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Showing 301 to 315 of 791 results Save | Export
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ElSayary, Areej – Journal of Computer Assisted Learning, 2023
Background: The emergence of remote teaching during the Coronavirus (COVID-19) pandemic caused several gaps due to teachers being unprepared to teach online. Teachers did not achieve many digital competencies, resulting in an inability to facilitate the students' learning by using technology creatively to overcome challenges. Accordingly,…
Descriptors: Skill Development, Job Training, Faculty Development, Teacher Competencies
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Pietarinen, Tarja; Vauras, Marja; Laakkonen, Eero; Kinnunen, Riitta; Volet, Simone – Journal of Computer Assisted Learning, 2019
This study examined affect during high school students' face-to-face collaborative inquiry learning in science, supported by the web-based software Virtual Baltic Sea Explorer. Self-reported affective states during the inquiry process in peer groups were related to evaluations of a group's collaboration and performance in three phases of…
Descriptors: High School Students, Inquiry, Cooperative Learning, Educational Technology
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Valtonen, Teemu; Kukkonen, Jari; Kontkanen, Sini; Mäkitalo-Siegl, Kati; Sointu, Erkko – Journal of Computer Assisted Learning, 2018
The aim of this paper is to provide insights into differences between pre-service teachers based on the areas of technological pedagogical content knowledge (TPACK) and the areas of theory of planned behaviour (TPB) in the context of using information and communication technology in education. The target group consisted of 267 first-year…
Descriptors: Preservice Teachers, Technological Literacy, Technology Integration, Educational Technology
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Endres, Tino; Weyreter, Steffen; Renkl, Alexander; Eitel, Alexander – Journal of Computer Assisted Learning, 2020
Multiple studies have revealed the beneficial effects of emotional design on affective or motivational factors but not often on learning outcomes. We, therefore, tested one important boundary condition: the duration of the learning episode. For the implementation of emotional design, we used the video format of sketched explanation videos, which…
Descriptors: Design, Emotional Response, Video Technology, Learning Motivation
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Martin Merkt; Daniel Bodemer – Journal of Computer Assisted Learning, 2024
Background: When watching educational online videos, learners need to determine whether the videos' contents are suitable for learning. Whereas this may induce metacognitive monitoring processes, it may also distract learners from the learning materials. Objectives: In the current set of experiments, we investigated whether asking participants to…
Descriptors: Video Technology, Teaching Methods, Metacognition, Instructional Materials
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Novak, Elena; Mulvey, Bridget K. – Journal of Computer Assisted Learning, 2021
There is growing demand in our society to cultivate creativity and foster innovation. Design thinking has been successfully practiced as an educational framework for supporting innovation in educational and work contexts. However, research on design thinking education that facilitates the acquisition of knowledge related to design process and…
Descriptors: Design, Innovation, Educational Technology, Instructional Design
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Asare, Andy Ohemeng; Yap, Robin; Truong, Ngoc; Sarpong, Eric Ohemeng – Journal of Computer Assisted Learning, 2021
The current educational disruption caused by the COVID-19 pandemic has fuelled a plethora of investments and the use of educational technologies for Emergency Remote Learning (ERL). Despite the significance of online learning for ERL across most educational institutions, there are wide mixed perceptions about online learning during this pandemic.…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
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Lahza, Hatim; Khosravi, Hassan; Demartini, Gianluca – Journal of Computer Assisted Learning, 2023
Background: The use of crowdsourcing in a pedagogically supported form to partner with learners in developing novel content is emerging as a viable approach for engaging students in higher-order learning at scale. However, how students behave in this form of crowdsourcing, referred to as learnersourcing, is still insufficiently explored.…
Descriptors: Learning Analytics, Learning Strategies, Electronic Learning, Independent Study
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Wang, Jingxian; Tigelaar, Dineke E. H.; Zhou, Tian; Admiraal, Wilfried – Journal of Computer Assisted Learning, 2023
Background: The impact of mobile technology usage on student learning in various educational stages has been the subject of ongoing empirical and review research. The most recent meta-analyses on various types of mobile technology use for potential benefits of learning covered the empirical studies up to about nine years ago. Since then, the use…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Elementary Secondary Education
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Zhidkikh, Denis; Saarela, Mirka; Kärkkäinen, Tommi – Journal of Computer Assisted Learning, 2023
Background: Measurement of students' self-regulation skills is an active topic in education research, as effective assessment helps devising support interventions to foster academic achievement. Measures based on event tracing usually require large amounts of data (e.g., MOOCs and large courses), while aptitude measures are often qualitative and…
Descriptors: Independent Study, Junior High School Students, Secondary School Mathematics, Mathematics Education
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Yorganci, Serpil – Journal of Computer Assisted Learning, 2022
Background: Continuous advances in mobile and multimedia technologies have increased interest in the use of e-books in educational settings. Objectives: The current study investigated how the e-book technology and different types of feedback influenced the learning, motivation, and cognitive load of students within the differentiation unit of…
Descriptors: Books, Electronic Publishing, Video Technology, Feedback (Response)
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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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Angxuan Chen; Yuyue Zhang; Jiyou Jia; Min Liang; Yingying Cha; Cher Ping Lim – Journal of Computer Assisted Learning, 2025
Background: Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Language Tests
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Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Chia-Ju Lin; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives: This study introduces PA-GPT,…
Descriptors: Peer Evaluation, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Xinli Zhang; Ruiting Huang; Ruihua Zhang; Mingyi Li; Yun-Fang Tu; Yuchen Chen; Lailin Hu; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2025
Background: Primary school is key to developing writing skills. However, students may face challenges in identifying and revising articles due to weak language skills, organisational thinking, comprehension, and analytical skills. Therefore, improving the writing skills of primary school students with writing difficulties has become important.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Revision (Written Composition), Elementary School Students
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