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Heining Cham; Hyunjung Lee; Igor Migunov – Asia Pacific Education Review, 2024
The randomized control trial (RCT) is the primary experimental design in education research due to its strong internal validity for causal inference. However, in situations where RCTs are not feasible or ethical, quasi-experiments are alternatives to establish causal inference. This paper serves as an introduction to several quasi-experimental…
Descriptors: Causal Models, Educational Research, Quasiexperimental Design, Research Design
Brown, Seth; Song, Mengli; Cook, Thomas D.; Garet, Michael S. – American Educational Research Journal, 2023
This study examined bias reduction in the eight nonequivalent comparison group designs (NECGDs) that result from combining (a) choice of a local versus non-local comparison group, and analytic use or not of (b) a pretest measure of the study outcome and (c) a rich set of other covariates. Bias was estimated as the difference in causal estimate…
Descriptors: Research Design, Pretests Posttests, Computation, Bias
Fu, Chanjuan; Hao, Xiaoxin; Shi, Donglin; Wang, Lin; Geng, Fengji – Education and Information Technologies, 2023
Coding learning can promote the development of computational thinking (CT) in young children. The effect of coding learning on CT may vary between different cultures. However, it lacks studies to evaluate the effect of coding learning on the various dimensions of CT in young Chinese children. To provide insight into this question, we recruited…
Descriptors: Foreign Countries, Young Children, Computation, Thinking Skills
Ipek Isik Arslanoglu; Serhat Bahadir Kert; Ismail Tonbuloglu – Education and Information Technologies, 2024
This study aims to examine the effect of augmented reality-assisted programming education supported by participatory design on the basic and computational thinking skills of preschoolers. In the study, a pretest-posttest single-group semi-experimental design, which is one of the quantitative research methods, was used. The study group of the…
Descriptors: Young Children, Kindergarten, Computation, Thinking Skills
Li, Qi; Jiang, Qiang; Liang, Jyh-Chong; Xiong, Weiyan; Liang, Yu; Zhao, Wei – Education and Information Technologies, 2023
Different instructional strategies have been drawn to assist elementary school students in improving computational thinking (CT) skills and student engagement (SE) in unplugged programming activities. This paper aimed to explore how the interactive strategies of unplugged programming affect CT skills and SE. The study was conducted based on a…
Descriptors: Elementary School Students, Programming, Computation, Thinking Skills
Li, Xing; Xie, Kui; Vongkulluksn, Vanessa; Stein, David; Zhang, Yi – Journal of Research on Technology in Education, 2023
Computational Thinking (CT) is regarded as a crucial competency for all children in the 21st century. There are misconceptions about CT which confounds CT skills with programming skills. However, CT skills and programming skills are not the same. CT is a broader skillset of cognitive thinking that is integral to complex problem solving. Teaching…
Descriptors: Elementary School Students, Computation, Thinking Skills, Self Concept
Chang, Chu-Yang; Du, Zhengyi; Kuo, Hsu-Chan; Chang, Chih-Ching – IEEE Transactions on Education, 2023
Contribution: This study represents the first systematic attempt to develop Science, Technology, Engineering, Arts, and Mathematics (STEAM) integrated project-based learning (PBL) as a transdisciplinary teaching method for fostering students' creativity and computational thinking (CT) skills. Background: With the growing importance of creativity…
Descriptors: Junior High Schools, Grade 7, Design, Cognitive Processes
Kaup, Camilla Finsterbach; Pedersen, Pernille Ladegaard; Tvedebrink, Torben – Journal of Pedagogical Research, 2023
This study aimed to examine whether a computational thinking (CT) intervention related to (a) number knowledge and arithmetic (b) algebra, and (c) geometry impacts students' learning performance in primary schools. To this end, a quasi-experimental, nonequivalent group design was employed, with 61 students assigned to the experimental group and 47…
Descriptors: Foreign Countries, Elementary School Students, Control Groups, Grade 2
Zhou, Xiaodan; Tsai, Chia-Wen – Education and Information Technologies, 2023
Collaborative learning by teaching (CLBT) is a pedagogical approach that combines collaborative learning and learning by teaching pedagogy, which can be applied to university classrooms with the support of information and communication technology (ICT). This pedagogy not only emphasizes the independent learning of group members, but also…
Descriptors: Foreign Countries, Undergraduate Students, Cooperative Learning, Teacher Role
Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H. – International Journal of Artificial Intelligence in Education, 2020
Identifying students at risk of failing a course has potential benefits, such as recommending the At-Risk students to various interventions that could improve pass rates. The challenges however, are firstly in measuring how effective these interventions are, i.e. measuring treatment effects, and secondly, to not only predict overall (average)…
Descriptors: Artificial Intelligence, Man Machine Systems, Probability, Scoring
Yildiz Durak, Hatice – Technology, Knowledge and Learning, 2020
The aim of this research is to determine the effects of Scratch and Alice tools and programming teaching practices on student engagement, reflective thinking and problem-solving skills and computational thinking (CT) comparatively. A quasi-experimental design was used in the research and patterns with pretest-posttest control group were chosen for…
Descriptors: Secondary School Students, Computer Science Education, Programming, Programming Languages
Fuchs, Lynn S.; Fuchs, Douglas; Gilbert, Jennifer K. – Exceptional Children, 2019
The purpose of this analysis was to assess whether effects of first-grade mathematics intervention apply across the range of at-risk learners' initial skill levels. Students were randomly assigned to control (n = 213) and two variants of intervention (n = 385) designed to improve arithmetic. Of each 30-minute intervention session (48 over 16…
Descriptors: Intervention, Mathematics Instruction, Arithmetic, Grade 1
Litwok, Daniel; Peck, Laura R. – American Journal of Evaluation, 2019
In experimental evaluations of policy interventions, the so-called Bloom adjustment is commonly used to estimate the impact of the treatment on the treated. It does so by rescaling the estimated impact of the intention to treat--that is, the overall treatment-control group difference in outcomes for the entire experimental sample--by the…
Descriptors: Computation, Outcomes of Treatment, Program Evaluation, Scaling
What Works Clearinghouse, 2017
The What Works Clearinghouse (WWC) uses the term "baseline equivalence" when determining if the intervention group (those that received the intervention of interest) and the comparison group (those that did not receive the intervention) had characteristics that were similar enough ("equivalent") at the start of the study (at…
Descriptors: Control Groups, Experimental Groups, Intervention, Comparative Analysis
Muñoz-Repiso, Ana García-Valcárcel; Caballero-González, Yen-Air – Comunicar: Media Education Research Journal, 2019
The development of programming skills is currently promoting from an early school age, trying to get children to take an active and creative role in the use of technologies. The objective of this article is to verify the repercussion of educational robotics activities on kindergarten students in the acquisition of computational thinking and…
Descriptors: Computation, Thinking Skills, Robotics, Early Childhood Education

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