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Polat, Elif; Hopcan, Sinan; Kucuk, Sevda; Sisman, Burak – British Journal of Educational Technology, 2021
Performance in and perceptions of computational thinking (CT) are considered vital dimensions for comprehensively assessing CT skills of students. In this study, secondary school students' CT performance and their perceptions were examined in terms of certain variables including gender, grade level, achievement and self-efficacy.…
Descriptors: Secondary School Students, Computation, Thinking Skills, Gender Differences
Waterbury, Glenn Thomas; DeMars, Christine E. – Educational Assessment, 2021
Vertical scaling is used to put tests of different difficulty onto a common metric. The Rasch model is often used to perform vertical scaling, despite its strict functional form. Few, if any, studies have examined anchor item choice when using the Rasch model to vertically scale data that do not fit the model. The purpose of this study was to…
Descriptors: Test Items, Equated Scores, Item Response Theory, Scaling
Lodi, Michael; Martini, Simone – Science & Education, 2021
The pervasiveness of Computer Science (CS) in today's digital society and the extensive use of computational methods in other sciences call for its introduction in the school curriculum. Hence, Computer Science Education is becoming more and more relevant. In CS K-12 education, computational thinking (CT) is one of the abused buzzwords: different…
Descriptors: Computer Science Education, Elementary Secondary Education, Computation, Definitions
Woodard, Victoria; Lee, Hollylynne – Journal of Statistics and Data Science Education, 2021
As the demand for skilled data scientists has grown, university level statistics and data science courses have become more rigorous in training students to understand and utilize the tools that their future careers will likely require. However, the mechanisms to assess students' use of these tools while they are learning to use them are not well…
Descriptors: College Students, Statistics Education, Statistical Analysis, Computation
Karpinski, Zbigniew; Biagi, Federico; Di Pietro, Giorgio – International Association for the Evaluation of Educational Achievement, 2021
Numerous studies have shown that individuals from less advantaged backgrounds face poorer labor market prospects partly because they are characterized by low levels of skills, including digital skills. However, regarding digital skills, most of these studies rely on indicators of general digital competences rather than of specific information and…
Descriptors: Computation, Thinking Skills, Social Differences, Socioeconomic Status
Opfer, John E.; Kim, Dan; Fazio, Lisa K.; Zhou, Xinlin; Siegler, Robert S. – Grantee Submission, 2021
Chinese children routinely outperform American peers in standardized tests of mathematics knowledge. To examine mediators of this effect, 95 Chinese and US 5-year-olds completed a test of overall symbolic arithmetic, an IQ subtest, and three tests each of symbolic and non-symbolic numerical magnitude knowledge (magnitude comparison, approximate…
Descriptors: Foreign Countries, Mathematics Achievement, Cultural Differences, Arithmetic
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Brodersen, R. Marc; Gagnon, Douglas; Liu, Jing; Moss, Tony – Regional Educational Laboratory Central, 2021
This tool is intended to support state and local education agencies in developing a statistical model for estimating student postsecondary success at the school or district level. The tool guides education agency researchers, analysts, and decisionmakers through options to consider when developing their own model. The resulting model generates an…
Descriptors: Statistical Analysis, Models, Computation, Success
Bailey, Jessica; Hanita, Makoto; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report provides the foundational information needed to answer policy-relevant research questions related to teacher mobility and retention and presents the decision…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
Mensure Alkis Küçükaydin; Hakan Çite – Education and Information Technologies, 2024
This study sought to explain the differences in the computational thinking skills of primary school students. The survey model was adopted for the research. In the study, in which 780 primary school students participated, the relationship between computational thinking skills and factors at the student (gender, parent education status, internet…
Descriptors: Thinking Skills, Elementary School Students, Student Attitudes, Correlation
Erin E. Peters-Burton; Hong H. Tran; Brittany Miller – Journal of Science Teacher Education, 2024
The use of data to explain natural phenomena has been a core feature of science education, and science educators continue to call for an increased emphasis on teaching data practices. This mixed methods design-based research study adds to the growing body of research on data practices in science by explaining the learning trends of science…
Descriptors: Science Teachers, Faculty Development, Teacher Participation, Computation
Deepti Tagare – ACM Transactions on Computing Education, 2024
Background and Objective: Teacher assessment research suggests that teachers have good conceptual understanding of CT. However, to model CT-based problem-solving in their classrooms, teachers need to develop the ability to recognize when and how to apply CT skills. Does existing professional development (PD) equip teachers to know when and how to…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Predictor Variables
Eric Best; Daniel J. Mallinson – Journal of Political Science Education, 2024
There has been a massive shift in teaching quantitative political research since the "Journal of Political Science Education" was launched in 2004. Smartphones were an anomaly, and it was uncommon to have laptops in the classroom. Statistical calculations were sometimes done by "statisticians", i.e., professional staff who did…
Descriptors: Political Science, Educational History, Educational Trends, Educational Change
Athanasios Christopoulos; Stylianos Mystakidis; Justyna Kurczaba; Mikko-Jussi Laakso; Chrysostomos Stylios – International Journal of Science and Mathematics Education, 2024
Previous studies have found positive effects of Game-Based Learning for mathematics. While most studies assume that this effect is explained by the presence of flow/immersion during games, this has not yet been established. The aim of the current study is to verify if immersion indeed is associated with mathematical skills improvement when using a…
Descriptors: Computer Simulation, Educational Games, Mathematics Skills, Mathematics Achievement
Avraham Merzel; Efraim Yehuda Weissman; Nadav Katz; Igal Galili – Physical Review Physics Education Research, 2024
Teaching quantum physics (QP) to high school (HS) students is gaining momentum, necessitating the exploration of various effective methods. Specifically, the research on quantitative teaching methods is still in its early stages. Understanding the power of Dirac notation (DN) in teaching is crucial for grasping the complexities of QP, as it…
Descriptors: High School Students, Secondary School Science, Science Education, Physics