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Generative AI: A Guide to Course Integration
Artificial intelligence (AI) makes regular headlines, from debates about whether it will create or destroy jobs, to conversations about the ethics of its use in hiring or medicine, to its impact on higher education. The role and impact of AI in our lives is up for debate. One aspect, however, is not: employers are looking for graduates who know how to utilize AI to improve productivity in their roles. According to a recent article, 91 percent of hiring companies are looking for candidates with ChatGPT experience (Blum, 2023). Given the demand for AI experience in the job market, many educators are looking to integrate AI into their courses. But now comes the hard part—how do you do that? It is important to note that you will want to review your university’s policies on AI usage, especially as it pertains to the use of specific tools, prior to integrating AI into your course.
Accessibility Considerations for Students With Motor Disabilities
Online courses can offer numerous advantages to students. In order for all students to benefit from these advantages, it is essential to prioritize accessibility needs in all aspects of course design and delivery. This piece focuses on considerations and recommendations for enhancing the accessibility of online courses for students with motor impairments.
Developing AI Literacy Across the Curriculum: A Guide for Programs and Faculty
The rapid integration of AI into professional practice across disciplines makes AI literacy increasingly crucial, not just for technology-focused fields but for all areas of study. Even faculty who are skeptical of AI's value need to consider how it's transforming their disciplines. For example, scientific fields are seeing AI adoption in literature reviews, experimental design, and data analysis. In the humanities, AI tools are already being used for textual analysis, translation, and content creation. Creative disciplines must grapple with AI's impact on artistic production and copyright. Professional programs face increasing pressure from employers who expect graduates to understand AI applications in their field.
Integrating AI Into Assessments: From Policy to Practice
Conventional assessments, such as essays and multiple-choice questions, have long been the cornerstone of evaluating student performance. However, the widespread availability of generative AI (genAI) tools necessitates rethinking assessment methods. Now that genAI tools are readily accessible and rapidly improving, it is crucial to develop assessment approaches that maintain academic integrity while leveraging the benefits of AI to engage students and prepare them for the modern workforce (Yu, 2023).
Fostering Deep Learning and Motivation in the AI Era
As generative artificial intelligence (genAI) reshapes the educational landscape, faculty must rethink traditional assessment strategies to maintain academic integrity and real-world relevance. This piece explores strategies for creating effective assessments in an AI-mediated world, focusing on two key areas: collaborative activities that develop essential human skills, and formative assessments that emphasize personal growth and deep learning. These approaches not only address concerns about AI misuse but also prepare students for future workplaces where human capabilities will complement AI tools.
The Need to Rethink Assessments in the Age of Generative AI
The rapid advancement of generative artificial intelligence (genAI) technologies has sent shockwaves through the education sector, sparking intense debates about academic integrity, assessment practices, and student learning (Roe et al., 2023; Rudolph et al., 2023; Susnjak & McIntosh, 2024; Swiecki et al., 2022; Yeo, 2023). Since the public release of ChatGPT in November 2022, educators have grappled with concerns about cheating and the potential erosion of traditional academic values (Gorichanaz, 2023; Sullivan et al., 2023). However, as our understanding of genAI capabilities evolves, so too must our approach to assessment and teaching (Lodge et al., 2023).
Preparing for Video Production
In this video, Everspring's former Director of Creative Services Stephanie Dzieglo guides you through the preparation needed to create an impactful video for your course.
Engagement Series: Introduction
There are many components to consider when developing an online course; a key framework to inform course development is student engagement. The Glossary of Education Reform defines student engagement as “the degree of attention, curiosity, interest, optimism, and passion that students show when they are learning or being taught, which extends to the level of motivation they have to learn and progress in their education” (Great Schools Partnership, 2016, para. 1). Developing and evaluating course content through the lens of engagement can help instructors create an environment that is conducive to learning and mastery of course outcomes.
Quiz Writing Best Practices
Quizzes are one of the most common forms of assessment. Instructors can use quizzes to not only test students but also check on their students’ progress throughout a course. When used effectively, quizzes can assess students in a variety of ways. This piece will provide recommendations and best practices for enhancing the quality of quiz content.
Engagement Series: Student-Instructor Engagement
This is the fourth and final piece in a series exploring different types of course engagement. This piece focuses on how course developers and instructors can foster student-instructor engagement in online courses.