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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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Haruo Kodama; Motofumi T. Suzuki; Yoshitomo Yaginuma – Asian Association of Open Universities Journal, 2024
Purpose: The purpose of this paper is to propose the need for an integrated system for the production, authoring, addition and revision of webcast content and a multi-device apps mechanism with rights management for Internet transmission in the perspective of the OUJ course reuse. Design/methodology/approach: This paper designs systems that reuse…
Descriptors: Open Universities, Computer Oriented Programs, Multimedia Materials, Video Technology
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Yifan Li; Anmin Liu; Runming Si; Leyan Liu; Qidong Zhao – Journal of Chemical Education, 2024
The plate and frame filtration experiment is one of the essential experiments performed by undergraduate students during their practical education. While this experiment often relies on the conventional manual recording of data and calculation, there are frequent problems with data collection because capturing transient data of filtrate volume and…
Descriptors: Internet, Automation, Undergraduate Study, College Science
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Faozi, Ferdinand Hanif; Handayani, Putu Wuri – Electronic Journal of e-Learning, 2023
The purpose of the research is to analyze the factors that influence the continuance intention to use Mobile-Assisted Language Learning (MALL) applications in the context of language courses in Indonesia. The study aims to understand the key factors that contribute to users' intention to continue using MALL applications, particularly in the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, Intention
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Shortt, Mitchell; Tilak, Shantanu; Kuznetcova, Irina; Martens, Bethany; Akinkuolie, Babatunde – Computer Assisted Language Learning, 2023
More than 300 million people use the gamified mobile-assisted language learning (MALL) application (app) Duolingo. The challenging tasks, reward incentives, systematic levels, and the ranking of users according to their achievements are just some of the elements that demonstrate strong gamification elements within this popular language learning…
Descriptors: Gamification, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Chun-Chun Chang; Gwo-Jen Hwang; Yun-Fang Tu; Chiu-Lin Lai; Biyun Huang – Interactive Learning Environments, 2024
In recent years, smart healthcare technologies used to facilitate precision medicine in clinical practice have increasingly become a topic of discussion. Nurses and nurse preceptors are critical professionals in hospitals, and are also the frontline staff using smart healthcare. The purpose of this study was to investigate nurses' and nurse…
Descriptors: Foreign Countries, Nurses, Practicum Supervision, Professional Personnel
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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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Serdar Tekin – Journal of Learning and Teaching in Digital Age, 2024
The enormous developments in technology and hence the widespread use of hand-held devices in the last few decades have led to great interest in mobile-assisted language learning (MALL) as a new way of language education. MALL is considered an effective method particularly for young language learners due to their higher level of familiarity with…
Descriptors: Computer Assisted Instruction, Second Language Learning, Ethics, Quasiexperimental Design
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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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Amarasinghe, Ishari; Hernández-Leo, Davinia; Ulrich Hoppe, H. – International Journal of Computer-Supported Collaborative Learning, 2021
Under the notion of "CSCL scripts", different pedagogical models for structuring and supporting collaboration in the classroom have been proposed. We report on a practical experience with scripts based on the Pyramid collaborative learning flow pattern supported by a specific classroom tool and a teacher-facing dashboard that implements…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Scripts, Learning Analytics
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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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Bilgin, Enes Abdurrahman – International Journal of Education and Literacy Studies, 2021
In today's world, educated individuals are expected to understand basic statistical concepts and interpret statistical messages. For this reason, despite the undeniable importance of statistical literacy in the educational process, studies on undergraduate and postgraduate students in practice reveal that students have difficulties in determining…
Descriptors: Computer Uses in Education, Computer Software, Statistics, Literacy
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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