The results of online learning were not optimal, as evidenced by the unsatisfactory learning outcomes. These issues influenced students who had a poor understanding of concepts and those who were quick to learn. It was the reason for the study that aims to analyze the effectiveness of study, explore, implement, evaluate (SEIE) model e-learning…

Good concept mastery through critical thinking using various approaches, models, strategies, and methods of learning German is essential for the Education 4.0 era. Therefore, this study aimed to analyze the concept mastery and critical thinking skills of German language students at Pattimura University using collaborative learning that combines…

Competence with rational numbers is essential for mathematics proficiency in secondary mathematics. However, many students struggle with rational number concepts, and students with mathematics difficulties struggle even more. The purpose of this study was to examine the effects of an intervention that incorporated the use of explicit instruction…

This paper discusses the significance of model-based teaching on the topic of ionic and metallic bonding in Year 12 Chemistry in a New Zealand secondary school. Based on the conceptualization of the sub-macro level understanding of the bonding structure and properties of ionic and metallic compounds, models and drawings were used as an effective…

A substantial number of empirical studies in the field of Early Childhood Science Education have explored science concept formation in early childhood educational settings. Most of these studies focus on the process of science concept formation during a teaching intervention or a school year period. However, less is known about how children form…

This pilot study investigates the way that young students and teachers of a Dutch Science Technology Engineering and Mathematics (STEM) secondary school subject Research and Design (R&D) reason about the concept of 'model'. The core of the Dutch Technasium secondary school course Research and Design curriculum (R&D is in Dutch called…

Although teachers are eager to facilitate community of inquiry (CoI) in their classrooms, they also fear being unable to convey the necessary knowledge to their students in an inquiry due to the inherent involvement of conflicting views, confusion, and a lack of strict definitions about the concepts. The author argues that the banking model of…

Concepts contain rich structures that support flexible semantic cognition. These structures can be characterized by patterns of feature covariation: Certain features tend to cluster in the same items (e.g., "feathers," "wings," "can fly"). Existing computational models demonstrate how this kind of structure can be…

5E instructional model is commonly utilized in science teaching to promote conceptual learning. However, the benefit of 5E instructional model cannot be fully attained if the knowledge and skills essential to learning were not properly established from past. Similarly, the development of new concepts cannot be fully attained if the important…

Framing, implementing, and engaging youth in authentic scientific inquiry are highly valued in science education; however, we have very limited knowledge of the nature and use of tools that accomplish these. Therefore, we proposed that board game design is a meaningful tool for engaging youth in understanding environmental issues. We reported…

Introduction: Psycholinguistics presents a challenge to teaching and learning because of the many abstract models in the field. Language-related games provide a vehicle for students to ground and demonstrate their understanding of these models. Statement of the problem: Models in psycholinguistics are challenging to teach and learn because they…

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)…

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…

Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…

The phenomenon of misconception and poor conceptual understanding is a problem that often occurs in science learning, not least in physics learning. Learning models that specifically aim to improve conceptual understanding and remediate misconceptions are not widely available. This study aims to determine the effect of the CCBL model in improving…