The WCET AI Policy Center is a database of AI policies from institutions across the nation which we are constantly updating.
Publication Type: Publication
The goal of this Closer Look is to provide practical tips for assessing, developing, and growing business partnerships at your institution. The resources focus on planning and budgeting, partnership assessment, and consistent feedback and review for initiatives.
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Expanding upon the AI Policy and Practice framework, this toolkit can be applied in real-world scenarios to ensure that Higher Education institutional policies and practices align with the ever-changing AI landscape.
It’s been a year of big changes for the Every Learner Everywhere network. We had changes in leadership, changes in network partnerships, and we launched a student internship program. Despite being a year of transition, 2023 saw the network’s impact grow, increasing our engagement with institutions and the number of countries in which those institutions are located. We also measure our annual impact through the services we provide institutions, our thought leadership in the field, and engagements with students.
In this report, read about the network’s impact in the areas of services, thought leadership, and student engagement. In addition, we recap our 2023 network convening, introduce our new Equity First Organization partners, feature some of our student interns, and give readers a preview of what’s ahead for the network in 2024.
Inside Higher Ed
Adapted from the research conducted by Cecilia Ka Yuk Chan and the AI Ecological Education Policy Framework, which addressed “the multifaceted implications of AI integration in university teaching and learning, WCET has created a new framework for institutions to develop policies related to AI in higher education.
This WCET Closer Look provides related definitions, takeaways for higher education practitioners, considerations related to Diversity, Equity, Inclusion, and Accessibility (DEIA), and considerations related to policies and/or regulations.
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At the heart of culturally responsive teaching is being responsive to students’ academic and social-emotional needs. This WCET Closer Look provides an overview of Culturally Responsive Learning, related definitions, important takeaways, considerations for DEI and Policy, plus additional resources.
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Established academic continuity plans allow colleges and universities to use their resources to manage disruptions, rather than using them to develop new plans and policies for each disruption event. While mobile communication and digital learning tools are widely used today on U.S. campuses, these tools have limited use in times of academic disruption without a plan on how to use them to maintain or resume academic operations. Having digital learning tools available to faculty is not useful if those individuals don’t know how to use them, and digital learning tools do not serve students who cannot afford to access them. Academic continuity planning is an essential component of the business continuity plans of colleges and universities, and yet hundreds of schools were not prepared for the months-long academic disruption caused by lockdowns in the wake of the COVID-19 pandemic.
This guide presents results from an analysis of 100 academic continuity plans at U.S. colleges and universities. The results form the basis for recommended academic continuity plan best practices, tools, and templates academic leaders can use to maintain a plan that can be used in both short-term and long-term circumstances. We believe that digital learning tools and platforms provide a solution for moving learning environments online in times of academic disruption. But they also play a bigger role in academic continuity planning. Much like required fire drills to prepare a campus community for a fire emergency, higher education needs to maintain a readiness to face disruptions to academic continuity.
The mix of technologies used in postsecondary instruction has become increasingly more varied, and information with students about instructional experiences can be confusing. Building upon on a series of WCET works over the past year on digital learning definitions, this paper presents several complex cases, based on real-world examples, where the learning modality is unclear. Discussion includes guidance and recommendations for categorizing and naming learning experiences that do not fit neatly into one category or another.