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Abdelilah Salim Sehlaoui; Karen Michelle Potter; Laurel L. Byrne – Review of Education, 2025
The purpose of this qualitative meta-analysis (QMA) is to provide a concise and comprehensive picture of findings across qualitative studies to answer this question: What factors contribute to systematically closing the opportunity gap for all students, and particularly for students labelled linguistically and culturally diverse? The ultimate goal…
Descriptors: Educational Opportunities, Achievement Gap, Student Diversity, Meta Analysis
Cullinane, Alison; Hillier, Judith; Childs, Ann; Erduran, Sibel – Research in Science Education, 2023
This article utilizes a framework for classifying different scientific methods suggested by a philosopher of science (Brandon "Synthese," 99, 59-73, 1994) called Brandon's Matrix. It presents findings from teachers who took part in a funded project in England that looked at the nature of scientific methods in science investigations.…
Descriptors: Teacher Attitudes, Matrices, Science Instruction, Teaching Methods
Dolan, Erin; Grady, Julia – Journal of Science Teacher Education, 2010
Teaching by inquiry is touted for its potential to encourage students to reason scientifically. Yet, even when inquiry teaching is practiced, complexity of students' reasoning may be limited or unbalanced. We describe an analytic tool for recognizing when students are engaged in complex reasoning during inquiry teaching. Using classrooms that…
Descriptors: Thinking Skills, Teaching Methods, Inquiry, Science Instruction
Clark, Ruth Colvin – Performance and Instruction, 1986
Describes Merrill's content performance matrix in terms of content (facts, concepts, processes, procedures, and principles); levels of performance (recall and applying content in job-like context); and instructional methods that support each task on the matrix (information displays and practice exercises). (MBR)
Descriptors: Classification, Concept Teaching, Course Content, Job Training
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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