Bibliografía: Xiaojing Weng
Nº de publicaciones: 4Detalles Cerrar โ
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Personality traits and educational technology may affect how well students utilise their abilities and strategies to achieve their learning objectives and potential. As generative artificial intelligence (GenAI) is creating new learning experiences, understanding the impact of five representative personality traits on students' self-regulated learning (SRL) while learning with GenAI tools can help to predict which personality traits indicate better self-regulation when learning with this innovative educational technology. Such a prediction can help educators to design effective learning activities by providing educational experiences that cater to students' different personality traits for...
Detalles Cerrar โ
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
The rapid development of generative artificial intelligence (GenAI) technologies has revolutionized higher education, enhancing personalized learning and teaching practices. This study conducts a systematic review and meta-analysis to investigate the effects of GenAI on university students' motivation and engagement (cognitive, behavioural, emotional, and agency). By synthesizing experimental studies and applying association rule mining, the study (i) identifies significant positive impacts of GenAI on students' motivation and engagement across diverse educational settings. (ii) key moderating variables, such as subject category, learning strategy, and context of GenAI usage, are shown to...
Detalles Cerrar โ
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
This study examines how large language models (LLMs) aid English as a Second Language (ESL) learners in acquiring grammar. Two artificial intelligence (AI) agents were designed: one as a conventional English teacher and another utilizing the 5E framework (engage, explore, explain, elaborate, evaluate) for inquiry-based learning (IBL). Thirty-seven ESL students were randomly divided into two groups: 17 in the AI-facilitated conventional English teacher group and 20 in the AI-facilitated 5E English teacher group. Pre- and post-tests, along with interviews, were used to investigate students’ intrinsic motivation, cognitive changes, and performance transformation with the designed AI agents....
Detalles Cerrar โ
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
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Research on Artificial Intelligence (AI) in language education becomes more popular. This revolutionary technology is regarded as a promising tool to assist language learning environments by empowering automatic feedback, intelligent tutoring, and personalization. While designing Intelligent Computer Assisted Language Learning (ICALL) environments, educators have followed the First Principles of Instruction (FPI), including problem-centered, activation, demonstration, application,...
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