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Radford, Mike – Oxford Review of Education, 2008
The dominant discourse in research, management and teaching is one that may loosely be characterised as that of prediction and control. The objective of research is to identify causal correlations within policy, management, teaching strategies and educational outcomes that are sufficiently robust as to be able to predict outcomes and make…
Descriptors: Models, Educational Objectives, Outcomes of Education, Prediction
Peer reviewedNewton, Douglas P. – Learning and Instruction, 1996
The understanding of cause and effect situations is described in terms of the construction of a generative mental model and is exemplified through instances from science teaching. The absence of understanding is described in terms of failure of construction, reconstruction, or allied processes. (Author/SLD)
Descriptors: Causal Models, Comprehension, Constructivism (Learning), Science Education
McNulty, Raymond J.; Quaglia, Russell J. – School Administrator, 2007
Rigor, relevance, and relationships are three elements that provide the hallmark for education today. These three elements are integrally connected; if one is missing in a teacher's teaching practices, he or she is not doing his or her best to prepare students for success in school and in life. To ensure the inclusion of both rigor and relevance,…
Descriptors: Academic Achievement, Difficulty Level, Relevance (Education), Teacher Student Relationship
McDuffie, Kimberly A.; Scruggs, Thomas E. – Intervention in School and Clinic, 2008
In response to recent trends and legislation, the concept of implementing evidence-based practices has become a critical component of contemporary schooling. It is important that teachers and families of students with disabilities understand the role that qualitative research plays in determining whether a practice is in fact evidence based.…
Descriptors: Qualitative Research, Disabilities, Special Education, Evidence
Rubin, Donald B. – Journal of Educational and Behavioral Statistics, 2004
Inference for causal effects is a critical activity in many branches of science and public policy. The field of statistics is the one field most suited to address such problems, whether from designed experiments or observational studies. Consequently, it is arguably essential that departments of statistics teach courses in causal inference to both…
Descriptors: Undergraduate Students, Public Policy, Statistical Inference, Graduate Students
Besson, Ugo – Research in Science and Technological Education, 2004
The idea of causality is central in science and has long given rise to debate among philosophers and scientists. While the tendency to avoid causality seems to have become dominant in science and philosophy, research in science education has shown the strong presence in common reasoning of causal explanations, often conceived as a 'mechanism'…
Descriptors: Sciences, Science Education, Physics, Causal Models
Correnti, Richard; Rowan, Brian – American Educational Research Journal, 2007
This study examines patterns of literacy instruction in schools adopting three of America's most widely disseminated comprehensive school reform (CSR) programs (the Accelerated Schools Project, America's Choice, and Success for All). Contrary to the view that educational innovations seldom affect teaching practices, the study found large…
Descriptors: School Restructuring, Improvement Programs, Instructional Improvement, Educational Change
Hong, Guanglei; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2008
The authors propose a strategy for studying the effects of time-varying instructional treatments on repeatedly observed student achievement. This approach responds to three challenges: (a) The yearly reallocation of students to classrooms and teachers creates a complex structure of dependence among responses; (b) a child's learning outcome under a…
Descriptors: Elementary School Mathematics, Grade 4, Probability, Teaching Methods
Reiss, Patricia, P.; Zhang, Shuqiang – Online Submission, 2006
Girls consistently out perform boys in mathematics in Hawai'i. Starting from the premise that literacy is a prerequisite for mathematics learning, a causal model was proposed to account for gender differences in mathematics on multiple choice (MC) and constructed response (CR) items in conjunction with the effects of reading and writing. Two…
Descriptors: Females, Males, Mathematics Education, Causal Models
Peer reviewedLottes, Ilsa L.; And Others – Teaching Sociology, 1996
Defines and illustrates basic concepts of dichotomous logistic regression (DLR) and presents strategies for teaching these concepts. Strategies include using analogies between ordinary least squares regression and logistic regression; illustrating concepts with contingency tables; and linking logistic regression concepts to interpretation of…
Descriptors: Analysis of Variance, Causal Models, Higher Education, Instructional Improvement
Wen, Meichun Lydia; Tsai, Chin-Chung; Lin, Hung-Ming; Chuang, Shih-Chyueh – Computers and Education, 2004
Through a LISREL analysis, this study validated the Constructivist Internet-based Learning Environment Survey (CILES). CILES consisted of six scales, sorted by two aspects. The first aspect, the cognitive-metacognitive aspect, included the scales of student negotiation, inquiry learning, and reflective thinking, whereas the second aspect, the…
Descriptors: Foreign Countries, Causal Models, Metacognition, Constructivism (Learning)
Peer reviewedLapadat, Judith C. – Journal of Educational Psychology, 2002
Causal modeling was used to examine how primary students' language ability interacted with pace and redundancy of instructional language during an expository science lesson to explain students' attention and learning. Language ability and pace, mediated by students' attention to the lesson, accounted for variance in learning outcomes. Higher…
Descriptors: Aptitude Treatment Interaction, Causal Models, Classroom Techniques, Language Aptitude
Perkins, David N.; Grotzer, Tina A. – Studies in Science Education, 2005
This article argues that an important source of the difficulties posed by particular concepts and theories is the narrow range of "types of causal models" with which most learners are familiar. Most learners are familiar with relatively simple styles of causal models, but many concepts and theories in science depend on styles…
Descriptors: Causal Models, Scientific Concepts, Intervention, Inquiry
Stuart, Elizabeth A. – Educational Researcher, 2007
Education researchers, practitioners, and policymakers alike are committed to identifying interventions that teach students more effectively. Increased emphasis on evaluation and accountability has increased desire for sound evaluations of these interventions; and at the same time, school-level data have become increasingly available. This article…
Descriptors: Research Methodology, Computation, Causal Models, Intervention
Purcell-Gates, Victoria; Duke, Nell K.; Martineau, Joseph A. – Reading Research Quarterly, 2007
This study explored, with both experimental and correlational designs, the roles of (a) authentic, communicatively functional reading and writing and (b) the explicit explanation of genre function and features on growth in genre-specific reading and writing abilities of children in grades two and three. The genres used for this exploration were…
Descriptors: Grade 2, Grade 3, Science Instruction, Literacy Education

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