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Kubsch, Marcus; Hamerski, Patti C. – Physics Teacher, 2022
Energy is a disciplinary core idea and a cross-cutting concept in the K-12 Framework for Science Education and the Next Generation Science Standards (NGSS). As numerous authors point out, the energy model in these standards emphasizes the connections between energy and systems. Using energy ideas to interpret or make sense of phenomena means…
Descriptors: Energy, Science Instruction, Scientific Concepts, Models
Moonhyun Han; Janghee Uhm – International Journal of Science and Mathematics Education, 2024
This qualitative case study investigated how computational models can help students engage in scientific practice and influence their emotional, epistemic, and conceptual aspects. Twenty-four sixth-graders were guided to conduct scientific practices as they predicted and modified the computational models on food web using StarLogo Nova. Three…
Descriptors: Grade 6, Thinking Skills, Computation, Models
Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2020
Learning standards for K-12 science education emphasize the importance of engaging students in practices that scientists perform in their profession. K-12 teachers are expected to engage students in scientific modeling, which entails constructing, testing, evaluating, and revising their own models of science phenomena while pursuing an epistemic…
Descriptors: Coding, Science Education, Science Instruction, Models
Gombert, Sebastian; Di Mitri, Daniele; Karademir, Onur; Kubsch, Marcus; Kolbe, Hannah; Tautz, Simon; Grimm, Adrian; Bohm, Isabell; Neumann, Knut; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Formative assessments are needed to enable monitoring how student knowledge develops throughout a unit. Constructed response items which require learners to formulate their own free-text responses are well suited for testing their active knowledge. However, assessing such constructed responses in an automated fashion is a complex task…
Descriptors: Coding, Energy, Scientific Concepts, Formative Evaluation
Apple, Lillian; Baunach, John; Connelly, Glenda; Gahlhoff, Sonia; Romanowicz, Colleen Megowan; Vieyra, Rebecca Elizabeth; Walker, Lucas – Physics Teacher, 2021
Multiple initiatives contend that all students should master computational thinking, including the "Next Generation Science Standards, the K-12 Framework for Computational Thinking," and Code.org. In turn, many physics teachers have begun to explore a variety of approaches to integrating computational modeling through programming. These…
Descriptors: Science Instruction, High Schools, Secondary School Science, Physics
Adler, Rachel F.; Kim, Hanna – Education and Information Technologies, 2018
It is now required for teachers to incorporate computational thinking (CT) into their science classes. Our research modifies the existing structure of a science methods course for preservice teachers to include CT via modeling and simulations. In the first study, preservice teachers were introduced to the basics of coding through an Hour of Code…
Descriptors: Thinking Skills, Computation, Science Instruction, Methods Courses
Park, Su-Kyeong – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study proposed an analytic framework for coding students' dialogic argumentation and investigated the characteristics of the small-group argumentation pattern observed in modeling-based learning. The participants were 122 second grade high school students in South Korea divided into an experimental and a comparison group. Modeling-based…
Descriptors: Foreign Countries, High School Students, Persuasive Discourse, Discourse Analysis
Lin, Yulan I.; Son, Ji Y.; Rudd, James A., II – International Journal of Science Education, 2016
Experts are more proficient in manipulating and translating between multiple representations (MRs) of a given concept than novices. Studies have shown that instruction using MR can increase student understanding of MR, and one model for MR instruction in chemistry is the chemistry triplet proposed by Johnstone. Concreteness fading theory suggests…
Descriptors: Chemistry, Science Instruction, Scientific Concepts, Teaching Methods
Prevost, Luanna B.; Smith, Michelle K.; Knight, Jennifer K. – CBE - Life Sciences Education, 2016
Previous work has shown that students have persistent difficulties in understanding how central dogma processes can be affected by a stop codon mutation. To explore these difficulties, we modified two multiple-choice questions from the Genetics Concept Assessment into three open-ended questions that asked students to write about how a stop codon…
Descriptors: Science Instruction, Genetics, Scientific Concepts, Scoring
Davenport, Jodi L.; Silberglitt, Matt; Boxerman, Jonathan; Olson, Arthur – Grantee Submission, 2014
3D models derived from actual molecular structures have the potential to transform student learning in biology. We share findings related to our research questions: 1) what types of interactions with a protein folding kit promote specific learning objectives?, and 2) what features of the instructional environment (e.g., peer interactions, teacher…
Descriptors: Geometric Concepts, Depth Perception, Spatial Ability, Models
Jacobson, Michael J.; Kim, Beaumie; Pathak, Suneeta; Zhang, BaoHui – Interactive Learning Environments, 2015
This research explores issues related to the sequencing of structure that is provided as pedagogical guidance. A study was conducted that involved grade 10 students in Singapore as they learned concepts about electricity using four NetLogo Investigations of Electricity agent-based models. It was found that the low-to-high structure learning…
Descriptors: Grade 10, High School Students, Energy, Pretests Posttests
Didis, Nilüfer; Eryilmaz, Ali; Erkoç, Sakir – Physical Review Special Topics - Physics Education Research, 2014
This paper is the first part of a multiphase study examining students' mental models about the quantization of physical observables--light, energy, and angular momentum. Thirty-one second-year physics and physics education college students who were taking a modern physics course participated in the study. The qualitative analysis of data revealed…
Descriptors: Science Instruction, Cognitive Structures, Models, Visualization
Marshall, Jilll A.; Castillo, Adam J.; Cardenas, M. Bayani – Journal of Geoscience Education, 2015
We investigated the effect of modeling and visualization resources on upper-division, undergraduate and graduate students' performance on an open-ended assessment of their understanding of physical hydrology. The students were enrolled in one of five sections of a physical hydrology course. In two of the sections, students completed homework…
Descriptors: Earth Science, Science Instruction, Scientific Concepts, Concept Formation
Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2013
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…
Descriptors: Educational Research, Data Collection, Data Analysis, Generalizability Theory
Gojkošek, Mihael; Sliško, Josip; Planinšic, Gorazd – Center for Educational Policy Studies Journal, 2013
The transfer of knowledge is considered to be a fundamental goal of education; therefore, knowing and understanding the conditions that influence the efficiency of the transfer from learning activity to problem solving play a decisive role in the improvement of science education. In this article, the results of a study of 196 high school students'…
Descriptors: Foreign Countries, Learning Activities, Student Improvement, Skill Development
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