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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
Melka, Mark – ProQuest LLC, 2023
There is currently a lack of in-depth research with teachers' practices and perceptions with computer-assisted instruction (CAI) in the elementary classroom. Much of the past research focuses on student achievement but fails to consider how the teacher perceives the use of CAI and how they use CAI in the classroom. This research study explores the…
Descriptors: Elementary School Teachers, Teacher Attitudes, Educational Practices, Computer Assisted Instruction
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Chun-Yi Lee; Kin Hang Lei; Ming-Jang Chen; Chia-Rong Lee; Chao-Chi Chen – Cogent Education, 2023
This study combined the principles of multimedia message design with an enclosing-rectangle scaffold to facilitate instruction on deriving the area of basic geometric shapes. A pretest/posttest/delayed-posttest design was used to compare the effectiveness of the enclosing-rectangle scaffold with that of conventional dissection/rearrangement…
Descriptors: Low Achievement, Geometric Concepts, Computer Assisted Instruction, Teaching Methods
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Jodie Torrington; Matt Bower; Emma C. Burns – British Journal of Educational Technology, 2024
It is well-established that being a self-regulated learner is beneficial academically, motivationally and is considered essential for productive life-long learning. Despite this, there is limited evidence examining how different measures of self-regulation for learning (SRL) relate to task performance for young students learning in digital…
Descriptors: Elementary School Students, Elementary Education, Electronic Learning, Independent Study
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Tiphaine Colliot; Jean-Michel Boucheix – Journal of Computer Assisted Learning, 2024
Background: Previous studies have shown that dynamic illustrations, as compared to their static counterparts, lead to higher achievement levels, especially for hand-based procedures. Other researchers have investigated how the presence of seductive details (i.e., appealing but irrelevant adjunct displays) influences students' interest positively…
Descriptors: Illustrations, Animation, Handicrafts, Elementary School Students
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Onur Öztürk; Rezan Yilmaz – Online Submission, 2023
Spatial ability is frequently encountered in professional disciplines and daily life. In general, it includes abilities such as rotating objects, estimating the appearance of objects based on a person's position, and being able to think of open and closed forms of three-dimensional objects. It is essential in learning and teaching geometry. In…
Descriptors: Spatial Ability, Computer Assisted Instruction, Mathematics Instruction, Public Schools
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Costanza Ruffini; Eleonora Pizzigallo; Chiara Pecini; Laura Bertolo; Barbara Carretti – Reading Research Quarterly, 2025
It is acknowledged the need for interventions to improve reading comprehension and its cognitive underpinnings, such as executive functions. The present study implemented a computerized cognitive training for enhancing reading comprehension in primary school children through EF activities embedded in text comprehension exercises. 263 third and…
Descriptors: Executive Function, Computer Assisted Instruction, Training, Reading Instruction
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Lisa A. Dieker; Rebecca Hines; Ilene Wilkins; Charles Hughes; Karyn Hawkins Scott; Shaunn Smith; Kathleen Ingraham; Kamran Ali; Tiffanie Zaugg; Sachin Shah – Journal of Special Education Preparation, 2024
The options for Artificial intelligence (AI) tools used in teacher education are increasing daily, but more is only sometimes better for teachers working in already complex classroom settings. This team discusses the increase of AI in schools and provides an example from administrators, teacher educators, and computer scientists of an AI virtual…
Descriptors: Artificial Intelligence, Elementary Schools, Preservice Teachers, Preservice Teacher Education
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Renáta Kiss; Katalin Szili; Beno Csapó; Gyöngyvér Molnár – Education and Information Technologies, 2024
The ability to read is fundamental in determining an individual's academic success and social integration, and it is also known to have an impact on other cognitive abilities. A lack of foundational pre-reading skills can accumulate later, causing reading and learning problems. Early diagnosis and development of these skills are therefore…
Descriptors: Reading Skills, Skill Development, Intervention, Reading Programs
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Ahmed Hosny Saleh Metwally; Ronghuai Huang; Paula Toledo Palomino; Ahmed Mohamed Fahmy Yousef – Education and Information Technologies, 2024
Gamifying online homework activities and learning assignments is an effective approach to facilitate students' engagement and enjoyment. While incorporating game elements to gamify homework and learning assignments promoted positive psychological and learning outcomes, the mere use of these elements brings several flaws associated with the gameful…
Descriptors: Gamification, Homework, Instructional Effectiveness, Motivation
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Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
Kovacs, Paula Marie – ProQuest LLC, 2023
The problem addressed in this study was approximately 50% of adult learners enrolled in adult basic education (ABE) classes do not have an educational learning gain in mathematics and numeracy from ABE coursework (National Reporting System, 2022) and were often not promoted to the next level (Smith, 2022). The purpose of this quantitative ex post…
Descriptors: Adult Basic Education, Computer Assisted Instruction, Adult Students, Achievement Gains
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Matthew E. Foster – Journal of Research on Educational Effectiveness, 2024
Despite the surge in efficacy studies, the relative effectiveness of any two math interventions is largely unknown and replications are rare. To ensure that students benefit from high-quality learning experiences, the current conceptual replication of Wang and Woodworth, a randomized control trial, evaluated the relative impacts of two computer…
Descriptors: Elementary School Students, Mathematics Instruction, Numeracy, Intervention
Scott Cameron; Carmel Mesiti – Mathematics Education Research Group of Australasia, 2024
In their daily work teachers are responsible for several complex tasks; might AI be harnessed to support teachers in the challenging work of planning lessons? In this paper we investigate the use of an AI tool, namely ChatGPT, to generate a lesson plan that may be of use to teachers in their planning. A carefully worded prompt, informed by…
Descriptors: Artificial Intelligence, Mathematics Education, Lesson Plans, Computer Assisted Instruction
Shalom Labkovski – ProQuest LLC, 2024
In an era of heightened accountability and expanding educational technology choices, mathematics educators must critically assess the effectiveness of the tools available to them. While deciding on technological tools, it is essential that we not only promote rigor in mathematics but also ensure closing learning gaps and improve students' beliefs…
Descriptors: Mathematical Aptitude, Mastery Learning, Individual Development, Course Evaluation
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