This study describes the process of developing a high-impact, low-cost, and low-maintenance air ventilation system for anatomy facilities. It employed the strategic application of Value Engineering (VE), assuring that the air ventilation system meets contemporary threshold limit values (TLVs) for formaldehyde in the working zone of dissection…

Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…

In recent years, knowledge tracing (KT) within intelligent tutoring systems (ITSs) has seen rapid development. KT aims to assess a student's knowledge state based on past performance and predict the correctness of the next question. Traditional KT often treats questions with different difficulty levels of the same concept as identical…

Computational thinking (CT) is an important twenty-first century skill that begins developing early. Recent interest in incorporating early CT experiences in early childhood education (i.e., preschool) has increased. In fact, the early years mark an important time during which initial competencies are acquired, interest and motivation begins to…

Computational thinking (CT) is regarded as a valuable skill set for the students of the 21st century, fostering problem-solving skills applicable to academic disciplines and everyday problems. Assessing CT involves evaluating the development of its concepts, practices, and perspectives. However, establishing comprehensive and validated assessments…

Research on collaborative learning of computer science has been conducted primarily in programming. This paper extends this area by including short tasks (such as those used in contests like the Bebras Challenge) that cover many other computer science topics. The aim of this research is to explore how problem-solving in pairs differs from…

This study is a secondary analysis of the data collected in a randomized control trial study with sixth graders with mathematics learning difficulties (MLDs). We explored the relation between mathematics anxiety and mathematics performance for students with and without MLD. We further explored whether mathematics vocabulary and computational…

The same and different routine offers an opportunity to build a strong foundation for future grades while also deepening the experiences of prekindergarten and transitional kindergarten students. Students have opportunities to make sense, share ideas, and engage in the ideas of others. We conjecture this type of experience supports students and…

There is a longstanding debate on whether the analysis of covariance (ANCOVA) or the change score approach is more appropriate when analyzing non-experimental longitudinal data. In this article, we use a structural modeling perspective to clarify that the ANCOVA approach is based on the assumption that all relevant covariates are measured (i.e.,…

Background/purpose: Computational Thinking is a content that has been integrated into primary education curricula in several countries. Its proper integration into education is not limited to its inclusion in the educational curricula, and teachers and pre-service teachers must develop the necessary knowledge to integrate it into their practices…

This study delved into the impact of educational robotics, virtual coding, and unplugged coding on the problem-solving, computational thinking (CT), and coding skills of English as a Foreign Language (EFL) learners. Employing a pretest-posttest experimental design, the study encompassed 351 EFL students distributed across four groups to compare…

Computational thinking (CT) is a core skill for students in the digital age, which refers to the use of fundamental concepts of computer science to analyze and solve real-world problems. However, it is a challenging task to accurately measure the CT levels of the students. The goal of this study is to explore a new CT assessment paradigm that…

Fully-Latent Principal Stratification (FLPS) offers a promising approach for estimating treatment effect heterogeneity based on patterns of students' interactions with Intelligent Tutoring Systems (ITSs). However, FLPS relies on correctly specified models. In addition, multiple latent variables, such as ability, participation, and epistemic…

The assessment of computational thinking (CT) is crucial for improving pedagogical practice, identifying areas for improvement, and implementing efficient educational interventions. Despite growing interest in CT in primary education, existing assessments often focus on specific dimensions, providing a fragmented understanding. In this research, a…

In this study, it was aimed to translate and adapt the Computational Thinking Multidimensional Test (CTMT) developed by Kang et al. (2023) into Turkish and to investigate its psychometric qualities with Turkish university students. Following the translation procedures of the CTMT with 12 multiple-choice questions developed based on real-life…