Debugging is essential for identifying and rectifying errors in programming, yet time constraints and students' trivialization of errors often hinder progress. This study examines differences in debugging challenges and strategies among students with varying computational thinking (CT) competencies using weekly coding journals from an online…

In this study, we aimed to investigate the impact of cooperative learning on the computational thinking skills and academic performances of middle school students in the computational problem-solving approach. We used the pretest-posttest control group design of the quasiexperimental method. In the research, computational problem-solving…

The relationship between computational thinking (CT) and academic self-efficacy for building students' academic resilience--a trait crucial for problem-solving, peer relationships, and confidence development--was investigated. A mixed-methods approach was employed in a study involving 60 participants; half were given CT instruction and half were…

The aim of this study is to explore the computational thinking (CT) processes of university students with the integration of CAS and ACODESA method within the context of problem-solving. The participants of the study are 22 university students. The embedded design was used in the study. The qualitative data consists of the written products of the…

Going beyond teaching knowledge to develop students' competencies challenges contemporary universities because acquiring knowledge is insufficient without the capacity to implement it in real environments. Complex thinking is among the most valued competencies. It allows people to reason to solve problems, integrating their scientific, systemic,…

Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…

This study aimed to comparatively analyse the effects of problem-based learning model (PBLM) on cognitive outputs (CO). The study reviewed quasi-experimental studies on PBLM and CO, focusing on the cognitive outputs of thinking skills, problem-solving skill, and academic achievement. The quantitative data of these studies, comprising 56 articles…

Limited research has been conducted on the influence of computational thinking (CT) dispositions on students' mathematics performance and engagement at the secondary or junior high school level. This study aims to bridge this research gap by developing CT-integrated mathematics lessons that incorporate CT-focused problem-solving and modeling in…

The study explored the effect of the activity-based approach (ABA) on grade 11 learners' performance in solving two-dimensional (2D) trigonometric problems. A sequential explanatory design was used, starting with the quantitative, followed by the qualitative method. The experimental group (EG) and the control group (CG) were facilitated using ABA,…

This study investigates the structural relationship among academic motivation, academic self-efficacy (ASE), problem solving skills (PSS), creative thinking skills (CRTS), and critical thinking skills (CTS). Structural Equation Model was utilized to compute the relationships between these variables. The sample of the study was comprised of 575…

Background: Flipped classroom (FC) model has become increasingly popular in dental education (DE) with its strengths for students. However, major concerns are lack of interaction, unwillingness to complete the assignments, low engagement during the pre-class activities because of an unwell-designed instructional setting of FC. Objectives: The…

Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…

An increase in research on the teaching of creativity in learning environments is being witnessed as more studies continue to reveal its effects on learning outcomes and academic achievement. Thus, any investigative attempt to examine the relevant approaches to teaching of creative thinking skills is appreciated within the creativity literature.…

Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…

Clinical competence is multi-dimensional and must be acquired by all medical students. Accordingly, a prospective quasi-experimental study was conducted to evaluate the merging of script concordance testing (SCT) and team-based learning (TBL) as a teaching/learning approach for medical students in clinical settings. The study comprised three…