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3 articles

Artificial Intelligence and Case-Based Learning in Social Work Education: Pedagogical Considerations and Future Directions

Mark Taylor

Journal of Education and Learning Environments · 129–141 · 10.55121/jele.v2i1.1050

As artificial intelligence (AI) becomes more prevalent in higher education, it raises important pedagogical, ethical, and disciplinary questions. This theoretical paper develops a comprehensive theoretical foundation for considering the use of AI-generated case studies in social work education and examines the implications for t

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Using Classroom Surveys to Align Grading Practices and Self-Directed Learning in the Age of AI

Erik N. Powell

Journal of Education and Learning Environments · 45-55 · 10.55121/jele.v2i2.101339

The rapid saturation of research on Artificial Intelligence (AI) in the classroom reflects concerns with the even more rapidly developing AI in many aspects of society. Framing the parameters of AI literacy can serve as an important context within which educators can guide students toward critical engagement with AI tools in ord

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The Role of AIGC in Shaping Postgraduate Prompt Engineering Education for Agriculture-Related Universities

Shi Yin, Nan Yang, Ningning Jia

Journal of Education and Learning Environments · 115–128 · 10.55121/jele.v2i1.1142

With the deep penetration of Artificial Intelligence Generated Content (AIGC) in agricultural digital transformation and academic research, prompt engineering has become a core capability bridging professional knowledge and AI tools. Adopting methods including literature review, data investigation, and case analysis, this study

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