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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
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
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
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
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
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
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
Oi-Lam Ng – For the Learning of Mathematics, 2025
This essay extends beyond the characteristics and discourse of word problems to, more generally, school mathematical problem-solving and the implications entailed by a predominant paper-and-pencil mode of learning and instruction since the modern era of education. Contrasting what I call "one-handed" (with paper-and-pencil) with…
Descriptors: Thinking Skills, Computation, Problem Solving, Mathematics Education
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
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
Karen Kortecamp; Michelle Lynn Peters – Journal of Education for Students Placed at Risk, 2024
The purpose of this randomized control trial (RCT) was to examine the impact of one-to-one high-dosage tutoring on reading achievement of kindergarten and first grade students, many at risk of reading failure. This nearly two-year study collected reading assessment data from 185 students, from across 13 classrooms, randomly assigned to either the…
Descriptors: Kindergarten, Preschool Children, Grade 1, Reading Achievement
Stefano Scippo; Serena Madiai; Stefano Cuomo – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aims to assess the effectiveness of a tessellation-based instructional program supported by digital technologies for enhancing geometric learning in primary school pupils. Background: Digital education offers various benefits, including increased motivation and engagement, and has been shown to be effective in teaching…
Descriptors: Mathematics Instruction, Geometry, Computer Assisted Instruction, Elementary School Students
Anabela Anabela Malpique; Mustafa Asil; Deborah Pino-Pasternak; Susan Ledger; Timothy Teo – Reading and Writing: An Interdisciplinary Journal, 2025
Digital tools are an integral part of most writing communities across the globe, enhancing the criticality of gaining a comprehensive understanding of both paper and computer-based writing acquisition and development. The relationships between transcription skills and children's paper-based writing performance are well documented. Less is known…
Descriptors: Handwriting, Writing Skills, Keyboarding (Data Entry), Spelling