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F. Sehkar Fayda-Kinik; Munevver Cetin – Journal of Computer Assisted Learning, 2025
Background: The unprecedented access to information in the 21st century entails a deep understanding of information and communication technology (ICT)-related factors in education and their impacts on learning and teaching. The role of attitudes towards ICT is a proven factor in student achievement. However, there is no consensus about the…
Descriptors: Information Technology, Technology Uses in Education, Academic Achievement, Secondary Education
Villar-Aldonza, Adriano – Journal of Computer Assisted Learning, 2023
Background: The growth of teaching practices conducted to promote cognitive activation and active participation in the classroom in recent years has become the epicentre of an active debate regarding their effectiveness. Objectives: This study is aimed to shed some light on this topic by empirically analysing the causes and consequences of more…
Descriptors: Teaching Styles, Teaching Methods, Instructional Effectiveness, Achievement Tests
Starkey, Louise; Zhong, Jingyi – Journal of Computer Assisted Learning, 2019
How computers in schools impact on children's learning has been studied through research that explores student achievement at one point in time or by comparing different classroom contexts with differing results. The introduction of an optional netbook purchasing scheme for children in a low socio-economic community provided an opportunity to…
Descriptors: Correlation, Laptop Computers, Ownership, Mathematics Achievement
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
Rashmi Khazanchi; Daniele Di Mitri; Hendrik Drachsler – Journal of Computer Assisted Learning, 2025
Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics…
Descriptors: Mathematics Achievement, Rural Areas, Artificial Intelligence, Individualized Instruction
Yorganci, Serpil – Journal of Computer Assisted Learning, 2020
This study investigates the effect of E-learning (EL), blended learning (BL) and flipped learning (FL) approaches on the mathematics achievement, self-regulation and mathematics self-efficacy. Participants consist of 163 first-year students attending an associate degree program (a 2-year program) of a state university. The EL, BL and FL settings…
Descriptors: Electronic Learning, Blended Learning, Mathematics Achievement, Self Efficacy
Ruijie Zhou; Xiuling He; Qiong Fan; Yangyang Li; Yue Li; Xiong Xiao; Jing Fang – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, an AI-based chatbot, supports learning by accurately interpreting and responding to user inputs. Despite its potential, few empirical studies have examined its influence on college students' mathematical problem-solving processes. Objectives: This study aimed to introduce a ChatGPT-facilitated scaffolding to investigate its…
Descriptors: Artificial Intelligence, Technology Uses in Education, Scaffolding (Teaching Technique), Mathematics Instruction
Botelho, Anthony; Baral, Sami; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – Journal of Computer Assisted Learning, 2023
Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…
Descriptors: Natural Language Processing, Artificial Intelligence, Computer Assisted Testing, Mathematics Tests
Patel, Nirmal; Nagpal, Pooja; Shah, Tirth; Sharma, Aditya; Malvi, Shrey; Lomas, Derek – Journal of Computer Assisted Learning, 2023
Background: Readability metrics provide us with an objective and efficient way to assess the quality of educational texts. We can use the readability measures for finding assessment items that are difficult to read for a given grade level. Hard-to-read math word problems can put some students at a disadvantage if they are behind in their literacy…
Descriptors: Mathematics Tests, Readability, Word Problems (Mathematics), Mathematics Achievement
Chung Kwan Lo; Khe Foon Hew; Simin Xu; Yanjie Song; Gaowei Chen; Morris Siu-Yung Jong – Journal of Computer Assisted Learning, 2025
Background: In the aftermath of the COVID-19 pandemic, it is critical to reflect holistically on the experiences gained in the past few years. We thus review research on remote mathematics teaching in Pre-K-12 contexts, utilising Activity Theory as a theoretical lens for research synthesis. Objectives: Drawing from a comprehensive overview of the…
Descriptors: Preschool Education, Elementary Secondary Education, Distance Education, Mathematics Instruction
Rocío Mínguez-Pardo; Javier Del Olmo-Muñoz; Sergio Tirado-Olivares; José Antonio González-Calero – Journal of Computer Assisted Learning, 2024
Background: The present study delves into the debate surrounding the effectiveness of homework, focusing specifically on the use of online homework in teaching decimal numbers to 5th and 6th grade primary school students. It highlights the challenges students face in representing and identifying decimal numbers, a concept that is often difficult…
Descriptors: Electronic Learning, Homework, Mathematics Instruction, Number Concepts
Herodotou, C. – Journal of Computer Assisted Learning, 2018
Mobile applications are popular among young children, yet there is a dearth of studies examining their impact on learning and development. A systematic review identified 19 studies reporting learning effects on children 2 to 5 years old. The number of children participating in experimental, quasi-experimental, or mixed-method studies was 862 and…
Descriptors: Young Children, Handheld Devices, Technology Uses in Education, Educational Research
Tokac, Umit; Novak, Elena; Thompson, Christopher G. – Journal of Computer Assisted Learning, 2019
This meta-analysis investigated the effects of learning video games on mathematics achievement of PreK-12th-grade students compared with traditional classroom instructional methods. Results from the 24 collected studies showed heterogeneity among effect sizes, both in magnitude and direction. Using a random effects model, a small but marginally…
Descriptors: Meta Analysis, Mathematics Instruction, Mathematics Achievement, Teaching Methods
Yousef, Ahmed Mohamed Fahmy – Journal of Computer Assisted Learning, 2021
There is a large volume of published studies describing the positive role of Augmented Reality (AR) in educational settings. However, there is a paucity of empirical work that explores its role in supporting primary school pupil's motivation and creativity. Moreover, numerous studies have confirmed that pupils have difficulties in learning…
Descriptors: Computer Simulation, Creative Thinking, Primary Education, Grade 1
Leite, Walter L.; Cetin-Berber, Dee D.; Huggins-Manley, Anne C.; Collier, Zachary K.; Beal, Carole R. – Journal of Computer Assisted Learning, 2019
Although the use of technology in the K12 classroom has been shown to have a positive impact, research on the use of open education resources (OER) is relatively limited, especially research focusing on low-achieving students. The present study examines the relationship between usage of Algebra Nation, a self-guided system that provided…
Descriptors: Open Educational Resources, Algebra, Mathematics Instruction, High Stakes Tests
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