The aims of this study were to synthesize and evaluate the learning model in gamification environment together with cartoon animation media to promote students' creative problem-solving skills. This study was divided into three phases, (i) synthesized and evaluated the appropriateness of learning model (ii) developed cartoon animation and (iii)…

This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…

Twenty-first-century skills are increasingly recognized as critical skills that today's students must develop to adapt to increasingly rapid world changes. This research aims to test the effectiveness of the STEM-EDELCY learning model to improve students' 21st-century skills. This research involved 285 junior high school students (aged 12-13) from…

Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…

This paper introduces a model built upon the Method of Varying Inquiry, offering a didactical approach to problem posing and solving activities that stimulates inquiry-based learning in mathematics classrooms. The model combines the inquiry-based framework with the variation theory and with specific didactical and theoretical elements (the…

Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…

Understanding the role of metacognitive judgements in science learning can significantly contribute to the qualification of both teaching and learning processes. We present some of the existing relationships between two important theoretical categories in education: metacognitive judgements and cellular theory learning. The research was conducted…

While research supports development of a growth mindset in middle level classrooms, it has not uncovered a single solution to developing such mindsets. This article presents a model supporting teachers on their journey to empower students to develop a growth mindset. Grounded in research on teaching and learning and coupled with best practices of…

Complex systems are made up of many entities, whose interactions emerge into distinct collective patterns. Computational modeling platforms can provide a powerful means to investigate emergent phenomena in complex systems. Some research has been carried out in recent years about promoting students' modeling practices, specifically using…

Curricula are regularly updated to keep pace with social developments and scientific advancements. In this context, a new curriculum called the Maarif Model of Century of Türkiye was introduced into the Turkish Education System in 2024. Taxonomic approaches are often employed in the development of curricula; however, the specific taxonomic…

The Next Generation Science Standards (NGSS) delineate three interrelated dimensions that describe what students should know and how they should engage in science learning. These present significant challenges for assessment because traditional assessments may not be able to capture the ways in which students engage with content. Science…

In the research reported in this paper, using a modified version of the interconnected model of teacher professional growth (IMTPG) proposed by Clarke and Hollingsworth (Teaching Teacher Educ 18:947-967, 2002), we aimed to understand the learning dynamics in a lesson study of a group of five teachers of grades 5-6, during their work around…

This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…

Innovative learning media are very important in supporting the learning process, including learning Arabic. Therefore, this study aims to develop video media for learning speaking skills as a medium for learning speaking skills for seventh grade students at MTS Negeri 39 Jakarta. The research was conducted using the Research and Development…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…