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  • estudio experimental

Bibliografía: estudio experimental

Nº de publicaciones: 424
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Directive, metacognitive, or a blend of both? A comparison of AI-generated feedback types on student engagement, confidence, and outcomes
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Effective feedback is a central component of successful student learning, with extensive research examining how best to implement it in educational settings. Increasingly, feedback is being generated by artificial intelligence (AI), offering scalable and adaptive responses. Two widely studied approaches are directive feedback, which gives explicit explanations and reduces cognitive load to speed up learning, and metacognitive feedback which prompts learners to reflect, track their progress, and develop self-regulated learning (SRL) skills. While both approaches have clear theoretical advantages, their comparative effects on engagement, confidence, and quality of work remain underexplored....

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Is ChatGPT a good study companion? The role of AI-generated summaries and reflective prompts in learning from educational videos
AyลŸe Candan ลžimลŸek, Gerrit Anders, Jonathan Göth (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Online videos have become a central tool in modern education. Alongside this shift, Artificial Intelligence (AI) is reshaping personalized learning experiences, with generative large language models like ChatGPT offering new ways to tailor information to individual learners. Based on the Cognitive Theory of Multimedia Learning (CTML), which proposes two principles that relate to the interaction with the learning material (segmenting and generative activity), we conducted two experiments in which participants were asked to pause an educational video at times of comprehension difficulty. In Experiment 1 (N = 101), we examined whether GPT-generated summaries -introduced at self-paced pause...

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Algorithm appreciation or aversion? Comparing in-service and pre-service teachers’ acceptance of computerized expert models
Esther Kaufmann (2021)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Although computerized expert models (i.e., algorithms) could improve educational decisions and judgments, initial research has demonstrated that teachers, like other professional groups, tend to be “algorithm averse.” In the current study, we use behavioral and questionnaire data to examine the extent to which in-service and pre-service (i.e., students in training to become) teachers accept advice from expert models and investigate how teachers' acceptance of expert models could be improved. Although it is often presumed that younger generations are less algorithm averse, we demonstrate that both in-service and pre-service teachers prefer advice from a human source (school counselor) than...

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Niños bilingües español-neerlandés en Ámsterdam y en Mallorca: evidencia de la importancia del input y del contexto en la adquisición del género gramatical en español
Héctor Cruz Rico, Elisabeth Mauder, Lluis Barceló-Coblijn (2021)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
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Tipo: artículo

Metodología: estudio empírico

Temas: concordancia de género

Resumen:

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Por medio de una tarea de elicitación, esta investigación examina el género en español en dos grupos de niños bilingües español-neerlandés que comparten las mismas lenguas pero difieren en la lengua de herencia: un grupo de 10 niños hablantes de herencia de español (edad entre 8 y 10 años) y un grupo de 10 niños hablantes de herencia de neerlandés (entre 8 y 11 años). Estos dos idiomas tienen un sistema de género gramatical binario: mientras que el español diferencia masculino y femenino, el neerlandés diferencia común y neutro. Los resultados muestran que los niños hablantes de herencia de neerlandés no cometieron ningún error y que los niños hablantes de herencia de español tendieron a...

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The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

ChatGPT (generative pre-trained transformer) is one of the artificial intelligence (AI) technologies that have started to be used in programming education. However, the effect of using ChatGPT in programming education on learning processes and outcomes is not yet known. This study investigated the effect of programming education using the ChatGPT on students' computational thinking skills, programming self-efficacy, and motivation toward the lesson. The research was conducted on 45 undergraduate students who took a university-level programming course. The research was carried out according to the experimental design with the pretest-posttest control group. Students were randomly...

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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
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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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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RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning
Chenglu Li, Wanli Xing, Yukyeong Song (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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The importance and challenge of Algebra learning is widely recognized, with students across the U.S. facing difficulties due to the subject's complexity. While extensive research has focused on enhancing Algebra learning in K-12 education, the reusability, scalability, and effectiveness of the strategies employed (e.g., manual interventions and digital tutoring platforms) remain limited. Conversational AI (ConvAI), enabled by the advancement of large language models (LLMs), emerges as a potential tool for automatic, personalized, and effective student support. However, ethical concerns surrounding diversity, safety, sentiment, and stereotype associated with ConvAI are prominent, and...

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Effects of an AI-supported inquiry model on AI literacy and authentic performance: A quasi-experimental study with preservice teachers
Dongyun Cao, Yuting Yan, Anyuan Xiong (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As generative AI becomes more common in teacher education, programs need instructional models that help preservice teachers use AI purposefully, critically, and productively in authentic academic work. However, evidence on how structured AI-supported inquiry improves both AI literacy and performance remains limited. Grounded in Deweyan Inquiry and the Practical Inquiry model, this quasi-experimental study examined the effects of QUEST + AI, an AI-supported inquiry model built around five phases: Question, Understand, Engage, Solve, and Teach. Ninety-five preservice teachers in an educational research methods course participated in a 10-week study using two intact classes (experimental n =...

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Evaluating lab assistant chatbot on student learning and behaviors in a programming short course
Thanapon Noraset, Akara Supratak, Chaiyong Ragkhitwetsagul (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rise of generative AI has increased interest in its application as an intelligent lab assistant in programming education, but concerns persist over its educational value and potential exploitation. While previous work supports using a customized chatbot as an assistant that provides specific guidance rather than allowing students to prompt responses freely, empirical evidence directly comparing these approaches is still lacking. This study evaluates the impact of two chatbot designs, Unrestricted and Assistant, on student learning and behavior in a short Python programming course. Through a controlled experiment involving 42 participants, we found that students using the Assistant...

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ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs)
Harry Barton Essel, Dimitrios Vlachopoulos, Albert Benjamin Essuman (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigated the impact of using ChatGPT, a state-of-the-art generative AI-based model, on the critical, creative, and reflective thinking skills of university students in Ghana. The study utilized a mixed-methods research approach, incorporating quantitative and qualitative data collection instruments, and an experimental procedure with a pretest-posttest control group. The study ultimately enlisted a sample of 125 students randomly allocated to either the experiment group (60 students) or the control group (65 students). The research was conducted in the context of a Research Methodology course, which had adopted the flipped classroom approach. The students in the experiment...

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