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Direct linkSung, 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
Download full textThompson, Barry R. – European Journal of Educational Sciences, 2015
A study was recently conducted in a suburban middle school regarding two teaching strategies. Ninety-three eighth grade "students" were administered a pretest regarding classification as related to taxonomy. Thirty of the students conducted an inquiry lab concerning classification. They then participated in a class discussion regarding…
Descriptors: Lecture Method, Suburban Schools, Early Adolescents, Teaching Methods
Tseng, Chung-Hsien; Tuan, Hsiao-Lin; Chin, Chi-Chin – Research in Science Education, 2013
This study has two purposes: the first is to explore experienced science teachers' perspectives on inquiry teaching, and the second is to categorize these perspectives into patterns. Fifteen junior high school science teachers experienced at inquiry teaching were selected, and a semi-structured interview was conducted to collect the teachers'…
Descriptors: Inquiry, Active Learning, Science Instruction, Science Teachers
Tustin, Rachel Sarah – ProQuest LLC, 2012
Virtual K-12 schools have rapidly become a popular choice for parents and students in the last decade. However, little research has been done on the instructional practices used in virtual courses. As reflected in the central research question, the purpose of this study was to explore how teachers provided instruction for Grade 7-10 students in…
Descriptors: Virtual Classrooms, Educational Technology, Grade 7, Grade 8
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science 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
