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Sarah Seeley; Michael Cournoyea – Teaching & Learning Inquiry, 2025
Qualitative studies that examine the impact of generative AI technologies on higher education remain scant. Whether it is the ethical dimensions of modeling human emotions within these technologies or the authentic emotional reactions to these technologies and their outputs--emotionality is at the centre of generative AI discourse. This paper…
Descriptors: Robotics, Artificial Intelligence, Technology Uses in Education, Psychological Patterns
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Ivan Danar Aditya Irawan; Sentot Kusairi; Khusaini; Nur Akhyar Basri; Revnika Faizah; Muhammad Habibbulloh – Science Education International, 2025
In physics learning that emphasizes a student-centered approach, formative feedback strategically improves students' conceptual understanding and learning motivation. However, implementing feedback in the learning environment still faces various obstacles, including time constraints, many students, and a lack of personalization in its delivery.…
Descriptors: Physics, Formative Evaluation, Feedback (Response), Student Needs
Dorottya Demszky; Jing Liu; Heather C. Hill; Shyamoli Sanghi; Ariel Chung – Annenberg Institute for School Reform at Brown University, 2023
While recent studies have demonstrated the potential of automated feedback to enhance teacher instruction in virtual settings, its efficacy in traditional classrooms remains unexplored. In collaboration with TeachFX, we conducted a pre-registered randomized controlled trial involving 523 Utah mathematics and science teachers to assess the impact…
Descriptors: Elementary Secondary Education, Mathematics Teachers, Science Teachers, Automation
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Salbas, Hanife; Ekmekçi, Emrah – Journal on English Language Teaching, 2022
Computer-Assisted Language Learning (CALL) has evolved into an integral part of today's classrooms as a direct result of technological advancements. One of the most remarkable outcomes of CALL is the widespread use of Computer-Mediated Feedback (CMF) in classrooms. Notwithstanding that the previous studies have offered an insight into CMF, it has…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Yang Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
With the rapid advancement of information technology, the Intelligent Teaching System (ITS) has emerged as a pivotal tool in mathematics education. This paper aims to evaluate the effectiveness of ITS by exploring its impact on personalized learning, increased student interaction and participation, intelligent assessment and feedback, teacher…
Descriptors: Learning Management Systems, Mathematics Education, Technology Uses in Education, Student Participation
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Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
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Bahman Gorgian; Farzaneh Mir; Batool Nasiri – Iranian Journal of Language Teaching Research, 2025
The evaluation of in-service teacher educators ' feedback on using Computer-Assisted Language Learning (CALL) processes is important for providing educational policymakers with the strengths and weaknesses of the Vadana platform. It proposes an integrated CALL evaluation scale (ICES) eliciting the in-service teacher educators' literacy of using…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teacher Educators
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Hadjerrouit, Said; Nnagbo, Celestine Ifeanyi – International Association for Development of the Information Society, 2021
The purpose of this article is to explore students' and teachers' perceptions of affordances, and their actualization while interacting with the e-assessment system Numbas and its effect in terms of formative feedback delivery. The article uses affordance theory and a qualitative research design approach to analyze data using semi-structured…
Descriptors: Student Attitudes, Teacher Attitudes, Affordances, Formative Evaluation
McKenzie, Paul; Cook, Sally; Roulston, Stephen – Geography Teacher, 2022
A geographic information system (GIS) can be defined as a computer-based system that enables the collection, management, analysis, visualization, and sharing of spatial data. As this technology is a fundamental and fast-growing part of the global economy, there is a growing global demand for a skilled workforce that can use it to address an array…
Descriptors: Geographic Information Systems, Teaching Methods, Barriers, Undergraduate Students
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Abdelghani Es-Sarghini; Abdelaziz Boumahdi – Australian Journal of Applied Linguistics, 2025
The assessment of writing competency in French as a Foreign Language presents significant challenges due to the multidimensional nature of writing and heterogeneous evaluation practices. This research introduces an innovative framework integrating artificial intelligence and interactive visualization to support the formative assessment of writing…
Descriptors: French, Second Language Learning, Second Language Instruction, Artificial Intelligence
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Byfield, Victoria; Berrisford, Chloe; Herbert, Polly – FORUM: for promoting 3-19 comprehensive education, 2021
This article focuses on the delivery of two primary English workshops delivered on the BA Primary (with QTS) degree course to first year trainees studying in the School of Education at University of Brighton. These interactive sessions include practical activity, specifically drama, and are typically delivered on campus. This is a significant…
Descriptors: Teacher Education Programs, Undergraduate Students, Elementary School Teachers, Drama
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Özer, Seda; Akay, Cenk – Journal on School Educational Technology, 2023
Mobile Assisted Language Learning (MALL) is an innovative approach to language learning that utilizes mobile devices, such as smartphones and tablets, to support language learning. MALL has become increasingly popular in recent years due to the widespread availability of mobile devices and the flexibility they offer for language learning. The aim…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Handheld Devices
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Slakmon, Benzi; Schwarz, Baruch B. – International Journal of Computer-Supported Collaborative Learning, 2019
High-quality talk about issues that raise high-intensity emotions in the public sphere is timely needed. Still, researchers committed to the fostering of high-quality types of school talk generally disregard the role of emotions. We show that this disregard is not accidental and that it conveys a customary reluctance in schools to consider the…
Descriptors: Interpersonal Communication, Emotional Response, Self Control, Interaction
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Gu, Lin; Davis, Larry; Tao, Jacob; Zechner, Klaus – Assessment in Education: Principles, Policy & Practice, 2021
Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…
Descriptors: Audio Equipment, Test Preparation, Feedback (Response), Scores
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Wilson, Joshua; Roscoe, Rod D. – Journal of Educational Computing Research, 2020
The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used "Project Essay Grade Writing" (n = 56) or a word-processing condition that used Google Docs (n = 58). Effectiveness was evaluated using multiple metrics:…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Instructional Effectiveness
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