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AI and Teaching

In Case You Missed It: Technology and Distraction: Mid-Term Check-Ins on Your Attention Policies

April 10, 2024
Alex Ambrose and Jim Lang
two building blocks spelling Ai sitting atop an image of a computer circuit board

On March 4, Notre Dame Learning’s Kaneb Center for Teaching Excellence, in collaboration with the Teaching & Learning Technologies (TLT) group in OIT, presented a workshop titled “Technology and Distraction: Mid-Term Check-Ins on Your Attention Policies.” This event was conducted virtually and aimed to tackle the pressing issues surrounding technology’s impact on attention and learning in educational settings.

For those who could not join us, here are the essential insights gained from this thought-provoking session.

#1: The Dual-Edged Sword of Technology in Education

The workshop began by examining the intricate relationship between attention, technology, and learning. It emphasized the notion that while technology can significantly enhance learning environments, it can also act as a source of distraction. The session underscored the importance of directing students’ attention to what is significant in their learning journey.

#2: Adopting Context-Specific Technology Policies

The workshop advocated for a balanced approach to technology syllabus policies in classrooms, suggesting a spectrum that ranges from a total ban to a laissez-faire stance. The emphasis was on creating context-specific policies that are transparent, reflect course goals, and are adaptable to new technologies.

#3: Strategies for Incorporating genAI

The conversation extended to the emerging realm of artificial intelligence in education. It encouraged educators to thoughtfully consider how AI tools like ChatGPT can be integrated into their teaching practices in a manner that supports learning without undermining academic integrity. Practical strategies were provided to help educators navigate technology use in their classrooms effectively. These included conducting ethical case studies, taking the classroom’s “temperature” to understand students’ attitudes towards technology, and enhancing transparency about generative AI use in assignments.

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