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Duran, Meltem; Dökme, Ilbilge – EURASIA Journal of Mathematics, Science & Technology Education, 2016
The purpose of this study is to determine the effect of an activity set developed according to the inquiry-based learning (IBL) approach in the unit "Particulate Structure of Matter" on students' critical-thinking skills in science and technology courses. The study was conducted with 90 students from the 6th grade attending four, 6th…
Descriptors: Active Learning, Inquiry, Critical Thinking, Thinking Skills
Chiu, Chiung-Hui; Cheng, Hsiao-Wei; Wu, Chiu-Yi – Journal of Educational Research, 2016
The authors examined whether applying questioning review better enhances elementary level students' learning from technology-enhanced coediting-based note taking than does traditional reading review. A nonequivalent comparison group quasi-experimental design was implemented and replicated on four independent units. Two sixth grade elementary…
Descriptors: Reading, Reading Instruction, Reading Strategies, Elementary School Students
Hushman, Carolyn J.; Marley, Scott C. – Journal of Educational Research, 2015
The authors investigated whether the amount of instructional guidance affects science learning and self-efficacy. Sixty 9- and 10-year-old children were randomly assigned to one of the following three instructional conditions: (a) guided instruction consisting of examples and student-generated explanations, (b) direct instruction consisting of a…
Descriptors: Elementary School Students, Self Efficacy, Science Education, Science Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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