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Development of Problem-Solving Skills Supported by Metacognitive Scaffolding: Insights from Students' Written Work
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Kimberly Vo; Mahbub Sarkar; Paul J. White; Elizabeth Yuriev – Chemistry Education Research and Practice, 2024
Despite problem solving being a core skill in chemistry, students often struggle to solve chemistry problems. This difficulty may arise from students trying to solve problems through memorising algorithms. Goldilocks Help serves as a problem-solving scaffold that supports students through structured problem solving and its elements, such as…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Chemistry, Science Instruction
Equilibrium States and Transition Processes in Electric Circuits: Requirements for a Deeper Understanding
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Hermann Härtel – European Journal of Physics Education, 2021
Ohm's law and Kirchhoff's rules refer to stationary states and do not provide any indications of the always-present transition processes that connect these states and cause their respective setting. Through the use of suitable simulation programs these transition processes are accessible to classroom activities and allow a deeper and more coherent…
Descriptors: Physics, Science Instruction, Scientific Concepts, Teaching Methods
The Efficacy of Instruction in Application of Mole Ratios and Submicro- and Macro-Scopic Equivalent Forms of the Mole within the Unit Factor Method
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Stott, Angela Elisabeth – Chemistry Education Research and Practice, 2023
The unit factor method, a generic strategy for solving any proportion-related problem, is known to be effective at reducing cognitive load through unit-cancellation providing step-by-step guidance. However, concerns have been raised that it can be applied mindlessly. This primarily quantitative prepost study investigates the efficacy of…
Descriptors: Chemistry, Science Instruction, Instructional Effectiveness, Teaching Methods
AI-Driven Ethnoscience Learning: Enhancing Physics Education through Malay Cultural Insights
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Jufrida Jufrida; Wawan Kurniawan; M. Furqon; Khairul Anwar; Hebat Shidow Falah; Cicyn Riantoni – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study aims to explore the innovative integration of machine learning techniques into project-based learning rooted in Malay ethnoscience in Jambi, Indonesia. The research introduces a novel framework that utilizes educational data mining to personalize culturally responsive STEM education in under-resourced public schools.…
Descriptors: Physics, Science Instruction, Learning Analytics, Algorithms
An Approach to Semantic Educational Content Mining Using NLP
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Aisha Abdulmohsin Al Abdulqader; Amenah Ahmed Al Mulla; Gaida Abdalaziz Al Moheish; Michael Jovellanos Pinero; Conrado Vizcarra; Abdulelah Al Gosaibi; Abdulaziz Saad Albarrak – International Association for Development of the Information Society, 2022
The COVID-19 epidemic had caused one of the most significant disruptions to the global education system. Many educational institutions faced sudden pressure to switch from face-to-face to online delivery of courses. The conventional classes are no longer the primary means of delivery; instead, online education and resources have become the…
Descriptors: COVID-19, Pandemics, Teaching Methods, Online Courses
Progressive Transitions from Algorithmic to Conceptual Understanding in Student Ability To Solve Chemistry Problems: A Lakatosian Interpretation.
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Niaz, Mansoor – 1994
The main objective of this study is to construct models based on strategies students use to solve chemistry problems and to show that these models form sequences of progressive transitions similar to what Lakatos (1970) in the history of science refers to as progressive 'problemshifts' that increase the explanatory' heuristic power of the models.…
Descriptors: Algorithms, Chemistry, Classroom Research, Concept Formation