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Lucy D'Agostino McGowan; Travis Gerke; Malcolm Barrett – Journal of Statistics and Data Science Education, 2024
This article introduces a collection of four datasets, similar to Anscombe's quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four datasets is generated based on a distinct causal mechanism: the first involves a collider, the second involves a confounder, the third involves a mediator, and the…
Descriptors: Statistics Education, Programming Languages, Statistical Inference, Causal Models
Jennifer Van Reet – Journal of Cognition and Development, 2024
Pretend play is often hypothesized in a global sense to be an effective context for young children's learning, but there is much still to learn about whether all types of information can be learned equally and whether all types of pretend play are equally beneficial. The present study tests whether preschoolers can learn a simple, novel causal…
Descriptors: Preschool Children, Preschool Education, Play, Conventional Instruction
Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Statistics Education Research Journal, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Causal Models, Statistical Inference, College Students
Elizabeth S. Park; Di Xu – Journal of Research on Educational Effectiveness, 2024
Growing literature documents the promise of active learning instruction in engaging students in college classrooms. Accordingly, faculty professional development (PD) programs on active learning have become increasingly popular in postsecondary institutions; yet, quantitative evidence on the effectiveness of these programs is limited. Using…
Descriptors: Active Learning, Learner Engagement, College Faculty, Faculty Development
Amal Ibourk; Lauren Wagner; Khadija Zogheib – Journal of Science Education and Technology, 2025
Elementary teachers require support through professional learning activities to enhance their climate change literacy and bolster their self-efficacy for teaching climate change. This study explores methods for supporting in-service elementary teachers' self-efficacy in climate change teaching by examining the impact of professional learning…
Descriptors: Elementary School Teachers, Climate, Pedagogical Content Knowledge, Self Efficacy
Menekse Eskici; Semih Çayak – Journal of Educational Technology and Online Learning, 2023
This study examines the relationship between teachers' technology proficiencies and their level of integrating technology into their lessons. In this research, which was designed in a relational survey model, as data collection tools, the "Technology Proficiency Self-Assessment Scale for 21st Century Learning" developed by Christensen…
Descriptors: Foreign Countries, Elementary Secondary Education, Technology Integration, Teacher Competency Testing
Elizabeth S. Park; Di Xu – Annenberg Institute for School Reform at Brown University, 2022
Growing literature documents the promise of active learning instruction in engaging students in college classrooms. Accordingly, faculty professional development (PD) programs on active learning have become increasingly popular in postsecondary institutions; yet, quantitative evidence on the effectiveness of these programs is limited. Using…
Descriptors: Active Learning, Learner Engagement, College Faculty, Faculty Development
Cabero-Almenara, Julio; Gutiérrez-Castillo, Juan Jesús; Guillén-Gámez, Francisco D.; Gaete-Bravo, Alejandra F. – Technology, Knowledge and Learning, 2023
The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A…
Descriptors: Digital Literacy, Academic Achievement, Higher Education, Predictor Variables
Wellmanns, Andrea; Schmiemann, Philipp – Journal of Biological Education, 2022
Feedback loop reasoning is an essential part of systems thinking, which includes the analysis and description of system behaviour and regulative measures. In feedback loops, every change can simultaneously represent a cause and an effect. Research on reasoning in feedback loops is limited to investigating students' existing mental models. This…
Descriptors: Feedback (Response), Science Instruction, Visual Aids, Physiology
Zangori, Laura; Ke, Li; Sadler, Troy D.; Peel, Amanda – International Journal of Science Education, 2020
Using socio-scientific issues (SSI) in the science learning environment can promote student motivation to learn and make learning experiences more meaningful. Embedding model-based reasoning opportunities in science lessons can promote substantial science learning. However, how these both work together to promote science learning is a little…
Descriptors: Elementary School Students, Thinking Skills, Ecology, Causal Models
de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
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
Munshi, Anabil; Biswas, Gautam; Baker, Ryan; Ocumpaugh, Jaclyn; Hutt, Stephen; Paquette, Luc – Journal of Computer Assisted Learning, 2023
Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…
Descriptors: Scaffolding (Teaching Technique), Metacognition, Independent Study, Intelligent Tutoring Systems
Marzano, Robert J.; Parsley, Danette; Gagnon, Douglas J.; Norford, Jennifer S. – Marzano Research, 2020
Teachers engaging in research has been discussed and carried out under the heuristics and methodologies of action research (Manfra, 2019; Pine, 2009). A typical action research project might involve an individual teacher studying the effectiveness of a specific instructional strategy like having students preview content before receiving direct…
Descriptors: Teacher Researchers, Teaching Methods, Intervention, Generalization
Safsouf, Yassine; Mansouri, Khalifa; Poirier, Franck – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This study focuses on the learners' success toward learning management systems in higher education in Morocco and also proposes a theoretical model to better understand the determinants of learners' satisfaction, self-regulation and continuance intention to use these systems. For this purpose, variables which may have a positive or…
Descriptors: Management Systems, Metacognition, Student Attitudes, College Students