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Wahid Yunianto; Guillermo Bautista Jr.; Bungkus Dias Prasetyo; Zsolt Lavicza – International Journal for Technology in Mathematics Education, 2024
As computational thinking (CT) is new to teachers, they need support on how CT integration will work. This study examines the use of a hypothetical learning trajectory (HLT) to support teachers in integrating computational thinking into mathematics lessons utilizing GeoGebra. By employing the educational design research (EDR) methodology, the…
Descriptors: Computer Software, Mental Computation, Mathematics Instruction, Educational Technology
Mehmet Demir; Yilmaz Zengin – International Journal of Mathematical Education in Science and Technology, 2025
The aim of this study is to show how the GeoGebra software-supported collaborative learning environment contributes to a group of students using multiple representations and reaching generalisations while solving problems collectively. Blending individual and collaborative learning activities were carried out with a learning method called ACODESA…
Descriptors: Computer Software, Geometry, Cooperative Learning, Grade 8
Juan Luis Prieto-González; Rafael Enrique Gutiérrez-Araujo; Elizabeth-H. Arredondo; Alex Montecino – Journal of Mathematics Teacher Education, 2025
This paper seeks to answer the question: How does the handling of the contradictions that emerge in activities of initial mathematics teacher education contribute to the learning of geometric knowledge when pre-service teachers and the teacher educator solve geometric construction problems with GeoGebra? A dialectical-materialist approach is used…
Descriptors: Mathematics Education, Mathematics Teachers, Preservice Teacher Education, Geometric Concepts
Derya Zengin; Menekse Seden Tapan Broutin – International Electronic Journal of Mathematics Education, 2025
This study aims to examine the mathematical reasoning and proof processes of gifted students within the framework of Toulmin's Argumentation Model. Grounded in the Rich Teaching Model, the instructional design included seven differentiated lesson plans. The research was conducted with two 9th-grade students in a Science and Art Centre over 20…
Descriptors: Academically Gifted, Validity, Mathematical Logic, Mathematics Instruction
Giulia Polverini; Bor Gregorcic – Physical Review Physics Education Research, 2024
The well-known artificial intelligence-based chatbot ChatGPT-4 has become able to process image data as input in October 2023. We investigated its performance on the test of understanding graphs in kinematics to inform the physics education community of the current potential of using ChatGPT in the education process, particularly on tasks that…
Descriptors: Computer Software, Artificial Intelligence, Visual Impairments, Graphs
Qianru Li; Saifon Songsiengchai; Ada Marie G. Mascarinas – World Journal of Education, 2025
This study investigates the impact of 3DS MAX software on creative development and skills in art education at GUIZHOU UNIVERSITY, China. As digital technologies become increasingly integral to art education, understanding how 3D animation software influences students' creative capabilities and technical skills is crucial for developing practical…
Descriptors: Foreign Countries, Computer Software, Technology Uses in Education, Animation
Sarah E. Frampton; Judah B. Axe – Analysis of Verbal Behavior, 2025
Technology offers exciting possibilities for instruction with learners with autism spectrum disorder (ASD), but limited research has evaluated the use of web-based applications (apps) as learning tools for this population. We wondered if using apps would function as a precurrent response to solve problems in the form of questions on a worksheet.…
Descriptors: Technology Uses in Education, Students with Disabilities, Autism Spectrum Disorders, Computer Software
Gamze Kurt; Özge Çakioglu – Digital Experiences in Mathematics Education, 2024
This study aims to investigate students' computational thinking (CT) through mathematical tasks integrated with programming in Scratch. Participants completed four tasks that required students to solve coding problems, which were focused on prime numbers and the prime factorization algorithm. The study was designed as a case study and the unit of…
Descriptors: Grade 7, Case Studies, Mathematics Education, Mathematical Concepts
Alonso Ogueda-Oliva; Padmanabhan Seshaiyer – International Journal of Mathematical Education in Science and Technology, 2024
In this paper, we introduce novel instructional approaches to engage students in using modelling with data to motivate and teach differential equations. Specifically, we introduce a pedagogical framework that will execute instructional modules to teach different solution techniques for differential equations through repositories and notebook…
Descriptors: Mathematical Models, Equations (Mathematics), Mathematics Instruction, Learning Modules
Deepti Reddy Patil; Sridhar Iyer; Sasikumar – ACM Transactions on Computing Education, 2025
Design problems are often ill-structured as the requirements are broadly defined and have multiple correct solutions. Experts solve such problems by applying various cognitive and metacognitive skills before the formal specifications and solution designs are documented. Novices often need help solving ill-structured design problems as they lack…
Descriptors: Educational Environment, Problem Solving, Design, Technology Uses in Education
Jacob S. Hirschi; Dayana Bashirova; Tim J. Zuehlsdorff – Journal of Chemical Education, 2023
Density functional theory (DFT) is indubitably the most popular and among the most successful approaches for approximately solving the many-electron Schro¨dinger equation. The level of understanding on the part of both researchers and students using DFT, however, is lacking, given the availability of black-box software. The present work addresses…
Descriptors: Equations (Mathematics), Problem Solving, Science Instruction, Chemistry
Belma Alihodžic; Tatjana Atanasova-Pachemska; Sanela Nesimovic – International Electronic Journal of Mathematics Education, 2024
Teaching is a process for which its plan should contain reflection onto previous experience. With that in mind, teaching situations should be continuously researched and improved in accordance with the research results. Led by this thought and the fact that students are uncritically using visualization to solve mathematical problems, we defined…
Descriptors: High School Students, Mathematics Instruction, Student Attitudes, Problem Solving
Jorge Gaona; Silvia Soledad López; Elizabeth Montoya-Delgadillo – International Journal of Mathematical Education in Science and Technology, 2024
In this paper we studied the personal mathematical work of 14 students in initial teacher training, in their first year of studies at a public university in Chile, based on two tasks on complex numbers. These tasks were set in a Computer Aided Assessment System (CAA) based on Moodle and Wiris and it was proposed to solve them using different…
Descriptors: Preservice Teacher Education, Preservice Teachers, Numbers, Educational Technology
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity

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