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Nesra Yannier; Scott E. Hudson; Henry Chang; Kenneth R. Koedinger – International Journal of Artificial Intelligence in Education, 2024
Adaptivity in advanced learning technologies offer the possibility to adapt to different student backgrounds, which is difficult to do in a traditional classroom setting. However, there are mixed results on the effectiveness of adaptivity based on different implementations and contexts. In this paper, we introduce AI adaptivity in the context of a…
Descriptors: Artificial Intelligence, Computer Software, Feedback (Response), Outcomes of Education
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Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name…
Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods
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I Made Suarsana; Al Jupri; Didi Suryadi; Elah Nurlaelah; I Gusti Nyoman Yudi Hartawan – Mathematics Teaching Research Journal, 2025
Mathematical and computational thinking (CT) are closely interrelated, yet CT integration into mathematics instruction remains limited. This study aims to analyze the effectiveness of the teaching process for straight-line equations in enhancing students' CT skills and to propose improvements based on the findings. A qualitative case study…
Descriptors: Mathematics Instruction, Teaching Methods, Learning Processes, Instructional Design
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Nitesh Kumar Jha; Plaban Kumar Bhowmik; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
A majority of research in Computational Thinking (CT) mainly focuses on teaching coding to school students. However, CT involves more than just coding and includes other skills like algorithmic thinking. The current study developed an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) that follows Inquiry-Based Learning…
Descriptors: Thinking Skills, Computer Science Education, Comparative Analysis, Problem Solving
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Amy Adair; Ellie Segan; Janice Gobert; Michael Sao Pedro – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards, such as the Next Generation Science Standards (NGSS). However, students often struggle with these two intersecting practices, particularly when developing mathematical models about scientific phenomena. Formative…
Descriptors: Artificial Intelligence, Mathematical Models, Science Process Skills, Inquiry
Ian Lowrie – ProQuest LLC, 2017
This dissertation focuses on elite efforts to restructure work and education in the Russian data sciences. Russia has long had a strong national program in theoretical mathematics, but has been substantially less successful at applying this expertise to develop modern computational science, infrastructure, and business. As the Russian extraction…
Descriptors: Artificial Intelligence, Electronic Learning, Technology Uses in Education, Data Science
Kochen, Manfred; Badre, Albert N. – 1973
Comprehension of a problem or task that is generated in the real world rather than presented as a well-defined problem-statement of the kind encountered in textbooks or psychological laboratories was related to the ability of recognizing, selecting and formulating problems. The process of acquiring and utilizing this ability was conceptualized…
Descriptors: Algorithms, Cognitive Processes, Decision Making Skills, Deduction