Guidance on the Use of AI in Teaching and Learning The goal of this page is to provide reasonably thorough, but also accessible and brief, guidance to support the AI approaches and practices of ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes decisions in milliseconds. The field of computer vision and deep learning has ...

“Now, faculty and teaching staff can find everything in one location, whether they are teaching online or face to face,” she said. UAB’s Center for Teaching and Learning, or CTL, is open to all ...

Active learning puts students at the center of the learning process by encouraging them to engage, reflect, and apply what they’re learning in meaningful ways.

The chart below presents seven distinct ways of learning, connecting intended learning outcomes with their theoretical foundations and commonly used teaching methods. Use this visual guide to explore ...

Commentary To teach math effectively, California must focus on deep, conceptual learning Third graders discuss possible ways to solve a new math problem.

Integrating course design and assessment planning ensures cohesive teaching practices and enhances student learning outcomes. An integrated approach considers the interconnectedness of situational ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

More information: Ruiting Bai, Big data-driven deep mining of online teaching assessment data under affective factor conditions, International Journal of Information and Communication Technology ...