AI

For some students, the technology can effectively replace collaborative learning with classmates and office hours with professors.

Learn 5 practical steps to update college assignments for the AI age—boosting critical thinking, authentic learning, and academic integrity.

Mike Perkins and Jasper Roe share a practical framework for ethical AI integration in assessment on episode 569 of the Teaching in Higher Ed podcast

It’s been over 12 months since the first blog post about the AI Assessment Scale, and a lot has changed, both with the technology and with our understandings of how it impacts assessments in K-12 and higher education across a range of disciplines. The AIAS has been adopted by schools and universities worldwide, and will […]

AI systems are no longer just specialized research tools: they’re everyday academic companions. As AIs integrate more deeply into educational environments, we need to consider important questions about learning, assessment, and skill development. Until now, most discussions have relied on surveys and controlled experiments rather than direct evidence of how students naturally integrate AI into their academic work in real settings.

In case you missed it, Carnegie Learning published a great little report, "The State of AI in Education 2025" which is essentially key findings from a national survey they conducted on hundreds of educators. Not too surprisingly, the #1 potential benefit of students using AI was the newest answer choice added to this year’s survey:…

Library and outside resources to enrich your understanding of AI and its place in the classroom and beyond.

The AI Pedagogy Project is a curated collection of resources for educators curious about how AI affects their students and their syllabi

So let’s get one thing out of the way: I think “AI literacy” is a dangerous device of neoliberal education and it deserves to be dismissed out of hand.

This free student guide to artificial intelligence is available for students and institutions to download, distribute, and adapt.

Everything is about to change.

College Unbound - AI Generative Tools Policy Development Plan Updated 1/9/2022 The development of policy around the use of artificial intelligence generative tools in education at College Unbound will include several different actions. They are laid out here in a rough-timeline. For more info...

Background The public release of ChatGPT in November 2022 sparked a boom and public interest in generative artificial intelligence (AI) that has led to journals and journal families hastily releasin...

Rapid developments in artificial intelligence (AI) require dynamic adaptation in education to integrate new technologies timely and sustainably. In particular, the rise of generative AI requires leadership to implement it in a meaningful way for teaching and learning. School leaders have a special role to play in driving digital transformation. Based on a sample of German school leaders, this article explores how school leadership approaches and a digital mindset influence the implementation of AI in schools. Our findings provide initial and preliminary evidence that school leaders’ digital mindsets, particularly proactive agility and empathy, understood as perspective taking, influence the implementation of AI in schools. Furthermore, the findings highlight the effectiveness of ambidextrous leadership in driving AI implementation. As a consequence, our study paves the way for future explorations of the evolving landscape of AI in education and highlights the need for adaptive, empathetic, and proactive leadership in the digital age.

With the tremendous successes of Large Language Models (LLMs) like ChatGPT for text generation and Dall-E for high-quality image generation, generativ…

Recent advancements in vision-enabled large language models have prompted a renewed interest in evaluating their capabilities and limitations when interpreting complex visual data. The current research employs ImageNet-A, a dataset specifically designed with adversarially selected images that ...

The academic questions posed by the introduction of Generative AI (GenAI) into design higher education are many and reflect educators’uneasiness about its ethical use. Like any new radical technolo...

1

The emergence of generative artificial intelligence (GenAI) requires innovative educational environments to leverage this technology effectively to address concerns like academic integrity, plagiarism, and others. Additionally, higher education needs effective pedagogies to achieve intended learning outcomes. This emphasizes the need to redesign active learning experiences in the GenAI era. Authentic assessment and experiential learning are two possible meaningful alternatives in this context. Accordingly, this article investigates how GenAI can enhance teaching and learning by constructively addressing study situations beyond conventional learning approaches and cultivating high-order skills and knowledge acquisition. This study employs thing ethnography to examine GenAI tools’ integration with authentic assessment and experiential learning and explore implementation alternatives. The results reveal insights into creating human-centered and GenAI-enhanced learning experiences within a constructive alignment. Specific examples are also provided to guide their implementation. Our contributions extend beyond the traditional use of GenAI tools as mere agents-to-write or agents-to-answer questions to become agents-to-support experiential learning for authentic assessment. These findings underscore the transformative role of GenAI tools in enhancing teaching and learning efficacy and effectiveness. The limitations in treating GenAI tools as subjects in thing ethnography are acknowledged, with potential for future implementation evaluation.

This qualitative study explores the levels of technology acceptance of students and teachers in higher education regarding the use of artificial intelligence (AI) in summative assessment. Twelve st...