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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
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
Nancy Otero; Stefania Druga; Andrew Lan – Discover Education, 2025
This study introduces an evaluation benchmark for middle school algebra to be used in artificial intelligence (AI) based educational platforms. The goal is to support the design of AI systems that can enhance learners' conceptual understanding of algebra by taking into account learners' current level of algebra comprehension. The dataset comprises…
Descriptors: Benchmarking, Misconceptions, Mathematical Concepts, Secondary School Mathematics
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
Anneli Dyrvold; Ida Bergvall – LUMAT: International Journal on Math, Science and Technology Education, 2023
Computer-based assessments is becoming more and more common in mathematics education, and because the digital media entails other demands than paper-based tests, potential threats against validity must be considered. In this study we investigate how preparatory instructions and digital familiarity, may be of importance for test validity. 77 lower…
Descriptors: Computer Assisted Instruction, Test Validity, Secondary School Students, 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
Susana Claro; Macarena Santana; Tomás Ossandon; Sebastián Cea; José de Amesti; Daniela Santander; Mauricio Huerta – European Journal of Psychology of Education, 2024
Computer-based interventions that aim to help students endorse a growth mindset have been designed and tested in high-income countries for a number of years. However, there is no evidence of their effectiveness in middle-income nations. In those studies, students' growth mindset has traditionally been measured using surveys where students report…
Descriptors: Foreign Countries, Developing Nations, Secondary School Students, Grade 9
Yang Jiang; Beata Beigman Klebanov; Jiangang Hao; Paul Deane; Oren E. Livne – Journal of Computer Assisted Learning, 2025
Background: Writing is integral to educational success at all levels and to success in the workplace. However, low literacy is a global challenge, and many students lack sufficient skills to be good writers. With the rapid advance of technology, computer-based tools that provide automated feedback are being increasingly developed. However, mixed…
Descriptors: Feedback (Response), Writing Evaluation, Middle School Students, High School Students
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
Najim Oumelaid; Brahim El Boukari; Jalila El Ghordaf – Journal of Education and Learning (EduLearn), 2025
This paper presents the findings of a comprehensive experimental study examining the impact of computer-assisted instruction (CAI) compared to traditional teaching methods on learner performance and motivation in mathematics education. The study, conducted with 80 first-year college learners from a primary school in Morocco, aimed to assess the…
Descriptors: Foreign Countries, Computer Assisted Instruction, Conventional Instruction, Student Motivation
Pi-Sui Hsu; Reva Freedman; Dean LaBarbera; Ben Kluga; Rui Zhang; Crystal Berrios; Sharda Sharma – International Journal of Designs for Learning, 2025
This design case details the ten-year (2014-present) iterative process to design and develop a graph-based computer-assisted program to support middle school students' development of collaborative argumentation. We begin by describing the first two iterations of the design and discuss how we learned from the process failures. This paper focuses on…
Descriptors: Program Development, Middle School Students, Cooperation, Persuasive Discourse
Alexandra S. Dylman; Marie-France Champoux-Larsson; Candice Frances – Educational Psychology, 2025
We report four experiments investigating the effect of prosody on listening comprehension in 11-13-year-old children. Across all experiments, participants listened to short object descriptions and answered content-based questions about said objects. In Experiments 1-3, the descriptions were read in an emotionally positive or neutral tone of voice.…
Descriptors: Intonation, Middle School Students, Foreign Countries, Listening Comprehension
Zachary Michael Deets – ProQuest LLC, 2023
Inclusive learning opportunities lead to better outcomes for students with extensive support needs (ESN). In the absence of targeted intervention, however, students with ESN are unlikely to interact meaningfully with their peers or the general education curriculum. The literature describes evidence-based strategies in support of the meaningful…
Descriptors: Special Needs Students, Technology Uses in Education, Intervention, Peer Teaching
Jenny Yun-Chen Chan; Avery Harrison Closser; Hannah Smith; Ji-Eun Lee; Kathryn C. Drzewiecki; Erin Ottmar – Grantee Submission, 2023
Prior work has established that cognitive and perceptual processes influence students' attention to notational structures in mathematical expressions, which in turn affects their problem-solving approaches and performance. Advances in educational technology provide opportunities to further investigate these processes, improve student learning, and…
Descriptors: Algebra, Educational Technology, Mathematics Instruction, Mathematics Education

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