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Paul Engelschalt; Tom Bielik; Moritz Krell; Dirk Krüger; Annette Upmeier zu Belzen – International Journal of Science Education, 2024
The development of metaknowledge about models (MKM) and metaknowledge about the modelling process (MKP) are important in pre-service science teachers (PSTs) education. MKM refers to knowledge about the model's entities and its purposes, while MKP refers to knowledge about the components and structure of the modelling process. Assessing MKM and MKP…
Descriptors: Preservice Teachers, Knowledge Level, Epistemology, Models
Modelling of Interest in Out-Of-School Science Learning Environments: A Systematic Literature Review
Neher-Asylbekov, Simone; Wagner, Ingo – International Journal of Science Education, 2023
Out-of-school science learning environments enrich classroom education in many countries around the world. Numerous studies have been conducted on the effects of such learning environments, particularly their ability to promote interest. As different theories of interest were used in these studies, so far, no overview of this field of research…
Descriptors: After School Programs, Science Education, Outreach Programs, Student Interests
Ayça K. Fackler; Daniel K. Capps – International Journal of Science Education, 2024
The literature on scientific modelling practices in science education has provided a fruitful discussion on how learners tend to view models vs. how and what they should think about them. One approach is to teach students that models are abstractions so that they do not view them as a copy of phenomena they represent. Although teaching students…
Descriptors: Science Education, Scientific Concepts, Models, Science Instruction
Lin, Jing-Wen; Cheng, Tze-Shang; Linn, George – International Journal of Science Education, 2023
The demand for the Dongfeng Highway connecting Dongshi and Fengyuan, Taiwan, originates from a 7.3 ML earthquake disaster affecting residents' medical treatment and material transportation. The Dongfeng Highway route selection was identified as the socioscientific issues (SSI) and the Decision Factors Table and SageModeler (two representational…
Descriptors: Decision Making, Models, Science and Society, Science Instruction
Hsin-Yi Chang; Chen-Chung Liu; Chi-Ting Wen; Ming-Hua Chang; Shih-Hsun Fan Chiang; Fu-Kwun Hwang – International Journal of Science Education, 2024
One issue facing teachers who implement model-based instruction within the school system is the tight curricular schedule. The 'lesson objective tension' calls for investigations to address instructional issues such as how to organise modelling-based instruction at the curriculum level which is across multiple units. We investigated the effect of…
Descriptors: Computer Simulation, Virtual Classrooms, Laboratories, Models
Joaquín Cañero-Arias; Ángel Blanco-López; José María Oliva – International Journal of Science Education, 2024
This research integrates context-based learning and modelling. It presents a teaching-learning sequence (TLS) about the dissolution of gases in liquids using carbonated drinks as the context. The impact of the TLS is analysed in a longitudinal short-term study involving two groups of learners aged 13-14 years old (n=53). The results led us to…
Descriptors: Foreign Countries, Science Instruction, Models, Secondary School Science
Xiaoming Zhai; Yue Yin – International Journal of Science Education, 2024
Learning progressions (LPs) are considered to have great potential to improve pedagogical practices. However, even with LPs, teachers may still be unaware of the barriers that keep students from progressing; many are struggling with essential pedagogical strategies to support students' progression. This study thus proposed an educative LP (ELP), a…
Descriptors: Science Teachers, Beginning Teachers, Learning Trajectories, Lesson Plans
Chan, Kennedy Kam Ho – International Journal of Science Education, 2022
Pedagogical content knowledge (PCK) refers to the content-specific knowledge that teachers use to promote students' learning of specific subject matter. PCK comprises multiple knowledge components that interact with each other when enacted in teachers' instructional practices. For many years, researchers lacked a robust methodological approach to…
Descriptors: Pedagogical Content Knowledge, Science Teachers, Science Education, Teaching Methods
Tugba Yuksel; Lynn A. Bryan; Alejandra J. Magana – International Journal of Science Education, 2024
Quantum physics forms the basis for exciting new technologies, including quantum computers, quantum encryption, and quantum entanglement. The advancement of science and technology highlights the importance of mastering quantum physics and its applications, not only at the college level but also as early as high school. In this multiple case study,…
Descriptors: Undergraduate Students, Models, Quantum Mechanics, Science Instruction
Balabanoff, Morgan; Kaur, Simreen; Barbera, Jack; Moon, Alena – International Journal of Science Education, 2022
Across science disciplines, light is a common tool for measuring, characterizing, and catalysing molecules and molecular processes. Despite the ubiquity of light-based tools, little research has been done to investigate how students understand light and light-matter interactions (LMI). This topic is typically first introduced in first-year…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Light
Rozenszajn, Ronit; Kavod, Galia Zer; Machluf, Yossy – International Journal of Science Education, 2021
The Repertory Grid Technique (RGT) is a qualitative method, based on the Personal Construct Psychology (PCP) theory, which provides a powerful tool to elicit tacit personal construction systems, with minimal intervention and interpretation. Although the contributory potential of the RGT as a cognitive research tool in science education has been…
Descriptors: Cognitive Structures, Psychology, Theories, Science Education
Enderle, Patrick; Grooms, Jonathon; Sampson, Victor; Sengul, Ozden; Koulagna, Yotah – International Journal of Science Education, 2022
We examine how a unique professional learning experience for teachers, which consists of an opportunity to (a) co-design a new instructional model intended to give students opportunities to participate in scientific argumentation, (b) develop instructional materials based on the new model, and then (c) use the materials inside their classrooms, is…
Descriptors: Persuasive Discourse, Science Instruction, Models, Teacher Attitudes
Capps, Daniel K.; Shemwell, Jonathan T. – International Journal of Science Education, 2020
An important research objective in modelling instruction is defining what students should learn about the model-referent relationship, as when unguided, they tend to errantly think of models as literal interpretations of their referents. Restating this problem we say students should learn about structure-preserving transformations between models…
Descriptors: Models, Science Process Skills, Science Education, Concept Formation
Bozzo, Giacomo; Lopez, Victor; Couso, Digna; Monti, Francesca – International Journal of Science Education, 2022
The role of virtual simulations in the evolution of primary school students' mental models about electrostatics is investigated by analysing the answers of two groups of 9-10 years old pupils inside instructional sequences that combine two hands-on activities using balloons and jackets with the same activities using PhET simulations: one group…
Descriptors: Science Instruction, Elementary School Science, Schemata (Cognition), Computer Simulation
Bennett, Steve; Gotwals, Amelia Wenk; Long, Tammy M. – International Journal of Science Education, 2020
In this study, we propose an 'Approach to Modeling' (AtM) framework for examining how undergraduates approach tasks that require modelling scientific phenomena. Our framework is adapted from Approach to Learning (AtL) theories and consists of three observable behavioural constructs: metacognition, generative thinking, and causal reasoning. Twenty…
Descriptors: Undergraduate Students, Biology, Metacognition, Thinking Skills