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Mapping Generative AI to Tailored Outcomes
Imagine planning a trip to a new city. A quick online search highlights the usual downtown tourist spots, but as you explore more, you uncover unique neighborhoods—a financial district bustling with experts, a hidden restaurant scene, and a college area alive with bookstores and cafés. Yet, none of these appeared in your initial search for “best places to visit.”
Creating Learning Objectives
Learning objectives help inform students about what they will learn and how they will be assessed. Objectives are meant to align with course expectations. Therefore, any assigned exercises should be guided by the course’s specific learning objectives. Everything in the course should work together to ensure students achieve the course objectives.
Navigating Late Policies Online
Late submissions can raise thorny questions for online instructors. While studies show that students who submit assessments before the due date receive higher-than-average grades, as many as 70% of college students identify as procrastinators (You, 2015). Despite instructor attempts to create a manageable workload and motivate students to submit assignments on time, it is inevitable that procrastination, combined with the competing obligations of online students, will result in occasional late submissions. When preparing for an upcoming term, it is a good idea to share a late policy that clearly communicates your expectations for student submissions (Santelli et al., 2020).
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).
Audio-Only Content to Support Learning
In comparison to instructional videos, the role of audio-only instructional content in online learning has received scant attention. When audio-only content is discussed, the research often centers on the use of audio feedback or student-created podcasts, rather than instructor-created instructional audio. Additionally, few studies have compared learning outcomes from recorded video lectures versus from audio alone, except within the context of specific disciplines, such as second language acquisition (Berner & Adams, 2004).
Rubrics as a Tool to Support Equity and Inclusion
While student populations have become increasingly diverse, many groups, including first-generation, non-native English speakers, and individuals with disabilities, still face barriers and bias that can derail their success in college (Super et al., 2020). Traditional grading practices—including penalties for late work, writing in dialects other than standard English, and even plagiarism— are prone to bias and only perpetuate disparities (Feldman, 2019; Savini, 2021).
Types of Retrieval Practice Activities
By incorporating regular retrieval practice into your online course, you can ensure that key takeaways are actually being taken away by students to use in the future rather than being left behind due to lack of use. The following are some specific activities that can help move learners from a hazy recollection of something toward more clarity and permanence.
Developing Instructional Materials
Once you have defined the learning objectives for your course, you can begin to develop assessments to ensure students achieve those objectives. Once you have created assessments, you can begin to develop materials to ensure students succeed on those assessments. This backward design process—which moves from objectives to assessments and finally to materials—is known as learning-centered instruction, and it directs every course task toward the development of certain skills and competencies. This piece focuses on the third stage of this process, the development of high-quality instructional materials, beginning with the idea that robust and engaging online courses contain a mix of created and curated content. Below, you will find guidelines for creating and curating instructional materials to help you achieve the optimal balance for your course.
Universal Design for Learning
Universal Design for Learning (UDL), which has roots in Ronald Mace’s concept of Universal Design, is a pedagogical framework that supports diverse learning needs. According to CAST, the creator of the framework, UDL seeks “to improve and optimize teaching and learning for all people based on scientific insights into how humans learn” (2018). UDL is not a step-by-step curriculum plan, but rather an approach to pedagogy and curriculum development that aims to make the learning environment as accessible as possible for as many learners as possible (Derer, 2021; CAST, 2018).
Generative Artificial Intelligence and Academic Integrity
Chatbots, such as OpenAI’s ChatGPT, are increasingly being integrated into higher education as a tool to improve student engagement and support. While ChatGPT has shown promise in its ability to assist students with a wide range of tasks and provide instant feedback, there are also potential risks associated with its use. This article aims to explore the benefits and risks of using ChatGPT in higher education and offer insights into how this technology can be leveraged effectively to support student learning and development.