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  • educación superior

Bibliografía: educación superior

Nº de publicaciones: 655
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Enhancing knowledge integration from multiple experts to guiding personalized learning paths for testing and diagnostic systems
Dechawut Wanichsan, Patcharin Panjaburee, Sasithorn Chookaew (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The testing and diagnostic systems have been considered to be useful for students because they can point to their learning problems to provide helpful suggestions for improving the knowledge. The previous approach shows that using the knowledge from multiple experts can develop a testing and diagnostic system that provides more accurate suggestions for learners comparing to the system using a single expert. Nevertheless, the low-quality knowledge integration method of the multi-expert approach can provide some inaccurate learning suggestions. This work proposes a practical method for enhancing knowledge integration from multiple experts to provide more effective learning suggestions. An...

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What do university students know about Artificial Intelligence? Development and validation of an AI literacy test
Marie Hornberger, Arne Bewersdorff, Claudia Nerdel (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) strongly influences our daily lives and work environments. To deal with the challenges as well as to pick up on the opportunities associated with AI, university students need to acquire a basic understanding of AI (so-called AI literacy). To design effective study programs that foster AI competencies, it is necessary to assess the state of students' AI literacy. While there already are some AI literacy tests available, many instruments focus on specific AI courses, rely primarily on self-assessment, or do not provide detailed psychometric information. This study aims to develop and validate an AI literacy test and to provide initial insights into the current...

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Fairness perceptions of AI in grading systems: Examining how discontent with the status quo and outcome favorability reduce AI reluctance
S. Mo Jones-Jang, Myojung Chung, Jihyang Choi (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigates students' aversion to AI grading systems compared to human professors, focusing on how dissatisfaction with the current evaluation system and grade outcomes affect fairness perceptions. Drawing from 228 college students in South Korea, the experiment tested three hypotheses: (1) students show AI reluctance, (2) dissatisfaction with the current system mitigates the AI reluctance, and (3) this mitigation is contingent on whether students receive high or low grades. Results confirm a general aversion to AI graders. Yet, students who are dissatisfied with the status quo system displayed increased preference for AI graders, especially when receiving low grades. In...

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AI for education: The digital transformation of a liberal arts institution – implementation at Lingnan University
S. Joe Qin (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The global landscape of higher education is undergoing a profound transformation driven by Generative Artificial Intelligence (GenAI) and pervasive digital technologies, particularly posing fundamental challenges to the traditional liberal arts education model grounded in holistic human development, broad intellectual inquiry, and student engagement. This position paper examines Lingnan University (Lingnan), Hong Kong’s longest-established institution of higher education, as a critical case of how a liberal arts university can strategically transform itself in the digital era without relinquishing its humanistic foundations. It analyzes Lingnan’s institutional transformation towards a “...

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AICLE+CTIM: una intervención didáctica con un grupo bilingüe de futuros maestros
Juan Peña Martínez, Alberto Muñoz Muñoz (2019)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: propuesta didáctica

Temas: AICLE/CLIL

Resumen:

Texto completo

En el presente trabajo se describe un proyecto de innovación educativa cuyo objetivo era replantear las prácticas experimentales de Física del grupo bilingüe de la Facultad de Educación para que los estudiantes apliquen el enfoque Ciencia-Tecnología-Ingeniería-Matemáticas (CTIM) y Aprendizaje Integrado de Ciencias en Lengua Extranjera (AICLE) simultáneamente. Asimismo, se ha recabado su valoración para futuros trabajos pasado un tiempo desde la intervención didáctica y terminado su período obligatorio de tres semanas de prácticas en un centro escolar de la Comunidad de Madrid.

This study focuses on an innovation project where physics experimental activities - addresed to the...

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Harnessing the power of AI-instructor collaborative grading approach: Topic-based effective grading for semi open-ended multipart questions
Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Semi open-ended multipart questions consist of multiple sub questions within a single question, requiring students to provide certain factual information while allowing them to express their opinion within a defined context. Human grading of such questions can be tedious, constrained by the marking scheme and susceptible to the subjective judgement of instructors. The emergence of large language models (LLMs) such as ChatGPT has significantly advanced the prospect of automatic grading in educational settings. This paper introduces a topic-based grading approach that harnesses LLM capabilities alongside a refined marking scheme to ensure fair and explainable assessment processes. The...

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Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports
Matthew H.C. Mak, Lukasz Walasek (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As generative artificial intelligence (GenAI) becomes widespread in education, its influence on students' academic practice raises concern. We conducted pre-registered analyses of 4820 empirical reports authored by 2000 psychology undergraduates (2016–2025) to examine how ChatGPT's launch in November 2022 may influence the style, sentiment, and quality of students' writing. Following ChatGPT's release, prevalence of ChatGPT-associated lexical markers (e.g., delve, intricate) surged until 2024, then declined in 2025, possibly due to some students actively masking GenAI traces. Writing style (indexed by lexical diversity/density/sophistication, nominalisation, readability) became increasingly...

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ChatGPT for interdisciplinary learning: Does it equally benefit STEM and non-STEM students
Gaoxia Zhu, Xiuyi Fan, Chenyu Hou (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

While studies on using generative AI for education are increasing, research on whether it benefits STEM and non-STEM students, who tend to have different technology acceptance and AI literacy, in the interdisciplinary learning context is rare. To respond to this gap, this exploratory quasi-experiment study engaged 130 undergraduate students in interdisciplinary learning for two weeks (some used ChatGPT and some did not). We collected participants' physical, emotional, and cognitive engagement using surveys and quantified their interdisciplinary learning quality based on their written online posts. Results showed that STEM students' physical engagement was higher in the ChatGPT condition,...

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Percepciones de los estudiantes de español lengua extranjera en las clases mixtas
Clara Burgo (2016)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: español como lengua de herencia

Resumen:

Texto completo

The current study is focused on the perceptions of university second language (L2) learners on having heritage speakers (HS) in the same Spanish language courses. Although some students confessed feelings of intimidation or fear, overall there was a positive attitude towards the benefits of mixed classrooms for L2 learners such as the improvement of their listening and cultural skills and the real immersion scenario. Considering students’ comments, there are some recommendations for implementation in mixed classrooms.

El presente estudio se enfoca en las percepciones de los aprendientes de segunda lengua (SL) universitarios sobre tener hablantes de herencia (HH) en los mismos cursos...

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Reinventing assessments with ChatGPT and other online tools: Opportunities for GenAI-empowered assessment practices
Dennis Foung, Linda Lin, Julia Chen (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The recent emergence of generative artificial intelligence (GenAI) tools, such as ChatGPT, has brought profound changes to higher education. While many studies have examined the potential use of ChatGPT in teaching and learning, few have explored the opportunities to develop assessments that facilitate the use of multiple technological innovations (i.e. traditional AI and GenAI tools). We conducted qualitative research to address this gap. The assessments of an elective English course in Hong Kong were re-designed to incorporate GenAI and other tools. Students were asked to employ and reflect on their use of these tools for their writing assessments. We analyzed the written reflections of...

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