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Eriksson, Miikka; Kärkkäinen, Sirpa; Tahvanainen, Ville – Journal of Computer Assisted Learning, 2023
Background: Technologies may successfully be used to mediate, aid, and diversify learning, but several studies indicate that technologies cannot substitute outdoor learning and its experiential nature. To halt human-induced biodiversity loss, teachers should acquire a deep understanding of the principles of ecology, including the challenging…
Descriptors: Computer Assisted Instruction, Outdoor Education, Student Teachers, Biodiversity
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Victor K. Y. Chan – International Association for Development of the Information Society, 2024
This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Usability
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Raffaele Di Fuccio; Joanna Kic-Drgas; Joanna Wozniak – Smart Learning Environments, 2024
This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…
Descriptors: Computer Simulation, Computer Oriented Programs, Second Language Learning, Cultural Awareness
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Mengsiying Li; Tai Wang – Education and Information Technologies, 2024
Began with Computer-Assisted Language Learning (CALL) in the 1960s and extended to the widespread use of various Mobile-Assisted Language Learning (MALL) tools in education, language learning has embraced technology early on, achieved noticeable results, and found extensive practical use. However, due to the challenges in accessing user data from…
Descriptors: Learning Strategies, Language Acquisition, Computer Oriented Programs, Educational Technology
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Sinclair, Nathalie; Chorney, Sean; Günes, Canan; Bakos, Sandy – ZDM: Mathematics Education, 2020
Many studies have documented the challenges facing teachers who use digital technologies in their classrooms. This is especially true for digital technologies that offer new models or representations of school mathematics concepts. In this article, we report on a collaboration between teachers and researchers around the use of a novel touchscreen…
Descriptors: Computer Oriented Programs, Educational Technology, Computer Assisted Instruction, Mathematics Instruction
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Bahari, Akbar – Interactive Learning Environments, 2023
Second language teaching approaches that were originally proposed for classroom context are used for blended learning context as well as distance learning contexts regardless of their fundamental differences in terms of applicability, accessibility, objectives, designs and theoretical bases. Such theoretical and practical incompatibilities served…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Second Language Learning, English (Second Language)
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Hozak, Kurt – Journal of Education for Business, 2021
This article describes a web-based application that can be used to help teach linear programming (LP) using an active learning approach in business courses such as management science and decision analysis. The software asks 42 integrated questions that guide students in creating product mix models and performing related analysis in Excel with…
Descriptors: Computer Assisted Instruction, Computer Science Education, Programming, Computer Software
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Rogerson-Revell, Pamela M. – RELC Journal: A Journal of Language Teaching and Research, 2021
This viewpoint essay considers the current status of computer-assisted pronunciation training (CAPT) before examining some of the current issues and future directions in the field. The underlying premise is the pedagogic potential of CAPT systems and resources for teaching and learning, and the need for greater synergy between technological design…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Individualized Instruction, Feedback (Response)
Lori Lye – ProQuest LLC, 2021
Duolingo is arguably the most popular language learning app available today, as measured by its metric of achieving 500 million downloads in 2020, yet remarkably little research has been conducted regarding its implementation or efficacy as a language-learning tool. The handful of studies that do exist have found positive outcomes, although…
Descriptors: Language Acquisition, Handheld Devices, Telecommunications, Computer Oriented Programs
Cao, Yang – ProQuest LLC, 2019
Three studies were conducted to explore machine learning support of novel learning problems. The first was a study of a computer-supported online learning website, which was designed to support teachers improving their pedagogy and this work created a data-first approach for Linguistic pedagogy, and to support improved pedagogy delivery and…
Descriptors: Artificial Intelligence, Web Sites, Teacher Improvement, Instructional Improvement
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Ward, Monica – Research-publishing.net, 2019
Intelligent Computer-Assisted Language Learning (ICALL) involves using tools and techniques from computational linguistics and Natural Language Processing (NLP) in the language learning process. It is an inherently complex endeavour and is multi-, inter-, and trans-disciplinary in nature. Often these tools and techniques are designed for tasks and…
Descriptors: Educational Technology, Technology Uses in Education, Computer Assisted Instruction, Second Language Instruction
Faria, Ann-Marie; Bergey, Rebecca; Baird, Ashley Simpson; Lishinski, Alex – American Institutes for Research, 2019
Although English language learners (ELLs) have an increasing presence in postsecondary education, their unique needs are often unmet by institutions of higher education, partly resulting from their diversity--they vary in their educational backgrounds, English proficiency levels, career goals, and reasons for learning English. Many ELLs spend…
Descriptors: Educational Technology, English Language Learners, Higher Education, Language Proficiency
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Bontogon, Megan; Arppe, Antti; Antonsen, Lene; Thunder, Dorothy; Lachler, Jordan – Canadian Modern Language Review, 2018
Intelligent computer assisted language learning (ICALL) applications for Indigenous languages are a relatively new avenue for computer assisted language learning (CALL). CALL allows language learners to practise a wide range of grammatical exercises and receive feedback on their answers outside of class time. ICALL is essential for dynamically…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Computer Assisted Instruction
Waiganjo, Iyaloo Ndapandula; Paxula, Gabriel – Online Submission, 2020
The purpose of the study was to describe teachers' perceptions on the use of technology in teaching and learning, teachers who are teaching at the secondary level in rural area schools of Namibia. This research used a qualitative case study research design to describe secondary school teachers' viewpoints on the use of technology and, their…
Descriptors: Foreign Countries, Teacher Attitudes, Educational Technology, Technology Uses in Education
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Fessl, Angela; Wesiak, Gudrun; Rivera-Pelayo, Verónica; Feyertag, Sandra; Pammer, Viktoria – IEEE Transactions on Learning Technologies, 2017
This paper presents a concept for in-app reflection guidance and its evaluation in four work-related field trials. By synthesizing across four field trials, we can show that computer-based reflection guidance can function in the workplace, in the sense of being accepted as technology, being perceived as useful and leading to reflective learning.…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Workplace Learning, Reflection
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