This chapter describes a research study of first-year college students and their perceptions of personal and school-based research and suggests instructional strategies to bridge their everyday digital research practices with academic knowledge construction.

While AI has the potential to streamline assessment development in higher education, there are concerns about its reliability, fairness, and potential to perpetuate bias. This study sought to understand the perceptions of academics and teaching and learning (T&L) specialists on the use of AI tools and large language models on assessment…

ChatGPT and generative AI (GenAI) are disrupting students' traditional writing process. Although this development may seem novel, new technologies and writing practices have always affected the classroom, as research in composition shows. Turning to this existing scholarship, I show how composition studies provide a useful framework for thinking…

This study explores the use of generative AI, specifically Google's Bard and OpenAI's ChatGPT, to enhance qualitative research within higher education assessment, focusing on institutional assessment practitioners. Using a dataset focused on diversity, equity, and inclusion (DEI) from annual faculty assessment reports, we tested traditional…

This chapter investigates the integration of generative AI (GenAI), specifically ChatGPT, into institutional and course-level assessment at Western New England University. It explores the potential of GenAI to streamline the assessment process, making it more efficient, equitable, and objective. Through the development of a proprietary GenAI tool,…

Extensive evidence indicates that self-regulated learning is associated with crucial academic outcomes and the significant ways digital technologies enhance pedagogical approaches in diverse learning environments in postsecondary education. Despite this evidence, self-regulated learning and digital technologies have not been fully integrated to…

This chapter invites instructors to consider practices to help students explore the intersection of social media and academic digital spaces. It argues that doing so increases digital literacy and digital citizenship in students.

This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…

This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…

The goal of this chapter is to propose a cyclical process of how teachers can use multimodal multichannel data of cognitive, affective, metacognitive, motivational, and social processes to assist with the understanding of their own and their students' self-regulated learning (SRL), and their subsequent instructional decision making. What…

In this article, we investigate the critical intersections of AI, academic integrity, and disability in the context of a large undergraduate course. Our aim was to adapt the course to respond to generative AI (GenAI) to avoid entrenching barriers for students, and instead teach them how to use GenAI tools in ways that deepen their learning and…

This chapter provides an overview of a novel computer-based learning environment, the Diagnostic Assessment and Achievement of College Success (DAACS), designed to generate and leverage diagnostic assessment data about college students' academic and self-regulated learning (SRL) skills to create effective success pathways for students as they…

This chapter discusses using technology to create Personalized Learning Pathways. Adaptable for any class format, such applications offer solutions for establishing competency, promoting deep and active learning, and empowering the instructor's data-driven decision-making.

This chapter examines the emotional experience of teachers who are designing courses for digital learning environments. Recommendations for gaining confidence and coping with the emotional stress of rethinking a course for online learning are addressed.

As the final chapter of this special issue, we recognize there are multiple challenges to working in the health professions that impact health professions educators' abilities to teach and support learners. We provide a broad overview of the next generation of learners, in addition to exploring teaching and learning approaches for this population.…