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Allan Jeong; Renata Kuba – Knowledge Management & E-Learning, 2023
Including causal links in concept maps enables learners to meaningfully relate concepts to a larger context or problem in terms of how and where concepts apply within the chains of causal events that lead to a given goal or outcome. Given that higher quality maps are produced when students link and sequence events to flow temporally and…
Descriptors: Syntax, Semantics, Concept Mapping, Causal Models
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Lee-Peng Ng; Yuen-Onn Choong; Lok-Sin Kuar; Sok-Yee Teoh – SAGE Open, 2024
The main aim of this study is to examine the mediating effect of psychological capital (PsyCap) on the relationship between proactive personality and academic performance among undergraduates. A quantitative approach with a cross-sectional study was employed. The sample consisted of 390 undergraduate students from Malaysian private universities.…
Descriptors: Foreign Countries, Undergraduate Students, Self Efficacy, Resilience (Psychology)
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Cahit Erdem – Educational Studies, 2024
This study aimed to comparatively analyse the effects of problem-based learning model (PBLM) on cognitive outputs (CO). The study reviewed quasi-experimental studies on PBLM and CO, focusing on the cognitive outputs of thinking skills, problem-solving skill, and academic achievement. The quantitative data of these studies, comprising 56 articles…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Problem Based Learning
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Antosz, Patrycja; Szczepanska, Timo; Bouman, Loes; Polhill, J. Gareth; Jager, Wander – International Journal of Social Research Methodology, 2022
Even though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of "integrating" diverse causal relationships into coherent causal mechanisms. They mirror the crucial, multi-level…
Descriptors: Causal Models, Role, Correlation, Problem Solving
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Elwert, Felix; Pfeffer, Fabian T. – Sociological Methods & Research, 2022
Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…
Descriptors: Bias, Regression (Statistics), Evaluation Methods, Research
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Sharma, Kshitij; Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Journal of Computer Assisted Learning, 2021
When students are working collaboratively and communicating verbally in a technology-enhanced environment, the system cannot track what collaboration is happening outside of the technology, making it difficult to fully assess the collaboration of the students and adapt accordingly. In this article, we propose using gaze measures as a proxy for…
Descriptors: Cooperative Learning, Interpersonal Communication, Eye Movements, Problem Solving
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Chen, Lujie Karen; Ramsey, Joseph; Dubrawski, Artur – Journal of Educational Data Mining, 2021
Human one-on-one coaching involves complex multimodal interactions. Successful coaching requires teachers to closely monitor students' cognitive-affective states and provide support of optimal type, timing, and amount. However, most of the existing human tutoring studies focus primarily on verbal interactions and have yet to incorporate the rich…
Descriptors: Causal Models, Coaching (Performance), Statistical Analysis, Correlation
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Sales, Adam C.; Pane, John F. – Journal of Research on Educational Effectiveness, 2021
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…
Descriptors: Educational Technology, Use Studies, Randomized Controlled Trials, Mathematics Curriculum
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Elsawah, Sondoss; Ho, Allen Tim Luen; Ryan, Michael J. – INFORMS Transactions on Education, 2022
Systems thinking is recognized as an essential skill for understanding complex problem solving and decision making associated with many of the contemporary issues faced by individuals and communities. In this article, our goal is to contribute to the knowledge of curriculum and pedagogy of formal systems thinking teaching in higher education. We…
Descriptors: Systems Approach, Higher Education, Thinking Skills, Concept Formation
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Cox, Marjolein; Elen, Jan; Steegen, An – Review of International Geographical Education Online, 2019
The use of causal diagrams to externalize the mental representation of a problem is recognized to be an important step in solving complex problems. In geography education several global challenges taught about in class are highly complex due to the interconnectedness of many causes and consequences. A systems thinking approach might be helpful to…
Descriptors: Thinking Skills, Causal Models, Problem Solving, Teaching Methods
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Rokhmat, Joni; Marzuki; Wahyudi; Putrie, Syandy Dwirahayu – Journal of Turkish Science Education, 2019
Unlike general approaches to learning, the Causalitic-Thinking Approach, aims to construct phenomena that have more than one possible answer. However this approach requires scaffolding strategies. This study aims to investigate the strategy of developing scaffolding in learning with the Causalitic-Thinking Approach to increase students'…
Descriptors: Foreign Countries, Physics, Science Instruction, Secondary School Science
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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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Bao, Lei; Koenig, Kathleen; Xiao, Yang; Fritchman, Joseph; Zhou, Shaona; Chen, Cheng – Physical Review Physics Education Research, 2022
Abilities in scientific thinking and reasoning have been emphasized as core areas of initiatives, such as the Next Generation Science Standards or the College Board Standards for College Success in Science, which focus on the skills the future will demand of today's students. Although there is rich literature on studies of how these abilities…
Descriptors: Physics, Science Instruction, Teaching Methods, Thinking Skills
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Waismeyer, Anna; Meltzoff, Andrew N.; Gopnik, Alison – Developmental Science, 2015
How do young children learn about causal structure in an uncertain and variable world? We tested whether they can use observed probabilistic information to solve causal learning problems. In two experiments, 24-month-olds observed an adult produce a probabilistic pattern of causal evidence. The toddlers then were given an opportunity to design…
Descriptors: Toddlers, Young Children, Probability, Causal Models
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Öllinger, Michael; Hammon, Stephanie; von Grundherr, Michael; Funke, Joachim – Educational Technology Research and Development, 2015
Causal mapping is often recognized as a technique to support strategic decisions and actions in complex problem situations. Such drawing of causal structures is supposed to particularly foster the understanding of the interaction of the various system elements and to further encourage holistic thinking. It builds on the idea that humans make use…
Descriptors: Problem Solving, Causal Models, Cognitive Mapping, Computer Simulation
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