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:…

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…

The educational community has been interested in personalized learning systems that can adapt itself while providing learning support to different learners to overcome the weakness of 'one size fits all' approaches in technology-enabled learning systems. In this paper, one known problem in adaptive learning systems called curriculum sequencing is…

This article discusses the estimation of a population proportion, using the auxiliary information available, which is incorporated into the estimation procedure by a probit model fit. Three probit regression estimators are considered, using model-based and model-assisted approaches. The theoretical properties of the proposed estimators are derived…

The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…

Testing whether items fit the assumptions of an item response theory model is an important step in evaluating a test. In the literature, numerous item fit statistics exist, many of which show severe limitations. The current study investigates the root mean squared deviation (RMSD) item fit statistic, which is used for evaluating item fit in…

This research pursued a fine-grained analysis of the acquisition of a procedural skill. In two experiments (n = 29 and n = 27), adults practiced 12 alphabet arithmetic problems (e.g., C + 3 = C D E F) in two sessions with 20 practice blocks in each. If learning reflected speed up of a counting algorithm, response time (RT) speed up should be…