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Kontogianni, Aristoula; Tatsis, Konstantinos – Adults Learning Mathematics, 2018
Based on the significance of graph comprehension within statistical literacy, we present the findings of a study that took place in a Second Chance School in Greece. Our aim was to assess the progress of adults' comprehension of graphs. In order to offer to our adult students tasks with realistic context we used graphs, published in the media,…
Descriptors: Graphs, Foreign Countries, Comprehension, Adult Students
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Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models
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dos Santos, Paulo José Sena; dos Santos, Toni Fernando Mendes – Physics Education, 2021
Many researches show that students have difficulties in understanding graphics in kinematics. Some authors argue that we can use different instructional strategies to reduce these difficulties. Based on these studies, we developed and applied a didactic sequence using educational robotics to teach graphic analysis in movements in a dimension with…
Descriptors: Teaching Methods, Physics, Science Education, Graphs
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Hriez, Raghda Fawzey; Al-Naymat, Ghazi – Journal of Computing in Higher Education, 2021
Depicting the reason for the mismatch between instructor expectations of students' performance in advanced courses and their actual performance has been a challenging issue for a long time, which raises the question of why such a mismatch exists. An implicit reason for this mismatch is the student's weakness in prerequisite course skills. To solve…
Descriptors: Required Courses, Advanced Courses, Graphs, Outcomes of Education
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Koyuncu, Ilhan; Kilic, Abdullah Faruk – International Journal of Assessment Tools in Education, 2021
In exploratory factor analysis, although the researchers decide which items belong to which factors by considering statistical results, the decisions taken sometimes can be subjective in case of having items with similar factor loadings and complex factor structures. The aim of this study was to examine the validity of classifying items into…
Descriptors: Classification, Graphs, Factor Analysis, Decision Making
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Sokolowski, Andrzej – Physics Education, 2021
Research has identified several students' misinterpretations of the principles of the photoelectric effect (PE). Students cannot interpret the formula using the graph's context despite the linear dependence inherited in it. Many studies pointed out that the graphical representation of kinetic energy of the ejected electrons versus frequency of…
Descriptors: Science Instruction, Physics, Scientific Concepts, Misconceptions
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Kertil, Mahmut; Küpcü, Ali Riza – International Journal of Mathematical Education in Science and Technology, 2021
This study investigates prospective elementary and secondary school mathematics teachers' ways of reasoning about differentiability at a point and corner points while working on a mathematical modelling activity. Adopting a multiple-case study design, the participants of the study were 68 prospective elementary school mathematics teachers enrolled…
Descriptors: Preservice Teachers, Mathematics Education, Elementary Education, Secondary Education
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de Oliveira, A. L.; de Jesus, V. L. B.; Sasaki, D. G. G. – Physics Education, 2021
The drag effect on a falling ball caused by air is a conventional subject in the most well-known textbooks of classical mechanics and fluid dynamics. Further, there are some papers that employ video analysis to track objects movements in the air making it possible to obtain position data as a function of time and its graphs. However, none of them…
Descriptors: Science Instruction, Physics, Scientific Concepts, Concept Formation
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Morgado Hernández, Cindy Nathalia; Sánchez, Ernesto Sánchez – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
We report the results of a study on informal covariate statistical reasoning conducted with 22 students (aged 16 and 18 years). We designed and implemented a task in a digital technology environment to introduce the line of best fit. The task design having elements that foresee misconceptions reported in the literature, and by focusing on four…
Descriptors: Statistics Education, Teaching Methods, Thinking Skills, Task Analysis
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Ellison, George T. H. – Journal of Statistics and Data Science Education, 2021
Temporality-driven covariate classification had limited impact on: the specification of directed acyclic graphs (DAGs) by 85 novice analysts (medical undergraduates); or the risk of bias in DAG-informed multivariable models designed to generate causal inference from observational data. Only 71 students (83.5%) managed to complete the…
Descriptors: Statistics Education, Medical Education, Undergraduate Students, Graphs
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Duijzer, Carolien; Van den Heuvel-Panhuizen, Marja; Veldhuis, Michiel; Doorman, Michiel; Leseman, Paul – Educational Psychology Review, 2019
Embodied learning environments have a substantial share in teaching interventions and research for enhancing learning in science, technology, engineering, and mathematics (STEM) education. In these learning environments, students' bodily experiences are an essential part of the learning activities and hence, of the learning. In this systematic…
Descriptors: Cognitive Processes, Human Body, STEM Education, Motion
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Bragdon, Daniel; Pandiscio, Eric; Speer, Natasha – Investigations in Mathematics Learning, 2019
An executive report to the President of the United States titled "Engaging to Excel: Producing One Million Additional College Graduates with Degrees in Science," predicted that over the next decade, the United States will lack college graduates in the fields of science, technology, engineering, and mathematics (STEM). One contributing…
Descriptors: College Students, Graphs, Interpretive Skills, Comprehension
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Rodriguez, Jon-Marc G.; Towns, Marcy H. – Chemistry Education Research and Practice, 2019
Student understanding regarding topics in upper-division courses, such as biochemistry, is not well represented in the literature. Herein we describe a study that investigated students' reasoning about Michaelis-Menten enzyme kinetics and enzyme inhibition. Our qualitative study involved semistructured interviews with fourteen second-year students…
Descriptors: Science Instruction, Scientific Concepts, Logical Thinking, Concept Formation
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Molontay, Roland; Horvath, Noemi; Bergmann, Julia; Szekrenyes, Dora; Szabo, Mihaly – IEEE Transactions on Learning Technologies, 2020
Curriculum prerequisite networks have a central role in shaping the course of university programs. The analysis of prerequisite networks has attracted a lot of research interest recently since designing an appropriate network is of great importance both academically and economically. It determines the learning goals of the program and also has a…
Descriptors: College Curriculum, Prerequisites, Networks, Time to Degree
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Kop, Peter M. G. M.; Janssen, Fred J. J. M.; Drijvers, Paul H. M.; van Driel, Jan H. – Educational Studies in Mathematics, 2020
Students in secondary school often struggle with symbol sense, that is, the general ability to deal with symbols and to recognize the structure of algebraic formulas. Fostering symbol sense is an educational challenge. In graphing formulas by hand, defined as graphing using recognition and reasoning without technology, many aspects of symbol sense…
Descriptors: Graphs, Mathematical Formulas, Symbols (Mathematics), Algebra
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