Although there has been extensive research on students' understanding of the particulate nature of matter (PNM), there is still a lack of research on contexts that can be used to teach this challenging topic. In a previous design-based research study, the authors developed a teaching-learning sequence (TLS) on the PNM in the context of crystal…

This quasi-experimental study aims to compare the effects of using combinations of written text, animation and narration in multimedia courseware. 114 sixth grade students assigned in three conditions were participated in the study. Three versions of the courseware with combinations of animation, text and narration were developed taking modality…

An increasing number of people are going online to learn in their everyday lives. Learning and integrating new information from online sources can be difficult because it takes time and taxes human memory (Greene et al., 2018b). People must self-regulate while learning online to accurately and aptly learn new information (Azevedo, 2005).…

The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…

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)…

Relational reasoning, or the ability to identify meaningful patterns within streams of information, has emerged as an important factor in a variety of complex tasks. One factor that has received relatively little research attention, however, is how relational reasoning may be influenced by the representational systems (i.e., verbal or nonverbal)…

This research study sought to determine whether pre-reading assignments have an impact on a student's academic performance. Learning a new topic which oftentimes seems foreign is never easy. However, reading a short article or reviewing a slide-show presentation on the lecture topic before the lecture happens (otherwise known as a pre-reading…

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…

Testing as an assessment technique has been widely used at all levels of education--from primary to higher school. The main purpose of the paper is to evaluate the effect of context-based testing in teaching and learning of analytical chemistry in a Russian university. The paper formulates the objectives of context-based testing, discusses its…

The essence of Genetics lies in the understanding of the concepts of Central Dogma of Molecular Biology. Although these ideas are fundamental to the field, they are notoriously difficult to understand and visualize. While simulation-based instructional materials are found to improve the teaching-learning process in science education, little has…

This study assessed the impact of an "active learning" strategy employed alone or in combination with traditional lectures on the learning of mammalian physiology by undergraduate students. The study investigated the impact of three teaching strategies, namely (1) traditional lecture, (2) group discussion alone, and (3) combination of…

The aim of this study was to show that some of the errors made by students when responding to mathematics assessment items can indicate progress in the development of conceptual understanding. By granting partial credit for specific incorrect responses by early secondary students, estimates of the difficulty of demonstrating full and partial…

The COVID-19 outbreak has had a significant impact on higher education worldwide. In-person courses had to be quickly transited to online, including lab courses embedded with Course-based Undergraduate Research Experiences (CUREs). In response to this challenge, we successfully converted a fully in-person biochemistry lab that integrated with a…

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…

The course of science is considered to boring and difficult course to be understood by students of science education program. The aims of this research are examine the effect of RMS learning model in mastering the students concepts; 2) examine the effect of difference academic ability in mastering students concept; 3) examine the effect of…