Online and Distance Education Commons^™

Selecting Appropriate Technology For An Effective Online Extension Course, Paul A. Hill, Amanda D. Ali, Emy A. Swadley, Russell O. Goodrich

The Journal of Extension

Technology is a strategic asset in accomplishing the land grant mission. Selecting appropriate technology for Extension program management and delivery is essential to achieving planned outcomes, but can be challenging. This article describes the technology platforms selected by a new, legislatively funded Extension program delivering an online course in a hybrid distance-learning experience. The descriptions and application of these technology platforms will assist Extension professionals in choosing technology suitable for delivery and management of their programs as they plan for impact.

Crisis Meets Opportunity: Empowering Faculty When Returning To The Higher Education Classroom​, Nicole Luongo, Michael Finetti, Kimberly Case, Jay Garrels, Renee Evans

Journal on Empowering Teaching Excellence

Access the online Pressbooks version of this article here.

This article presents information surrounding how the COVID-19 crisis can lead to opportunities for empowering growth in faculty course development and delivery. The authors show how higher education instructors have implemented remote teaching experiences they used during the pandemic to create engaging learning opportunities for students as they are returning to the higher education classroom. The article explores innovative ideas for communication and instruction, equity issues, and inclusive practices. The authors address the overall changing higher education climate and share their personal experiences transitioning from teaching in a face-to-face setting to …

Full Issue: Journal On Empowering Teaching Excellence, Volume 7, Issue 1, Spring 2023

Journal on Empowering Teaching Excellence

The full-length Spring 2023 issue (Volume 7, Issue 1) of the Journal on Empowering Teaching Excellence

Access the online Pressbooks version (with downloadable EPUB format) here.

The Spring 2023 issue presents research and guidance on topics related to student self-reflection, participatory learning, and returning to the in-person learning following the COVID-19 pandemic. The first article takes a critical approach to understanding pedagogy with adult learners by involving students in the creation of course syllabi as a way to challenge ideologies related the roles of instructor and students. The second article blends research and narrative to explore how the experiences of …

How To: Virtual Events For Large Section Course: Preparing Students For A Post Covid Work World With The Help Of Industry Partners, Melissa Diegnau

Management and Entrepreneurship Department Publications

This session offers you insight on how one had to pivot with nearly 300 students during COVID and come out shining. The goal is to see how technology can be used to offer successful virtual events for large section courses and do so better than the traditional in-person offering because of increased industry participation and preparation for the post-COVID work-world. I will walk you through why the change happened, why we kept it virtual post-COVID, and how you can offer a virtual mock interview to nearly 300 students in 2.5 hours and have both students and industry raving about the …

Balancing The Benefits And Risks Of Ai Large Language Models In K12 Public Schools, Jesse Senechal, Eric Ekholm, Samaher Aljudaibi, Mary Strawderman, Chris Parthemos

MERC Publications

With artificial intelligence (AI) models rapidly emerging, the potential implications for K12 education are imminent. To illuminate the potential impacts on public schools, this MERC research brief answers the following questions: 1) What is AI? What are AI large language models? How do they work?, 2) What are the implications of large language models for teaching and learning?, 3) What are the main concerns with the use of AI large language models? What are the concerns for use within public schools?, 4) What are the considerations for school district policy on AI large language models?, and 5) What are the …