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As educators navigate the challenges and opportunities presented by generative AI (genAI), many are reconsidering traditional assessment approaches. Alternative assessment methods offer innovative ways to evaluate student learning that go beyond conventional grading systems, focusing on authentic learning, skill development, and meaningful engagement. These approaches not only address the challenges posed by AI but also align with research on effective learning and motivation (Furze, 2023; Pitts Donahoe, 2023).

From trivia games to final exams, quizzing tools have a variety of uses for learning as well as assessment. Exams and quizzes have a particularly plentiful range of possibilities in a multimodal or hybrid course, where they can be administered synchronously or asynchronously. Research suggests that the presentation of a tool influences student behavior in response to the tool. When comparing two student discussion boards, one an ungraded discussion and one a graded replacement for a final exam, Cheng et al. (2013) found that students displayed more knowledge on the graded board but more evidence of learning on the ungraded board. The students who participated in the study were more likely to grapple with new ideas when the stakes were low but more eager to showcase topics they were confident about when their responses would have a greater impact on their grades. When considering quizzing tools, we recommend allowing your course goals to guide your usage.

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.

Employing a variety of modes of instruction and assessment, as recommended by Universal Design for Learning (UDL) principles, can enhance the learning experience for students in quantitative courses. Diverse elements such as visual aids, interactive features, and real-world applications can complement, extend, or replace traditional lectures and exams. Since classes consist of students with varying learning preferences and strategies, using multiple modes of representation in a course promotes deeper understanding, engagement, and skill development. This piece details design elements that can be particularly impactful in quantitative courses.

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).