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Dvir, Michal; Ben-Zvi, Dani – Instructional Science: An International Journal of the Learning Sciences, 2023
Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…
Descriptors: Learning Processes, Computation, Numeracy, Attitudes
Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
Witherspoon, Eben B.; Ferrer, Nathaniel B.; Correnti, Richard R.; Stein, Mary Kay; Schunn, Christian D. – Instructional Science: An International Journal of the Learning Sciences, 2021
Teacher learning is a huge challenge in instructional change, but relatively little work has carefully examined the mechanisms by which teachers learn, in contrast to the extensive work on programs that help teachers learn and the high-leverage instructional practices that are strong predictors of student learning. Specifically, relatively little…
Descriptors: Teacher Education, Coaching (Performance), Learning Processes, Educational Practices
Coppens, Leonora C.; Hoogerheide, Vincent; Snippe, Elleke M.; Flunger, Barbara; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2019
Example-based learning (i.e., studying examples to learn a problem-solution procedure, often alternated with solving practice problems) leads to better learning outcomes than solving practice problems only, and video examples are increasingly being used in online and blended learning environments. Recent findings show that the presentation order…
Descriptors: Problem Solving, Academically Gifted, Student Motivation, Self Esteem
Blanch, Angel – Instructional Science: An International Journal of the Learning Sciences, 2015
The fluid and crystallized ("Gf-Gc") intelligence theory has been used extensively to evaluate the influence of cognitive abilities on educational outcomes within cross-sectional and longitudinal research designs. This study evaluated the contribution of fluid and crystallized abilities in the performance of a 1-week instructional…
Descriptors: Cognitive Ability, Intelligence, Learning Processes, Models
Clinton, Virginia – Instructional Science: An International Journal of the Learning Sciences, 2014
Student approaches to learning have been a popular area of research in educational psychology. One useful framework for understanding student approaches to learning is through Biggs' presage-process-product model. The purpose of this study is to examine the process stage of the 3P model. Undergraduate students (N = 67) thought aloud while…
Descriptors: Undergraduate Students, Educational Psychology, Student Attitudes, Learner Engagement
Van den Bossche, Piet; Gijselaers, Wim; Segers, Mien; Woltjer, Geert; Kirschner, Paul – Instructional Science: An International Journal of the Learning Sciences, 2011
To gain insight in the social processes that underlie knowledge sharing in teams, this article questions which team learning behaviors lead to the construction of a shared mental model. Additionally, it explores how the development of shared mental models mediates the relation between team learning behaviors and team effectiveness. Analyses were…
Descriptors: Teamwork, Cognitive Mapping, Models, Games
Ngu, Bing Hiong; Mit, Edwin; Shahbodin, Faaizah; Tuovinen, Juhani – Instructional Science: An International Journal of the Learning Sciences, 2009
Within the cognitive load theory framework, we designed and compared three alternative instructional solution formats that can be derived from a common static hierarchical network representation depicting problem structure. The interactive-solution format permitted students to search in self-controlled manner for solution steps, static-solution…
Descriptors: Prior Learning, Chemistry, Problem Solving, Models
Hmelo-Silver, Cindy E.; Chernobilsky, Ellina; Jordan, Rebecca – Instructional Science: An International Journal of the Learning Sciences, 2008
Trying to understand the complexity of computer-mediated problem-based learning environments is not easy. Sociocultural theory provides a theoretical framework for understanding such environments because it emphasizes the socially situated nature of learning and the critical role of tools in mediating learning. To examine how different aspects of…
Descriptors: Preservice Teachers, Speech Acts, Problem Based Learning, Learning Processes