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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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Bilal Saad Mayer – Discover Education, 2025
The transformative potential of Digital Informal Learning (DIL) is evident in fostering cross-cultural understanding, with a special focus on Arabic cultural education in this case. Drawing from the case of Learn Cultural Identity (LearnCuID) groups, which are informal online learning communities, the discussion highlights how digital platforms,…
Descriptors: Arabs, Information Technology, Transformative Learning, Self Concept
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Zhe Zhang; Ken Hyland – Computer Assisted Language Learning, 2025
Research on second language (L2) writing suggests that student engagement with automated writing evaluation (AWE) feedback is influenced by various individual and contextual factors. Little attention, however, has been given to the role that students' digital literacy can play in this process. Increasingly, digital literacy is becoming…
Descriptors: Writing Evaluation, Feedback (Response), Second Language Learning, Second Language Instruction
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Juliana do Amaral; Ladislao Salmerón; Davi Alves Oliveira – Journal of Computer Assisted Learning, 2025
Background: Misconceptions are unjustified beliefs about a topic. Nonetheless, they are pervasive among educational practitioners. Although the internet can be a powerful tool to learn and debunk misconceptions, their use requires competencies like navigating through search engine results pages (SERPs), evaluating the reliability of content, and…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Chinkina, Maria; Ruiz, Simón; Meurers, Detmar – ReCALL, 2020
How can state-of-the-art computational linguistic technology reduce the workload and increase the efficiency of language teachers? To address this question, we combine insights from research in second language acquisition and computational linguistics to automatically generate text-based questions to a given text. The questions are designed to…
Descriptors: Computational Linguistics, Computer Assisted Testing, Computer Assisted Instruction, Second Language Instruction
Ma, Yue; Fairlie, Robert W.; Loyalka, Prashant; Rozelle, Scott – National Bureau of Economic Research, 2020
EdTech which includes online education, computer assisted learning (CAL), and remote instruction was expanding rapidly even before the current full-scale substitution for in-person learning at all levels of education around the world because of the coronavirus pandemic. Studies of CAL interventions have consistently found large positive effects,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Program Effectiveness
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Ruslan Ramanau; Jane Hughes; Paul Grayson – Advances in Accounting Education: Teaching and Curriculum Innovations, 2020
In the last two decades, online computer-marked assignments (CMAs) have been widely used in accounting education. Although there is a growing body of research on this form of online assessment, most of the previous studies relied on small samples of respondents or focused on student self-report using survey methods. This exploratory mixed-method…
Descriptors: Computer Assisted Instruction, Online Courses, Accounting, Financial Audits
Wei, Shuang – ProQuest LLC, 2020
CAL (Computer Assisted Learning) programs are widespread today in schools and families due to the effectiveness of CAL programs in improving students' learning and task performance. The flourishing of CAL programs in education has brought large amounts of students' learning data including log data, performance data, mouse movement data, eye…
Descriptors: Visualization, Problem Solving, Elementary School Students, Computer Assisted Instruction
Nicholas Diana; John Stamper; Kenneth Koedinger – Grantee Submission, 2020
As the media landscape is increasingly populated by less than reputable sources of information, educators have turned to argument evaluation training as a potential solution. Unfortunately, the bias literature suggests that our ability to objectively evaluate an argument is, to a large extent, determined by the relationship between our own beliefs…
Descriptors: Evaluation Methods, Persuasive Discourse, Values, Teaching Methods
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Ebadi, Saman; Rasouli, Rezvan; Mohamadi, Mona – Interactive Learning Environments, 2023
Student response systems (SRS) have been used to provide teachers with immediate feedback on learners' performance to understand their weaknesses and strengths. This exploratory study is aimed at focusing on both distractive and facilitative aspects of using SRS in English as a foreign language (EFL) classes to assess learners' understanding of…
Descriptors: Foreign Countries, Undergraduate Students, Second Language Learning, English (Second Language)
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Wang, Tingting; Zheng, Juan; Tan, Chengyi; Lajoie, Susanne P. – Journal of Computer Assisted Learning, 2023
Background: Computer-based scaffolding has been intensively used to facilitate students' self-regulated learning (SRL). However, most previous studies investigated how computer-based scaffoldings affected the cognitive aspect of SRL, such as knowledge gains and understanding levels. In contrast, more evidence is needed to examine the effects of…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Computer Assisted Instruction, Intelligent Tutoring Systems
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Zengin, Yilmaz – International Journal for Technology in Mathematics Education, 2023
This study explores university students' understanding of the relationships between formal definitions of the limit of a function and the limit of a sequence in terms of the accumulation point in a technology-enhanced collaborative learning environment. The participants of this study are 17 prospective mathematics teachers. The data are collected…
Descriptors: Computer Software, Mathematics Instruction, Undergraduate Students, Concept Formation
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Yangin Ersanli, Ceylan – Novitas-ROYAL (Research on Youth and Language), 2023
The incorporation of technology has revolutionized the education industry, with augmented reality (AR) being one of the emerging technologies that exhibit great potential in educational settings. This study examines the efficacy of AR in enhancing vocabulary learning and retention among young 5th-grade learners. This study was conducted with 56…
Descriptors: Computer Simulation, Story Telling, Vocabulary Development, Retention (Psychology)
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Coleman, Philip; Hosein, Anesa – European Journal of Engineering Education, 2023
Laboratory tasks often focus on mechanical procedures leaving limited time and opportunities for students to build conceptual knowledge. We investigate to what extent introducing simulation tasks to preparation work can enable students to build their conceptual knowledge. We surveyed two cohorts of students taking an electronics module. Laboratory…
Descriptors: Learner Engagement, Engineering Education, Laboratory Experiments, Computer Simulation
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Hampshire, Patricia Korzekwa; Crawford, Michael; Sawyer, Mali – Journal of Special Education Technology, 2023
Since its inception, special education has historically been an underfunded federal mandate leaving states and school districts unable to offer more than a basic level of support for individuals with disabilities. The amount and frequency of time allotted for special services including Speech Therapy, Occupational Therapy, and Physical Therapy is…
Descriptors: Special Education, Elementary School Students, Computer Assisted Instruction, Writing Instruction
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