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…

Contribution: During the lockdown period of the COVID-19 pandemic, online oral exams have become a necessary reality. Considering the possibility of carrying out and recording the oral exam sessions, analyses were conducted to assess how the speaking time ratio and emotional states are affected during the exams. Background: Although many studies…

There is a collective agreement about the necessity of content knowledge (CK) as a prerequisite for pedagogical content knowledge (PCK). However, most PCK models lack explanatory power because of the missing link between CK and PCK. Thus, the study firstly attempts to develop a theoretical model that consists of knowledge of students' learning…

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 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…

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…

Understanding scientific models and practicing scientific modeling have been emphasized and advocated in science learning. Although teachers have been perceived as shaping their students' understanding of the nature of science, they have been recognized for their lack of understanding of scientific models. This study explores middle school science…

We present the results of a study of Chilean students' understanding of scientific models, using a Spanish-adapted version of the Students' Understanding of Models in Science instrument (Treagust, D. F., Chittleborough, G., & Mamiala, T. L. (2002). Students understanding of the role of scientific models in learning science. "International…

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…

This study addresses the need for innovative research approaches in science education for understanding better the inter-relationships between emotion and cognition in learning, using a sociological perspective. Our perspective draws upon the concept of emotional energy that is described as an outcome from successful social interactions during…

To maintain understanding, usage, and interrelations of English vocabularies by Iraqi second language learners (L2) is a challenging mission. In the current study, the cognitive linguistic theory of domains by Langacker (1987) is adopted to provide new horizons in learning vocabulary and qualify Iraqi students with a deep knowledge analysis of the…

This study investigated relationships between the thinking processes that 28 undergraduate chemistry students engaged in during guided discovery and their subsequent success at reasoning through a transfer problem during an end-of-semester interview. During a guided-discovery laboratory module, students were prompted to use words, pictures, and…

An ontological causal relation is a quantified relation between certain interactions and changes in corresponding properties. Key ideas in physics, such as Newton's second law and the first law of thermodynamics, are representative examples of these relations. In connection with the teaching and learning of these relations, this study investigated…

Carbon cycling is a key natural system that requires robust science literacy to understand how and why climate change is occurring. Studies show that students tend to compartmentalize carbon movement within plants and animals and are challenged to make sense of how carbon cycles on a global scale. Studies also show that students hold faulty models…

The Digital Agenda for Europe (2015) states that there will be 825,000 unfilled vacancies for Information and Communications Technology by 2020. This lack of IT professionals stems from the small number of students graduating in computer science. To retain more students in the field, teachers can use remote robotic experiments to explain difficult…