The Role of Generative Artificial Intelligence in Supporting Student Learning in Postsecondary Education

A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Educational Psychology".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 733

Special Issue Editors


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Guest Editor
Department of Psychology, King’s College London, London SE1 1UL, UK
Interests: mixed-methods research; student wellbeing; curriculum; pedagogy and assessment; artificial intelligence and assessment

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Guest Editor
Department of Psychology, King’s College London, London SE1 1UL, UK
Interests: judgement and decision making; risk communication; choice architecture; inclusive education; artificial intelligence and assessment

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Guest Editor
Department of Psychology, King’s College London, London SE1 1UL, UK
Interests: close relationships; well-being; pedagogy; artificial intelligence and assessment

Special Issue Information

Dear Colleagues,

With the availability and popularity of generative artificial intelligence (GenAI), the relationship between technology and education has evolved significantly in recent years. This Special Issue explores the multifaceted ways in which GenAI can support student learning, enhance pedagogical practices and transform the educational landscape in postsecondary education.

With its capacity to analyze data, generate content and personalize learning experiences, GenAI has the potential to reshape how students engage with course materials, interact with instructors and navigate their educational journey. The topics explored in this Special Issue aim to capture the breadth of this technological impact, from theoretical perspectives to practical applications, including the following:

  • The use of GenAI in enhancing student learning experiences: How can GenAI tools facilitate personalized learning pathways, provide feedback and support student progress?
  • Pedagogical strategies integrating GenAI: How are educators leveraging or integrating GenAI to design curriculum, deliver content and evaluate student outcomes?
  • Integration of GenAI in formative and summative assessment activities: How can AI tools be integrated into formative and summative assessment activities, and how can they support personalized feedback and understand assessment criteria?
  • Ethical considerations and challenges: What ethical considerations arise with the integration of GenAI in postsecondary education, and how can they be addressed?
  • Comparative studies: How do different educational institutions and disciplines utilize GenAI to support teaching and learning? How do different types of students (for instance, neurotypical vs. neurodiverse) experience and interact with GenAI tools?

This Special Issue welcomes empirical research, qualitative, quantitative or mixed-methods analysis, systematic reviews and case studies that explore the integration of GenAI in postsecondary education.

We hope that this Special Issue will promote dialogue and innovation, and provide a platform for exploring the transformative potential of GenAI in postsecondary education.

Dr. Rebecca Upsher
Dr. Claire Heard
Dr. Sumeyra Yalcintas
Guest Editors

Manuscript Submission Information

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Keywords

  • generative artificial intelligence
  • pedagogy
  • postsecondary
  • higher education
  • curriculum design
  • student learning
  • assessment

Published Papers (1 paper)

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Research

21 pages, 2478 KiB  
Article
Training and Technology Acceptance of ChatGPT in University Students of Social Sciences: A Netcoincidental Analysis
by Elena María García-Alonso, Ana Cristina León-Mejía, Roberto Sánchez-Cabrero and Raquel Guzmán-Ordaz
Behav. Sci. 2024, 14(7), 612; https://doi.org/10.3390/bs14070612 - 18 Jul 2024
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Abstract
This study analyzes the perception and usage of ChatGPT based on the technology acceptance model (TAM). Conducting reticular analysis of coincidences (RAC) on a convenience survey among university students in the social sciences, this research delves into the perception and utilization of this [...] Read more.
This study analyzes the perception and usage of ChatGPT based on the technology acceptance model (TAM). Conducting reticular analysis of coincidences (RAC) on a convenience survey among university students in the social sciences, this research delves into the perception and utilization of this artificial intelligence tool. The analysis considers variables such as gender, academic year, prior experience with ChatGPT, and the training provided by university faculty. The networks created with the statistical tool “CARING” highlight the role of perceived utility, credibility, and prior experience in shaping attitudes and behaviors toward this emerging technology. Previous experience, familiarity with video games, and programming knowledge were related to more favorable attitudes towards ChatGPT. Students who received specific training showed lower confidence in the tool. These findings underscore the importance of implementing training strategies that raise awareness among students about both the potential strengths and weaknesses of artificial intelligence in educational contexts. Full article
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