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Looking for a Textbook on Generative AI in Education?
Teaching and Learning in the Age of Generative AI: Evidence-Based Approaches to Pedagogy, Ethics, and Beyond Edited by Joseph Rene Corbeil & Maria Elena Corbeil (2025) 🏆 Winner of the 2025 Systems Thinking & Change Division Outstanding Book Award from the Association for Educational Communications and Technology! If you are designing a course that addresses generative AI in education, this award-winning volume provides a research-driven, classroom-ready foundation. Rather than offering hype or fear, this book helps educators:
- Ground AI integration in learning theory and research
- Address academic integrity with thoughtful, practical strategies
- Redesign assessment for an AI-enabled world
- Explore ethics, bias, privacy, and institutional responsibility
- Leverage AI to enhance critical thinking and digital literacy
Bookended by historical and forward-looking analyses of AI in education, the chapters move beyond surface-level discussions to provide evidence-based approaches for real classrooms—K–12, higher education, and professional learning environments.
This text is ideal for:
- Undergraduate and graduate teacher education programs
- Curriculum & Instruction courses
- Educational Technology programs
- Higher education faculty development
- School technology coordinators and talent development professionals
Adopting a GenAI textbook for an upcoming semester? We invite you to request an inspection copy and explore how this resource can support your students in navigating AI with skill, ethics, and informed judgment.
Request your inspection copy today.
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EDTECH@UTRGV
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EDTECH@UTRGV
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Some tech leaders have a vision for a world where you spend a lot less time looking at your phone. Is it the solution to screen time, or just a new dystopia?
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EDTECH@UTRGV
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"Every few weeks, another business leader recites the doomsday line: AI will replace all workers. Their confidence is proportional to the capex. A company that just committed tens of billions to data centers has strong incentives to sound sure, and the memo goes out accordingly. They boast about leaner teams and a future where most of the work runs itself. However, the reality looks different."
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EDTECH@UTRGV
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EDTECH@UTRGV
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Researchers say a lack of reliable information on artificial intelligence use on campus could lead to misguided policies.
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Even when students use AI entirely within institutional rules, they still most likely bypass the struggle through which learning often occurs
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What will differentiate people is not how smart they are but their relationship to mental effort.
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EDTECH@UTRGV
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EDTECH@UTRGV
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A bilingual educator examines how alignment with AI emerges not from better prompting but from deliberate boundary-setting and sustained correction over time—building on the practitioner lens first developed in Holding the Line.
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EDTECH@UTRGV
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The pace of development and proliferation of artificial intelligence tools — generative, agentic, physical — can be hard to follow, but IT leaders must do their best to stay apprised of potential innovations and risks.
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EDTECH@UTRGV
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Drawing on experience across higher education in the UK and Malaysia, two academics argue that the real AI divide in universities is not about access to tools but about institutional readiness — and why it is an urgent equity issue policymakers can no longer afford to ignore.
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EDTECH@UTRGV
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AI moves into law, mathematics, and the arts as the public turns on the data centers, and Washington moves to claim its share.
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