Unusual response similarity among test takers may occur in testing data and be an indicator of potential test fraud (e.g., examinees copy responses from other examinees, send text messages or pre-arranged signals among themselves for the correct response, item pre-knowledge). One index to measure the degree of similarity between two response…

The purpose of this study is to investigate whether factor scores can be used instead of ability estimation and total score. For this purpose, the relationships among total score, ability estimation, and factor scores were investigated. In the research, Turkish subtest data from the Transition from Primary to Secondary Education (TEOG) exam…

Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…

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…

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…

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…

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…

Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…

Fraction arithmetic facility is fundamental to learning more advanced math topics. However, attaining the ability to add and subtract fractions is hard for many students. The present longitudinal study examined students' growth on simple addition and subtraction word problems between fourth and sixth grades (N = 536). Latent class growth analyses…

The study was carried out with 45 web pages reached as a result of scanning the relevant keywords in the 'Google' search engine, eliminating repetitive web pages, and applying the inclusion and exclusion criteria. Content analysis, readability calculation, and statistical analyses of the data obtained from web-based information sources were…

In language learning, it is important to foster students' computational thinking and improve their skills of building arguments and dialectical structure, teamwork, and decision accuracy. This is especially so in English language courses which aim to promote students' cultural learning interest, creative thinking, and oral presentation.…

In the context of our rapidly digitizing society, computational thinking stands out as an essential attribute for cultivating aptitude and expertise. Through the prism of computational thinking, learners are more adeptly positioned to dissect and navigate real-world challenges, poising them effectively to meet the exigencies of future societal…

Background & Context: This research focused on an online professional development (PD), the Inclusive Computer Science Model of PD, to support integrating computer science and computational thinking for all learners into K-5 literacy instruction. Objective: This research was conducted to understand elementary teachers' perceptions of the PD.…

Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…

Background: Computational thinking (CT) is a way of thinking that helps children solve problems and complete tasks in more organized ways, using computer science skills. Prior research indicates that promoting CT skills in young children can support the acquisition of general problem solving (PS), executive function (EF), and social emotional…