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https://doi.org/10.37815/rte.v36ne1.1204

<= span lang=3DES>Artículos originales

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MoTE: Desarrollo de una Herramienta Informática para el Monitoreo del Compromiso Estudian= til

MoTE: Development of a Tool for Monitoring of sTudent Engagement

 

Jorge Maldonado-Mahauad1 https://orc= id.org/0000-0003-1953-390X, Felipe Mendieta= 1 https:// orcid.org/= , Carlos Muñoz1 https://orcid.org= /

 

1Universidad= de Cuenca, Cuenca, Ecuador<= o:p>

= jorge.maldonado@ucuenca.edu.ec, felipe.mendieta98@ucu= enca.edu.ec, carlos.munozg@ucuenca.edu.ec

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Esta o= bra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0

Enviado: 2024/07/11 Aceptado: 2024/1= 0/03 Publicado: 2024/10/15

 


Resumen

El compromiso estudiantil (engagement, en inglé= ;s) en el aprendizaje es crucial para el rendimiento académico, la motivación y la participación activa. Sin embargo, medir y dar cuenta del engagement estudiantil, tanto en sesiones presenciales como en línea, sigue siendo un d= esafío para los educadores. Los méto= dos existentes, como los autoinformes, las entrevistas= e incluso las herramientas de seguimiento ocular en tiempo real, carecen de un enfoque de participación multidimensional (es decir, cognitivo, afec= tivo y conductual). En respuesta, este artículo presenta el desarrollo y evaluación de MoTE, una herramienta en tiempo real para monitorear el engagement de los estudiantes. Siguiendo una metodología de Investigación Basada en el Diseño, detallamos las fases de identificación de indicadores y visualizaciones para satisfacer las necesidade= s de profesores y estudiantes, culminando con la propuesta de un prototip= o inicial. Se finaliza con la evaluación con 146 estudiantes en contextos presenciales y en lí= nea, proporcionando información valiosa sobre los indicadores, paneles y funcionalidades para diseñar una herramienta efectiva de seguimiento del engagement de los estudiantes. Este trabajo no solo propone un enfoque innovador para evaluar= el engagement, sino que también abre vías para futuras investiga= ciones y aplicaciones prácticas en educación.

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Palabras clave: analíticas de aprendizaje, compromiso estudiantil, herrami= entas pedagógicas, interacción en el aula.

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Abstract

Student engagement in learning is crucial for academic achievement, motivation, and active participation. However, measu= ring and accounting for student engagement, both in face-to-face and online session= s, remains a challenge for educators. Existing methods, such as self-reports, interviews, and even real-time eye tracking tools, lack a multidimensional engagement approach (i.e., cognitive, affective, and behavioral= ). In response, this article presents the development of MoTE, a real-time tool for monitoring student engagement. Following a Design-Based Research methodology, we detail the phases of identification of indicators and visualizations to meet the needs of teachers and students, culminating with= the proposal of the architecture, and the implementation of an initial prototyp= e. It ends with the evaluation with 146 students in face- to-face and online contexts, providing valuable information on the indicators, dashboards, and functionalities to design an effective tool for monitoring student engageme= nt. This work not only proposes an innovative approach to assessing engagement but also opens avenues for future research and practical applications in education.

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Keywords: pedagogical tools, learn= ing analytics, student engagement, classroom interaction.

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Introducción

La incorporación de la tecnología digital en el ámbito de la educación universitaria ha transformado profundamente la experiencia = del estudiante, modificando las estructuras tradicionales de enseñ= anza y aprendizaje. Este cambio apunta a la necesidad de adoptar nuevas estrategias pedagógicas que complementen la tecnología con métodos de enseñanza para mejorar el proceso educativo (Pérez-Sanagustín, et al., 2022).= Sin embargo, la mera presencia de la tecnología en el aula no garantiza = por sí sola un avance educativo significativo (Sosa, 2017). Por lo tanto= , es necesario que su integración facilite el acercamiento de los profeso= res a los estudiantes de una manera más significativa, fomentando un ent= orno educativo que incentive tanto la participación emocional como intelectual de los estudiantes con su proceso educativo (Bond, et al., 2020= ). En este contexto, surge una preocupación central entre los docentes,= y es la disminución del compromiso (engagement, en inglés) de l= os estudiantes en el aula, ya sea presencial (es decir, cara a cara) o a distancia (es decir, en línea) (Imlawi, 2021). El engagement de los estudiantes juega = un papel crucial en el proceso de enseñanza y aprendizaje de los estudiantes. Según una investigación reciente (Anand, 2023), = el nivel de engagement es un indicador clave del rendimiento académico,= el desarrollo cognitivo e incluso es un predictor de la deserción estudiantil. Un alto grado de compromiso significa que los estudiantes están involucrados emoci= onal y cognitivamente en su aprendizaje (Anand, 2023). Esto se traduce en una mayor motivación, participación en el aula y un mejor rendimiento académico.

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El papel del docente es fundamenta= l para promover este compromiso (Anand, 2023), donde la integración efectiv= a de las tecnologías digitales en el aula puede servir como una herramien= ta valiosa para capturar datos sobre el compromiso (engagement, en inglé= ;s) de los estudiantes, ofreciendo a los profesores la oportunidad de diseñar o rediseñar sus prácticas pedagógicas a partir de la evidencia de datos (Sosa, 2017). De esta manera, se pueden promover estrategias más efe= ctivas y adaptadas a las necesidades de los estudiantes. Para contribuir al campo de estudio, este artículo prese= nta MoTE (Monitoring sTudent Engagement), diseñada para supervisar la implicación/com= promiso de los estudiantes y diseñada para superar las limitaciones de las herramientas existentes y proporcionar una herramienta que abarque las necesidades tanto de los profesores como de los estudiantes. Mo= TE aborda la necesidad de monitorear y fo= mentar la participación de los estudiantes, destacando su importancia para el éxito académico. Para lograrlo, este artículo explora diversas definiciones y modelos de participación estudiantil

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que ponen de manifiesto su complejidad y la variedad = de factores que influyen en ella, desde la participación en el aprendizaje hasta el bienestar emocional y la participación conductual en el entorno educativo. Además, este artículo examina las técnicas y herramientas informáticas existentes diseñadas para evaluar y monitorear la participación de los estudiantes, que han servido como innovacio= nes tecnológicas que han dado forma a la forma en que los educadores= e investigadores abordan la participación de los estudiantes. También s= e presenta el proceso de diseño e implementaci&oacu= te;n seguido que puede servir de guía para el desarrollo de innovaciones educativas y que se logre su adopción en los contextos educativos.

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Este documento está organiz= ado de la siguiente manera. En la sección 2 se presenta el trabajo relacionado y las preguntas de investigaci= ón; en la sección 3 se describe la metodología utilizada y cómo se= diseñó, implementó y evaluó= ; (por estudiantes) la herramienta. En la sección 4 se presenta un res= umen de las principales conclusiones y las líneas de trabajo futuras.

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Trabajo Relacionado

Definición de Compromiso Estudiantil

Varios investigadores han ofrecido varias definiciones de la participación de los estudiantes. Por ejem= plo, autores como Fredricks, et al. (2004) mencionan que el engagement suele entenderse como el grado de implicación y esfuerzo que los estudiant= es invierten en su aprendizaje. Según Zapata (2018), el compromiso estudiantil se define como la participación activa de los estudiantes en las actividades académicas. Por su parte, Barkley (2010) describe el compromiso en un contexto univers= itario como un resultado dinámico, que se experimenta de manera continua y emerge de la interacción entre la motivación y el aprendizaje activo. Para los propósitos de este trabajo, la participación<= span style=3D'letter-spacing:-.4pt'> de los estudiantes se conceptualiz= a como el nivel de energía y esfuerzo que estos dedican a su entorno de aprendizaje (Bond, 2020). Esta definición de participación estudiantil es amplia, abarcando aspectos cognitivos, emocionales y conductuales, con un enfoque en la atención, la participación y la motivación de los estudiantes. La dimensi&oac= ute;n cognitiva del compromiso se refiere a los procesos mentales y actividades asociadas con el aprendizaje y la comprensión, lo que implica que los estudiantes participen en la construcción de significados, el razonamiento crítico<= span style=3D'letter-spacing:-.25pt'> y la resolución de problemas. Un estudiante comprometido cognitivamente muestra altos niveles de atención y concentración en las tareas académicas, además de un deseo de adquirir nuevos conocimientos y habilidades (Bond, 2020). La dimensión emocional del compromiso se centra en las respuestas afectivas de los estudiantes hacia su entorno educativo, incluyendo profesores, compañeros, estudios y la institución educativa en general. E= sto abarca sentimientos de conexión emocional, satisfacción y bienestar en relación con el aprendizaje y la experiencia académica. Los estudiantes comprometidos afectivamente muestran entusiasmo, interés y una actitud positiva hacia el proceso de aprendizaje. Finalmente, la dimensión conductual del compromiso se refiere a las acciones y comportamientos observables de los estudiantes en= el entorno educativo, como la participación en actividades de aprendizaje, la interacción con compañeros y profesores, y la asistencia regular a clases. Los estudiantes comprometidos conductualmente = demuestran un alto nivel de participación= y dedicación en su proceso educativo.

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Modelos par= a Estudiar el Engagement Estudiantil

El<= /span> engagement de los estudiantes <= /span>se desarrolla con la intenci&oacu= te;n de optimizar su aprendizaje y analizar su relación con= la deserción y la culminación exitosa de sus estudios (Reschly, = et al., 2012). Actualmente, el engagement se entiende como un concepto multidimensional que incorpora diferentes perspectivas, = como la emocional, la conductual y la cognitiva, entre otras. L= os modelos que se presentan a continuación ofrecen distintos marcos para entender cómo y por qu&e= acute; los estudiantes se involucran en su proceso de enseñanza y aprendizaje. El modelo de

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participación basado en Wong, et al. (2022) presenta una definición formal de la participación y desvinculación de los estudiantes, destacando que la participación de los estudiantes ocurre cuando participan activament= e en las actividades propuestas por el programa escolar. Esta visión pres= enta el compromiso y la desvinculación como conceptos opuestos y señala que la ausencia de compromiso se manifiesta a través d= el ausentismo, la apatía y la desmotivación entre los estudiantes. El modelo de participación e identificación introducido por Finn (2012), según (Beekhoven, 200= 5), distingue entre los componentes conductuales (participación) y emocionales (identificación) del comp= romiso del estudiante. La participación se describe como el involucramiento activo del estudiante en actividades académicas y no académicas, considerando el absentismo como una manifestación negativa de dicha participación. La identificación se refiere al sentido de pertenencia de los estudiantes a su escuela, donde se sienten aceptados, apoyados y valoran la educación.

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La<= /span> Teoría = del Flujo,= propuesta por Nakamura (2009), se centra= en la experiencia humana óptima conocida como "flujo", un estado mental de inmersión total y concentración en una actividad. Esta teoría sugiere que el fl= ujo se alcanza cuando hay un equilibrio entre el nivel de habilidad de la persona y el desafío que presenta = la tarea. El aprendizaje es más efectivo cuando los estudiantes se encuentran en un estado de flujo, ya que esto favorece la retención = de información, la solución de problemas complejos y el disfrute= del proceso de aprendizaje, gracias a objetivos claros y retroalimentació= ;n inmediata.

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El modelo multidimensional propues= to por Fredricks (2004) define el compromiso de los estudiantes como un metaconstr= ucto que incluye tres componentes principales: cognitivo, afectivo y conductual. Este modelo trasciende la idea de participación simple, enfatizando = no solo la importancia de= la participación o conducta de los estudiantes, sino tambi&eacut= e;n la relevancia de los aspectos emocionales y cognitivos del compromiso. Para este trabajo = se ha tomado como referencia este modelo, ya que su enfoque multidimensional permite una comprensión más completa del compromiso, facilita= ndo la identificación de estrategias pedagógicas y de intervención más efectivas para promover todos los aspectos d= el compromiso del estudiante. Además, proporciona un marco sólido para investigar cómo los diferentes componentes interactúan entre sí y contribuyen al éxito académico al considerar el compromiso de estas tres dimensiones interrelacionadas.<= /span>

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Herramientas para el Monitoreo del Engagement Estudiantil

El seguimiento de la participación de los estudiantes es un reto debido a la diversidad d= e sus componentes, pero se han desarrollado varias herramientas y técnicas para dar cuenta de la participació= ;n. Entre las técnicas más comun= es se encuentran: (1) Autoinformes, que recogen datos directamente de los estudiantes sobre su propia experiencia de aprendizaje, aunque var&iac= ute;an en contenido, lo que dificulta la comparación entre estudios (Darr, 2012); (2) Entrevistas, que proporcionan una comprensión profunda de las razones de la variabilidad en la participación de los estudiantes, ofreciendo detalles sobre sus experiencias y factores influyentes (Hofkens, 2019);

(3) Observaciones, útiles para identificar comportamientos relacionados con el compromiso individual o grupal, tanto positivos como negativos, mediante la evaluación del comportamiento académico (Rimm-Kaufman, 2009); y (4) medidas en tiempo real, como archivos de registro y seguimiento ocular, que proporcionan datos sobre las fluctuaciones en la participación de los estudiantes en activida= des en línea, aunque presentan desafíos en la interpretació= ;n de los datos para la aplicación pedagógica. Estas técn= icas demuestran la complejidad de medir la = participación de los estudiantes y la importancia de seleccionar métodos apropiados para mejorar la educación (Rimm-Kaufman, 2009).

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En relación con las herrami= entas utilizadas para analizar el compromiso de los estudiantes, han sufrido una revolución gracias al desarrollo de herramientas informáticas que permiten una evaluación precisa y en tiempo real. Entre estas herramientas informáticas se encuentran: Classmoto, una aplicación web diseñada para entornos universitarios, que destaca po= r su capacidad para medir las dimensiones sociales, afectivas y cognitivas del engagement. A través de breves cuestionarios administrados du= rante la clase, los profesores pueden obtener comentarios instantáneos, visualizables en un panel de control que refleja el nivel general e individual= de participación de los estudiantes, según l= o documentado por Bonner, et al (2022). SEAT, introduce una metodología multimodal para evaluar la participación, recopilando datos a través de cámaras, audio y navegación web. Esta aplicación procesa la información recopilada para ofrecer a los profesores un cuadro de mando que facilite la intervención personalizada en momentos críticos de desvinculación del alumnado, tal y como destacan = Aslan, et al (2019). Otra herramienta= es Sens, que surge como una solución para analizar<= span style=3D'letter-spacing:-.75pt'> el compromiso conductual y afectivo en tiempo real, utilizando cámaras y= sensores ambientales para capturar el grado de atención y las respuestas emocionales de los estudiantes. Los datos obtenidos permiten a los educador= es optimizar las estrategias didácticas y mejorar la experiencia educat= iva, tal y como se detalla en ViewSonic (2023).

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Por= último, Real Time<= span lang=3DES style=3D'letter-spacing:-.55pt'> Camera propone un enfoque novedoso basado en el reconocimien= to facial y de poses para monitorizar la atención de los estudiantes en el aula, utilizando algoritmos de aprendizaje automático para evaluar el compromiso (Uçar, 2022= ). Estas herramientas han mejorado= significativamente la comprensión y el seguimiento de la participación, contribuyendo a la evolución de los métodos pedagógicos en los entornos educativos digitales. En la = Tabla 1 se presenta un resumen de las herramientas anteriores presentadas.=

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Tabla 1

Resumen de Herramientas para medir el Engagement

 

HERRAMIENTA

METODOLOGÍA=

TECNOLOGÍAS= UTILIZADAS

PRINCIPALES RESULTADOS

 

 

Classmoto=

 

Aplicación web para medir la participación = de los estudiantes en el ámbito de la educación superior.

 

Encuesta en clase, compromiso social, emo= cional y cognitivo.

Eficiencia en la captura de datos en tiempo real, acceso inmediato para= los docentes, y reconocimiento de<= span style=3D'letter-spacing:2.0pt'> limitaciones con sugerencias para<= span style=3D'letter-spacing:2.0pt'> futuras mejoras.

 

SEAT=

Tecnología multimod= al An&aacut= e;lisis de la participación de los estudiantes en tiempo = real.

 

Registros <= /span>integrados de cámara, datos de plataforma, vídeo y audio.

Influencia = notable en las prácticas e duc a t i va s, re duc c i ón de l aburrimiento entre los estudiantes, y apoyo personalizado en tiempo real.

 

Sens=

Herramienta para la recolección de datos comportamentales y emocionales en tiempo real.

 

Sensores ambientales, cámara para medir la atención, panel de control.

Captura de datos en tiempo real, apoyo a decisiones estratég= icas para los docentes, y optimización de la exp= eriencia de aprendizaje.

 

Real Time Camera

Vigilancia = mediante cámaras para el reconocimiento facial y detec= ción de posturas de la cabeza en tiempo real.

 

Identificac= ión facial, posturas de la

cabeza, evaluación de distracciones.<= /span>

Éxito en la identificación facial = y la detección de posturas de la cabeza, vinculando la distracción con la ate= nción del estudiante.

Cada una de las herramientas prese= ntadas en la Tabla 1 para medir la participación de los estudiantes en los entornos educativos tiene sus propias limitaciones. Classmoto, aunque es ef= icaz en la recopilación de datos en tiempo real y proporciona visibilidad inmediata a los profesores, se enfrenta a restricciones que se han identificado y requieren recomendaciones para su desarrollo futuro. SEAT, que utiliza tecnología multimodal para el análisis de la participación de los estudiantes en tiempo real, tiene un impacto significativo en= las prácticas docentes y reduce el aburrimiento de los estudiantes, pero= su dependencia de múltiples fuentes de datos

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(cámara,= plataforma, <= /span>URL, video= y registros de audio) puede complicar su implementación y uso continuo. SENS, que recopila datos conductuales y afectivos en tiempo real a través de sensores ambientales y cámaras para métricas de atención, ofrece recopilación de datos en tiempo real y toma de decisiones estratégicas para los maestros, pero su enfoque en sensores y cámaras puede presentar desafíos en términos de privac= idad y aceptación por parte de los estudiantes. La herramienta Real Time Camera, especializada en el seguimiento del reconocimiento facial y las poses de la cabeza en tiempo re= al, ha tenido éxito en estas áreas específicas y en asocia= r la distracción con la atención de los estudiantes; sin embargo, = su aplicación puede limitarse a contextos en los que se priorizan estas métricas.

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Fin= almente, si bien estas<= span lang=3DES style=3D'letter-spacing:-.6pt'> herramientas <= /span>han demostrado ser efectivas y útiles = para medir<= span lang=3DES style=3D'letter-spacing:-.6pt'> la participación de los estudiantes, la amplia variedad de cuestionarios, análisis visuales, audi= tivos y táctiles, junto con el uso de cámaras y sensores, pueden presentar desafíos en la integración y gestión = de estos diversos datos en diferentes contextos educat= ivos. Además, muchos de estos métodos son invasivos p= ara los estudiantes, lo que requiere una herramienta menos intrusiva con la que= los estudiantes estén más familiarizados y se sientan más cómodos usando. Otro factor importante desde la perspectiva de las instituciones educativas es que la mayoría de las herramientas presentadas en la Tabla 1 para medir el compromiso son costosas de implementar y no son de libre acceso. Por estas razones, MoTE ha sido diseñado como una herramienta móvil abierta (https://mote.ucuenca.edu.ec/).

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Contribución y Preguntas de Investigación

En este artículo se present= a el proceso de diseño seguido para el desarrollo de MoTE (Monitoring sTu= dent Engagement), una herramienta en tiempo real para el seguimiento de la participación de los estudiantes. Los objetivos de la herramienta Mo= TE son: (1) monitorear la participación de los estudiantes; (= 2) proporcionar un tablero con visualización de datos para el profesor; (3) facilitar la interacción entre estudian= tes y profesores; y (4) garantizar la usabilidad = y accesibilidad. Para ello, MoTE recopila datos sobre la participación de los estudiantes en el contexto educativo (presencial / en línea). Dos preguntas de investigación guiaron todo el proceso de diseño = de MoTE que se describen a continuación:

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•      =    (P.I.1) ¿Cuáles s= on los indicadores y visualizaciones que deben incluirse en una herra-mienta para monitorear la participación de los estudiantes?

•      =    (P.I.2) ¿Cómo <= /span>perciben los usuarios finales un prototipo de herramienta que incluye los indicadores identificados en términos de usabilidad y experienci= a de usuario?

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Metodología

Para el diseño de MoTE se siguió el enfoque metodológico de la Investi= gación Basada en el Diseño DBR - Rei= nmann (2011). Este enfoque mezcla la investigación empírica sobre educación con teorías orientadas al diseño de ambiente= s de aprendizaje, desde el análisis y diseño hasta la implementación y evaluación. Para aplicar el enfoque metodológico DBR, se utilizó el marco de trabajo del Diseño Interactivo de Aprendizaje<= span style=3D'letter-spacing:-.6pt'> (ILD, Bannan-Ritland, 2003). El marco de ILD organiza el proceso de investigación en tres fases: (1) Exploración<= span style=3D'letter-spacing:-.55pt'> informada, en la que estudiamos las necesidades,= las teorías disponibles y la audiencia de la herramienta;

(2) Promulgación, fase en la que se propone e implementa el diseño de una herramienta; (3) Evaluación del impacto local, que tiene como objetivo evaluar el impacto de la intervención a nivel local, centrándose en preguntas de investigación particulares para ese contexto (ver Figura 1). A continuación, se describe cada una de las fases.=


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Figura 1

Fases del Marco ILD


 

Fase de Exploración Informada=

El objetivo principal de la fase de Exploración Informada fue identificar los indicadores= de participación a incluir en la herramienta MoTE considerando tanto a = los docentes como a los estudiante= s (relacionados con la P.I.1). En concreto, se realizó un análisis de los indicadores existentes en las herramientas existentes para identificar los indicadores que se utilizarán en la herramienta MoTE. Este proceso se estructuró en dos etapas: (1) análisis de los indicadores existentes; y (2) selección de indicadores.

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Paso 1. Análisis de los indicadores existentes. Se realizó un análisis de los indicadores desde una perspectiva multidimensional d= e la participación de los estudiantes. Dentro de la literatura, es posible evidenciar diferentes ind= icadores que han sido utilizados (Reschly, 2012), y varían en el número de ítems = de cada componente y de acuerdo con las fuentes consultadas. Por último, sobre la base de una reciente revisión sistemática de (Bond, 2020) se presenta una clasificación de los cinco indicadores más utiliza= dos (véase la Tabla 2).

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Tabla 2

Indicadores= de Engagement más utilizados

 

N.=

CONDUCTUAL

AFECTIVO=

COGNITIVO

= 1=

Involucramiento / Participación

/ I= nteracción.

Relaciones positivas con<= span style=3D'letter-spacing:2.0pt'> compañeros y docentes.

Aprendizaje Colaborativo.

2

= Logros.=

= Placer.=

= Autogestión.=

3

Seguridad en uno mismo.

= Interés.=

Comprensión profunda.

4

Asumir responsabilidades.

= Entusiasmo.=

Pensamiento crítico.

= 5=

Hábitos de estudio.

Sentimiento de conexión / satisfacción emocional.

Concentración = en la tarea.

Los indicadores de participaci&oac= ute;n estudiantil más utilizados abarcan las dimensiones conductual, afect= iva y cognitiva. Los indicadores de comportamiento, como la participació= n, los logros, la confianza, la responsabilidad y los hábitos de estudi= o, reflejan la participación y el = compromiso de los estudiantes. Los indicadores<= span style=3D'letter-spacing:-.2pt'> afectivos, como las interacciones positivas, el disfrute, el interés, el entusiasmo y l= os sentimientos de conexión, destacan los aspectos emocionales del compromiso. Los indicadores cognitivos como el aprendizaje de los compañeros, la autorregulación, el aprendizaje profundo, el pensamiento crítico y el enfoque en las tareas demuestran el compromiso intelect= ual de los estudiantes. Estos indicadores proporcionan una comprensión integral de cómo los estudiantes interactúan, sienten y proce= san cognitivamente sus experiencias educativas.

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Paso 2. Selección de indica= dores. Con base en la lista de indicadores de la Tabla 2 y considerando los cuatro objetivos del MoTE (sección D), se seleccionaron varios indicadores para monitorear y reflejar las múltiples dimensiones de la participación de los estudiantes (conductual,

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cognitiva y afectiva. Ver Tabla 3). MoTE puede complementar las otras herramientas revisadas al pr= oporcionar un enfoque más integrado y menos intrusivo para medir la participación= de los estudiantes. Si bien herramientas como Classmoto, SEAT, Sens y Real Time Camera ofrecen informaci&oacut= e;n valiosa a través de varios métodos de recopilación de datos, MoTE tiene como objetivo optimizar esta información en una plataforma móvil que sea accesible y fácil de usar tanto para estudiantes como para educadores. La decisi&oacu= te;n de incluir indicadores específicos en MoTE se basó en su eficacia comprobada para capturar aspectos críticos de la participación. Los indicadores co= nductuales, como la participación en clase, reflejan la implicación activa, los indicadores cognitivos, como la autorregulación hacia los objetivos, abarcan los procesos de aprendizaje profundo, y los indicadores afectivos, como la pertenencia y el estado emocional, captan la conexi&oacu= te;n y los sentimientos de los estudiantes hacia su experiencia educativa. Al integrar estos indicadores seleccionados, MoTE proporciona un método integral pero simplificado para rastrear y mejorar la participación de los estudiantes en diversos entornos educativos.

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Tabla 3

Indicadores de Engagement seleccionados

 

COMPONENTE

INDICADOR

VARIABLE

= Conductual.=

Involucramiento en la clase.

Observaciones y preguntas durante la clase.

= Afectivo.=

Autogestión de metas, metacogn= ición, comprensión profunda.

Responder encuestas, comprender o no comprender un tema

 

= Cognitivo.=

Sentido de pertenencia, conexión percibida con profesores = y compañeros en la universidad, interés, disfrute.

 

El estado emocional del estudiante durante la clase.

Las métricas y variables presentadas en la Tabla 3 proporcionan un marco estructurado para el diseño de MoTE, centrándose en las dimensiones conductuales, cognitivas y afectivas de la participación de los estudiantes. Para el componente conductual, el indicador de participación en clase, medido a través de comentarios y dudas en clase, se puede incorporar a MoTE incluyendo botones de acción para que los estudiantes envíen preguntas y comentarios en tiempo real. Esto permitirá un seguimiento activo y fomentará la participación de los estudiantes.

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En la dimensión cognitiva, indicadores como la autorregulación hacia metas, la metacognici&oacu= te;n y el aprendizaje profundo se pueden evaluar a través de opciones para que los estudiantes respondan encuestas, proporcionen retroalimentación sobre su comprensión o indiquen= si no entienden un tema. Los botones de acción para estas respuestas pueden facilitar ajustes en tiempo real en los métodos y materiales de enseñan= za para adaptarse mejor a las necesidades de los estudiantes. Para el componente afectivo, indi= cadores como la pertenencia, la conexión per= cibida con la clase, el interés y el placer por aprender se pueden rastrear monitoreando el estado emocional del estudiante durante toda la clase. MoTE puede incluir funciones como rastreadores de estado de ánimo o indicaciones para que los estudiantes expresen sus sentimientos sobre la clase. Estos podrían implemen= tarse como simples botones de acción o controles deslizantes que<= span style=3D'letter-spacing:-.5pt'> permiten a los estudiantes expr= esar su estado emocional en diferentes momentos d= e la lección. Al integrar estos indicadores y variables, MoTE puede ofrec= er una herramienta integral y dinámica para que los educadores midan y mejoren la participación de los estudiantes. El uso de botones accionables y funciones interactivas garantiza que la recopilación de datos sea fluida y que los comentarios de los estudiantes se incorporen continuamente al proceso de aprendizaje.

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Diseño e Im= plementación

Esta sección se dedica a detallar el proceso de diseño e implementación de MoTE, desde la idea inicial hasta la versión final. Se expone cómo se conceptualizó la herramienta y cómo se identificaron los requisitos funcionales y no funcionales, asegurando su adecuación tanto a los usuarios como al objetivo educat= ivo. El diseño y la implementación de MoTE se inspiran en la metodología Lean Startup de (Ries, 2011), que promueve el desarrollo ágil y adaptativo de productos, así como en los principios de usabilidad y diseño centrado en el usuario, tal como lo describe (Nielsen, 1993). MoTE no solo pretende ser una herramienta para recopilar d= atos sobre la participación de los estudiantes, sino también un recurso para mejorar la dinámica educativa mediante la comunicación efectiva y la retroalimentación en tiempo real. Este enfoque iterativo y basado en la evidencia es crucial en el ámbito = del desarrollo de tecnolog&ia= cute;a educativa, ya que facilita la creación de soluciones que no solo son técnicamente sólidas, sino también pe= dagógicamente significativas. La estructura de MoTE se organiza en dos módulos principales: la interfaz para el estudiante y la interfaz para el profesor.

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Interfaz del Estudiante

Los prototipos iniciales de las pantallas se desarrollaron utilizando el método de Diseño por Analogía (Design by Analogy en inglés) (Jia, et al., 2018). Este enfoque consiste en incorporar caracter&= iacute;sticas de diseño exitosas de aplicaciones ya consolidadas. Basándose en los princip= ios teóricos, se propusieron= funcionalidades preliminares c= omo encuestas y comentarios = en tiempo real. Al aplicar DbA, se adoptaron las funciones de inicio de sesión de Kahoot para los profesores y las encuestas de Socrative para los estudiantes. El primer prototipo se presenta en la Figura= 2.

 = ;

Figura 2

Primera Iteración de MoTE


 

Una vez que se completó el = primer prototipo interactivo de MoTE (ver Figura 2) (basado en la revisión = de la literatura y la Tabla 3), se recibió una retroalimentación temprana de los 3 investigadores que eran expertos en el campo de las tecnologías educativas a través

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de entrevistas. A través de estas, fue posible validar inicialmente las opciones iconográficas utilizadas para refl= ejar la multidimensionalidad de la participación de los estudiantes en la herramienta MoTE. Ademá= s, también se entrevistó a 15 estudiantes y 10 profesores sobre = su percepción de las primeras pantallas. A partir de los resultados obtenidos en las entrevistas, se incorporaron nuevas funcion= es y se reorganizaron algunas pantal= las, en consonancia con DBR. Además, para optimizar la estética y la accesibilidad de la interfaz, se aplicaron los pri= ncipios de diseño universal de (Lidwell, 2003). La Figura 3 presenta el resultado de la segunda iteración de MoTE. Se agregaron nuevas funciones y se reestructuraron algunas pantallas.

 = ;

Figura 3

Segunda Iteración de MoTE


 

Interfaz del Profesor

Ini= ciamos con un prototipo básico, explorando ideas y posibles funcionalidades, aplicando la misma metodología que los estudiantes. Este proceso permitió identificar funcionalidades clave= , rediseñar la apariencia<= span style=3D'letter-spacing:-.1pt'> y ajustar las características. En el menú, se emple&oacut= e; el diseño por analogía, tomando como referencia a Socrative for Teachers. La inspiración en Socrative se utilizó para diseñar una herramienta que proporcione información en tiempo real y facilite la participación intera= ctiva.

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De manera similar a cómo Socrative permite a los maestros crear cuestionarios, monitorear las respue= stas de los estudiantes al instante y ajustar las estrategias de enseñanz= a en función de la retroalimentación inmediata, el tablero puede incluir funciones que rastrean la participación, la comprensió= ;n y el compromiso emocional de los estudiantes durante las lecciones. Al proporcionar estas funciones interactivas y en tiempo real, el tablero puede empoderar a los maestros para tomar decisiones informadas, mejorar la participación de los estudiantes y mejorar la experiencia de aprendizaje en general. Después de varias interacciones y en funci&oacut= e;n de los comentarios de 3 expertos en educación, el tablero del profesor se presenta en la Figura 4.

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Figura 4

Prototipo <= /span>del Dashboard del Profesor de MoTE


(a)    Pantalla pri= ncipal del profesor<= /p>

<= /span>

(b)    Pantalla principal de resultados de la sesión del profesor

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Descripción de la herramienta

El<= /span> proceso de diseño= interactivo pone de manifiesto la creciente popularidad de los emojis como medio de comunicación en entornos digitales. Ha sido reconocido por su capacidad para aclarar in= tenciones comunicativas, desempeñar roles verbales y no verbales en la comunicación y revelar aspectos de la personalidad del usuario (Kaye, et al., 2017). En = este contexto, se utilizaron emojis para diseñar interacciones, capturándolas a través de toques que luego serán visib= les para los profesores a través de un tablero.

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Engagement Conductual: Un= enfoque que los docentes pueden emplear para involucrar más a los estudiantes es mediante discusiones en clase o actividades= que utilicen respuestas anónimas. El método tradicional de levant= ar la mano puede causar que algunos estudiantes sean reacios a responder preguntas plan= teadas en clase, limitando su participaci&= oacute;n a momentos en que otros compa&nt= ilde;eros ya han intervenido (Reeve, et al., 2020). Teniendo esto en cuenta, se crearon dos opciones para monitorear este indicador, enviando comentarios y enviando dudas al profesor. Las opciones están representadas = por dos botones (comentario de clase y signo de interrogación, Figura 5a)= .

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Engagement Cognitivo: Recop= ilar información sobre el componente cognitivo del compromiso estudiantil es un desafío, ya que no es tan fácilmente observable como el comportamiento. No obsta= nte, una manera de enfrentar este reto es utilizar dispositivos electróni= cos para proporcionar retroalimentación, junto con preguntas diseñadas para evaluar los niveles de compromiso cognitivo, conductual y emocional de los estudiantes. Estas opciones se presentan mediante dos botones (encuesta, No entiendo, Figura 5b)= .

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Engagement Afectivo: Para= supervisar este indicador= , se desarrollarán tres opciones que permitirán hacer un seguimiento de los siguientes indicadores (Excelente clase, Tengo sueño, solicito un desc= anso, expreso mis emociones, Figura 5c).

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Figura 5

Prototipo <= /span>del Dashboard del Profesor de MoTE


 

Arquitectura de la herramienta: La arquitectur= a de la herramienta se diseñ= ;ó utilizando el modelo C4, desarrollado por Simon Brown (2016). Este enfoque sugiere describir la arquitectura en cuatro niveles: Contex= to, Contenedores, Componentes y Código. A continuación, se describen el front, backend y la base de datos. El frontend de MoTE, desarrollado con Angular, actúa como la interfaz de usuario a través de la cual estudiantes y profesores interactúan con la aplicación; los estudiantes envían datos sobre su engagement, mientras que los profesores accede= n y visualizan esta información. En el backend, implementado con Node.js= y Express, se gestiona la lógica central del negocio, procesando las llamadas de la API proveniente= s del frontend y asegurando una transferencia eficiente y en tiempo real de los d= atos de engagement mediante JSON/HTTPS y Objects/Sockets. Finalmente, la base de datos, alojada en MongoDB, almacena toda la información relevante de la aplicación, incluyendo detalles de las salas, datos de usuarios, encuestas y otros elementos interactivos, beneficiándose de la flexibilidad y capacidad de manejo de grandes volúmenes de datos no estructurados que ofrece MongoDB.

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Figura 6

Diagrama de Contexto de la aplicación MoTE


 

Evaluación Local

Se realizó una evaluación local con el objetivo de comprender cómo lo= s usuarios finales perciben un protot= ipo de herramienta que incorpora los indicadores identificados, centrándose en su usabilidad y experiencia de usuario (en relación con P.I.2). Para esta evaluación, se seleccionaron 2 aulas presenciales y 1 aula en línea para = las pruebas, con un total de 146 estudiantes participando activamente (G1 presencial<= span style=3D'letter-spacing:-.35pt'> n=3D 23, G2 presencial n=3D 25, G3 online n=3D 98). La elección de estos grupos se hizo con el fin de cubrir diversos contextos de aprendizaje. Se invitó a los participantes a unirse de manera voluntaria. Las pruebas de usabilidad y experiencia de usuario se llevaron a cabo entre el 3 de noviembre de 2023 y el 9 de ene= ro de 2024. Para evaluar de manera integral la usabilidad y la experiencia de usuario de la aplicación MoTE, = se emplearon dos téc= nicas reconocidas en el ámbito de la interacción persona-computadora: el cuestionario de la Escala de Usabilidad del Sistema (SUS) y el Cuestionario= de Experiencia de Usuario (UEQ). Además de los cuestionarios SUS y UEQ, se recopiló retroalimentación cualitativa de los estudiantes mediante encuestas abiertas y sesiones de retroalimentación grupal.

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Res= ultados de la evaluaci&oac= ute;n local: En cuanto al UEQ, los valores superiores a 0,8 indican una evaluaci&oacu= te;n positiva, mientras que los valores inferiores a -0,8 reflejan una evaluación negativa (Schrepp, 2023). La Tabla 4 resume los resultados obtenidos. Los datos del UEQ muestran variaciones en las percepciones de la experiencia de usuario entre los diferentes grupos, con el grupo G3 en línea registrando puntuaciones más altas en casi todas las categorías evaluadas. Esto sugiere que MoTE podría ser percibido como más útil y eficaz en entornos de aprendizaje virtuales, posiblemente debido a una mayor dependencia de las herramientas digitales para la interacción y participación en estos contex= tos. Estas diferencias también podrían reflejar la naturaleza de las interacciones en entornos presenciales y virtuales, donde la comunicación no verbal y las dinámicas de grupo en aulas físicas pueden influir en cómo se percibe la necesidad y utilidad de la herramienta.

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Tabla 4

Resumen de Resultados UEQ=

 

COMPONENTES

MEDIA G1 (sd) n=3D23

MEDIA G2 (sd) n=3D25

MEDIA G3 (sd) n=3D98

= Atracción=

1.4 (1.4)

1.6 (1.1)

1.5 (0.9)

Transparencia

0.9 (1.5)

1.5 (1.2)

1.6 (0.7)

Eficacia

1.2 (1.1)

1.4 (1.3)

1.8 (0.8)

Controlabilidad

0.8 (1.4)

1.0 (0.8)

1.8 (1.0)

Estimulación

1.0 (1.5)

1.0 (1.6)

2.0 (1.3)

Novedad

1.2 (0.8)

1.0 (1.2)

2.5 (0.7)

 

En cuanto al SUS, este produce un valor único que representa una medida general de la usabilidad del sistema. Cada ítem del cuestionario contribuye con cinco opciones que van de 0 a 4 (desde “Totalmente de acuerdo”= ; hasta “Totalmente en desacuerdo”). Las puntuaciones del SUS varían entre 0 y 100. La Tabla 5 resume los resultados obtenidos. Los resultados= del SUS revelan una variabilidad en la percepción de la usabilidad de la herramienta entre los estudiantes de los diferentes grupos. Aunque algunos estudiantes valoraron positivamente la usabilidad de = la aplicación, otros señalaron dificultades, lo que sugiere áreas de mejora en la interfaz y la experiencia del usuario. Esta variabilidad en las puntuaciones destaca la importancia de considerar una<= span style=3D'letter-spacing:-.25pt'> amplia gama de experiencias de usuario durante el diseño de herramientas y en el proceso de mejora continua.

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Tabla 5

Resumen de Resultados SUS=

 

COMPONENTES

MEDIA POR GRUPO

SUS PUNTAJE

Grupo 1 – Presencial

= 74.8=

= Bien=

Grupo 2 – Presencial

= 69.75=

= Bien=

Grupo 3 – En lí= nea

= 84.25=

= Excelente=

Resultados de las interacciones con MoTE: Para comprender cómo los estudiantes perciben el prototipo MoTE en términos de interaccion= es con la herramienta (P.I.2), se realizó un análisis descriptivo de los datos para determinar la frecuencia de cada tipo de interacción. La Tabla 6 proporciona una descripción detallada de cómo= los estudiantes utilizan las diferentes funcionalidades de MoTE en tres clases distintas, reflejando la<= span style=3D'letter-spacing:-.75pt'> frecuencia de uso y el porcentaje correspondiente a cada característica. A partir de estos datos, es posible inferir preferen= cias de uso y detectar áreas de me= jora potencial para la interfaz de la herramienta que se explica a continuación: (1) Expresar m= is emociones: Esta función es la más utilizada, lo que indic= a un alto valor por parte de los estudiantes para comunicar= su estado emocional de forma anónima. Su alta frecuencia = de uso sugiere que la herramienta satisface una importante necesidad de autoexpresión en el aula; (2= ) Clase excelente: La segunda característica más popular permite<= span style=3D'letter-spacing:2.0pt'> a los estudiantes expresar su satisfacción con la clase, lo cual es un indicador positivo de compromiso. La variación en su uso entre clases sugiere que puede es= tar influenciado por el contenido o la dinámica de la clase especí= ;fica; (3) Tengo sueño, No entiendo, Comentarios sobre la clase, Solicitar un descanso: Estas cara= cterísticas se utilizan con menos frecuencia, lo que podr&ia= cute;a indicar una serie de cosas, como una menor necesidad percibida de estas opciones, posibles barreras psico= lógicas para expresar vulnerabilidad o fatiga, falta de visibilidad en la interfaz<= span style=3D'letter-spacing:.75pt'> de la herramienta o tal vez miedo al profesor. Este hallazgo subraya la necesidad

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de realizar más investigaciones sobre có= ;mo se pueden optimizar la interfaz y la experiencia del usuario para fomentar una comunicación más abierta y honesta sobre las necesidades y dificultades de los estudiantes durante la clase.

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Tabla 6

Resumen de Interacciones con MoTE

 

FUNCIÓN DE LA APLICA-CIÓN

FRECUENCIA G1

FRECUENCIA G2

FRECUENCIA G3

TOTAL FRECUENCIA

% DE USO

Expresando mis emociones.

22=

43=

17=

82=

= 40.20=

Clase excelente.=

= 2=

24=

21=

47=

= 23.04=

= Tengo sueño.

15=

13=

= 2=

30=

= 14.71=

No entiendo.

= 3=

14=

= 1=

18=

= 8.82=

Comentarios sobre la clase.

= 3=

= 6=

= 5=

14=

= 6.86=

Solicita un descanso.

= 4=

= 7=

= 2=

13=

= 6.37=

= Interacciones totales.

49=

107=

48=

204=

 

 

Retroalimentación cualitati= va: El análisis cualitativo de la retroalimentación de los estudiantes destacó<= span style=3D'letter-spacing:-.45pt'> varios aspectos clave para mejorar tanto la interfaz como las funcionalidades de la herramienta. Entre las sugerencias más relevantes se encuentran: (1) agregar nuevas emociones para capturar estados más específicos como "cansado" o "aburrido", (2) mej= orar la organización de la interfaz y añadir funcionalidades como un temporizador para la clase,

(3) hacer la herramienta más atractiva visualm= ente, (4) asegurar que el progreso de la barra de herramientas no se pierda al recargar la página, y (5) implementar la detección automática de una respuesta del estudiante cada 35 = a 40 minutos. Esto indica que los estudiantes desean comunicar sus necesidades al profesor durante cada sesión de clase.

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Conclusiones y trabajo futuro

En este artículo, se siguió el proceso de investigación basado en el diseño para crear MoTE, una herramienta en tiempo real para monitorear la participación de los estudiantes. A partir de todo el proceso, abordamos dos preguntas de investigaci&= oacute;n, cuyos resultados podrían servir de inspiración para aquellos investigadores dispuestos a proponer soluciones para medir el compromiso dentro del aula= (ya sea presencial o en línea). Con respecto a la PI1 sobre el tipo de indicadores y visualizaciones a utilizar, identificamos a travé= s de diferentes talleres con expertos y docentes: (1) los tipos de indicadores necesarios para medir el compromiso cognitivo, afectivo y conductual; y (2) un conjunto de visualizaciones para representarlos. A partir de estos indicadores y visualizaciones, implementamos un primer prototipo de herramienta MoTE para ser evaluado en contextos reales. Respecto a la RQ2 sobre la usabilidad y experiencia de usuario de los usuarios finales sobre la herramienta. Realizamos una evaluación local con 146 estudiantes y una evaluación amplia = con 58 estudiantes. Los resultados indican que los estudiantes valoraron positivamente la información proporcionada con la herramienta como b= uena y clara para monitorear el compromiso de los estudiantes con la sesión. Sin embargo, se deben realizar algunas mejoras para mejorar la herramienta desde la perspectiva del estudiante. = La variabilidad en las puntuaciones del SUS y los comentarios de los estudiant= es ponen de relieve áreas específicas de mejora, como la necesidad de una interfaz más intuitiva y la inclusión de funcionalidades adicionales que reflejen con mayor precisió= ;n las necesidades y emociones de los estudiantes.

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El análisis de cómo = los estudiantes interactúan con MoTE proporciona información valiosa sobre el uso de sus funcionalidades en entornos educativos reales. Al optimizar la interfaz y reajustar o resaltar ciertas funcionalidades, se podría promover un uso más equilibrado y efectivo de la herramienta. Basado en los resultados de este estudio, se proponen las siguientes recomendaciones para futuras versiones de MoTE:

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1.      Mejora continua de la interfaz y las funcionalidades: Se sugiere seguir mejorando = la interfaz de usuario de MoTE para que sea más intuitiva y accesible. También es esencial integrar nuevas emociones y funcionalidades de prueba, como un temporizador para las sesiones de clase, basándose e= n la retroalimentación de los estudi= antes.

2.       Evaluación continua: Es cruc= ial mantener un proceso constante de evaluación de la usabilidad y la experiencia del usuario, empleando métodos tanto cuantitativos (como= SUS y UEQ) como cualitativos (retroalimentación abierta de los estudiantes) para orientar las mejo= ras de la aplicación.

3.      Investigaciones futuras: Es necesario investigar el impacto a largo plazo del uso de MoTE en la participación y el rendimiento de los estudiantes, así como su efectividad en distintos entornos educativos (como los híbridos) y en diversas disciplinas académicas= .

4.      Mejorar la visibilidad de las funciones menos utilizadas: Dado que las funciones menos utilizadas pue= den ser esenciales para el bienestar y el aprendizaje ef= ectivo de los estudiantes, es recomendable hacerlas más visibles en la interfaz. Por ejemplo, posicionar opciones como "Tengo sueño" y "No entiendo" en lugares más destacados podría incentivar su uso.

5.      Personalización de la interfaz: Permitir que los estudiantes personalicen la interfaz pa= ra destacar las funcionalidades que consideran más importantes podría mejorar su experi= encia de usuario y promover el uso completo de las funciones dispo= nibles.

6.      Educación y fomento del uso= : Mediante sesiones de orientación o materiales de ayu= da integrados en la herramienta, se puede instruir a los estudiantes sobr= e la importancia y el propósito de cada funcionalidad, especialmente aquellas que se usan menos, con el fin de promover un uso más equilibrado.

 = ;

Este estudio también<= span style=3D'letter-spacing:-.75pt'> tiene algunas limitaciones que serán abordadas en trabajos futuros. Por un lado, en las Fases = de Diseño de la metodología, se ha trabajado principalmente con = estudiantes que solo fueron incluidos para la evaluación amplia. El trabajo futuro incluirá grupos focales y sesiones para diseñar mejor el lado del maestro. Por otro lado, realizamos la evaluación exhaustiva con solo dos cursos presenciales y un curso en lín= ea para analizar la experiencia de usuario y los problemas de usabilidad de la herramienta. Para complementar = este estudio, planeamos realizar estudios a gran escala y a largo plazo para analizar cómo los estudiantes y profesores utilizan la herramienta e= n el contexto del mundo real del aprendizaje y su impacto en sus estrategias.

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Creemos que los resultados obtenid= os en este trabajo podrían beneficiar a otros investigadores de la comunidad. En primer lugar, esperamos que los indicadores y visualizaciones extraídos de nuestro estudio empírico puedan servir de inspiración para el diseño de nuevas herramientas con fines similares. En segundo lugar, pensamos que los instrumentos y métodos utilizados también podrían ser utilizados por otros investigadores para validar sus propias soluciones y realizar estudios comparativos. Finalmente, esperamos que el proceso descrito pueda servir co= mo ejemplo de cómo aplicar el enfoque DBR para adaptar una herramienta existente a otro contexto.

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Agradecimientos

Este artículo recibió el apoyo= de la Vicerrector&i= acute;a Académica de la Universidad de Cuenca y la Dirección de Innovaci&oacu= te;n Educativa.

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Referencias

Anand, R., & Gupta, N. (2023). Impact of online learning on student engagement and academic performance. Praxis International Journal of Social Science and Literature, 6(7), 29–40. https://doi.org/10.51879/ PIJSSL/06070= 3

 

Aslan, S., et <= /span>al. <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>(2019). <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>Investigating <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>the <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>impact <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>of <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>a real-time, multimodal student engagement analytics technology in authentic classrooms. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1–12). ACM. https://doi.org/10.1145/3290605.3300534

 

Bannan-Ritland, B.<= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.15pt'> (2003). The= role of<= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.15pt'> design in<= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.15pt'> research:<= /span> The= integrativ= e learning design framework.= Educational Researcher, 32(1), 21–24. https://doi.org/10.3102/0013189X0= 32001021

 

Barkley, E. F. (2010). Student engagement techniques:= A handbook for college faculty. Jossey-Bass.<= /p>

 

Beekhoven, S., & Dekkers, H. (2005). The influence of participation, identification, and parental resources on the early school lea= ving of boys in the lower educational track. European Educational Research Journal, 4(3), 195–207. https://doi.org/10.2304/eerj.2005.4.3.4

 

Bond, M., et al. (2020). Mapping research in student engagement and educationa= l technology in higher education: A systematic evidence map. International Journal of Educational Technology in Higher Education, 17(1),

2. https://doi.org/10.1186/s41239-019-0176-8<= /span>

 

Bonner, E., et al. (2022). Measuring real-time learner engagement in the Japanese EFL classroom. Innovation in

Language Learning and Teaching<= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt'>, 1–11. https://doi.org/10.1080/17501229.= 2021.2025379<= /span>

 

Darr, C. W. (2012). Measuring student engagement: = The development of a scale for formative use. In S. L. Christenson, et al. (Eds= .), Handbook of Research on Student Engage= ment (pp. 707–723). Springer US. https://doi.org/10.1007/978= -1-4614-2018-7_34

 

Finn, J. D., & Zimmer, K. S. (2012). Student engagement: What is it? Why does it matter? In S. L. Christenson, et al. (Eds.), Handbook of Research on Stu= dent Engagement (pp. 97–131). Springer US. https://doi. org/10.1007/= 978-1-4614-2018-7_5

 

Fredricks, J. A., et al. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/003465430= 74001059

 

Hofkens, T. L., & Ruzek, E. (2019). Measuring student engagem= ent to inform effective interventions in schools. In Handbook of Student Engag= ement Interventions (pp. 309–324). Elsevier. https://doi.org/10.1016/B978- 0-12-813413-= 9.00021-8

 

Imlawi, J. (2021). Students’ engagement in e-learning applications: The impact of sound’s elements. Education and Information Technologies= , 26(5), 6227–6239. https://doi.org/10.1007/s10639-021-10605-0=

 

Jia, L.-Z., et al. (2018). Design by analogy: Achieving more patentable ideas from one creative design. Chinese Journal of Mechanical Engineering, 31(1), 37. https://doi.org/10.1186/s10033-01= 8-0234-5

 

Kaye, L. K., et al. (2017). Emojis: Insights, affordances, and possibilities for psychological science. Trends in

Cognitive Sciences, 21(2), 66–68. https://doi.org/10.1016/j.tics.20= 16.10.007 Lidwell, W., et al. (2003). Univers= al principles of design. Rockport.

McKenney, S. E., & Reeves, T. C. (2019). Conducting educational design research. Routledge/Taylor & Francis Group.

 

Nakamura, J., & Csikszentmihalyi, M. (2009). Flow theory and research. In S. J. Lopez & C. R. Snyder (Eds.), The Oxford Handbook of Positive Psychology (pp. 194–206). Oxford University Press. https://doi.= org/10.1093/ oxfordhb/978= 0195187243.013.0018

 

Nielsen, J. (1993). Usability engineering. Academic Press.

 

Pérez-Sanagustín, M., et al. (2022). Designing a Moodle plugin for promoting learners’ self-regulated lear= ning in blended learning. In I. Hilliger,= et al. (Eds.), Educating for a New Fut= ure: Making Sense of Technology-Enhanced Learning Adoption (pp. 324–339). Springer International Publishing.= https://doi. org/10.1007/= 978-3-031-16290-9_24

 

Reeve, J., et al. <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>(2020). How <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>and why <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>students make <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>academic progress: <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>Reconceptualizing the <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>student engagement construct to increase its explanatory power. Contemporary Educational Psychology, 62, 101899. https:// doi.org/10.1= 016/j.cedpsych.2020.101899

 

Reimann, P. (2011). Design-based research. In L. Markauskaite, et al. (Eds.), Methodological Choice and Design

(pp. 37–50). Springer Netherlands. https://doi.org/10.1007/978-90-481-8933-5_3<= /span>

 

Reschly, A. L., & Christenson, S. L. (2012). Jingle, jangle, and conceptual haziness: Evolution and future directions of the engagement construct. In= S. L. Christenson, et al. (Eds.), Hand= book of Research on Student Engagement (pp. 3–19). Springer US. https://doi.org/10.1007/978-1-461= 4-2018-7_1

 

Ries, E. (2011). The lean startup: How today’s entrepreneurs use continuous innovation to create radically successful businesses. Crown Business.

 

Rimm-Kaufman, S. E., et al. (2009). The contributi= on of children’s self-regulation and classroom quality to children’s adaptive behaviors in the kindergarten classroom. Development= al Psychology, 45(4), 958–972. https://doi.org/10.1037/a00= 15861

 

Schrepp, M. (2023). Enhancing the UEQ heuristic for data cleansing by a threshold for t= he number of identical responses. https://rgdoi.net/10.13140/RG.2.2.35853.00480

 

Sosa Neira, E. A., et al. (2017). Emerging technologies (ETs) in education: A systematic review of the literature published between 2006 and 2016. International Journal of Emerging Technologies in Learning (iJET), 12(5), 128. https://doi.org/10.3991/ijet.v12i05.6939

 

Uçar,= M. U., & Özdemir, E. (2022). Recognizing students and detecting student engage= ment with real-time image processing. Electronics, 11(9), 1500. https://doi.org/10.3390/electronics11091500

 

ViewSonic. (2023). Sens. https://myviewboard.com/pro= ducts/sens/<= /span>

 

Wong, = Z. Y., & Liem, G. A. D. (2022). Student engagement: Current state of the construct, conceptual refinement, and future research directions. Educational Psychology Review,<= span style=3D'letter-spacing:-.55pt'> 34(1), 107–138. <= span lang=3DES>https://doi.org/10.1007/ s10648-021-0= 9628-3

 

Zapata, G., et <= /span>al. <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>(2018). <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>Compromiso <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>estudiantil <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>en <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>educación <= /span>superior: <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>Adaptación <= /span>y validación <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>de <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>un <= span lang=3DES style=3D'font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height:1= 03%; letter-spacing:-.1pt'>cuestionario de evaluación en universidades chilenas. Calidad en = la Educación, 48, 204. https://doi.org/10.31619/ caledu.n48.4= 82

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