Remove Academic Integrity Remove Ethics Remove Learning Outcomes
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Is generative AI a beacon for more accessible education?

eSchool News

Of the respondents who reported they have not used AI in the classroom, 65 percent cite a lack of familiarity as the primary obstacle to the future utilization of generative AI, with 48 percent also expressing ethical concerns. “Learning is above all a human endeavor. “Generative AI is a blend of promise and prudence.

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To Understand ChatGPT’s Impact on Higher Education, Think Like a Scientist

Edsurge

Much of the discourse about generative AI in higher ed has focused on issues of academic integrity. Our researchers aim to ascertain what students and faculty know about the technology, how often they use it and for what purposes, and how they view its usefulness or appropriateness in various academic contexts.

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Fostering metacognition and AI integration for ELLs

eSchool News

This article explores the role of metacognition in enhancing learning outcomes for ELLs and demonstrates how artificial intelligence (AI) tools can support metacognitive growth. Addressing educator concerns While AI tools enhance learning, educators often worry about overreliance and ethical concerns (Selwyn, 2019).

Essay 166
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Assume the Best: Trust-Based Strategies for Empowering College Students

Faculty Focus

Scaffolded assignments: Break significant projects into smaller, more manageable parts, such as proposals, annotated bibliographies, and rough drafts, to reduce student anxiety and provide opportunities for meaningful feedback at each step, improving learning outcomes (Ambrose, 2010).

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Assume the Best: Trust-Based Strategies for Empowering College Students

Faculty Focus

Scaffolded assignments: Break significant projects into smaller, more manageable parts, such as proposals, annotated bibliographies, and rough drafts, to reduce student anxiety and provide opportunities for meaningful feedback at each step, improving learning outcomes (Ambrose, 2010).