Computational thinking (CT) assessment is crucial for testing the effectiveness of CT skills development. However, the exploration of CT assessment in the context of text-based programming is in its initial stages. The intrinsic relationship between the core skills of text-based programming and the core elements of CT isn't analyzed in depth in…

As a core competence in 21st century, computational thinking (CT) is of great significance for undergraduates. However, there are few researches on the CT evaluation about undergraduates, and nor do a theoretical framework. Additionally, it is not clear what factors may affect their CT development. Therefore, according to Marzano's new taxonomy of…

Culturally responsive assessments have been proposed as potential tools to ensure equity and fairness for examinees from all backgrounds including those from traditionally underserved or minoritized groups. However, these assessments are relatively new and, with few exceptions, are yet to be implemented in large scale. Consequently, there is a…

In the past decade, Computational Thinking (CT) education has received growing attention from researchers. Although many reviews have provided synthesized information on CT teaching and learning, few have paid particular attention to collaborative learning (CL) strategies. CL has been widely implemented in CT classes and has become the most…

Background and Context: Computational thinking (CT) is an essential skill for all youth to succeed in our technology and information-rich world. While CT has a growing presence within K-12 classrooms, libraries play an essential role in introducing these critical skills to all. Objective: Assessing learning in libraries is difficult given their…

This paper proposes a scenario-based learning (SBL) methodology for teaching Computational Thinking (CT). The presented scenario includes educational material that teaches the basic concepts of a Python course for beginners. The scenario allows the educator to utilize a combination of tools and services and follow a mind map. Moreover, it presents…

Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers' pedagogical content knowledge in teaching computational thinking via teaching robot programming. Taking the advantages of virtual…

This research reviews 56 robots in science education (RSE) research articles published in SSCI (Social Sciences Citation Index) journals in the Web of Science (WoS) database. The analysis results showed that there were three clusters of RSE studies: robots in elementary science education, robot-based STEM activities, and robot-facilitated…

As an alternative to Cronbach's [alpha] for estimating scale reliability, McDonald's [omega] has attracted increased attention within the methodological community for its less stringent measurement assumptions. Notwithstanding, [omega] is still seldom used by practitioners, likely due to its unavailability in popular software packages (e.g., SPSS)…

This article builds on prior work that aims to measure computational learning (CL) during middle school. Since game computational sophistication (GCS) has been used as a proxy for a student's engagement in CL we build on their model to more completely describe the relationship between different types of building blocks of computer games and GCS.…

This study aimed to investigate senior high school students' computational thinking skills after implementing the Bioinformatics Module on molecular genetics concepts. The instructional approach used in the module is Computational Inquiry-based Teaching (CIbT). This study used a quasi-experiment method with a pretest-posttest control group design.…

In this dissertation, I argue that web development can play a pivotal role in developing computational thinking as well as provide a stepping stone to an advanced mastery of computation. The preceding literature has extensively examined not only how learners practice computational thinking with a wide array of programming languages, but also how…

This book provides prospective and practicing teachers with research insights into the mathematical difficulties of students with learning disabilities and classroom practices that address these difficulties. This linkage between research and practice celebrates teachers as learners of their own students' mathematical thinking, thus contributing…

We consider the problem of off-policy policy selection in reinforcement learning: using historical data generated from running one policy to compare two or more policies. We show that approaches based on importance sampling can be "unfair"--they can select the worse of two policies more often than not. We give two examples where the…

In the following research review, 57 articles were analysed to get an insight into research in the field of computational thinking and programming in K-12. The results show that empirical research regarding programming and computational thinking is prevalent in the USA and Greece. The articles were published in 43 different academic journals. A…