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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
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
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
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
Markopoulos, Christos; Bruck, Patrick; Petta, Koralia – Journal of Mathematics Education at Teachers College, 2022
This paper examines Grade 6 students' thinking about geometrical solids and their properties in the context of a computer-based task. The main focus is to explore how students interact with a number of tasks based on the dynamic transformation of computer-based representations of 3D solids in a geometry classroom with the aid of a Dynamic…
Descriptors: Thinking Skills, Visual Aids, Geometric Concepts, Grade 6
Zhang, Yingbin; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; Ocumpaugh, Jaclyn; Biswas, Gautam – European Journal of Psychology of Education, 2023
The feelings of difficulty and familiarity (FOD and FOF) are two types of metacognitive experiences. Both may influence student engagement and the application of metacognitive strategies, but these relationships are not well understood, in part because many studies have relied on self-report measures of behaviors that may not accurately reflect…
Descriptors: Metacognition, Difficulty Level, Familiarity, Learning Strategies
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
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation