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Showing 1 to 15 of 21 results Save | Export
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Kaur, Amanpreet; Chahal, Kuljit Kaur – Journal of Science Education and Technology, 2023
Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The…
Descriptors: Personality, Learning Motivation, Computation, Thinking Skills
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Chih-Chang Yu; Leon Yufeng Wu – Educational Technology & Society, 2024
This study presents a new blended learning model that combines a computer-assisted learning system called Cognitive Apprenticeship Programming Learning System (CAPLS) with instructor co-teaching in an introductory programming course. CAPLS, as its unique aspect, functions as a master in cognitive apprenticeship, guiding learners throughout their…
Descriptors: Programming, Computer Science Education, College Entrance Examinations, Mathematics Tests
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Cuervo-Cely, Karen D.; Restrepo-Calle, Felipe; Ramírez-Echeverry, Jhon J. – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The purpose of this research is to examine the effect of computer-assisted gamification on the learning motivation of computer programming students. Background: The teaching-learning of computer programming involves challenges that imply using learning environments in which the student is actively involved. Gamification is an…
Descriptors: Game Based Learning, Student Motivation, Computer Science Education, Programming
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Han, Feifei; Ellis, Robert A. – Education and Information Technologies, 2023
This study investigated the extent to which self-report and digital-trace measures of students' self-regulated learning in blended course designs align with each other amongst 145 first-year computer science students in a blended "computer systems" course. A self-reported Motivated Strategies for Learning Questionnaire was used to…
Descriptors: Computer Science Education, Independent Study, College Freshmen, Blended Learning
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Karaoglan Yilmaz, Fatma Gizem – Technology, Pedagogy and Education, 2022
The purpose of this study is to examine the effect of student satisfaction on students' engagement and motivation in a mobile-based flipped classroom. A total of 222 university students taking the Computing I course designed as a mobile-based flipped classroom were recruited. Data were collected through three self-report instruments: the…
Descriptors: Flipped Classroom, Learner Engagement, Student Motivation, Student Satisfaction
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Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
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Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
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Anthonysamy, Lilian; Ah Choo, Koo; Soon Hin, Hew – Malaysian Journal of Learning and Instruction, 2021
Purpose: The rise of digital learning and the prevalence of affordable devices are convenient for young adults who are accustomed to using their digital devices for almost everything such as communication, collaboration, and accessing multiple sources of information for solutions. However, the lack of ability to self-regulate learning processes…
Descriptors: Metacognition, Learning Strategies, Private Colleges, Foreign Countries
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Onah, Daniel F. O.; Pang, Elaine L. L.; Sinclair, Jane E.; Uhomoibhi, James – International Journal of Information and Learning Technology, 2021
Purpose: Massive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness in a blended-learning context. One of the major recurring issues raised…
Descriptors: MOOCs, Questionnaires, Learning Strategies, Blended Learning
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Kucuk, Sevda – Journal of Technology and Teacher Education, 2018
This research investigated pre-service teachers' motivation, learning strategies, and engagement in a situated learning based educational technology course. In this study, correlational research design was used. The sample of this study was 65 second year science education pre-service teachers. The data were collected through two questionnaires.…
Descriptors: Preservice Teachers, Technological Literacy, Learning Strategies, Predictor Variables
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Tsai, Chia-Wen; Shen, Pei-Di; Chiang, I-Chun; Chen, Wen-Yu; Chen, Yi-Fen – Interactive Learning Environments, 2018
The application of online learning and educational technologies in higher education has changed teaching methods, the channels of delivering learning materials, and modes of communication between teachers and students. This study is aimed to improve learning effects and investigate, via quasi-experiments, the effects of web-mediated…
Descriptors: Foreign Countries, Undergraduate Students, Web Based Instruction, Cooperative Learning
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Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
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Yagci, Mustafa – Turkish Online Journal of Educational Technology - TOJET, 2016
High-level thinking and problem solving skill is one requirement of computer programming that most of the students experience problems with. Individual differences such as motivation, attitude towards programming, thinking style of the student, and complexity of the programming language have influence on students' success on programming. Thus,…
Descriptors: Blended Learning, Programming Languages, Success, Student Motivation
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Zogheib, Salah – International Journal of Information and Communication Technology Education, 2015
Single computer courses offered at colleges of education are expected to provide preservice teachers with the skills and expertise needed to adopt computer technology in their future classrooms. However, preservice teachers still find difficulty adopting such technology. This research paper investigated relationships among preservice teachers'…
Descriptors: Preservice Teachers, Undergraduate Students, Computer Uses in Education, Computer Science Education
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Zogheib, Salah – Journal of Educational Technology Systems, 2014
As the majority of educational research has focused on preservice teachers' computer use for "educational purposes," the question remains: Do preservice teachers use computer technology for daily life activities and encounters? And do preservice teachers' personality traits and motivational beliefs related to computer training provided…
Descriptors: Preservice Teachers, Computer Use, Computer Uses in Education, Educational Technology
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