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Showing 1 to 15 of 155 results Save | Export
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Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
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Yanping Geng; Reem Alshahrani; Hana Mohammed Mujlid – European Journal of Education, 2025
The Fuzzy Analytic Hierarchy Process (FAHP) was employed to evaluate and rank language-learning applications based on criteria such as engagement, interactivity, feedback, content quality and usability. A pairwise comparison matrix was constructed, fuzzy logic was applied to convert qualitative judgements into numerical values, and these values…
Descriptors: Second Language Learning, Social Media, Handheld Devices, Computer Software
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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
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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
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Orit Zeevy Solovey – Technology in Language Teaching & Learning, 2024
The effectiveness of providing Written Corrective Feedback (WCF) in English as a Foreign Language (EFL) classrooms to enhance students' general writing skills has been well-established. With the advent of various feedback modes in modern classrooms, this pilot study aimed to explore EFL students' perceptions and preferences regarding the…
Descriptors: Peer Evaluation, Feedback (Response), Artificial Intelligence, Synchronous Communication
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Hanne Roothooft; Amparo Lázaro-Ibarrola; Bram Bulté – Language Teaching Research, 2025
Second language (L2) writing research has demonstrated that young learners discuss linguistic issues, make use of feedback, and show a generally positive disposition toward writing tasks. However, many issues deserve further investigation. Regarding task implementation, few studies have been conducted with young learners writing individually, and…
Descriptors: Error Correction, Feedback (Response), Accuracy, Writing Instruction
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Taylor, Gemma; Kolak, Joanna; Bent, Eve M.; Monaghan, Padraic – British Journal of Educational Technology, 2022
In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2-4-year-olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational…
Descriptors: Computer Software, Preschool Children, Psycholinguistics, Feedback (Response)
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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
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Iraya Yánez-Pérez; Radu Bogdan Toma; Jesús Ángel Meneses-Villagrá – School Science and Mathematics, 2025
Teachers often struggle to implement inquiry-based science teaching. To support them, IndagApp--a 3D educational app that offers curriculum-aligned, inquiry-based lesson plans--was designed. The app is rooted in the inquiry phases recommended in best-practices literature, which arguably align with most international standards. This study describes…
Descriptors: Usability, Computer Software, Private Schools, Public Schools
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Hao, Qiang; Smith, David H., IV; Ding, Lu; Ko, Amy; Ottaway, Camille; Wilson, Jack; Arakawa, Kai H.; Turcan, Alistair; Poehlman, Timothy; Greer, Tyler – Computer Science Education, 2022
Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…
Descriptors: Computer Science Education, Feedback (Response), Teaching Methods, Comparative Analysis
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Han, Ahyoung; Wohn, Kwangyun; Ahn, Jaehong – International Journal of Technology and Design Education, 2021
Fashion designers in the digital era will be expected to have a profound knowledge of programming and physical computing. Therefore, finding effective methods to adopt E-textiles in fashion education is developing imperative furtherance. E-textiles are clothes embedded with microcomputers, digital components (sensor, LED), and other electronic…
Descriptors: Clothing, Teaching Methods, Feedback (Response), Programming
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Wendy James; Grainne Oates; Nikki Schonfeldt – Accounting Education, 2025
There is growing support to the argument that effective use of technology in blended learning initiatives, such as gamification, can influence student retention and combat low levels of student engagement as well as improve academic performance. The aim of this study is to investigate the effectiveness of a gamified mobile application (GMA)…
Descriptors: Accounting, Business Education, Learner Engagement, Instructional Materials
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Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2022
Providing timely feedback is crucial in promoting academic achievement and student success. However, for multifarious reasons (e.g., limited teaching resources), feedback often arrives too late for learners to act on the feedback and improve learning. Thus, automated feedback systems have emerged to tackle educational tasks in various domains,…
Descriptors: Student Projects, Feedback (Response), Natural Language Processing, Guidelines
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Kamen T. Engel; Jonathan Davidson; Alison Jolley; Ben Kennedy; Alexander R. L. Nichols – Journal of Geoscience Education, 2024
A virtual microscope resource was created when face-to-face labs were halted due to the COVID-19 pandemic in March 2020 to replicate the learning goals of an introductory petrology course on microscopy. This virtual microscope resource utilized images and videos of thin sections, as well as 3D rock models to allow students to complete labs online.…
Descriptors: Laboratory Equipment, Blended Learning, Science Laboratories, Geology
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Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
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