Category: Artificial Intelligence

Assessment is essential for validating skills, guiding pedagogy, and supporting student self-evaluation, but it’s challenging, subjective, and complex. AI offers promising advancements for more accurate, real-time assessments, though concerns about fairness, privacy, and the need for human oversight remain.

https://teachonline.ca/tools-trends/no-more-tests-working-against-and-around-ai…

Generative AI’s rapid adoption in classrooms has sparked resistance due to concerns about academic integrity and skill development, with some schools banning it. However, experts suggest that instead of restricting AI, educators should integrate it thoughtfully, treating it like Google …

The interactional skill of large language models enables them to carry out qualitative research interviews at speed and scale. Demonstrating the ability of these new techniques in a range of qualitative enquiries, Friedrich Geiecke and Xavier Jaravel, present a new …

Can NotebookLM generate accurate and interesting podcasts?

ELC 085: Generating AI Podcasts for Learning

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AI is transforming lesson planning, enabling educators to create efficient, personalized learning experiences with tools that address real-world teaching challenges. From content creation to fostering student engagement, AI enhances education by freeing teachers from routine tasks and allowing a focus …

With the new Google Prompting Essentials course, learners will discover how to effectively prompt in five easy steps and make AI work for them — no experience required.

https://blog.google/outreach-initiatives/grow-with-google/learn-how-to-write-ai-prompts-in-5-easy-steps-with-this-new-course-from-google/…

The debate over open education and generative AI continues, with David Wiley’s recent perspective sparking thoughtful responses. While Wiley argues that generative AI may better achieve open education goals than OER, critics emphasize the risks of AI, its ethical concerns, …

An experiment tested six generative large language models against students in an online introductory biomedical and health informatics course. The models scored higher than as many as three quarters of the real-world students in the class.

https://www.sciencedaily.com/releases/2024/09/240916153435.htm…

Real-world demonstration in chatbot responses could encourage other firms to label material produced by AI.

https://www.nature.com/articles/d41586-024-03462-7…

A new study by learning analytics researchers presents key considerations for generative AI (GenAI) educational tools so they are carefully developed to support, rather than replace, human learning.

https://www.sciencedaily.com/releases/2024/10/241023131609.htm…

“Higher Education for Good” (Czerniewicz and Cronin, 2023) is more than a book—it’s a public dialogue and collective vision for reimagining universities, offering hope for better alternatives. Readers are encouraged to engage in this vital conversation within academic and social …

About two-thirds of teachers report regularly using tools for detecting AI-generated content. At that scale, even tiny error rates can add up quickly.

https://www.bloomberg.com/news/features/2024-10-18/do-ai-detectors-work-students-face-false-cheating-accusations…

Miguel Guhlin focuses on a pretty specific need with this post: knowing what types of files different AI chatbots will accept (there’s a handy grid) and offering advice on how to convert what you have to a format your favorite …

Generative AI is revolutionizing education by offering personalized tutoring and study guides, but students and educators emphasize the importance of learning how to use AI effectively to enhance learning outcomes.

https://news.microsoft.com/source/features/work-life/smart-ways-students-are-using-ai…