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  • 2024

Bibliografía: 2024

Nº de publicaciones: 430
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Analysis of LLMs for educational question classification and generation
Said Al Faraby, Ade Romadhony, Adiwijaya (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Large language models (LLMs) like ChatGPT have shown promise in generating educational content, including questions. This study evaluates the effectiveness of LLMs in classifying and generating educational-type questions. We assessed ChatGPT's performance using a dataset of 4,959 user-generated questions labeled into ten categories, employing various prompting techniques and aggregating results with a voting method to enhance robustness. Additionally, we evaluated ChatGPT's accuracy in generating type-specific questions from 100 reading sections sourced from five online textbooks, which were manually reviewed by human evaluators. We also generated questions based on learning objectives and...

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Beginning and first-year language teachers’ readiness for the generative AI age
Benjamin Luke Moorhouse (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The public release of ChatGPT in November 2022 ignited an intense debate about the effects generative AI (GAI) tools will have on language teaching. The advanced capability of GAI tools and their rapid uptake by students has brought both challenges and opportunities to language teachers. This qualitative study, using in-depth individual and group interviews with ten beginning teachers and seventeen first-year English language teachers, explored their readiness for using GAI tools in their professional work and their perceptions of GAI in language teaching. The study found that first-year teachers were generally ready for the use of GAI tools and could recognize its potential to support...

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Teachers' and students' perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education
Soohwan Lee, Ki-Sang Song (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The educational application of Generative AI (GAI) has garnered significant interest, sparking discussions about the pedagogical value of GAI-generated content. This study investigates the perceived effectiveness of concept explanations produced by GAI compared to those created by human teachers, focusing on programming concepts of sequence, selection, and iteration. The research also explores teachers' and students' ability to discern the source of these explanations. Participants included 11 teachers and 70 sixth-grade students who were presented with concept explanations created or generated by teachers and ChatGPT. They were asked to evaluate the helpfulness of the explanations and...

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Strengthening students’ research efficacy in higher institutions. A joint mediating effect of the impact of Artificial intelligence using Partial Least Squares Structural Equation Modelling (PLS-SEM)
Usani Joseph Ofem, Ene I. Ene, Eunice Ngozi Ajuluchukwu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Research efficacy is a vital contributor to enhancing research productivity within higher education institutions. Despite its importance, there has been limited focus on understanding this construct and its enablers. This study addresses this gap by exploring research efficacy through the lens of artificial intelligence (AI) utilization among students. The findings reveal that AI utilization has a significant positive impact on various dimensions of research efficacy, including background, review, methodological, analytical, and reporting efficacy. Additionally, review efficacy is shown to significantly influence background, methodological, and reporting efficacy, while it does not impact...

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Integrating the adapted UTAUT model with moral obligation, trust and perceived risk to predict ChatGPT adoption for assessment support: A survey with students
Chung Yee Lai, Kwok Yip Cheung, Chee Seng Chan (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

ChatGPT stands out among other AI technology tools to provide assessment support in the higher education context. This exploratory study investigates the motivators and barriers which influence the use intention of ChatGPT for assessment support among undergraduates in Hong Kong. We tested the adapted and extended UTUAT model using the structural equation modeling approach. Through self-report online questionnaire, we received usable responses from 483 undergraduates of eight Hong Kong universities.In a highly competitive Chinese context, assessment results hold immense significance in determining the value and merit of students. The findings reveal that trust acts as the strongest...

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A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education
Afef Saihi, Mohamed Ben-Daya, Moncer Hariga (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing and validating a comprehensive model to understand the multifaceted factors impacting the acceptance and use of these chatbots. The methodology integrates an extensive literature review, construction of a theoretical model, administration of a detailed questionnaire to a representative sample from the higher education sector, coupled with advanced SEM techniques for data analysis and interpretation. The SEM analysis validates...

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Evaluating the performance of ChatGPT and GPT-4o in coding classroom discourse data: A study of synchronous online mathematics instruction
Simin Xu, Xiaowei Huang, Chung Kwan Lo (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

High-quality instruction is essential to facilitating student learning, prompting many professional development (PD) programmes for teachers to focus on improving classroom dialogue. However, during PD programmes, analysing discourse data is time-consuming, delaying feedback on teachers' performance and potentially impairing the programmes' effectiveness. We therefore explored the use of ChatGPT (a fine-tuned GPT-3.5 series model) and GPT-4o to automate the coding of classroom discourse data. We equipped these AI tools with a codebook designed for mathematics discourse and academically productive talk. Our dataset consisted of over 400 authentic talk turns in Chinese from synchronous online...

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Synergizing collaborative writing and AI feedback: An investigation into enhancing L2 writing proficiency in wiki-based environments
Watcharapol Wiboolyasarin, Kanokpan Wiboolyasarin, Kanpabhat Suwanwihok (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Collaborative writing, paired with AI feedback, represents an innovative and effective pedagogical approach with the potential to revolutionize language learning practices. This study explores the influence of a three-step collaborative writing intervention, where AI feedback specially enhances the revision and editing stages of the L2 writing process for Thai-major undergraduate exchange students. Employing a quasi-experimental design, the study included 39 junior exchange students, with 18 in the experimental group and 21 in the control group. The approach employed a wiki-based collaborative writing strategy, integrating ChatGPT for written corrective feedback. The 10-week intervention...

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El Impacto del Aprendizaje Invertido en el Desempeño Lingüístico de Estudiantes Principiantes de Español como Segunda Lengua
Susana Dimas Cintas (2024)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: aula invertida/flipped learning

Resumen:

Texto completo

The present study compares the academic performance of students of Spanish as a second language between a control group following a flipped learning methodology and another group receiving more traditional instruction. It also evaluates the impact of combining the two methodologies during the same semester on the students' linguistic performance. The results of the pre- and post-tests based on grammar activities indicate that, in the between-subjects design, there are no notable differences between the inverted and non-inverted groups. The findings of the within-group analysis show that students who have combined both methodologies perform better in the non-inverted instructional model....

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A systematic review of learning task design for K-12 AI education: Trends, challenges, and opportunities
Li Li, Fengchao Yu, Enting Zhang (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

This systematic review investigates learning task design for K-12 AI education, aiming to provide an overview of the status of AI education and identify trends, challenges, and opportunities. Through an analysis of 47 empirical studies, the review presents, synthesizes, and evaluates the educational theories underpinning the learning task design, the content, the pedagogies used for teaching, as well as the measurement and outcomes of the existing literature on AI education programs in K-12 settings. The principal findings reveal a diverse landscape of learning task design for teaching AI to K-12 students. Positive outcomes underscore the effectiveness of well-crafted hands-on tasks in...

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