Bayesian inference for structural equation models (SEMs) is increasingly popular in social and psychological sciences owing to its flexibility to adapt to more complex models and the ability to include prior information if available. However, there are two major hurdles in using the traditional Bayesian SEM in practice: (1) the information nested…

In many psychological and educational applications, it is imperative to obtain valid and reliable score estimates of multilevel processes. For example, in order to assess the quality and characteristics of high impact learning processes, one must compute accurate scores representative of student- and classroom-level constructs. Currently, there…

"Paideia," a Classical ancient Greek notion of education, encompassed both holistic formal instruction and art (particularly poetry) as means to develop cultural values and understanding. This dissertation examines how the new media arts--as a transdisciplinary and computational field--can be leveraged to fulfill a contemporary notion of…

Assessing student achievement over multiple years is complicated by students' annual matriculation through different classrooms. The process of matriculation, or annual classroom change, threatens the validity of statistical inferences because it violates the independence of observations necessary in a regression context. The current study…

Computer programming has become an essential part of K12 education, promoted as a way for students to engage in computational thinking that helps develop students' ability to analyze and solve problems and prepare them for future careers. Tabletop board games are seen as an effective means to help students learn computer programming. Several board…

Computational thinking skills as core skills for emerging citizens are receiving great attention from scholars and educators. Various measures have been taken to improve students' computational thinking skills. Among these measures, the smart classroom, as a technology-enhanced learning environment, plays an important role in cultivating students'…

As digital integration transforms modern society, equipping young learners with computational thinking (CT) skills has become an essential educational goal. However, many education systems face challenges in adapting curricula to include CT, particularly in early childhood education where resources, teacher preparedness, and instructional design…

A theoretical model describing Grade 7 students' rational number sense was formulated and validated empirically (n = 360), hypothesizing that rational number sense is a general construct consisting of three factors: basic rational number sense, arithmetic sense, and flexibility with rational numbers. Data analysis suggested that rational-number…

In the dynamic educational context of Malaysia, this study examines the impact of integrating Unplugged Activities (UA) with Block-Based Programming (BBP) on improving the computational thinking (CT) skills of secondary students in full boarding schools in Northern Peninsular Malaysia. Using a quasi-experimental design and mixed-methods analysis,…

K-12 computer science (CS) education has emerged as a vital component of modern education, nurturing computational thinking, problem-solving, and digital literacy. This study examines the K-12 CS education dynamics, emphasizing its impact and implications, particularly in the context of equity. Twitter data from 2017 to 2021 were collected,…

This paper presents the findings of a comprehensive experimental study examining the impact of computer-assisted instruction (CAI) compared to traditional teaching methods on learner performance and motivation in mathematics education. The study, conducted with 80 first-year college learners from a primary school in Morocco, aimed to assess the…

This paper presents research activity on computer-based mathematics learning to study the effectiveness of open-source teaching computer platforms (Canvas) in computer-assisted instruction. We designed a set of multiple-choice online quizzes as a dynamical flow-chart of possible paths to follow while solving a difficult math problem on…

This study reviews the literature on error patterns in mathematics among students with mathematics difficulty. We analyzed and synthesized the findings from 17 studies, focusing on the characteristics of error analysis studies, the mathematics topics examined, and the specific error patterns identified. The results revealed the following: (a) the…

Algebraic Thinking (AT) and Computational Thinking (CT) are pivotal competencies in modern education, fostering problem-solving skills and logical reasoning among students. This study presents the initial hypotheses, theoretical framework, and key steps undertaken to explore characterized learning paths and assign practice-relevant tasks. This…

This study introduces CAILE, a design thinking-driven conceptual framework for a Creative AI Learning Environment, designed to enhance programming skills. Evaluates clarity, appropriateness, and feasibility through expert judgment. Phase 1 synthesized 34 peer-reviewed studies (2019-2025) to articulate CAILE's structure across three layers: Inputs…