Integración del aprendizaje colaborativo y Perplexity IA para potenciar la evaluación formativa interactiva en el curso Planeación Estratégica en una universidad pública de Apurímac
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Pontificia Universidad Católica del Perú
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Resumen
La incorporación de la inteligencia artificial en la educación superior representa una oportunidad clave
para transformar la evaluación formativa, haciéndola más dinámica y centrada en el desarrollo de
competencias. En este marco, el presente proyecto de innovación en la docencia universitaria busca
analizar y abordar la problemática de una evaluación basada en contenidos en el curso de
“Planificación Estratégica”. Para responder a esta demanda, se diseñó una propuesta metodológica
innovadora que integra el aprendizaje colaborativo y la inteligencia artificial, permitiendo así el
desarrollo de una evaluación formativa que potencie los aprendizajes y competencias de los
estudiantes. De esta manera, se promueve una evaluación más auténtica, significativa y alineada con
las exigencias del contexto educativo actual y del mercado laboral. Para lograrlo, en primer lugar, se
llevó a cabo una revisión exhaustiva de la literatura y los antecedentes relacionados con la innovación,
así como un estudio del contexto del curso de estudio. En segundo lugar, se desarrolló la propuesta
de innovación. Seguidamente, se procedió a la validación de la propuesta mediante expertos en
docencia universitaria, con el objetivo de obtener perspectivas especializadas que aseguren su
viabilidad, calidad, así como identificar posibles mejoras, asimismo se evaluó la funcionabilidad de los
recursos, materiales y herramientas planteados en la innovación, con la participación de los
estudiantes del curso. Finalmente, se presentan conclusiones, reflexiones finales y recomendaciones
sobre la innovación diseñada y su impacto en la mejora de la práctica docente universitaria.
The incorporation of artificial intelligence in higher education represents a key opportunity to transform formative assessment, making it more dynamic and focused on competency development. Within this framework, the present innovation project in university teaching aims to analyze and address the issue of content-based assessment in the "Strategic Planning" course. To meet this challenge, an innovative methodological proposal was designed, integrating collaborative learning and artificial intelligence, thus enabling the development of a formative assessment approach that enhances students' learning and competencies. This approach fosters a more authentic and meaningful evaluation, aligned with the current educational context and labor market demands. To achieve this, first, a comprehensive review of the literature and background related to innovation was conducted, along with a study of the course context. Second, the innovation proposal was developed. Subsequently, the proposal was validated by experts in university teaching to obtain specialized insights that ensure its feasibility and quality, as well as to identify potential improvements. Additionally, the functionality of the proposed resources, materials, and tools was evaluated with the participation of the course students. Finally, conclusions, final reflections, and recommendations regarding the designed innovation and its impact on improving university teaching practices are presented.
The incorporation of artificial intelligence in higher education represents a key opportunity to transform formative assessment, making it more dynamic and focused on competency development. Within this framework, the present innovation project in university teaching aims to analyze and address the issue of content-based assessment in the "Strategic Planning" course. To meet this challenge, an innovative methodological proposal was designed, integrating collaborative learning and artificial intelligence, thus enabling the development of a formative assessment approach that enhances students' learning and competencies. This approach fosters a more authentic and meaningful evaluation, aligned with the current educational context and labor market demands. To achieve this, first, a comprehensive review of the literature and background related to innovation was conducted, along with a study of the course context. Second, the innovation proposal was developed. Subsequently, the proposal was validated by experts in university teaching to obtain specialized insights that ensure its feasibility and quality, as well as to identify potential improvements. Additionally, the functionality of the proposed resources, materials, and tools was evaluated with the participation of the course students. Finally, conclusions, final reflections, and recommendations regarding the designed innovation and its impact on improving university teaching practices are presented.
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Tecnología educativa, Inteligencia artificial--Aplicaciones educativas, Innovaciones educativas, Educación superior--Evaluación
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