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Yu Cui; Lingjie Tang; Fang Fang – Journal of Computer Assisted Learning, 2025
Background Study: With the rapid transition to remote learning necessitated by the closure of traditional educational infrastructures globally, the arena of informal digital learning of English (IDLE) has received much attention, particularly among English as a Foreign Language (EFL) learners in China. Objective: This study explores how…
Descriptors: Electronic Learning, Artificial Intelligence, Predictor Variables, Informal Education
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
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
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
Heckel, Christian; Ringeisen, Tobias – Journal of Computer Assisted Learning, 2019
The current study validated the proposed structure of relationships among outcome-related achievement emotions (pride and anxiety), their cognitive predictors (appraisals und online-learning-related self-efficacy), and learning outcomes (competence gain and satisfaction) in the context of online learning in higher education. On the basis of a…
Descriptors: Emotional Response, Anxiety, Predictor Variables, Student Satisfaction
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
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
Ross, John A.; Sibbald, Tim; Bruce, Catherine D. – Journal of Computer Assisted Learning, 2009
Previous research has examined factors influencing teacher decisions to integrate technology using between-teacher designs. This study used a within-teacher design to compare students who were assigned multi-media learning objects for learning fractions with students taught by the same teachers who were not assigned to the technology. There were…
Descriptors: Mathematics Education, Self Efficacy, Mathematics Achievement, Educational Technology
Artino, A. R. – Journal of Computer Assisted Learning, 2008
Many would agree that learning on the Web--a highly autonomous learning environment--may be difficult for individuals who lack motivation and self-regulated learning skills. Using a social cognitive view of academic motivation and self-regulation, the objective of the present study was to investigate the relations between students' motivational…
Descriptors: Self Efficacy, Online Courses, Student Motivation, Educational Environment

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