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Emit Snake-Beings; Andrew Gibbons; Ricardo Sosa – Teaching and Learning Research Initiative, 2024
This study explores learner engagement with Advanced Computational Thinking (ACT) in the New Zealand digital curriculum. "Advanced" in ACT refers to an expansive, transdisciplinary, and future-looking understanding of computational thinking (CT). ACT promotes CT beyond narrow modes of problem-solving (abstraction, algorithmic thinking,…
Descriptors: Computation, Thinking Skills, Shared Resources and Services, Learner Engagement
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Aydin, Gökhan; Duran, Volkan; Mertol, Hüseyin – International Journal of Curriculum and Instruction, 2021
This study aims to develop a computer program for the identification key to insect orders (Arthropoda: Hexapoda) and to investigate its effectiveness as teaching material. Secondly, this study is aiming at whether this program improves students' computational thinking skills or not longitudinal quasi-experimental design. Firstly, the study is…
Descriptors: Computer Software, Identification, Entomology, Computation
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Güven, Ismail; Gulbahar, Yasemin – Social Studies, 2020
Computational Thinking (CT) has recently been addressed as one of the key skills for the twenty-first century. Integrating CT into different subject areas of K-12 education is also now widely accepted to improve the quality of instruction. In that sense, it is important to enable educators and researchers to recognize how to integrate…
Descriptors: Thinking Skills, Computer Science, Social Studies, 21st Century Skills
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Jacobsen, Rebecca; Halvorsen, Anne-Lise; Frasier, Amanda Slaten; Schmitt, Adam; Crocco, Margaret; Segall, Avner – Theory and Research in Social Education, 2018
This mixed-methods study analyzed adolescents' evaluation of the trustworthiness of different kinds of evidence and their reasons for why they trusted (or did not trust) them. Specifically, we analyzed adolescents' rankings of seven kinds of evidence in the abstract and in the context of a settled historical event (school desegregation) and…
Descriptors: High School Students, Thinking Skills, Comprehension, Evidence
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Tu, Wendy; Snyder, Martha M. – Educational Technology Research and Development, 2017
Difficulties in learning statistics primarily at the college-level led to a reform movement in statistics education in the early 1990s. Although much work has been done, effective learning designs that facilitate active learning, conceptual understanding of statistics, and the use of real-data in the classroom are needed. Guided by Merrill's First…
Descriptors: Statistics, College Students, Educational Change, Active Learning
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Casey, Stephanie A. – Journal of Statistics Education, 2015
The purpose of this research study was to learn about students' conceptions concerning the line of best fit just prior to their introduction to the topic. Task-based interviews were conducted with thirty-three students, focused on five tasks that asked them to place the line of best fit on a scatterplot and explain their reasoning throughout the…
Descriptors: Goodness of Fit, Statistical Analysis, Student Attitudes, Task Analysis
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Paideya, V.; Sookrajh, R. – South African Journal of Higher Education, 2010
Many under-prepared university students do not know how to study (Martin and Arendale 1993) because they have not yet developed the abstract reasoning skills that allow them to learn new ideas simply by reading a text or listening to a lecture. This article draws from selected findings from a PhD study currently being undertaken at a university in…
Descriptors: Video Technology, Stoichiometry, Intervention, Focus Groups
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Knight, Kim H.; Elfenbein, Morton H.; Martin, Matthew B. – Sex Roles: A Journal of Research, 1997
Examines relationship between Connected and Separate Knowing dimensions of Knowledge Styles Inventory (K. Knight and others, 1994) and learning modes of A. Kolb (1984), formal operational reasoning (B. Inhelder and J. Piaget, 1958, 1975; G. Tobin and W. Capie, 1981), and vocabulary and abstract thinking abilities (W. Shipley, 1940). Findings…
Descriptors: Abstract Reasoning, Data Analysis, Educational Research, Higher Education