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Showing 1 to 15 of 76 results Save | Export
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Ernst Bekkering; Patrick Harrington – Information Systems Education Journal, 2025
Generative AI has recently gained the ability to generate computer code. This development is bound to affect how computer programming is taught in higher education. We used past programming assignments and solutions for textbook exercises in our introductory programming class to analyze how accurately one of the leading models, ChatGPT, generates…
Descriptors: Higher Education, Artificial Intelligence, Programming, Textbook Evaluation
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Chun-Chun Chang – Journal of Computer Assisted Learning, 2024
Background: Cultivating students' problem-solving knowledge and skills in the workspace has been regarded as a primary goal in technical and vocational education. To this end, students are usually guided to complete the learning of workspace knowledge and skills by following the question, prompt, interaction and evaluation (QPIE) procedure.…
Descriptors: Computer Simulation, Questioning Techniques, Evaluation Methods, Vocational Education
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Jaime Carvalho e Silva – International Journal of Mathematical Education in Science and Technology, 2025
The use of technologies in mathematics education at all levels has been discussed extensively for a number of years. It is one of the few themes that was the object of two ICMI studies, the most recent being published in 2010. Two new approaches, emerging lately in the teaching and learning of Mathematics at all levels, will be discussed:…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Mathematics Instruction
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Wang, Cixiao; Wang, Jingxin; Shi, Zhu; Wu, Feng – Interactive Learning Environments, 2023
Digital instructional tools, such as virtual manipulatives, have been widely adopted as an enhanced approach to inquiry-based learning. However, the optimal ratio of mobile devices to students in instructional settings remain controversial. This research introduced a counterbalanced quasi-experiment to compare the learning performance and…
Descriptors: Comparative Analysis, Science Education, Inquiry, Active Learning
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Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change
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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – International Journal of Artificial Intelligence in Education, 2025
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
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Ching-Yi Chang; Patcharin Panjaburee; Shao-Chen Chang – Interactive Learning Environments, 2024
Educators have recognized the importance of providing a realistic learning environment which helps learners to not only comprehend learning content, but also to link the content to practical problems. Such an environment can hence foster problem-solving skills in nursing training. However, when learners interact in a virtual environment with rich…
Descriptors: Artificial Intelligence, Context Effect, Nursing Education, Technology Integration
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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – Grantee Submission, 2024
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
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Working, Christopher – Journal of Computers in Mathematics and Science Teaching, 2018
The use of technology in elementary mathematics instruction tends to be low-level, despite its affordance of supporting the development of students' high-level reasoning ability. This study builds upon a sociocultural view of learning and was designed to determine what effect a technology-mediated dialogic learning intervention has on third-grade…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Elementary School Mathematics
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Korucu, Agâh Tugrul; Cakir, Hasan – Malaysian Online Journal of Educational Technology, 2018
Some of the 21st century proficiencies expected from people are determined as collaborative working and problem solving. One way to gain these proficiencies is by using collaborative problem solving based on social constructivism theory. Collaborative problem solving is one of the methods allowing for social constructivism in the class. In…
Descriptors: Problem Based Learning, Educational Environment, Academic Achievement, Cooperative Learning
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Beal, Carole R.; Rosenblum, L. Penny – Journal of Visual Impairment & Blindness, 2018
Introduction: The authors examined a tablet computer application (iPad app) for its effectiveness in helping students studying prealgebra to solve mathematical word problems. Methods: Forty-three visually impaired students (that is, those who are blind or have low vision) completed eight alternating mathematics units presented using their…
Descriptors: Instructional Effectiveness, Handheld Devices, Computer Oriented Programs, Visual Impairments
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Weliweriya, Nandana; Sayre, Eleanor C.; Zollman, Dean A. – Physics Teacher, 2018
Pencasts are videos of problem solving with narration by the problem solver. Pedagogically, students can create pencasts to illustrate their own problem solving to the instructor or to their peers. Pencasts have implications for teaching at multiple levels from elementary grades through university courses. In this article, we describe the use of…
Descriptors: Science Instruction, Video Technology, Problem Solving, Teaching Methods
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Mercier, Emma; Vourloumi, Georgia; Higgins, Steven – British Journal of Educational Technology, 2017
Multi-touch technology is increasingly being used to support collaborative learning activities. However, to know how this technology can be used most effectively, we need to understand if collaborative interactions differ when groups are using multi-touch technology compared with other tools. In this paper, we compare the interactions of groups of…
Descriptors: Mathematics Instruction, Problem Solving, Cooperative Learning, Comparative Analysis
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Nordin, Norazlilah Md.; Osman, Kamisah – Journal of Education in Science, Environment and Health, 2018
Inculcating collaborative problem solving (hereinafter CPS) skills to help develop students' knowledge, especially for problem solving (PS) involved in the subject of physics is of utmost importance in the 21st century. It was on such grounds that in the present study, physics PS learning was innovated by engaging students' generated animation…
Descriptors: Cooperative Learning, Problem Solving, Physics, Science Instruction
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Ceker, Eser; Ozdamli, Fezile – Cypriot Journal of Educational Sciences, 2016
Throughout the years, there appears to be an increase in Problem Based Learning applications in education; and Problem Based Learning related research areas. The main aim of this research is to underline the fundamentals (basic elements) of Problem Based Learning, investigate the dimensions of research approached to PBL oriented areas (with a look…
Descriptors: Problem Based Learning, Educational Research, Technology Uses in Education, Intellectual Disciplines
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