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Patricia Dalton Medved – New Directions for Teaching and Learning, 2024
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.
Descriptors: College Freshmen, Student Attitudes, Student Research, Technology Uses in Education
Shamola Pramjeeth; Priya Ramgovind – New Directions for Teaching and Learning, 2025
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Educational Assessment
Daniel Dale – New Directions for Teaching and Learning, 2025
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…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Integration
Ruth C. Slotnick; Joanna Z. Boeing – New Directions for Teaching and Learning, 2025
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…
Descriptors: Educational Research, Qualitative Research, Research Methodology, Artificial Intelligence
David DiSabito; Lisa Hansen; Thomas Mennella; Josephine Rodriguez – New Directions for Teaching and Learning, 2025
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,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Educational Assessment
Christian Coenen; Mirjam Pfenninger – New Directions for Teaching and Learning, 2025
This article examines the transformative impact of generative artificial intelligence (GenAI) in enhancing feedback quality in a Bachelor of Science course. It the challenges of providing personalized, timely feedback to students in larger educational settings, focusing on the use of GenAI to analyze and respond to student logbooks. These logbooks…
Descriptors: Learning Experience, Student Evaluation, Artificial Intelligence, Feedback (Response)
Candyce Reynolds; Melissa Shaquid Pirie; Sonja Taylor – New Directions for Teaching and Learning, 2024
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.
Descriptors: Digital Literacy, Portfolios (Background Materials), Electronic Publishing, Social Media
Cesare Giulio Ardito – New Directions for Teaching and Learning, 2025
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Identification
Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
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…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
Sarah Summers – New Directions for Teaching and Learning, 2024
This chapter describes a pedagogy-first summer faculty development program designed to support faculty who want to add digital components to a course or academic program.
Descriptors: College Faculty, Faculty Development, Summer Programs, Institutes (Training Programs)
Azeezah Jafry; Jessica Vorstermans – New Directions for Teaching and Learning, 2025
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…
Descriptors: Intersectionality, Artificial Intelligence, Students with Disabilities, Undergraduate Students