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Showing 46 to 60 of 181 results Save | Export
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Sun, Lihui; Hu, Linlin; Yang, Weipeng; Zhou, Danhua; Wang, Xiaoqian – Journal of Computer Assisted Learning, 2021
Computational thinking (CT) plays a vital role in the fields of science, technology, engineering and mathematics (STEM). However, whether students' learning attitude towards STEM is related to their CT skills remains unknown. Two studies were conducted to address this knowledge gap. In Study 1, we validated a newly developed STEM learning attitude…
Descriptors: STEM Education, Predictor Variables, Computer Science, Thinking Skills
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van den Berghe, Rianne; de Haas, Mirjam; Oudgenoeg-Paz, Ora; Krahmer, Emiel; Verhagen, Josje; Vogt, Paul; Willemsen, Bram; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
This study investigates the degree to which children anthropomorphize a robot tutor and whether this anthropomorphism relates to their vocabulary learning in a second-language (L2) tutoring intervention. With this aim, an anthropomorphism questionnaire was administered to 5-year-old children (N = 104) twice: prior to and following a seven-session…
Descriptors: Young Children, Robotics, Vocabulary Development, Teaching Methods
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Mize, Min; Park, Yujeong – Journal of Computer Assisted Learning, 2021
The purpose of this study was to investigate the effect of iPad-assisted reading instruction for fourth-grade students' oral reading fluency and their attitudes towards reading. Three fourth-grade students at-risk for reading disabilities participated in an iPad-assisted repeated reading programme that integrated repeated reading, vocabulary…
Descriptors: Grade 4, Elementary School Students, Reading Difficulties, Reading Instruction
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Zhang, Yining; Lin, Chin-Hsi – Journal of Computer Assisted Learning, 2021
This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of…
Descriptors: Mentors, Communities of Practice, Metacognition, Self Efficacy
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Mangaroska, Katerina; Martinez-Maldonado, Roberto; Vesin, Boban; Gaševic, Dragan – Journal of Computer Assisted Learning, 2021
Multimodal data have the potential to explore emerging learning practices that extend human cognitive capacities. A critical issue stretching in many multimodal learning analytics (MLA) systems and studies is the current focus aimed at supporting researchers to model learner behaviours, rather than directly supporting learners. Moreover, many MLA…
Descriptors: Computer Science Education, Student Attitudes, Learning Modalities, Learning Analytics
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Torrington, Jodie; Bower, Matt – Journal of Computer Assisted Learning, 2021
Despite the proliferation of multimedia devices in elementary classrooms, there is limited research examining teacher-created video instruction, particularly regarding its effect on academic growth and engagement. This study investigated the effect of teacher-created computer-based video instruction (CBVI) using iPads on students' academic,…
Descriptors: Elementary School Teachers, Teacher Developed Materials, Film Production, Video Technology
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Hämäläinen, Elina K.; Kiili, Carita; Räikkönen, Eija; Marttunen, Miika – Journal of Computer Assisted Learning, 2021
Previous evaluation studies have rarely used authentic online texts and investigated upper secondary school students' use of evaluation criteria and deep reasoning. The associations between internet-specific epistemic justifications for knowing and credibility evaluation of online texts are not yet fully understood among adolescents. This study…
Descriptors: Electronic Publishing, Internet, Secondary School Students, Evaluation
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Lakhal, Sawsen; Mukamurera, Joséphine; Bédard, Marie-Eve; Heilporn, Géraldine; Chauret, Mélodie – Journal of Computer Assisted Learning, 2021
Blended synchronous learning (BSL) represents several contexts that enable to bring remote students into the classroom, in real time, by the means of videoconferencing, web conferencing and virtual world. As BSL seems to be more and more implemented in many higher education institutions, especially in the current context of the COVID-19 pandemic,…
Descriptors: Foreign Countries, Blended Learning, Synchronous Communication, Teleconferencing
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Gao, Fei; Zhao, Na; Li, Xiumei – Journal of Computer Assisted Learning, 2020
This study was conducted to examine how a collaborative social annotation tool can be used to support collaborative learning in translation instruction for EFL students. Participants were 100 undergraduate students who were English majors in a southeast university in China. An experiment with crossover design was carried out to examine the…
Descriptors: Translation, Student Motivation, Student Attitudes, Cooperative Learning
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Van Ginkel, Stan; Ruiz, Dominic; Mononen, Asko; Karaman, Cendel; de Keijzer, Ander; Sitthiworachart, Jirarat – Journal of Computer Assisted Learning, 2020
Feedback plays a central role in learning. Crucial to this is the nature and timing of the feedback. This experimental study explores the efficacy of immediate computer-mediated feedback within a virtual reality environment designed to facilitate the development of pre-university students' presentation skills. Two conditions were established to…
Descriptors: Feedback (Response), Teaching Methods, Computer Mediated Communication, Instructional Effectiveness
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Thai, Ngoc Thuy Thi; De Wever, Bram; Valcke, Martin – Journal of Computer Assisted Learning, 2020
This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction…
Descriptors: Blended Learning, Teaching Methods, Comparative Analysis, Self Efficacy
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Daniels, Lia M.; Bulut, Okan – Journal of Computer Assisted Learning, 2020
In computer-based testing (CBT) environments instructors can provide students with feedback immediately. Commonly, instructors give students their percentage correct without additional descriptive feedback. Our objectives were (a) to compare students' perceived usefulness of a percentage-only score report vs. a descriptive feedback report in a CBT…
Descriptors: Computer Assisted Testing, Feedback (Response), Value Judgment, Student Attitudes
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Liu, Chiung-Wen; Ho, Li-An; Chueh, Ting-Yu – Journal of Computer Assisted Learning, 2020
Because the microworld can create a learning environment that allows learners to interact with the real world, the view of the microworld has been widely used in education and training. In this study, the simulated transactional interactive concurrent system (STICS) was used to provide an environment that simulates the stock market trading of the…
Descriptors: Money Management, Instructional Effectiveness, Foreign Countries, Computer Uses in Education
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Resing, Wilma C. M.; Bakker, Merel; Elliott, Julian G.; Vogelaar, Bart – Journal of Computer Assisted Learning, 2019
This study examined whether computerized dynamic testing by utilizing a robot would lead to different patterns in children's (aged 6-9 years) potential for learning and strategy use when solving series-completion tasks. The robot, in a "Wizard of Oz" setting, provided instructions and prompts during dynamic testing. It was found that a…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Children
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Whitelock-Wainwright, Alexander; Gaševic, Dragan; Tejeiro, Ricardo; Tsai, Yi-Shan; Bennett, Kate – Journal of Computer Assisted Learning, 2019
Student engagement within the development of learning analytics services in Higher Education is an important challenge to address. Despite calls for greater inclusion of stakeholders, there still remains only a small number of investigations into students' beliefs and expectations towards learning analytics services. Therefore, this paper presents…
Descriptors: Expectation, Learning Analytics, Questionnaires, College Students
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