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Alsina, Ángel; Salgado, María – International Journal of Science and Mathematics Education, 2022
The aim of this study is to provide data to better understand the processes of early mathematical modelling. According to this, an early mathematical modelling activity carried out by 21 Spanish schoolchildren aged 5-6 years is analysed, using the validated tool "Rubric for the Evaluation of Mathematical Modelling Processes" (REMMP). The…
Descriptors: Mathematical Models, Mathematics Instruction, Scoring Rubrics, Prior Learning
Emily M. Stump; Mark Hughes; Gina Passante; N. G. Holmes – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] Uncertainty is an important concept in physics laboratory instruction. However, little work has examined how students reason about uncertainty beyond the introductory (intro) level. In this work we aimed to compare intro and beyond-intro…
Descriptors: Student Attitudes, Scientific Attitudes, Physics, Introductory Courses
Ngu, Bing Hiong; Phan, Huy P. – International Journal of Mathematical Education in Science and Technology, 2022
Capitalizing on cognitive load theory and learning by analogy, we propose two instructional methods to learn a complex linear equation (e.g. two-step equation) by building on prior knowledge of a simpler linear equation (e.g. one-step equation). We will examine the proposal theoretically in this paper. In line with the design principles of…
Descriptors: Short Term Memory, Schemata (Cognition), Prior Learning, Cognitive Ability
Loraine Glidewell; Jennifer Jacobs; Anna-Ruth Allen; William Penuel; Abraham S. Lo – Rural Educator, 2025
This article presents a comparative case analysis of three U.S. rural science teachers who participated in an online course focused on designing assessments aligned with the Framework for K-12 Science Education and the Next Generation Science Standards (NGSS). Data from surveys, designed assessments, classroom observations, and interviews were…
Descriptors: Rural Schools, Science Teachers, Science Education, Comparative Analysis
Cody, Christa; Maniktala, Mehak; Lytle, Nicholas; Chi, Min; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2022
Research has shown assistance can provide many benefits to novices lacking the mental models needed for problem solving in a new domain. However, varying approaches to assistance, such as subgoals and next-step hints, have been implemented with mixed results. Next-Step hints are common in data-driven tutors due to their straightforward generation…
Descriptors: Comparative Analysis, Prior Learning, Intelligent Tutoring Systems, Problem Solving
Jordan, Greg Madison – ProQuest LLC, 2022
Software has become central to every part of modern life and supports everything from managing personal schedules to managing global supply chain systems. In creating new or updating existing software, software developers often need to incorporate new technology. When software developers learn new technology using tutorials, their experience with…
Descriptors: Computer Software, Prior Learning, Technological Literacy, Networks
Tan, Saw Fen; Din Eak, Arathai; Ooi, Li Hsien; Abdullah, Anna Christina – Asian Association of Open Universities Journal, 2021
Purpose: The purpose of this study aims to compare the academic performance and types of learning strategies used by APEL and regular entry undergraduates. It also explored the relationship between the academic performance and the types of learning strategies utilised by these two groups of undergraduate. Design/methodology/approach: This…
Descriptors: Learning Strategies, Academic Achievement, Comparative Analysis, Prior Learning
Sung-Sang Yoo; Gahyung Kim; Soo Jung La; Yoojeo Sung – International Journal of Sustainability in Higher Education, 2024
Purpose: This paper explores how sustainability consciousness varies among undergraduate students at a higher education institution in the Republic of Korea. Based on the analyses of survey data, this paper aims to understand the present state and future prospect of education for sustainable development, specifically within higher education in the…
Descriptors: Sustainability, Undergraduate Students, Goodness of Fit, Sustainable Development
Jihoon Kang; Jina Kim – Journal of Baltic Science Education, 2024
While existing studies have underscored the educational benefits of generating explanatory hypotheses (EHs) in response to unexpected outcomes, empirical research on the underlying mechanisms driving their effectiveness in science learning remains limited. Thus, this study aimed to empirically examine the effectiveness of generating an EH for…
Descriptors: Science Instruction, Learning Processes, Protocol Analysis, Scientific Concepts
Bruce M. May – Pythagoras, 2024
A cohort of pre-service mathematics students was exposed to a teaching strategy based on retrieval practice and test-potentiated learning. The aim of the study was to determine how high and low prior topic knowledge study participants compare in terms of their procedural fluency and conceptual understanding after exposure to the teaching strategy.…
Descriptors: Prior Learning, Mathematics Instruction, Mathematics Skills, Problem Solving
Krijtenburg-Lewerissa, Kim; Pol, Henk; Brinkman, Alexander; van Joolingen, Wouter – Physics Education, 2022
Quantum mechanics (QM) has become part of many secondary school curricula. These curricula often do not include the mathematical tools for a formal, mathematical introduction of QM. QM therefore needs to be taught at a more conceptual level, but making secondary school students understand counterintuitive QM concepts without introducing…
Descriptors: Prior Learning, Physics, Science Instruction, Intervention
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
Weisberg, Deena Skolnick; Hopkins, Emily J. – Infant and Child Development, 2020
How do young children decide which events can happen within fictional stories (extension) and learn new information from these stories (export)? In two studies, we investigate these two issues as well as the influence of story genre (realistic or fantastical) on these processes. Preschoolers (N = 192) heard either a realistic or fantastical story…
Descriptors: Fiction, Literary Genres, Fantasy, Preschool Children
Anabela Abreu Malpique; Debora Valcan; Deborah Pino-Pasternak; Susan Ledger; Margaret Merga – Australian Educational Researcher, 2024
In many classrooms across the globe, students are expected to comprehend and produce handwritten and computer-generated texts as soon as they start school. As we progress towards digitalisation in education, it has become necessary to understand the effects of writing modality on students' literacy performance and development. The current…
Descriptors: Effect Size, Writing Achievement, Reading Achievement, Handwriting
Reese Butterfuss; Kathryn S. McCarthy; Ellen Orcutt; Panayiota Kendeou; Danielle S. McNamara – Reading and Writing: An Interdisciplinary Journal, 2024
Readers often struggle to identify the main ideas in expository texts. Existing research and instruction provide some guidance on how to encourage readers to identify main ideas. However, there is substantial variability in how main ideas are operationalized and how readers are prompted to identify main ideas. This variability hinders…
Descriptors: Reading Processes, Reading Comprehension, Reading Instruction, Best Practices

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