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Fokides, Emmanuel; Atsikpasi, Penelope; Karageorgou, Dorothea – Technology, Knowledge and Learning, 2020
Primary school students have trouble grasping concepts related to plants. Their misconceptions are also notable. On the other hand, mobile devices (such as tablets) and their apps, are considered effective educational tools. For examining whether the same holds true in relation to plants, we carried out a project, having as a target-group 263…
Descriptors: Elementary School Students, Plants (Botany), Misconceptions, Handheld Devices
Mohammadjani, Farzad; Tonkaboni, Forouzan – International Education Studies, 2015
The aim of the present research is to investigate a comparison between the effect of cooperative learning teaching method and lecture teaching method on students' learning and satisfaction level. The research population consisted of all the fourth grade elementary school students of educational district 4 in Shiraz. The statistical population…
Descriptors: Teaching Methods, Cooperative Learning, Questionnaires, Test Reliability
McCoy, Leah P., Ed. – Online Submission, 2009
This document presents the proceedings of the Annual Research Forum. Included herein are the following 29 studies: (1) What Factors Influence Algebra 1 Students' Attitudes toward Math? (Elizabeth A. Allen); (2) Low-Income Student and Teacher Impressions of Kagan Cooperative Learning (Andrea Anderson); (3) Developing and Implementing an Articulated…
Descriptors: High Schools, Student Attitudes, Oral Reading, Writing Strategies
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