Publication Date
In 2025 | 0 |
Since 2024 | 6 |
Since 2021 (last 5 years) | 20 |
Since 2016 (last 10 years) | 39 |
Since 2006 (last 20 years) | 83 |
Descriptor
Causal Models | 97 |
Teaching Methods | 97 |
Foreign Countries | 27 |
Academic Achievement | 15 |
Problem Solving | 15 |
Correlation | 14 |
Outcomes of Education | 13 |
Science Instruction | 13 |
Student Attitudes | 13 |
Higher Education | 11 |
Instructional Effectiveness | 11 |
More ▼ |
Source
Author
Biswas, Gautam | 2 |
Blaum, Dylan | 2 |
Britt, M. Anne | 2 |
Di Xu | 2 |
Elizabeth S. Park | 2 |
Griffin, Thomas D. | 2 |
Wiley, Jennifer | 2 |
Acat, M. Bahaddin | 1 |
Acosta-Gonzaga, Elizabeth | 1 |
Adams, Bryan | 1 |
Al Hammadi, Arif | 1 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 8 |
Researchers | 6 |
Practitioners | 5 |
Students | 1 |
Location
Australia | 5 |
Netherlands | 4 |
Turkey | 4 |
United Kingdom (England) | 3 |
Czech Republic | 2 |
Finland | 2 |
Florida | 2 |
Germany | 2 |
Greece | 2 |
Hawaii | 2 |
Ireland | 2 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
Defining Issues Test | 1 |
Program for International… | 1 |
State of Texas Assessments of… | 1 |
Student Teacher Relationship… | 1 |
What Works Clearinghouse Rating
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
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
Carroll, James Edward – Teaching History, 2022
Alarmed by his students' random use of causal language in their essays, James Edward Carroll resolved to help his students improve their understanding of causal processes. Carroll decided to introduce his students to the metaphors that historians use to describe causation in the historiography of the Salem witch trials. By modelling how historians…
Descriptors: Causal Models, Figurative Language, Teaching Methods, History Instruction
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
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
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
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
Timothy D. Ellis – ProQuest LLC, 2021
Transformative learning pedagogy in higher education leads to increased student engagement. The problem with transformative learning in higher education is deficiencies in research on increased student engagement obtained with transformative learning pedagogy. This research study addressed unanswered questions in the literature by exploring…
Descriptors: Transformative Learning, Learner Engagement, Academic Achievement, Academic Persistence
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
Mills, Terence; Mills, Frances – Australian Mathematics Education Journal, 2020
The concept of correlation arises in Unit 3 of General Mathematics in the Australian Curriculum (ACARA, 2010-present). University students will meet the topic in applied statistics subjects in courses on business, psychology, research methods as well as in mathematical subjects on probability and statistics. When students are introduced to the…
Descriptors: Statistics Education, Causal Models, Correlation, Philosophy
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