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Wei Xu; Le-Ying Yang; Xiao Liu; Pin-Nv Jin – Education and Information Technologies, 2024
Teacher feedback is the key to online collaborative discussion. To investigate the effects of different forms of teacher feedback intervention on learners' cognitive and emotional interactions in online collaborative discussion, this study collected collaborative discussion text data of online collaborative learners. Based on the framework of…
Descriptors: Feedback (Response), Teacher Student Relationship, Communities of Practice, Cooperative Learning
Rachel S. Fisher; Taylor M. Dattilo; Katherine A. Traino; Lucia Ciciolla; John M. Chaney; Larry L. Mullins – Journal of American College Health, 2025
Objective: Investigate the sleep hygiene and quality of emerging adults with a CMC compared to healthy peers as well as potential predictors of sleep quality. Participants: College students with and without a CMC (n = 137 per group; aged 18-23 years) at a Midwestern university. Methods: Participants reported on anxious and depressive symptoms,…
Descriptors: Sleep, Chronic Illness, College Students, Symptoms (Individual Disorders)
Janson, Marc P.; Siebert, Jan; Dickhäuser, Oliver – International Journal of Educational Technology in Higher Education, 2022
Performance evaluation is based on comparison standards. Results can either be contrasted to former results (temporal comparison) or results of others (social comparison). Existing literature analyzed potential effects of teachers' stable preferences for comparison standards on students' learning outcomes. The present experiments investigated…
Descriptors: Feedback (Response), Electronic Learning, Time Perspective, Social Behavior
Yen-Jung Chen; Liwei Hsu; Shao-wei Lu – Computer Assisted Language Learning, 2024
It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…
Descriptors: Visual Aids, English (Second Language), Second Language Learning, Feedback (Response)
Nicol, David – Assessment & Evaluation in Higher Education, 2021
Students generate internal feedback by comparing their current knowledge against some reference information. That information might be planned for by teachers -- usually as comments on students' performance -- although most information is accessed by students themselves during task engagement, from their interactions with others, with resources…
Descriptors: Feedback (Response), Comparative Analysis, Models, Learning
Papadopoulos, Pantelis M.; Natsis, Antonis; Obwegeser, Nikolaus; Weinberger, Armin – Journal of Computer Assisted Learning, 2019
The aim of the present study (n = 113) was to examine how (objective and subjective) information on peers' preparation, confidence, and past performance can support students in answering correctly in audience response systems (aka clickers). The result analysis shows that in the "challenging" questions, in which answers diverged,…
Descriptors: Feedback (Response), Audience Response Systems, Self Esteem, Student Attitudes
Dan Sun; Azzeddine Boudouaia; Chengcong Zhu; Yan Li – International Journal of Educational Technology in Higher Education, 2024
ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of ChatGPT on learners' programming processes. This…
Descriptors: Computer Science Education, Computer Software, Feedback (Response), Artificial Intelligence
Bowles, Melissa A.; Gastañaga, Kacie – Studies in Second Language Learning and Teaching, 2022
This study compares the processing of three different types of written corrective feedback (WCF) by heritage language (HL), second language (L2), and third language (L3) learners who wrote and revised three short essays and received a different type of WCF for each essay (i.e., direct, coding, or underlining). Comparison of pre- and post-feedback…
Descriptors: Native Language, Second Language Learning, Cognitive Processes, Written Language
Chen, Huimei; Pan, Jie – Asian-Pacific Journal of Second and Foreign Language Education, 2022
The role of internet technology in higher education and particularly in teaching English as a Foreign language is increasingly prominent because of the interest in the ways in which technology can be applied to support students. The automated evaluation scoring system is a typical demonstration of the application of network technology in the…
Descriptors: Comparative Analysis, Automation, Scoring, Feedback (Response)
Tingting Zhu; Rutwa Engineer; Xaria Prempeh; Anna Ly; Michelle Craig; Andrew Petersen – Discover Education, 2025
The lack of diversity in science, technology, engineering, and mathematics (STEM) fields is a vital issue that carries into the workforce. This study aims to enhance underrepresented students' learning experience and emotional engagement by replacing mathematical abstractions with physical analogues. In the context of a post-secondary STEM course,…
Descriptors: Comparative Analysis, Video Technology, Learner Engagement, Emotional Response
Robie, Chet; Meade, Adam W.; Risavy, Stephen D.; Rasheed, Sabah – Educational and Psychological Measurement, 2022
The effects of different response option orders on survey responses have been studied extensively. The typical research design involves examining the differences in response characteristics between conditions with the same item stems and response option orders that differ in valence--either incrementally arranged (e.g., strongly disagree to…
Descriptors: Likert Scales, Psychometrics, Surveys, Responses
Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
Zhao Shurong; Song Junxia – SAGE Open, 2025
Emotional experiences significantly affect students' health, learning outcomes, productivity, and social interactions. Therefore, investigating learners' emotional experiences in typical technology-related scenarios during the information age is crucial and meaningful. Utilizing assessment to bridge online and offline activities serves as a…
Descriptors: Emotional Experience, Blended Learning, College Students, Online Courses
Emilia Gracia – ProQuest LLC, 2024
This study examines the impact of High-Immersion Virtual Reality (HiVR) as a tool for teaching English L2 pragmatics to international students enrolled in an Intensive English Program at a US university. This research focuses on integrating HiVR into explicit L2 pragmatics instructional treatments. A quasi-experimental design was employed to…
Descriptors: Intensive Language Courses, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
van Blankenstein, Floris M.; Tru?escu, Gabriela-Olivia; van der Rijst, Roeland M.; Saab, Nadira – Instructional Science: An International Journal of the Learning Sciences, 2019
The learning benefits of peer assessment and providing peer feedback have been widely reported. However, it is still not understood which learning activities most facilitate the acquisition of feedback skills. This study aimed to compare the effect of a modeling example, i.e., a model that demonstrated how to give feedback, on the acquisition of…
Descriptors: Models, Feedback (Response), Peer Evaluation, Comparative Analysis