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Katharina Alexandra Whalen; Alexander Renkl; Alexander Eitel; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: Students often show unfavourable attribution: they attribute poor school performance to stable factors such as lack of ability and good school performance to variable factors such as effort. However, attribution can be influenced by individualized digital re-attributional feedback leading to positive motivational effects and higher…
Descriptors: Feedback (Response), Computer Mediated Communication, Secondary School Mathematics, Student Motivation
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Rashmi Khazanchi; Daniele Di Mitri; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics…
Descriptors: Mathematics Achievement, Rural Areas, Artificial Intelligence, Individualized Instruction
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John L. Nietfeld; Kristin F. Hoffmann – Journal of Computer Assisted Learning, 2024
Background: Goal setting has been established in the literature as a critical component of self-regulated learning and for effective problem-solving. Yet, surprisingly little attention has been focused on goal-directed behaviour in digital game-based learning environments (GBLEs) despite their expanding use in educational contexts. Objectives: The…
Descriptors: Game Based Learning, Educational Environment, Goal Orientation, Electronic Learning
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Bressler, Denise M.; Bodzin, Alec M.; Tutwiler, Michael Shane – Journal of Computer Assisted Learning, 2019
Previous research using collaborative mobile augmented reality games in science education revealed that such games can be used to promote learner engagement and have found that engagement in such mobile games is related to flow. This study investigated whether player's flow experience differed by achievement track, gender, or gender composition of…
Descriptors: Middle School Students, Grade 8, Science Instruction, Telecommunications
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Aung, Zaw Htet; Sanium, Soonthareeya; Songsaksuppachok, Chuenchat; Kusakunniran, Worapan; Precharattana, Monamorn; Chuechote, Suparat; Pongsanon, Khemmawadee; Ritthipravat, Panrasee – Journal of Computer Assisted Learning, 2022
Background: Artificial intelligence (AI) has gained increasing popularity in human society, and it is important to educate people about this emerging technology. Many countries have adopted school curricula to incorporate AI into their classrooms. However, developing tools for discovering AI concepts remains challenging. There are few studies on…
Descriptors: Artificial Intelligence, Junior High School Students, Grade 7, Grade 8
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Abed, Fayez; Barzilai, Sarit – Journal of Computer Assisted Learning, 2023
Background: YouTube is widely used for learning about scientific issues in and out of school. However, much of the scientific information on YouTube is inaccurate. Prior studies have mostly focused on how students evaluate textual online information sources and have not yet systematically examined how they evaluate authentic scientific YouTube…
Descriptors: Video Technology, Web Sites, Evaluative Thinking, Scientific and Technical Information
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Ndudi O. Ezeamuzie; Jessica S. C. Leung; Dennis C. L. Fung; Mercy N. Ezeamuzie – Journal of Computer Assisted Learning, 2024
Background: Computational thinking is derived from arguments that the underlying practices in computer science augment problem-solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational…
Descriptors: Educational Policy, Predictor Variables, Computation, Thinking Skills
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Ghanaat Pisheh, Etrat AlZahra; NejatyJahromy, Yaser; Gargari, Rahim Badri; Hashemi, Touraj; Fathi-Azar, Eskandar – Journal of Computer Assisted Learning, 2019
The effect of the implementation of student response systems (SRSs) in teaching on the critical thinking (CT) of young students was investigated. The study benefited from a quasi-experimental design and a pretest/posttest set-up. Subjects consisted of 156 K-8 students in Tehran during 2016-2017, selected through a multistage cluster sampling, and…
Descriptors: Audience Response Systems, Handheld Devices, Educational Technology, Elementary Education
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Nachmias, R.; Mioduser, D.; Forkosh-Baruch, A. – Journal of Computer Assisted Learning, 2010
Closing educational gaps between sub-populations in Israel, particularly between students in Hebrew-speaking and Arabic-speaking schools, persists to be one of the priorities of Israel's education system. In the field of information and communication technology (ICT), this goal refers to infrastructure as well as practice, i.e. teaching and…
Descriptors: Semitic Languages, Technology Uses in Education, Use Studies, Educational Practices
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Voogt, J. – Journal of Computer Assisted Learning, 2010
Second Information Technology in Education Study (SITES) 2006 was an international study about pedagogical practices and the use of information and communication technology (ICT) in math and science classrooms. One of the findings of SITES 2006 was that--across educational systems--a proportion of the math and science teachers in the 22 countries…
Descriptors: Educational Innovation, Educational Objectives, Educational Practices, Science Teachers