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Marek Urban; Cyril Brom; Jirí Lukavský; Filip Dechterenko; Veronika Hein; Filip Svacha; Petra Kmonícková; Kamila Urban – British Journal of Educational Technology, 2025
Recent studies have conceptualized ChatGPT as an epistemic authority; however, no research has yet examined how epistemic beliefs and metacognitive accuracy affect students' actual use of ChatGPT-generated content, which often contains factual inaccuracies. Therefore, the present experimental study aimed to examine how university students…
Descriptors: Artificial Intelligence, Metacognition, Technology Uses in Education, Beliefs
Adrienne Mueller; Johannes Konert; René Röpke; Ömer Genc; Henrik Bellhäuser – Journal of Computing in Higher Education, 2025
The study investigates how the 2×2 configuration of homogeneous and heterogeneous distributions of extraversion and prior knowledge influences group outcomes, including satisfaction, performance, and stability. Based on the standard deviation of extraversion and prior knowledge, groups were established to test experimentally, what form of grouping…
Descriptors: Extraversion Introversion, Prior Learning, Online Courses, Heterogeneous Grouping
Asami Watanabe – Psychology in the Schools, 2025
This study provided an assertiveness skills training program based on the process model of social skills and investigated the effect of assertiveness skills training on students at a women's university in Japan. It was a quasi-experimental study conducted in a pre- and post-survey design with nonequivalent groups. The training program included…
Descriptors: Assertiveness, Interpersonal Competence, Training, Foreign Countries
Chei-Chang Chiou; Koong H.-C. Lin – Education and Information Technologies, 2025
This study aimed to explore the effects of integrating learning-related animations and anthropomorphic warm-colored multidimensional concept maps into multimedia learning materials to stimulate positive emotions in university students and to investigate whether these materials could improve their learning achievements. The research method employed…
Descriptors: Concept Mapping, Multimedia Materials, Animation, Stimulation
Daleng Zhou; Hongling Zhou; Man Jiang – Chinese Education & Society, 2025
This study explored the relationships among learning engagement, employability, and career decision-making self-efficacy among college students in Guangzhou, China. We hypothesized that learning engagement positively influences both employability and career decision-making self-efficacy. A questionnaire survey was conducted with 467 students from…
Descriptors: College Students, Employment Potential, Learner Engagement, Career Choice
Nina Ivashinenko; Valentina Shatalina – Journal of Learning Development in Higher Education, 2025
Rapidly evolving informational technologies have created great opportunities for students and teachers, but in doing so, they have also impacted upon all aspects of higher education (HE) learning and teaching. While the education community has made great efforts to facilitate this transformation, it will be beneficial to examine the phenomenon…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, College Faculty
M. Nathan Tanner – History of Education Quarterly, 2025
The history of student activism during the twentieth century in both K-12 and higher education contexts has a robust literature base; however, Native American student activism has largely been overlooked by historians of education. Predating the well-known American Indian Movement (AIM) by nearly a decade, the National Indian Youth Council (NIYC)…
Descriptors: American Indian Students, Activism, College Students, History
Matt Kessler; Juan M. Rostrán Valle; Kübra Çekmegeli; Sean Farrell – Foreign Language Annals, 2025
The emergence of generative artificial intelligence (GenAI) chatbots has created opportunities and challenges for higher education. Extant scholarship has explored GenAI's capabilities and topics involving teachers' and students' perceptions of these tools. However, there is limited research exploring (1) whether second language (L2) learners…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Ethics
Olesya Kisselev; Irina Dubinina; Dmitrii Pastushenkov; Jason Merrill – Foreign Language Annals, 2025
Language classrooms in North America have changed significantly in the past decades. They no longer serve only mainstream second language learners whose primary exposure to the target language is in the classroom; instead, they now often include heritage language learners, whose exposure to the language began at home and who arrive at…
Descriptors: Russian, Native Language Instruction, College Programs, Language Teachers
Cong Zhang; Xinyu Ma; Icy Lee – Asia-Pacific Education Researcher, 2025
While previous studies have investigated students' perceptions of plagiarism, few have focused on new types of digital plagiarism triggered by artificial intelligence (AI), especially the factors that influence students' perceptions of such plagiarism. Through a questionnaire survey among 465 students from a university in Eastern China and…
Descriptors: Plagiarism, Artificial Intelligence, Technology Uses in Education, College Students
Lia M. Daniels; Kendra Wells – Assessment & Evaluation in Higher Education, 2025
Typically, students view classroom assessments like tests, exams, reports, and essays as a major stressor in higher education. However, it is also plausible that students have experienced instances in which the purposes, format, and design of classroom assessment actually supports their well-being. We used a qualitative descriptive design to…
Descriptors: College Students, Student Attitudes, Student Evaluation, Well Being
Jherwin P. Hermosa; Edilberto Z. Andal – Anatolian Journal of Education, 2025
This study examined how transformational teaching practices and the adoption of flexible learning strategies influence students' university experiences. Adopting qualitative approach and employing thematic analysis, 10 participants who had encountered flexible learning during and after the pandemic were involved in the research. The study…
Descriptors: College Students, Student Experience, Transformative Learning, Teaching Methods
Sarah Wyman; Andrea Roxana Bellot – Intercultural Education, 2025
In a literary studies-focused Collaborative Online International Learning (COIL) project, students?from Catalonia, Spain and the U.S. experienced holistic learning activities that hinged experiential analysis and interpretation practice to urgent problems of social and economic instability. By using the UN Sustainable Development Goals (SDGs) to…
Descriptors: Cooperative Learning, Electronic Learning, Sustainability, Humanities Instruction
Danielle Lottridge; Davis Dimalen; Gerald Weber – ACM Transactions on Computing Education, 2025
Automated assessment is well-established within computer science courses but largely absent from human--computer interaction courses. Automating the assessment of human--computer interaction (HCI) is challenging because the coursework tends not to be computational but rather highly creative, such as designing and implementing interactive…
Descriptors: Computer Science Education, Computer Assisted Testing, Automation, Man Machine Systems
Marcos D. Rivera; Shanna S. Jaggars; Rebecca Cepeda – Educational Policy, 2025
Most college graduates in the United States earn excess credit hours (ECH) that do not apply to their degree. In response, multiple U.S. states and college systems have shifted the costs of ECH away from taxpayers and toward students--a response which implies ECH is primarily driven by students who engage in frivolous course-taking. To better…
Descriptors: Public Colleges, College Credits, School Policy, Costs

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