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Showing 1 to 15 of 22 results Save | Export
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Lihui Sun; Danhua Zhou – Journal of Computer Assisted Learning, 2024
Background: Integrating programming in K-12 curriculum has become a global consensus. Teachers are central figures in programming instruction. But the majority of current research focuses on teachers' external teaching behaviours and less on teachers' attitudes towards programming. Objectives: The purpose of this study is to validate the K-12…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Teacher Attitudes
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Spitzer, Markus Wolfgang Hermann; Moeller, Korbinian – Journal of Computer Assisted Learning, 2022
Background: Mastering fractions seems among the most critical mathematical skills for students to acquire in school as fraction understanding significantly predicts later mathematic achievements, but also broader academic and vocational prospects. As such, identifying longitudinal predictors of fraction understanding (e.g., mastery of numbers and…
Descriptors: Fractions, Mathematics Instruction, Mathematics Skills, Predictor Variables
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Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
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Alam, Sabrina Shajeen; Dubé, Adam Kenneth – Journal of Computer Assisted Learning, 2023
Background: A strong knowledge of mathematics, beginning at the elementary level, is critical for participation in today's complex world. The home may be one way to facilitate individualized mathematics instruction, given that children spend more time at home than in an academic institution. Therefore, researchers are interested to see whether the…
Descriptors: Foreign Countries, Elementary School Students, Numeracy, Family Environment
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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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Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
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Menabò, Laura; Sansavini, Alessandra; Brighi, Antonella; Skrzypiec, Grace; Guarini, Annalisa – Journal of Computer Assisted Learning, 2021
Background: The rapid spread of COVID-19 forced many countries to adopt severe containment measures, transferring all didactic activities into virtual environments. However, the integration of technology in teaching may present difficulties, especially in some countries, such as Italy. Objectives: The present study analyzed how the two main…
Descriptors: Technology Integration, Intention, Adoption (Ideas), Electronic Learning
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Rahman, Md. H Asibur; Uddin, Mohammad Shahab; Dey, Anamika – Journal of Computer Assisted Learning, 2021
The purpose of this paper is to investigate the mediating role of online learning motivation (OLM) in the COVID-19 pandemic situation in Bangladesh by observing and comparing direct lectures (DL), instructor-learner interaction (ILI), learner-learner interaction (LLI), and internet self-efficacy (ISE) as predictors of OLM and online learning…
Descriptors: Online Courses, Learning Motivation, COVID-19, Pandemics
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Blau, Ina; Shamir-Inbal, Tamar; Hadad, Shlomit – Journal of Computer Assisted Learning, 2020
The purpose of this study was to examine the influence of online collaborative learning experiences on students' digital collaboration skills and on the sustainability of e-collaboration in schools' culture--comparing individualistic versus collectivistic cultures. In addition, we explored how the leadership experience of schools' ICT coordinators…
Descriptors: Electronic Learning, Cooperative Learning, Individualism, Collectivism
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Zhu, Jinxin; Mok, Magdalena M. C. – Journal of Computer Assisted Learning, 2020
In recent years, it has become common to use the internet or computer tutoring with a programme or application for additional instruction (ICTPAAI), in addition to the mandatory school schedule. This study aimed to understand students' participation in ICTPAAI and its relation to academic achievement. Multilevel structural equation modelling was…
Descriptors: Predictor Variables, Student Participation, Internet, Computer Assisted Instruction
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Almusharraf, Norah Mansour; Bailey, Daniel – Journal of Computer Assisted Learning, 2021
During the COVID-19 outbreak, students had to cope with succeeding in video-conferencing classes susceptible to technical problems like choppy audio, frozen screens and poor Internet connection, leading to interrupted delivery of facial expressions and eye-contact. For these reasons, agentic engagement during video-conferencing became critical for…
Descriptors: COVID-19, Pandemics, Cooperative Learning, English (Second Language)
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Dindar, Muhterem; Suorsa, Anna; Hermes, Jan; Karppinen, Pasi; Näykki, Piia – Journal of Computer Assisted Learning, 2021
COVID-19 pandemic has caused a massive transformation in K-12 settings towards online education. It is important to explore the factors that facilitate online teaching technology adoption of teachers during the pandemic. The aim of this study was to compare Learning Management System (LMS) acceptance of Finnish K-12 teachers who have been using a…
Descriptors: Technology Integration, Elementary School Teachers, Secondary School Teachers, Expectation
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Truzoli, Roberto; Pirola, Veronica; Conte, Stella – Journal of Computer Assisted Learning, 2021
The lockdown due to COVID-19 in Italy resulted in the sudden closure of schools, with a shift from traditional teaching to the online one. Through an online questionnaire, this survey explores teachers' experience of online teaching, the level of risk factors (e.g., stress) and protective factors (e.g., locus of control) and their impact on…
Descriptors: Risk, Stress Variables, Depression (Psychology), Mental Health
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Yurdakul, I. Kabakci; Coklar, A. N. – Journal of Computer Assisted Learning, 2014
The purpose of this study was to build a model that predicts the relationships between the Technological Pedagogical Content Knowledge (TPACK) competencies and information and communication technology (ICT) usages. Research data were collected from 3105 Turkish preservice teachers. The TPACK-Deep Scale, ICT usage phase survey and the ICT usage…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Teacher Competencies, Preservice Teachers
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Hatlevik, O. E.; Ottestad, G.; Throndsen, I. – Journal of Computer Assisted Learning, 2015
Since 2006, the ability to use information and communication technology (ICT) has been included as a key competence in the curriculum in Norway, and specific competence aims are developed for most grades. The aim of this study was to identify students' ability to use ICT according to the competence aims, and to examine factors that can predict…
Descriptors: Grade 7, Foreign Countries, Educational Technology, Technological Literacy
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