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Abolaji R. Akinyemi; Michael E. Loverude; John R. Thompson – Physical Review Physics Education Research, 2025
One expected outcome of physics instruction is that students develop quantitative reasoning skills, including strategies for evaluating solutions to problems. Examples of well-known "canonical" evaluation strategies include special case analysis, unit analysis, and checking for reasonable numbers. We report on responses from three tasks…
Descriptors: Physics, Science Instruction, Problem Solving, Evaluation
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Daniela R. Vilarinho-Pereira; Adrie A. Koehler; Yishi Long – TechTrends: Linking Research and Practice to Improve Learning, 2024
Considering preservice teachers' reflections on their best academic learning experiences, the purpose of this research was to use a problem-solving lens to analyze how preservice teachers were first identifying an educational problem and then suggesting solutions where educational technology could be meaningfully implemented. This research used an…
Descriptors: Preservice Teachers, Educational Technology, Technological Literacy, Technology Integration
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Mary Jane Brundage; David E. Meltzer; Chandralekha Singh – Physical Review Physics Education Research, 2025
We use a validated conceptual multiple-choice survey instrument focusing on thermodynamic processes and the first and second laws of thermodynamics at the level of introductory physics to investigate the problem-property dependence of introductory and advanced student responses to introductory thermodynamics problems after traditional…
Descriptors: Problem Solving, Science Process Skills, Introductory Courses, Scientific Concepts
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Justin C. Dunlap; Ryan Sissons; Ralf Widenhorn – Physical Review Physics Education Research, 2025
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] We present a study in which a version of a common conservation of mechanical energy introductory physics problem, an object released on an inclined plane, is given to OpenAI's GPT-4 large language model (LLM). We…
Descriptors: Artificial Intelligence, Mechanics (Physics), Problem Solving, Energy
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Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
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Olson, Jodi; Shannon, Kimberly – Decision Sciences Journal of Innovative Education, 2023
This teaching brief presents a capstone project designed to provide students with a contextual understanding of introductory management accounting theories through hands-on, experiential learning. It also exposes them to cross-disciplinary roles from operations management. Using this capstone approach, students quickly learn to prepare financial…
Descriptors: Experiential Learning, Introductory Courses, Accounting, Business Administration Education
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Emily Yim Lee Au; Ravindra S. Goonetilleke – IEEE Transactions on Education, 2025
Contribution: The proposed operational model offers a detailed framework for understanding the complexities of design thinking. It helps instructors evaluate each stage, promoting the development of high-quality designs. This model emphasizes the link between the various stages and the final design quality, steering students toward achieving…
Descriptors: Design, Thinking Skills, Engineering Education, Introductory Courses
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Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Wei-Sheng Wang; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Conventional reflective learning methodologies in programming education often lack structured guidance and individualised feedback, limiting their pedagogical effectiveness. Whilst computational thinking (CT) offers a systematic problem-solving framework with decomposition, pattern recognition, abstraction, and algorithm design, its…
Descriptors: Computation, Thinking Skills, Educational Diagnosis, Diagnostic Tests
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Ravera, Enrico; Luchinat, Claudio – International Journal of Mathematical Education in Science and Technology, 2022
Problems involving the composition of mixtures are common in chemical practice and are thus part of introductory Chemistry courses at the early undergraduate level. However, they are often perceived by students as a rather obscure matter, which may be due to poor familiarity with algebraic manipulations. Furthermore, to increase the distaste of…
Descriptors: Algebra, Mathematical Concepts, Chemistry, Scientific Concepts
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McCoy, Bradley K. – Physics Teacher, 2021
In a typical first physics class, homework consists of problems in which numerical values for physical quantities are given and the desired answer is a number with appropriate units. In contrast, most calculations in upper-division undergraduate physics are entirely symbolic. Despite the need to learn symbolic manipulation, students are often…
Descriptors: Physics, Introductory Courses, Undergraduate Students, Problem Solving
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Bosman, Lisa; Soto, Esteban; Varela, Thaís Ferraz; Wollega, Ebisa – Teaching Statistics: An International Journal for Teachers, 2023
Statistical knowledge is required for students in a range of disciplines. However, there are limited educator resources that exist for applying statistics to solve real-world problems. This investigation provides one approach to teaching statistics using entrepreneurial-minded learning (as a way to connect real-world applications and value…
Descriptors: Statistics Education, Introductory Courses, Problem Solving, Entrepreneurship
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Barron J. Montgomery; Argenta M. Price; Carl E. Wieman – Physical Review Physics Education Research, 2024
A major goal of physics education is to develop strong problem-solving skills for students. To become expert problem solvers, students must have opportunities to deliberately practice those skills. In this work, we adopt a previously described definition of problem solving that consists of a set of 29 decisions made by expert scientists. We…
Descriptors: Undergraduate Students, Physics, Decision Making, Science Education
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J. Caleb Speirs; MacKenzie R. Stetzer; Beth A. Lindsey – Physical Review Physics Education Research, 2024
Over the course of the introductory calculus-based physics course, students are often expected to build conceptual understanding and develop and refine skills in problem solving and qualitative inferential reasoning. Many of the research-based materials developed over the past 30 years by the physics education research community use sequences of…
Descriptors: Physics, Science Education, Network Analysis, Calculus
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Koenig, Kathleen; Maries, Alexandru; Teese, Robert; Chabot, Michelle – Physics Teacher, 2022
Students in introductory college physics often have wide ranges of preparation, making it challenging to deliver effective instruction for all. While numerous educational products and strategies have been shown to be broadly effective, there is a need for research-based online materials that support personalized learning and focus specifically on…
Descriptors: Science Instruction, College Science, Introductory Courses, Physics
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Voigt, Matthew; Wynn, Lynda; Bjorkman, Katie; Lo, Stanley M. – PRIMUS, 2023
In this paper, we briefly introduce three theoretical frameworks for mathematical identity and why they matter to practitioners teaching undergraduate mathematics courses. These frameworks are narrative identities, communities of practice, and figured worlds. After briefly describing each theory, we provide examples of how each framework can be…
Descriptors: Undergraduate Students, Self Concept, Mathematics Education, College Mathematics
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