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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
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)
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
Allan Jeong; Hyoung Seok-Shin – International Association for Development of the Information Society, 2023
The Jeong (2020) study found that greater use of backward and depth-first processing was associated with higher scores on students' argument maps and that analysis of only the first five nodes students placed in their maps predicted map scores. This study utilized the jMAP tool and algorithms developed in the Jeong (2020) study to determine if the…
Descriptors: Critical Thinking, Learning Strategies, Concept Mapping, Learning Analytics
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
Larmel Dimatulac Madrilejos – ProQuest LLC, 2024
The study examines the perspectives of using the Desmos calculator of Algebra I students' conceptual understanding and procedural fluency to write, graph, and solve linear equations in Algebra I STAAR. While the students have continuously used technology for mathematics assessment, emergent bilingual students in South Texas still need help passing…
Descriptors: Problem Solving, Equations (Mathematics), Causal Models, Concept Formation
Alexander Honold – ProQuest LLC, 2022
One of the core dimensions of historical and social science inquiry is "[d]eveloping questions and planning inquiries" according to the National Council for the Social Studies' College, Career, and Civic Life (C3) Framework. Yet existing education research, instructional resources, and assessment have ignored how students frame problems…
Descriptors: Social Studies, Social Science Research, Inquiry, Problem Solving
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
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
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
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
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
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
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
Meléndez, Juan C.; Alfonso-Benlliure, Vicente; Mayordomo, Teresa; Sales, Alicia – Creativity Research Journal, 2016
The purpose of the study was to test a model of causal relationships among cognitive reserve (CR), personality variables such as Neuroticism and Openness to experience, and divergent thinking (DT), independently evaluating performance in different domains (verbal and graphic). It was hypothesized that CR, Openness, and Neuroticism would each…
Descriptors: Creative Thinking, Older Adults, Predictor Variables, Causal Models