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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
Today, 9:59 AM
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AI marking has been around a long time. But it’s not the tech causing outcry – it’s what happens now that it’s readily available.
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EDTECH@UTRGV
Today, 9:56 AM
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With AI now making it more difficult for employers to gage a potential employee’s skills, institutions must design curricula around proof of readiness.
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EDTECH@UTRGV
Today, 9:50 AM
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"AI was supposed to make work easier, but for the people who use it most, it just became a different kind of work, and a whole lot of exhaustion."
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EDTECH@UTRGV
November 11, 1:28 PM
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"Microsoft has announced Classroom and changes to Microsoft 365 Education, including Office 365 A1 retirement, new student licenses and storage changes at eligible renewals from 2028."
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EDTECH@UTRGV
November 11, 1:21 PM
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Hanover Research surveyed nearly 300 parents and teachers to determine how schools are using artificial intelligence and where they can improve.
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EDTECH@UTRGV
November 10, 9:47 AM
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Instead of banning AI and schools prescribing how students must learn, let's empower students to decide when technology helps, when it doesn't, and how they learn best. We're Asking the Wrong Questions About AI As schools respond to AI, I'm seeing a familiar pattern.
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EDTECH@UTRGV
November 10, 9:39 AM
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Inside Higher Ed breaks down some of the latest developments regarding AI and ed tech on campus. While many universities have announced more artificial intelligence–focused initiatives this fall, one is creating a space designed to help college students develop their own ideas and express them in an authentic voice with—and without—the use of the technology.
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EDTECH@UTRGV
November 10, 9:32 AM
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"I was a skeptic. Let the record show, I too, was against it. When Ted Chiang wrote in The New Yorker that AI isn’t going to make art, I felt vindicated. I forwarded it. To people who had not asked (as I often do). His point was that art is the sum of thousands of small choices, and a machine that makes most of them for you has removed the art. I summarized this at dinners as “it’s a vending machine with ambitions,” which got a laugh and some confused looks."
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EDTECH@UTRGV
November 9, 12:43 PM
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In the AI learning era, course design must go beyond teaching students where to click or assuming that a polished product equals competence.
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EDTECH@UTRGV
November 9, 12:29 PM
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Discover practical strategies for redesigning assignments in the AI era, strengthening student learning, promoting academic integrity, and keeping teaching human-centered.
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EDTECH@UTRGV
November 9, 12:25 PM
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Grainger Engineering faculty are helping define the future of engineering education, setting new standards for AI fluency and responsibility through curricular innovation, human-centered teaching, and a commitment to ensuring AI strengthens learning without compromising rigor.
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EDTECH@UTRGV
November 9, 12:22 PM
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Agentic AI can make marking more efficient – but what are we losing in the process? Find out why human judgement is still key
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EDTECH@UTRGV
Today, 10:01 AM
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"A new study has revealed the differences between students and lecturers when it comes to AI use, implying that academics think students are using generative AI too much, whereas students think they’re not using it that much."
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EDTECH@UTRGV
Today, 9:58 AM
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AI can help children learn, but teaching kindergarten is about reading a room full of small humans, minute by minute.
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EDTECH@UTRGV
Today, 9:53 AM
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When generative AI exposed the flaws in my traditional assignments, I redesigned student learning experiences — turning AI from a cheating tool to a “cognitive sparring partner.”
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EDTECH@UTRGV
November 11, 1:30 PM
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As a campus leader, you probably know students are using your school's AI agents to find support at all hours. But you may be looking for more insight on the problems that today's students are turning to chatbots to solve.
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EDTECH@UTRGV
November 11, 1:23 PM
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Unlock the secrets to AI strategy trust by fostering a culture of understanding and collaboration among your workforce.
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EDTECH@UTRGV
November 11, 1:20 PM
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Unis must ensure degrees demonstrate students’ learning, rather than how well they’ve used artificial intelligence. But it’s an ongoing challenge.
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EDTECH@UTRGV
November 10, 9:41 AM
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AI tools may be evolving quickly, but we have a deep research base we can draw on to determine how they help meet—or undermine—any particular learning goal. Kathryn Palmer’s recent Inside Higher Ed article “The ‘Nonexistent’ Research on AI’s Benefits for Education” raises an important concern. Colleges and universities are investing heavily in generative artificial intelligence even though evidence about when, how or whether these tools improve student learning remains limited. Some studies even suggest that unguided use could undermine learning.
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EDTECH@UTRGV
November 10, 9:34 AM
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In a U.S. survey, 39 percent of students say peers' AI use motivates their own.
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November 9, 12:45 PM
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The team will study whether AI can measure a key teaching skill and provide useful feedback faster than humans.
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November 9, 12:40 PM
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Can students show where a research theme came from, explain what AI changed, and defend what remains uncertain?
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EDTECH@UTRGV
November 9, 12:28 PM
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This research examines the key factors associated with users’ intentions to adopt AI avatars within online learning environments. By combining the Technology Acceptance Model (TAM) and the Diffusion of Innovations (DOI) theory, a comprehensive model was proposed to assess the relationships between four primary design elements—perceived personalization, feedback quality, transparency, and interactivity—on five key constructs: observability, relative advantage, perceived usefulness, perceived ease of use, and trust, as well as users’ attitudes and willingness to adopt."
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EDTECH@UTRGV
November 9, 12:24 PM
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In-person experiential opportunities and high-quality virtual platforms help prepare remote students for careers after graduation.
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EDTECH@UTRGV
November 5, 12:33 PM
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Google is disabling Search in schools that choose not to use its AI features. The company says it will turn Gemini, Gemini Notebook, Gemini in Classroom, and Google Search “entirely off” unless administrators turn them on.
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"Artificial intelligence has two sets of abilities: Natural Language Understanding (NLU) and Natural Language Generation (NLG).
NLU enables AI to understand human language, while NLG empowers AI to generate meaningful and coherent responses. These two sets of abilities work in tandem to enhance AI’s communication with users."