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Helen Briscoe; Claire Olson; Maisie Prior – Journal of Learning Development in Higher Education, 2023
A key concern for educators is that students actively receive, engage with, and implement their academic feedback. However, increasing evidence suggests that students in HE do not engage well with feedback. One way to address this concern is to look at how we can develop feedback literacy in students, which requires a level of academic resilience.…
Descriptors: Feedback (Response), Resilience (Psychology), Workshops, Program Effectiveness
Huifeng Mu; Christian D. Schunn – International Journal of Educational Technology in Higher Education, 2025
Peer feedback can be highly effective for learning, but only when students give detailed and helpful feedback. Peer feedback systems often support student reviewers through instructor-generated comment prompts that include various scaffolding features. However, there is little research in the context of higher education on which features tend to…
Descriptors: Peer Evaluation, Feedback (Response), Program Effectiveness, College Students
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
Ines A. Martin; Lieselotte Sippel – Language Teaching Research, 2025
This study investigated the relationship between learner beliefs about peer feedback and development of second language (L2) pronunciation skills after peer feedback on pronunciation had been used in the classroom. Seventy-four first-year learners of German were assigned to a peer feedback provider group, a peer feedback receiver group, and a…
Descriptors: Student Attitudes, Feedback (Response), Peer Evaluation, Second Language Learning
Olena Tyron; Ludmyla Dotsenko; Inna Kariaka – Journal of Education and Learning (EduLearn), 2024
The results of the empirical stage statistically proved that phototherapy is one of the effective tools of psycho-pedagogical assistance to adolescents who experience difficulties associated with emotional identification. We diagnosed the level of formation of this phenomenon within the sample of 240 respondents who are university and school…
Descriptors: Adolescents, Emotional Response, College Students, High School Students
Zhe Hou; Xiang Li; Jiawen Yang; Shi Yang Xu – npj Science of Learning, 2024
This study investigates the effectiveness of a Low-Cost Single-Channel BCI system in improving mathematical learning outcomes, self-efficacy, and alpha power in university students. Eighty participants were randomly assigned to either a BCI group receiving real-time neurofeedback based on alpha rhythms or a sham feedback group. Results showed that…
Descriptors: Mathematics Instruction, Outcomes of Education, Self Efficacy, College Students
Penelope Hasking; Nigel T. M. Chen; Vivian Chiu; Nicole Gray; James J. Gross; Mark Boyes – Journal of American College Health, 2024
Background: More than one-third of university students meet diagnostic criteria for a mental disorder, and three quarters experience role impairment in some aspect of their life. One determinant of whether young adults will experience mental health difficulties is their ability to regulate emotion. We conducted two pilot trials of a brief online…
Descriptors: College Students, Emotional Response, Self Control, Online Courses
Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Abrar H. Alsofyani; Amal M. Barzanji – Journal of Educational Computing Research, 2025
Corrective feedback plays a critical role in enhancing writing skills among English as a Foreign Language (EFL) learners, but large class sizes often hinder the provision of personalized feedback. Generative AI tools such as ChatGPT have emerged as promising solutions that offer immediate and individualized feedback for writing. This study…
Descriptors: Feedback (Response), Artificial Intelligence, English (Second Language), Second Language Learning
Alex J. Adams – ProQuest LLC, 2023
Video feedback is one of the most common suggestions for online physical education teachers to use. This method can effectively teach motor skill learning in face-to-face settings but lacks the same empirical backing in online environments. Therefore, this study aimed to examine the effects of providing different forms of pedagogical guidance with…
Descriptors: Video Technology, Feedback (Response), Online Courses, Physical Education
Yanmengqian Zhou; Ruobing Li; Lijiang Shen – Journal of American College Health, 2024
Objective: The study tested potential factors that differentiated the COVID-19 vaccine-hesitant and -inclined college students and, based on these factors, identified subgroups of the vaccine-hesitant students. Participants: Participants were 1,183 U.S. college students attending four-year universities or community colleges recruited through…
Descriptors: College Students, Student Attitudes, COVID-19, Pandemics
Paul Fleckney; James Thompson; Paulo Vaz-Serra – Higher Education Research and Development, 2025
The higher education shift to remote learning due to mobility restrictions imposed during the COVID-19 pandemic highlighted the need to improve the student learning experience using more active learning models. One model is peer assessment. Despite positively impacting student learning, peer assessment uptake remains low, partly because designing…
Descriptors: College Students, COVID-19, Pandemics, Distance Education
Kamila Misiejuk; Jarle Bastesen; Tatiana Ershova – Innovations in Education and Teaching International, 2025
In this study, we explore the effects of self-reported or suspected generative artificial intelligence (GenAI) use in essay writing on peer assessment and revision patterns among a group of early student adopters. The data were collected from a higher education course, where students engaged in a group peer assessment activity, and analysed using…
Descriptors: Artificial Intelligence, Essays, Writing (Composition), Peer Evaluation
Lebedeva, Marina; Taranova, Marina; Beketov, Vladimir – Education and Information Technologies, 2023
The paper analyzes the teaching experiment regarding the use of mobile apps in the assessment of student learning. The study involved survey and self-description methods offered to students and instructors to assess the effectiveness of using mobile apps in learning. The study was conducted among 320 s-year students of the I.M. Sechenov First…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Student Evaluation
Neil Curry; Ward Peeters – TESOL in Context, 2025
Cognitive behaviour therapy (CBT) is a common and proven way to treat anxiety. In language learning settings, CBT has been shown to remedy students' anxiety and help them actively engage with a new language. However, research is inconclusive on how to best approach CBT-based interventions for language learning, and how to cater to students'…
Descriptors: Cognitive Restructuring, Second Language Learning, Anxiety, Speech Communication

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