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Emily E. Bernstein; Rebecca M. Shingleton; Ellen F. Finch; Nicole J. LeBlanc; Kate H. Bentley; Paul Barreira; Richard J. McNally – Journal of American College Health, 2025
Objective: This manuscript describes an evidence-based, student-led, single-session group intervention to support emotional wellbeing among graduate students. The present objective is to provide a roadmap for other universities. Participants: Key participants include clinical psychology graduate students (leader and workshop facilitators), faculty…
Descriptors: Graduate Students, Well Being, Mental Health, Evidence Based Practice
Munish Saini; Eshan Sengupta; Naman Sharma – Education and Information Technologies, 2025
To be an effective teacher, one must possess strong learning abilities. Developing lesson planning, pursuing learning objectives, and assessing post-lesson accomplishments all these depend on reflection and ongoing learning. As education is context-specific, the iterative process of preparing, reflecting, and improving is what makes teaching…
Descriptors: Artificial Intelligence, Technology Uses in Education, Nonverbal Communication, Feedback (Response)
Nauryz Kuldanov; Svetlana Balagazova; Kamarsulu Ibrayeva; Aliya Mombek; Zhanbolat Kosherbayev; Nazymgul Bolatkhan – Journal of Educational Computing Research, 2025
The primary aim of this study was to evaluate whether the use of the EmoMusic dataset could enhance first-year students' emotional and musical creativity. A randomized controlled trial was conducted with 128 students. Participants were randomly assigned either to a control group that continued traditional vocal training or to an experimental group…
Descriptors: College Freshmen, Music Education, Creativity, Emotional Response
Simin Xu; Yanfang Su; Kanglong Liu – Education and Information Technologies, 2025
Despite the well-established importance of feedback in education, the application of Artificial Intelligence (AI)-generated feedback, particularly from language models like ChatGPT, remains understudied in translation education. This study investigates the engagement of Master's students in translation with ChatGPT-generated feedback during their…
Descriptors: Learner Engagement, Artificial Intelligence, Translation, Revision (Written Composition)
Seyma Çaglar-Özhan; Perihan Tekeli; Selay Arkün-Kocadere – Journal of Computer Assisted Learning, 2025
Background: Feedback is an essential part of the educational process as it enriches students' learning experiences, provides information about their current performance, shows them what is lacking in achieving goals, and provides guidance on the strategies needed to achieve those goals. Teachers, especially in crowded classrooms, often have…
Descriptors: Feedback (Response), Artificial Intelligence, Teacher Role, Technology Uses in Education
Angela Choi Fung Tam – Assessment & Evaluation in Higher Education, 2025
Although the importance of teacher feedback literacy in enhancing student feedback literacy is recognized, the influence of teacher beliefs on teacher feedback literacy at the classroom level remains uncertain. This study aimed to address this issue by examining twenty-two educators' beliefs in Hong Kong universities. Data were collected through…
Descriptors: Foreign Countries, Higher Education, College Faculty, Teacher Attitudes
Darren Paul Fisher; Gaelle Brotto; Iris Lim; Colette Southam – Assessment & Evaluation in Higher Education, 2025
While key attributes of effective feedback have frequently been included in studies on student learning, little research has focused on the impact of the timeliness of feedback on student motivation. By providing students with written feedback at 1, 3, 7, 10, or 14 days after submission, this mixed design study enriches our understanding of the…
Descriptors: Formative Evaluation, Student Evaluation, Feedback (Response), College Students
Evaluative Feedback Isn't Enough: Harnessing the Power of Consequential Feedback in Higher Education
Kathleen M. Quinlan; Edd Pitt – Assessment & Evaluation in Higher Education, 2025
Most research on feedback in higher education focuses on evaluative feedback and its recipience, uptake, and enactment. Evaluative feedback information includes judgments, critiques and suggestions for improvement provided by a teacher, peer, self, pre-programmed automatic feedback, or artificial intelligence tutoring systems. In contrast, we…
Descriptors: Feedback (Response), Concept Formation, Higher Education, Health Education
J. Weidlich; I. Jivet; S. Woitt; D. Orhan Göksün; J. Kraus; H. Drachsler – Assessment & Evaluation in Higher Education, 2025
Feedback literacy is gaining recognition as a key concept for understanding how engage with and learn from feedback in higher education. This study presents validity evidence for a refined version of the Student Feedback Literacy Instrument (SFLI), designed to measure the construct across two dimensions--feedback attitudes and feedback…
Descriptors: Feedback (Response), Knowledge Level, Measures (Individuals), Test Construction
Kylie Gorney; Mark D. Reckase – Journal of Educational Measurement, 2025
In computerized adaptive testing, item exposure control methods are often used to provide a more balanced usage of the item pool. Many of the most popular methods, including the restricted method (Revuelta and Ponsoda), use a single maximum exposure rate to limit the proportion of times that each item is administered. However, Barrada et al.…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
Tina Skinner; Kristine Brance; Sarah Halligan; Emily Tsang; Heather Girling – Journal of Academic Ethics, 2025
While previous work has highlighted the possible impacts of undertaking emotionally challenging research, it is only recently, particularly within the UK with the 2028 Research Excellence Framework focus on research culture, that this subject is starting to gain senior leadership attention. Funded by the UK Research and Innovation, Researcher…
Descriptors: Foreign Countries, Researchers, Research Problems, Research Administration
Guanhua Hou; Xinlei Wang – International Journal of Technology and Design Education, 2025
The AI-generated inspirational images provided a new pathway for design learners to obtain inspiration, but previous research had overlooked the impact of the emotional valence and arousal of AI-generated images on design creativity. This study investigated the effects of emotional valence and arousal of AI-generated images on design creativity…
Descriptors: Artificial Intelligence, Design, Computer Graphics, Creativity
Tornike Giorgashvili; Ioana Jivet; Cordula Artelt; Daniel Biedermann; Daniel Bengs; Frank Goldhammer; Carolin Hahnel; Julia Mendzheritskaya; Julia Mordel; Monica Onofrei; Marc Winter; Ilka Wolter; Holger Horz; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate their learning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LAD design, there remains a gap in understanding how learners make sense of information visualised on LADs…
Descriptors: Field Studies, Student Reaction, Feedback (Response), Learning Analytics
Ziqian Wei; Shuting Yin; Roy B. Clariana; Xuqian Chen – Educational Technology Research and Development, 2025
Theories and practices to enhance multiple document comprehension and integration are crucial in both personal and work contexts, especially with the proliferation of printed and online sources. This experimental investigation replicates and extends (Wei et al., Educational Technology Research and Development 72:661-685, 2024) to examine how…
Descriptors: Prereading Experience, Expository Writing, Descriptive Writing, Prompting
Jennifer H. Martinez; Noor N. Tahirkheli; Lizabeth Roemer; Anna Ying; Tahirah Abdullah – Journal of American College Health, 2025
Objective: We examined the associations between coping strategies in response to racism and distress symptoms. Sample: One hundred forty-four racially minoritized students at a northeastern university completed an online survey. Methods: Participants completed self-report active and emotion-focused coping and distress symptom (i.e., depression and…
Descriptors: Racism, Coping, College Students, Stress Management

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