Since the establishment of the first teaching and learning center in 1962, growth of similarly dedicated centers on university campuses has been exponential. Recent research suggests there are more ...

The Center for Instructional Excellence (CIE) offers a number of confidential services on teaching and learning that are designed to make effective use of your time in achieving your goals and your ...

The goal of this page is to provide reasonably thorough, but also accessible and brief, guidance to support the AI approaches and practices of instructors, as well as how they communicate their ...

Artificial intelligence presents both exciting opportunities and complex challenges for the world, profoundly affecting the ways we live, work, learn and relate to one another. At the University of ...

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. Rather than passively receiving ...

AI Literacy in Teaching and Learning (ALTL) has been defined as “understanding the fundamentals of how AI works; critically evaluating the application of AI tools in teaching, scholarship, and the ...

The COVID-19 pandemic had a profound impact on K-12 education, reshaping how students learn and educators teach. As schools closed their doors, remote learning became the primary mode of instruction, ...

Mary C. Wright’s new book, Centers for Teaching and Learning: The New Landscape in Higher Education (Johns Hopkins University Press) was born out of a fairly simple question: Just how many centers for ...

Technology has become an essential tool in modern education, transforming both teaching and learning processes. Its integration into the classroom offers numerous advantages that enhance the learning ...

The Interdisciplinary Teaching and Learning in Higher Education (TLHE) graduate certificate equips program participants with the necessary skills and competencies for promoting student learning in ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

The teaching and learning of linear algebra have evolved significantly over recent decades, underpinned by diverse approaches ranging from theoretical expositions to dynamic, model-based environments.