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Behlul Sulimani; Ciara Howard – Perspectives: Policy and Practice in Higher Education, 2025
The National Student Survey (NSS), introduced in 2005, provides an opportunity to comprehensively gather feedback from UK undergraduate students. Given the survey results feed into league tables and how the Office for Students regulates universities, the survey is generally taken seriously by higher education institutions. This article provides a…
Descriptors: Student Surveys, National Surveys, Undergraduate Students, Communication Strategies
Jessica D. Kotik; Merilee McCurdy; Christopher H. Skinner; Chelsea S. Wilson; Valerie E. Hogan-Sandi; Catherine Smith; Brian E. Wilhoit – Psychology in the Schools, 2025
Inclusive Postsecondary Education programs are designed to provide students with disabilities the opportunity to seek postsecondary education while receiving explicit instruction and support in social and emotional, independent living, and vocational skills. While students enroll in college classes, there is little research available for how to…
Descriptors: Students with Disabilities, Intellectual Disability, Developmental Disabilities, Intervention
Zoe Kriegel; Adam M. Fullenkamp; Jason A. Whitfield – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The current project aimed to examine the effects of two experimental cognitive-linguistic paradigms, the Stroop task and a primed Stroop task, on speech kinematics and perioral muscle activation. Method: Acoustic, kinematic, and surface electromyographic data were collected from the verbal responses of 30 young adult healthy control…
Descriptors: Speech Skills, Speech Communication, Mechanics (Physics), Interference (Learning)
Wannapon Suraworachet; Qi Zhou; Mutlu Cukurova – Journal of Computer Assisted Learning, 2025
Background: Many researchers work on the design and development of multimodal collaboration support systems with AI, yet very few of these systems are mature enough to provide actionable feedback to students in real-world settings. Therefore, a notable gap exists in the literature regarding students' perceptions of such systems and the feedback…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Cooperative Learning
Maurício D. Martins; Zoe Bergmann; Elena Leonova; Roberta Bianco; Daniela Sammler; Arno Villringer – Cognitive Science, 2025
Recursive hierarchical embedding allows humans to generate multiple hierarchical levels using simple rules. We can acquire recursion from exposure to linguistic and visual examples, but only develop the ability to understand "multiple-level" structures like "[[second] red] ball]" after mastering "same-level"…
Descriptors: Psychomotor Skills, Adults, Adult Learning, Learning Processes
Paul Orsmond; Nicola Young; Remi Zvauya – Assessment & Evaluation in Higher Education, 2025
Feedback research in higher education indicates teachers are required to support students in developing feedback literacy (i.e., the ability to make sense of feedback and use it). Emphasising the role of the teacher is problematic as students may develop feedback literacy outside the formal curriculum when sharing feedback with peers. Our study…
Descriptors: Communities of Practice, Feedback (Response), Knowledge Level, Medical Students
Jennifer Schluer; Annika Brück-Hübner – Assessment & Evaluation in Higher Education, 2025
Feedback is a key factor for learning success and has therefore been widely studied in higher education. As feedback is a highly contextualized practice serving various learner needs, researchers have utilized a plethora of feedback designs in their intervention studies. This diversity in feedback conceptualizations and pedagogical designs often…
Descriptors: Feedback (Response), Higher Education, Program Design, Program Effectiveness
David Playfoot; Ruth Horry; Aimee E. Pink – Assessment & Evaluation in Higher Education, 2025
Although teachers spend a lot of time striving to provide high-quality feedback, students do not always act upon it and may rate it as unhelpful. The current study attempted to determine the characteristics of feedback that influence students' intentions to use teachers' comments in their future work. Participants rated real feedback comments for…
Descriptors: Feedback (Response), Student Attitudes, Intention, Language Usage
Huahui Zhao; Thi Ngoc Yen Dang; Natalie Finlayson – Assessment & Evaluation in Higher Education, 2025
Research has revealed that critical thinking (CT) can predict undergraduate academic performance well. It is essential for nurturing students' unique voice and creativity, especially in the era of Large Language Models (LLMs). LLMs can generate linguistically complex texts, potentially overshadowing students' authorial voices--particularly those…
Descriptors: Critical Thinking, Graduate Students, Writing (Composition), Intellectual Disciplines
Xu Xuewen; Natthawat Khositditsayanan; Chalermkit Kengkaew – International Education Studies, 2025
This study focuses on developing a teaching manual for Neapolitan folk songs in Italian, specifically designed for Chinese undergraduate vocal music students. Neapolitan folk songs, characterized by rich emotional expression and lyrical beauty, are an essential part of Italian music culture. The manual aims to fill a gap in vocal music education…
Descriptors: Singing, Folk Culture, Italian, Music Education
Imed Louhichi – Educational Process: International Journal, 2025
Background/purpose: The purpose of this study is to explore how ecological complexities shape feedback processes and to propose a feedback literacy model that advances both theoretical understanding and practical improvement. Materials/methods: The study employed a mixed exploratory approach. A structured online survey was distributed to 110…
Descriptors: Feedback (Response), Knowledge Level, Higher Education, School Personnel
Rebecca L. Taylor; Kris Knorr; Michelle Ogrodnik; Peter Sinclair – Teaching & Learning Inquiry, 2025
Midterm student feedback is increasingly considered to have greater potential for improvement in post-secondary teaching than end-of-term course evaluations. While many benefits have been established, the process for gathering midterm feedback has been studied exclusively with the aim of characterizing short-term effects. At McMaster University,…
Descriptors: Feedback (Response), Educational Change, Foreign Countries, Educational Practices
Lanqin Zheng; Zhe Shi; Zhixiong Fu; Shuqi Liu – Journal of Science Education and Technology, 2025
In recent years, in the era of digital intelligence, intelligent feedback has received increasing attention. However, few studies have explored the impacts of intelligent feedback on learning achievements and learning perceptions in inquiry-based science learning. To address these research gaps, this study examined the overall impacts of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Academic Achievement
Juliette Woodrow; Sanmi Koyejo; Chris Piech – International Educational Data Mining Society, 2025
High-quality feedback requires understanding of a student's work, insights into what concepts would help them improve, and language that matches the preferences of the specific teaching team. While Large Language Models (LLMs) can generate coherent feedback, adapting these responses to align with specific teacher preferences remains an open…
Descriptors: Feedback (Response), Artificial Intelligence, Teacher Attitudes, Preferences
Sema Soydan; Ayber Acar; Kamile Mutlu – European Early Childhood Education Research Journal, 2025
The present study aimed to investigate the mediating role of children's working memory levels in the relationship between attachment insecurity levels and emotion regulation skills. A total of 150 children aged 5 years, 75 girls and 75 boys, were selected by the stratified cluster sampling method and their mothers participated in the study. The…
Descriptors: Parent Child Relationship, Attachment Behavior, Short Term Memory, Emotional Response

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