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Kruit, Patricia; Oostdam, Ron; van den Berg, Ed; Schuitema, Jaap – Research in Science Education, 2020
Information on students' development of science skills is essential for teachers to evaluate and improve their own education, as well as to provide adequate support and feedback to the learning process of individual students. The present study explores and discusses the use of performance assessments as a diagnostic tool for formative assessment…
Descriptors: Performance Based Assessment, Science Teachers, Skill Development, Formative Evaluation
Mijares, Benjamin F., III – Online Submission, 2023
The result of the Division Achievement Test in Science administered to Grade 6 learners, out of six competencies included in MELCS, four competencies were identified as the "Least Learned" as they got a mastery level indicated as "Low Proficient". Thus, this developmental research aimed to develop and test supplementary…
Descriptors: Earth Science, Science Instruction, Educational Quality, Supplementary Reading Materials
Gross, Paul R. – Thomas B. Fordham Foundation & Institute, 2005
The mission of this review is to appraise the new draft NAEP science framework and to determine whether it is up to snuff. This is an evaluation of the September 30, 2005, draft document, Science Framework for the 2009 National Assessment of Educational Progress (Framework), developed for the National Assessment Governing Board. The criteria is…
Descriptors: Governing Boards, National Competency Tests, Evaluation Criteria, 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