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Wulff, Peter; Buschhüter, David; Westphal, Andrea; Nowak, Anna; Becker, Lisa; Robalino, Hugo; Stede, Manfred; Borowski, Andreas – Journal of Science Education and Technology, 2021
Reflecting in written form on one's teaching enactments has been considered a facilitator for teachers' professional growth in university-based preservice teacher education. Writing a structured reflection can be facilitated through external feedback. However, researchers noted that feedback in preservice teacher education often relies on…
Descriptors: Preservice Teachers, Physics, Reflection, Preservice Teacher Education
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Jescovitch, Lauren N.; Scott, Emily E.; Cerchiara, Jack A.; Merrill, John; Urban-Lurain, Mark; Doherty, Jennifer H.; Haudek, Kevin C. – Journal of Science Education and Technology, 2021
We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…
Descriptors: Science Instruction, Coding, Artificial Intelligence, Man Machine Systems
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Lee, Jaeyong; Lee, Gyeong-Geon; Hong, Hun-Gi – Journal of Science Education and Technology, 2023
Here, we describe the development and validation of an automatic assessment system that examines students' hand-drawn visual representations in free-response items. The data were collected from 1,028 students in the second through 11th grades in South Korea using two items from the Test About Particles in a Gas questionnaire (Novick &…
Descriptors: Freehand Drawing, Evaluation Methods, Elementary School Students, Secondary School Students
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Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
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Farrokhnia, Mohammadreza; Meulenbroeks, Ralph F. G.; van Joolingen, Wouter R. – Journal of Science Education and Technology, 2020
In recent years, student-generated stop-motion animations (SMAs) have been employed to support sharing, constructing, and representing knowledge in different science domains and across age groups from pre-school to university students. The purpose of this review is to give an overview of research in this field and to synthesize the findings. For…
Descriptors: Science Instruction, Teaching Methods, Animation, Comparative Analysis
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Lee, Tammy D.; Jones, M. Gail – Journal of Science Education and Technology, 2018
As science grows in complexity, science teachers face an increasing challenge of helping students interpret models that represent complex science systems. Little is known about how teachers select and use models when planning lessons. This mixed methods study investigated the pedagogical approaches and visual models used by elementary in-service…
Descriptors: Elementary School Teachers, Media Selection, Teaching Models, Teaching Methods