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Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models
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Hanisch, Susan; Eirdosh, Dustin – Science & Education, 2021
Teleological reasoning is viewed as a major hurdle to evolution education, and yet, eliciting, interpreting, and reflecting upon teleological language presents an arguably greater challenge to the evolution educator and researcher. This article argues that making explicit the role of behavior as a causal factor in the evolution of particular…
Descriptors: Science Instruction, Teaching Methods, Science Education, Evolution
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Cummiskey, Kevin; Adams, Bryan; Pleuss, James; Turner, Dusty; Clark, Nicholas; Watts, Krista – Journal of Statistics Education, 2020
Over the last two decades, statistics educators have made important changes to introductory courses. Current guidelines emphasize developing statistical thinking in students and exposing them to the entire investigative process in the context of interesting research questions and real data. As a result, many concepts (confounding, multivariable…
Descriptors: Statistics, Teaching Methods, Inferences, Guidelines
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Swain, Randall D. – Teaching Public Administration, 2019
The purpose of this essay is to illustrate the value of applying the lessons of successful historical battlefield commanders to teach leadership concepts and theories. This article uses the experience of Napoleon Bonaparte's "Grande Armee" at the Battle of Austerlitz to illustrate these concepts. Utilizing Napoleon's success in this…
Descriptors: War, Administrators, Leadership Training, History
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Van Geert, Paul; Steenbeek, Henderien – Complicity: An International Journal of Complexity and Education, 2014
The notion of complexity--as in "education is a complex system"--has two different meanings. On the one hand, there is the epistemic connotation, with "Complex" meaning "difficult to understand, hard to control". On the other hand, complex has a technical meaning, referring to systems composed of many interacting…
Descriptors: Correlation, Educational Practices, Educational Policy, Educational Research
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Lietz, Petra; Matthews, Bobbie – Research in Higher Education, 2010
Many studies of changes in learning approaches have used data from different age groups at one point in time only (Gow and Kember, High Educ 19:307-322, 1990; Watkins and Hattie, Br J Educ Psychol 51:384-393, 1981) or have analyzed the effects of just two or three factors using single level analytical techniques (Cano, Br J Educ Psychol…
Descriptors: Undergraduate Students, Student Attitudes, Values, Teaching Methods
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Song, Liyan; Hannafin, Michael J.; Hill, Janette R. – Educational Technology Research and Development, 2007
Current teaching and learning methods reveal marked differences between how students approach learning and how instructors approach teaching. Little attention has been paid to understanding these differences and their implications for designing successful learning environments. The purpose of the paper is to introduce a framework for understanding…
Descriptors: Professional Development, Teaching Methods, Cognitive Structures, Causal Models
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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
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Newton, 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
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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
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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
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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)