In this industrial revolution era, university-level education emphasises higher-order thinking skills. This research aims to analyse the effect of implementing the PjB-HOTS learning model on cognitive learning, creative thinking skills, analytical thinking skills, and metacognitive skills of the students studying osmoregulation concepts in Animal…

The aim of this study was to compare the 5E learning model with traditional learning methods in terms of their effect on students' conceptual understanding of water subtopics. The participants of the study were grade 8 students of 2021 academic year. While 27 of them were randomly assigned to the experimental group, the other 27 were assigned to…

Kinetic energy is usually the entry point for the study of energy in physics and is often perceived as unproblematic. We present evidence, however, that some learners who seem to have accepted the concept, from elementary school students to college physics majors and in-service teachers, nevertheless do not consistently attribute kinetic energy to…

Concept map (CM) is introduced as a useful tool for studying students' system thinking (ST). However, it is more known to represent students' knowledge of system components and organization and less recognized as a tool to examine and enhance students' understanding about the underlying causal mechanisms in complex systems. In this study, through…

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…

Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…

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)…

The abstract nature of quantum mechanics makes it difficult to visualize. This is one of the reasons it is taught in the language of mathematics. Without an opportunity to directly observe or interact with quantum phenomena, students struggle to develop conceptual understandings of its theories and formulas. In this paper we present the process of…

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…

In order for children to understand and reason about the world in an adult-like fashion, they need to learn that conceptual categories are organized in a hierarchical fashion (e.g., a dog is also an animal). While children learn from their first-hand observation of the world, social knowledge transmission via language can also play an important…

The learning model should be able to improve student's learning abilities. The Brain-Based Whole Learning (BBWL) model is one of the alternative learning models that can improve students' retention achievement, supported by scientific literacy and concept mastery. This study aims to determine the effect of the BBWL model on students' scientific…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

In order to develop an expert-like mental model of complex systems, causal reasoning is essential. This study examines the differences between forward and backward instructional strategies in terms of efficiency, students' learning and progression of their mental models of the electronic transport chain in an undergraduate metabolism course…

There is a knowledge gap in best practices for incorporating performance arts into science instructions. The study focused on the design and implementation of the Performance Arts Enhanced 3-Stage Instructional Model (PAEIM), which incorporated drama, dance and music. The PAEIM was implemented in mixed factorial quasi-experimental research during…

The present study investigates the processes of how German middle school students (age 14) interpret, contrast and evaluate different (informal) statistical measures in order to summarise and compare frequency distributions. To trace the developing insights into the properties of these measures, this paper uses the 'emergent modelling'…