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Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
Kitsantas, Anastasia; Dabbagh, Nada – New Directions for Teaching and Learning, 2011
Recent research shows that Web 2.0 technologies are not only shaping how college students connect to the world and each other but also are affecting their learning and performance. Additionally, some research evidence suggests that faculty can use social software tools to facilitate student self-regulated learning processes, such as goal setting,…
Descriptors: Internet, Information Technology, College Students, Learning

Head, J. Thomas – New Directions for Teaching and Learning, 1992
Trends in computer graphics include increasing speed of processing, higher-resolution computer displays, and easier-to-use software with expanded clip-art libraries and high-quality templates. In the 1990s, colleges and faculty should be preparing for the changes this will soon bring in the teaching/learning process. (MSE)
Descriptors: Change Strategies, College Instruction, Computer Graphics, Computer Software

Sullivan, Patricia – New Directions for Teaching and Learning, 1994
The principles underlying development of software for computer-based instruction and collaborative learning are examined, and it is concluded that although traditional software and hardware originate from traditions of individual learning, software designed to aid in collaborative learning originates from conceptualizations of group learning. (MSE)
Descriptors: Classroom Techniques, College Instruction, Computer Assisted Instruction, Computer Software