EdTech Books

Teaching and Learning
Economic research chatgpt usage paper
Testing of detection tools for AI-generated text - International Journal for Educational Integrity
Recent advances in generative pre-trained transformer large language models have emphasised the potential risks of unfair use of artificial intelligence (AI) generated content in an academic environment and intensified efforts in searching for solutions to detect such content. The paper examines the general functionality of detection tools for AI-generated text and evaluates them based on accuracy and error type analysis. Specifically, the study seeks to answer research questions about whether existing detection tools can reliably differentiate between human-written text and ChatGPT-generated text, and whether machine translation and content obfuscation techniques affect the detection of AI-generated text. The research covers 12 publicly available tools and two commercial systems (Turnitin and PlagiarismCheck) that are widely used in the academic setting. The researchers conclude that the available detection tools are neither accurate nor reliable and have a main bias towards classifying the output as human-written rather than detecting AI-generated text. Furthermore, content obfuscation techniques significantly worsen the performance of tools. The study makes several significant contributions. First, it summarises up-to-date similar scientific and non-scientific efforts in the field. Second, it presents the result of one of the most comprehensive tests conducted so far, based on a rigorous research methodology, an original document set, and a broad coverage of tools. Third, it discusses the implications and drawbacks of using detection tools for AI-generated text in academic settings.
Understanding the Structure of the UDL 3.0 Guidelines
Learn the structure of UDL 3.0—Principles, Guidelines, and Practices—and how they guide inclusive, equitable teaching.
HOW AI AND HUMAN BEHAVIORS SHAPE PSYCHOSOCIAL EFFECTS OF CHATBOT USE: A LONGITUDINAL RANDOMIZED CONTROLLED STUDY
"Results showed that while voice-based chatbots initially appeared beneficial in mitigating loneliness and dependence compared with text-based chatbots, these advantages diminished at high usage levels, especially with a neutral-voice chatbot. Conversation type also shaped outcomes: personal topics slightly increased loneliness but tended to lower emotional dependence compared with open-ended conversations, whereas non-personal topics were associated with greater dependence among heavy users. Overall, higher daily usage—across all modalities and conversation types—correlated with higher loneliness, dependence, and problematic use, and lower socialization. Exploratory analyses revealed that those with stronger emotional attachment tendencies and higher trust in the AI chatbot tended to experience greater loneliness and emotional dependence, respectively. These findings underscore the complex interplay between chatbot design choices (e.g., voice expressiveness) and user behaviors (e.g., conversation content, usage frequency). We highlight the need for further research on whether chatbots’ ability to manage emotional content without fostering dependence or replacing human relationships benefits overall well-being."
These Students Use AI a Lot — but Not to Cheat
For some students, the technology can effectively replace collaborative learning with classmates and office hours with professors.
AI in Education
Instructure Launches IgniteAI to Simplify and Seamlessly Transform AI Integration in Education | Instructure
Instructors Will Now See AI Throughout a Widely Used Course Software
New features integrated into Canvas include a grading assistant, a discussion-post summarizer, and even a way to pair assignments with generative AI tools.
Automatically Generate Working Code for Canvas API Development
Streamline your Canvas API development with Atomic Canvas API Docs MCP—an AI-powered assistant that delivers instant endpoint access, smart code generation, and guided workflows inside Claude Desktop.
5 Steps to Update Assignments to Foster Critical Thinking and Authentic Learning in an AI Age
Learn 5 practical steps to update college assignments for the AI age—boosting critical thinking, authentic learning, and academic integrity.
Studio Release Notes (2025-07-02)
Release notes outline upcoming customer-impacting changes that are expected to be displayed in production environments. Please note that features considered for future development are not included in the notes. Canvas Studio is a communication tool that allows instructors and students to actively co...
5 AI Skills to teach your students
Paul Matthews
RTF Model: Role Task Format
Iteration - change the output
Customer Lifecycle and Annual Success Strategies
Instructure
Studentguidetoai
What Neuroscience Misses About Students
Neuroscience fascinates, but behavior guides instruction. Teachers shouldn't need brain scans to know when learning is really happening.
How AI Reshapes What We Know About Motivation and Learning
AI offers a surprising lens on how we think about student motivation and why behavior may matter more than belief.
tea for teaching – a podcast on teaching and learning
Introduction | Instructure Developer Documentation Portal
Explore services, tools, and guides to build seamless integrations in the Instructure ecosystem.
A Practical Framework for Ethical AI Integration in Assessment, with Mike Perkins and Jasper Roe – Teaching in Higher Ed
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
Updating the AI Assessment Scale
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 […]
The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment | Journal of University Teaching and Learning Practice
Anthropic Education Report: How University Students Use Claude \ Anthropic
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.
Carnegie Learning Report: The State of AI in Education 2025
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:…
Discover.carnegielearning
Five Myths About Teacher Professional Learning
Reflecting on common misconceptions about educator development can help leaders create meaningful change.
PZ's Thinking Routines Toolbox | Project Zero
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
Cognitive load theory (CLT) has driven numerous empirical studies for over 30 years and is a major theme in many of the most cited articles published between 1988 and 2023. However, CLT articles have not been compared to other educational psychology research in terms of the research designs used and the extent to which recommendations for practice are justified. As Brady and colleagues found, a large percentage of the educational psychology articles reviewed were not experimental and yet frequently made specific recommendations from observational/correlational data. Therefore, in this review, CLT articles were examined with regard to the types of research methodology employed and whether recommendations for practice were justified. Across several educational psychology journals in 2020 and 2023, 16 articles were determined to directly test CLT. In contrast to other articles, which employed mostly observational methods, all but two of the CLT articles employed experimental or intervention designs. For the two CLT articles that were observational, recommendations for practice were not made. Reasons for the importance of experimental work are discussed.
Instructure Community Developers Group Meetup Agenda
Instructure Community Developers Group Meetup Meetings monthly on the second Thursday at 2:00 p.m. eastern: https://umich.zoom.us/j/93712134338?pwd=VEYwbkNXakUyTnRpQ3JLMkJMZkVzZz09 Request to join the Instructure Community Developers Google Group to get calendar invites and edit access to the...
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