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EDTECH@UTRGV
February 11, 5:29 PM
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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
April 29, 12:59 PM
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Listening to faculty concerns about generative AI can help institutions respond with more clarity, precision, and trust.
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EDTECH@UTRGV
April 29, 12:54 PM
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The old learning curve is being broken by machines—and apprenticeship could be a central strategy to deliberately rebuild it. That’s what National Apprenticeship Week should be about.
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EDTECH@UTRGV
April 29, 12:52 PM
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How can AI improve student thinking? Explore powerful, classroom-tested strategies that turn AI into a debate partner, tutor, and catalyst for deeper learning.
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EDTECH@UTRGV
April 29, 12:47 PM
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"One of the bigger challenges for product and design teams right now is a type of UX debt nobody is tracking — patterns that still function but no longer justify their existence. We’ve spent years perfecting dashboards, data entry forms, search flows, filter sidebars, setup wizards, notification feeds, FAQ pages, onboarding tours. All built on the same assumption: the human is the one doing the work. Every one of those screens exists because a designer answered the same question: “What does the user need to do here?” And right now, AI is replacing the reason each one exists."
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EDTECH@UTRGV
April 28, 12:01 PM
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If we design AI systems that shortcut the learning process, we risk undermining the very purpose and value of education.
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EDTECH@UTRGV
April 28, 11:50 AM
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"A recent poll shows AI’s increasing role in how students decide on college majors, creating a rapidly developing situation for universities that are still struggling to determine how the technology will shape higher education."
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EDTECH@UTRGV
April 28, 11:41 AM
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Something is happening in education right now that should make every serious person uncomfortable.
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EDTECH@UTRGV
April 27, 12:15 PM
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"[T]he AI trends reshaping eLearning by 2030 aren't coming from EdTech start-ups. They're coming from the raw compute infrastructure being built right now, the same forces powering ChatGPT, scientific research, and software engineering. Those forces are heading straight for your LMS. Let's break down exactly what's coming, and what you need to do about it."
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EDTECH@UTRGV
April 27, 12:12 PM
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"Most organizations say they are trying to prepare for AI. In practice, many are doing something narrower. They are giving people access to tools, offering introductory sessions, and encouraging experimentation. That may create activity. It does not necessarily create capability. This is the distinction that matters. AI is not just introducing new tools into the workplace. It is exposing whether organizations understand how capability is actually built, supported, and applied under real conditions."
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EDTECH@UTRGV
April 27, 12:09 PM
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Educator and author Carl Hooker says AI interest from educators has passed peak levels.
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EDTECH@UTRGV
April 27, 12:06 PM
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"Three of the world’s largest tech companies have published guidelines for responsible Human-AI Interaction. Here’s what they got right, and where the gaps are."
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EDTECH@UTRGV
April 27, 12:03 PM
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AI literacy is increasingly seen as fundamental knowledge for students. How can educators set the parameters that ensure proficient use of artificial intelligence across the institution, regardless of discipline? Junghwan Kim offers advice
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EDTECH@UTRGV
April 29, 1:01 PM
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"Driven by a bottom-up partnership between the Faculty Center for Teaching and Learning and the Division of Digital Learning, the University of Central Florida established an evolving campus infrastructure of policies, training, and a national conference to guide the ethical and effective integration of generative artificial intelligence into teaching and learning."
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EDTECH@UTRGV
April 29, 12:57 PM
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"Generative artificial intelligence is pushing teaching and learning away from a model centered on producing answers and academic artifacts and toward one that places greater weight on process, judgment, reflection, and applied thinking. In conversations with campus leaders, three priorities emerged."
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EDTECH@UTRGV
April 29, 12:53 PM
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Researchers found adjusting AI systems to be more warm and friendly to users would result in an "accuracy trade-off".
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EDTECH@UTRGV
April 29, 12:50 PM
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"AI tools are no longer a relatively simple search engine that is driven by marketing metrics to help us conduct our research. Rather, with AI we are using more sophisticated tools that conduct research and seek answers to our prompting while making source-selection decisions, contextual settings and semantic subtleties that impact the values expressed in the results."
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EDTECH@UTRGV
April 28, 12:04 PM
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Insights about AI in the classroom from three education conferences I attended in California.
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EDTECH@UTRGV
April 28, 11:59 AM
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When used in the right way AI seems to help test scores and save teacher and staff time, say Syracuse University's Jeff Rubin and Andrew Joncas
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EDTECH@UTRGV
April 28, 11:44 AM
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"A few months ago I spent an evening with Claude debugging a production cron job. We worked through the timing window, the fix landed, the deployment held overnight. Last week the same class of issue came back. I knew Claude had explained the edge case clearly. I could not find the conversation. I remembered it used a cron job. The native search did not match “cron job” because the words were not in the conversation title, and Claude.ai’s sidebar search only matches titles. The conversation is in there. I have no way to reach it."
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EDTECH@UTRGV
April 27, 12:19 PM
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How do you know if your students are thinking critically in the classroom? Here are examples that might be good indicators.
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EDTECH@UTRGV
April 27, 12:13 PM
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Explore Bloom's revised taxonomy and learn how it classifies learning goals for modern educational practices.
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EDTECH@UTRGV
April 27, 12:10 PM
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"Generative AI has moved from novelty to a core tool in a remarkably short period of time. Doctoral students now routinely use AI tools to locate sources, summarize literature, generate outlines, and even draft sections of academic writing."
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EDTECH@UTRGV
April 27, 12:08 PM
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"Across higher education, artificial intelligence is too often being governed as though it were primarily an academic integrity issue. It is clearly not just that. AI is already reshaping how universities teach, advise, recruit, admit, communicate, assess risk, and make decisions. Yet many institutions continue to approach it through fragmented policies, uneven faculty guidance, and conversations narrowly focused on misuse in student work."
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EDTECH@UTRGV
April 27, 12:05 PM
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"In the last piece, I talked about how signals help us understand what users are trying to accomplish, grounded in their Jobs to Be Done (JTBD). Even as generative capabilities expand, users still have real outcomes they’re working toward. Getting the signals right lets systems not only figure out what to generate, but when to adjust or pull back. That thinking assumes something, though. It assumes we’re working with familiar patterns: structured interfaces, clear entry points, predictable flows. As AI gets more embedded in the experience, that assumption starts to break down."
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EDTECH@UTRGV
April 27, 12:01 PM
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Why do students struggle with multiple-choice exams? Discover simple, research-backed test-taking strategies that improve performance and make the hidden curriculum of testing visible.
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Award-winning "Teaching and Learning in the Age of Generative AI" offers research-based, practical guidance for educators seeking to thoughtfully integrate generative AI into their courses—request an inspection copy: https://www.routledge.com/textbooks/evaluation/9781032688602.