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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
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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
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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
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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
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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
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Bembenutty, Héfer – New Directions for Teaching and Learning, 2023
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…
Descriptors: Independent Study, Technology Uses in Education, Preservice Teachers, Student Projects
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Levy Cohen, Rinat; Zusho, Akane – New Directions for Teaching and Learning, 2023
Students who struggle to complete an assignment may rely on self-regulatory strategies such as rereading class notes or learning from worked-out examples from textbooks to handle tasks beyond their capability. Learners may also reach out to teachers or peers for assistance. In the past, seeking help from other individuals has been viewed as a…
Descriptors: Help Seeking, Student Behavior, Mathematics Achievement, Educational Technology
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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)
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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
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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
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Crisp, Erin; Hardman, Philippa – New Directions for Teaching and Learning, 2023
This chapter proposes a new approach to evaluating course quality by prioritizing the learner's feedback experience. The authors argue that courses may still be ineffective despite having the core components and suggest incorporating technology to enhance the feedback experience.
Descriptors: Learning Motivation, Feedback (Response), Design, Standards
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Kramarski, Bracha; Heaysman, Orna – New Directions for Teaching and Learning, 2023
Self-regulated learning (SRL) is a cyclical process of planning, performance, and reflection. Although SRL contributes to academic achievement, teaching SRL poses a challenge for teachers, who need support in theoretical and practical approaches to SRL knowledge and skills. The first stop for teachers to effectively learn and employ SRL practices…
Descriptors: Independent Study, Teachers, Faculty Development, Educational Objectives
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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
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Germain-Rutherford, Aline; Davis, Alexander; Burrows, Tylor – New Directions for Teaching and Learning, 2021
This introductory article provides a comprehensive overview of student engagement by reviewing student engagement conceptions and aspects influencing student engagement. The article concludes by highlighting considerations for student engagement and technology-facilitated education.
Descriptors: Instructional Effectiveness, Learner Engagement, Learning Strategies, Sustainability
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Dorneich, Michael C.; O'Dwyer, Brian; Dolowitz, Annetta R.; Styron, Jennifer L.; Grogan, James – New Directions for Teaching and Learning, 2021
This chapter describes best practices for adapting traditional, face-to-face, team-based learning principles to develop online application exercise design, support effective facilitation, and use appropriate technology to promote effective online team collaboration. The unique challenges of online TBL applications include maintaining effective…
Descriptors: Online Courses, Cooperative Learning, Teamwork, Best Practices
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