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Hsiao-Ping Hsu – TechTrends: Linking Research and Practice to Improve Learning, 2025
The advancement of large language model-based generative artificial intelligence (LLM-based GenAI) has sparked significant interest in its potential to address challenges in computational thinking (CT) education. CT, a critical problem-solving approach in the digital age, encompasses elements such as abstraction, iteration, and generalisation.…
Descriptors: Programming, Prompting, Computation, Thinking Skills
Anna Beinke; Lisa O’Keeffe; Amie Albrecht; Bruce White – Australian Mathematics Education Journal, 2024
With the aim of engaging more students in meaningful thinking in mathematics, a cohort of Year 7 students were introduced to a 'Building Thinking Classrooms' framework for learning in mathematics. In this paper, the authors outline the key features of the implemented framework and share reflections on challenges and benefits.
Descriptors: Mathematics Instruction, Grade 7, Thinking Skills, Teaching Methods
Ulrike Franke; Iris Backfisch; Luisa Scherzinger; Arash Tolou; Christoph Thyssen; Taiga Brahm; Ina Rudolf; Andreas Lachner – Educational Technology Research and Development, 2024
Peer feedback is regarded as playing a vital role in fostering preservice teachers' noticing and reasoning skills during technology integration. However, novices in particular (e.g., pre-service teachers) tend to provide rather superficial feedback, which does not necessarily contribute to professional development. Against this background, we…
Descriptors: Preservice Teacher Education, Preservice Teachers, Peer Evaluation, Prompting
Suna-Seyma Uçar; Inigo Lopez-Gazpio; Josu Lopez-Gazpio – Education and Information Technologies, 2025
Recent advancements in large language models (LLMs) have shown potential in enhancing educational practices, particularly in technology-assisted learning environments. This study critically evaluates the reasoning capabilities of LLMs, such as ChatGPT, within the context of chemistry education. We designed targeted adversarial prompts that…
Descriptors: Abstract Reasoning, Thinking Skills, Artificial Intelligence, Technology Uses in Education
Vicente Sanjosé; Carlos B. Gómez-Ferragud; Joan Josep Solaz-Portolés – European Journal of Psychology of Education, 2024
This study explores the process itself of comprehension monitoring of worked-out examples in mathematics. A 'reversal error' was embedded in a worked-out example of algebraic nature. Ninety-four engineers in a master's degree program to become secondary teachers of technology were asked to judge the comprehensibility of the statement and the…
Descriptors: Comprehension, Masters Programs, Engineering Education, Teacher Education
Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
Jan Olsson; Carina Granberg – Mathematical Thinking and Learning: An International Journal, 2024
Studies have shown that learning mathematics through programming can be complex and that the programming itself might even hamper students' learning. However, few studies have focused on the role of the teacher and the teacher-student interaction that aims to support students' learning when using programming. The present study examines a didactic…
Descriptors: Teacher Student Relationship, Communication (Thought Transfer), Creativity, Thinking Skills
Hadfield, KimberLeigh Felix – Teaching Statistics: An International Journal for Teachers, 2021
Undergraduate students tend to struggle with probability in their introductory statistics course. Probability problem solving requires several steps. First, students must make sense of the probability scenario, then determine the appropriate probability rules, and finally, execute the procedures to solve the problem. With no previous exposure to…
Descriptors: Undergraduate Students, Probability, Statistics, Introductory Courses
Hsin-Yu Lee; Pei-Hua Chen; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – International Journal of Educational Technology in Higher Education, 2024
In the evolving landscape of higher education, challenges such as the COVID-19 pandemic have underscored the necessity for innovative teaching methodologies. These challenges have catalyzed the integration of technology into education, particularly in blended learning environments, to bolster self-regulated learning (SRL) and higher-order thinking…
Descriptors: Artificial Intelligence, Synchronous Communication, Blended Learning, Self Management
Pearn, Catherine; Stephens, Max; Pierce, Robyn – Mathematics Education Research Group of Australasia, 2019
To succeed in mathematics middle-years' students must move from additive to multiplicative thinking and from arithmetic calculations to generalised algebraic strategies. If we ask the right questions this progression can be monitored and prompted through fraction tasks. Students' solution strategies for fraction tasks vary from a dependence on…
Descriptors: Progress Monitoring, Prompting, Algebra, Middle School Students
Cloude, Elizabeth B.; Carpenter, Dan; Dever, Daryn A.; Azevedo, Roger; Lester, James – Journal of Learning Analytics, 2021
Reflection is critical for adolescents' problem solving and learning in game-based learning environments (GBLEs). Yet challenges exist in the literature because most studies lack a theoretical perspective and clear operational definition to inform how and when reflection should be scaffolded during game-based learning. In this paper, we address…
Descriptors: Game Based Learning, Video Games, Learning Analytics, Microbiology
Rich, Kathryn M.; Yadav, Aman; Larimore, Rachel A. – Education and Information Technologies, 2020
Incorporating computational thinking (CT) ideas into core subjects, such as mathematics and science, is one way of bringing early computer science (CS) education into elementary school. Minimal research has explored how teachers can translate their knowledge of CT into practice to create opportunities for their students to engage in CT during…
Descriptors: Computation, Thinking Skills, Elementary School Mathematics, Elementary School Science
Klein, Martin; Otto, Bärbel; Fischer, Martin R.; Stark, Robin – Advances in Health Sciences Education, 2019
The present study aims at fostering undergraduate medical students' clinical reasoning by learning from errors. By fostering the acquisition of "negative knowledge" about typical cognitive errors in the medical reasoning process, we support learners in avoiding future erroneous decisions and actions in similar situations. Since learning…
Descriptors: Medical Students, Thinking Skills, Case Method (Teaching Technique), Prompting
Downton, Ann; Sullivan, Peter – Educational Studies in Mathematics, 2017
While the general planning advice offered to mathematics teachers seems to be to start with simple examples and build complexity progressively, the research reported in this article is a contribution to the body of literature that argues the reverse. That is, posing of appropriately complex tasks may actually prompt the use of more sophisticated…
Descriptors: Problem Solving, Mathematical Aptitude, Mathematics Skills, Difficulty Level
Garrett, Lauretta – International Journal of Education in Mathematics, Science and Technology, 2014
Examining the actions taken during a teaching experiment can provide insight into practices applicable to the use of mathematics technology to assist adult learners. A case study in the form of a teaching experiment was conducted with a small number of subjects to allow for detailed examination of the influence of technology on student thinking.…
Descriptors: Case Studies, Technology Uses in Education, Educational Technology, Thinking Skills
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