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Brave, Kathryn Lavin; Miller, Jillian – Mathematics Teacher: Learning and Teaching PK-12, 2022
During the past few years, the social interactions of students have been limited. The act of social distancing has not only exacerbated developmental gaps in social and emotional learning (SEL) (Vaillancourt et al. 2021) but also interrupted mathematics instruction (Lewis et al. 2021). Teachers are searching for strategies that promote…
Descriptors: Social Emotional Learning, Mathematics Instruction, Problem Solving, Computation
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Fergusson, Anna; Pfannkuch, Maxine – Mathematical Thinking and Learning: An International Journal, 2022
The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms…
Descriptors: Foreign Countries, Data Science, Statistics Education, Mathematical Models
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Babazadeh, Masiar; Negrini, Lucio – International Journal of Computer Science Education in Schools, 2022
Computational thinking (CT) is seen as a key competence of the 21st century and different countries have started to integrate it into their compulsory school curricula. However, few indications exist on how to assess CT in compulsory school. This review analyses what tools are used to assess CT in European schools and which dimensions are…
Descriptors: Computation, Thinking Skills, Evaluation Methods, Elementary Secondary Education
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Aminah, Neneng; Sukestiyarno, Yohanes Leonardus; Wardono, Wardono; Cahyono, Adi Nur – European Journal of Educational Research, 2022
Prospective teachers facing the 21st century are expected to have the ability to solve problems with a computer mindset. Problems in learning mathematics also require the concept of computational thinking (CT). However, many still find it challenging to solve this problem. The subjects in this study were twenty-one prospective mathematics teachers…
Descriptors: Computation, Thinking Skills, Preservice Teachers, Mathematics Teachers
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Bati, Kaan – Informatics in Education, 2022
This study reports the findings of a program that aims to develop pre-service science teachers' computational problem-solving skills and views on using information and communications technology in science education. To this end, pre-service science teachers were trained on computational thinking, computational problem solving, designing an…
Descriptors: Foreign Countries, Programming, Programming Languages, Technology Integration
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Tsai, Fu-Hsing; Hsiao, Hsien-Sheng; Yu, Kuang-Chao; Lin, Kuen-Yi – International Journal of Technology and Design Education, 2022
In order to reflect on the lack of developing content knowledge of technology education in Taiwan's primary teacher education, the main aim of this study was to develop a STEM-based game-design project for helping preservice primary teachers acquire computational thinking concepts in a teacher education course and to evaluate its effectiveness.…
Descriptors: Foreign Countries, STEM Education, Game Based Learning, Design
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Desoete, Annemie; Praet, Magda – Journal of Cognitive Education and Psychology, 2022
Adaptive serious mathematical games in kindergarten were used to investigate whether kindergarteners could grasp mathematics topics. A pretest-posttest-follow up design with two conditions. (Condition 1 educational kindergarten games on the computer, focusing on counting and comparison, Condition 2 educational kindergarten games on the computer,…
Descriptors: Educational Games, Kindergarten, Young Children, Mathematical Concepts
Ben-Michael, Eli; Feller, Avi; Rothstein, Jesse – Grantee Submission, 2022
Staggered adoption of policies by different units at different times creates promising opportunities for observational causal inference. Estimation remains challenging, however, and common regression methods can give misleading results. A promising alternative is the synthetic control method (SCM), which finds a weighted average of control units…
Descriptors: Causal Models, Statistical Inference, Computation, Evaluation Methods
Xu, Ziqian; Hai, Jiarui; Yang, Yutong; Zhang, Zhiyong – Grantee Submission, 2022
Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network imputation methods including simple ones constructed from network structural characteristics and more complicated model-based ones have been developed. Although past…
Descriptors: Social Networks, Network Analysis, Data Analysis, Bayesian Statistics
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Elif Çelik; Sevim Sevgi – Journal of Educational Technology and Online Learning, 2025
This research investigates the impact of mathematical problems created with Scratch on the problem-solving skills of 8th-grade middle school students. The research was based on the descriptive design of mixed research approaches. In this direction, the research model was single-group pretest-posttest design, which is a weak experimental design…
Descriptors: Middle School Students, Grade 8, Mathematics Instruction, Foreign Countries
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Yelitza Freitas; Beatriz Guiomar; Sofia Gonçalves; Ricardo Pinto; Elisabete Pinto; Virgílio Rato; Fernando Martins – Educational Process: International Journal, 2025
Background/purpose: This article aims to analyze the use of serious games from the Hypatiamat Platform to promote mental arithmetic in a first-grade primary school class in an Exploratory Teaching environment. Materials/methods: This study is mixed, interpretative, and action-research in design. It quantitatively analyses the students' Level of…
Descriptors: Grade 1, Elementary School Students, Elementary School Mathematics, Mathematics Instruction
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Rasikh Tariq; M. S. Ramírez-Montoya; Tabbi Wilberforce Awotwe; V. Fernández-Castro; M. Martínez-Reyes – Journal of Advanced Academics, 2025
The importance of User Experience Measurement allows understanding how experiences can be optimized to meet functional and emotional needs, complemented with Design-Based Research to scale the redesign of educational platforms, four online educational platforms presented are powered by Artificial Intelligence and educational data mining to offer a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Computation
Xia Li; Cheri Fancsali; Janice Lee; Rishika Jain – Research Alliance for New York City Schools, 2025
New York City Public Schools' Computer Science for All (CS4All) initiative set out to ensure that every student receives at least one meaningful, high-quality computer science (CS) experience within each grade band (K-2, 3-5, 6-8, and 9-12). As described in previous work, the percentage of schools offering some form of CS tripled from 15 percent…
Descriptors: Public Schools, Elementary Secondary Education, Computer Science, Outcomes of Education
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Nederhand, Marloes L.; Tabbers, Huib K.; Rikers, Remy M. J. P. – Applied Cognitive Psychology, 2019
This experimental study explores whether feedback in the form of standards helps students in giving more accurate performance estimates not only on current tasks but also on new, similar tasks and whether performance level influences the effect of standards. We provided 122 first-year psychology students with seven texts that contained key terms.…
Descriptors: Standards, Feedback (Response), Accuracy, College Freshmen
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van Aert, Robbie C. M.; van Assen, Marcel A. L. M.; Viechtbauer, Wolfgang – Research Synthesis Methods, 2019
The effect sizes of studies included in a meta-analysis do often not share a common true effect size due to differences in for instance the design of the studies. Estimates of this so-called between-study variance are usually imprecise. Hence, reporting a confidence interval together with a point estimate of the amount of between-study variance…
Descriptors: Meta Analysis, Computation, Statistical Analysis, Effect Size
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