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Locatelli, Solange Wagner; Davidowitz, Bette – Chemistry Education Research and Practice, 2021
The objective of this work was to evaluate the implementation of a metavisual strategy for students to revise and self-regulate concepts arising in a study of a chemical reaction between ions. For this purpose, two chemistry education undergraduate students at a Brazilian public university carried out an investigative activity, involving…
Descriptors: Metacognition, Cognitive Style, Visualization, College Science
Aguiar, Joana G.; Correia, Paulo R. M. – Chemistry Education Research and Practice, 2016
In this paper, we explore the use of concept maps (Cmaps) as instructional materials prepared by teachers, to foster the understanding of chemistry. We choose fireworks as a macroscopic event to teach basic chemical principles related to the Bohr atomic model and matter-energy interaction. During teachers' Cmap navigation, students can experience…
Descriptors: Concept Mapping, Science Instruction, Cues, Chemistry
Koscianski, Andre; Ribeiro, Rafael Joao; da Silva, Sani Carvalho Rutz – Research in Science & Technological Education, 2012
Background: Advance organizers are instructional materials that help students use previous knowledge to make links with new information. Short animation movies are a possible format and are well suited for physics, as they can portray dynamic phenomena and represent abstract concepts. Purpose: The study aimed to determine guidelines for the…
Descriptors: Foreign Countries, Animation, Video Technology, Audiovisual Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis