The purpose of this study is to demonstrate clustering methods within a functional data analysis (FDA) framework for identifying subgroups of individuals that may be exhibiting categories of misfit. Person response functions (PRFs) estimated within a FDA framework (FDA-PRFs) provide graphical displays that can aid in the identification of persons…

Hierarchical linear modeling (HLM) is often used to estimate the effects of socioeconomic status (SES) on academic achievement at different levels of an educational system. However, if a prior academic achievement measure is missing in a HLM model, biased estimates may occur on the effects of student SES and school SES. Phantom effects describe…

The method for producing monoclonal antibodies (MAbs) was first published in 1975. MAbs have revolutionised research, diagnosis, and disease treatment approaches. While students need a good understanding of MAb production, teaching the key steps via traditional methods can be challenging. Numerous resources exist, but these focus on hybridoma…

Recent advancements in computer graphics and hardware have driven the resurgence of virtual reality (VR). Past literature has reported the use of VR in education, especially for teaching spatially complex concepts. However, there are limited data available on the precise role of VR game design elements. In this study, we introduce a new VR game,…

Achieving deeper and permanent learning has always been the focus of teaching force. This purpose is independent of the teaching level or subject matter. Pre-service teachers' lack of interest and inability to connect learning levels are partly cited for their inability to develop this deeper and permanent learning of science concepts. In this…

This study develops a framework to conceptualize the use and evolution of machine learning (ML) in science assessment. We systematically reviewed 47 studies that applied ML in science assessment and classified them into five categories: (a) constructed response, (b) essay, (c) simulation, (d) educational game, and (e) inter-discipline. We compared…

Enzyme-linked immunosorbent assay (ELISA) is a valuable tool in various chemical and biological fields for investigating the presence and quantity of proteins of interest in given samples. The high importance of the assay makes it widely used in biological research and hence a crucial skill to master for up-and-coming scientists. A major…

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…

Virtual and augmented reality have seen increasing employment for teaching within medical and health sciences programs. For disciplines such as physiology and anatomy, these technologies may disrupt the traditional modes of teaching and content delivery. The objective of this systematic review and meta-analysis is to evaluate the impact of virtual…

This study describes the role that Rasch measurement played in the development of assessments aligned to the "Next Generation Science Standards," tasks that require students to use the three dimensions of science practices, disciplinary core ideas and cross-cutting concepts to make sense of energy-related phenomena. A set of 27…

This current study presents the effects of interactive computer simulations on students' performance and concept retention in the unit of chemical reactions. Purposive sampling was used to select four schools with a sample population of 320. The Achievement test on chemical reactions was developed, validated, and checked for reliability. The…

The aim of this study was to determine the impact of three different software simulations for studying Ohm's law and connecting resistors on students' academic performance. A total of 168 eighth-grade pupils were divided into three groups. The first group used the software containing the simulation with an already created electrical circuit, an…

Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…

Some science subjects are often perceived to be difficult and boring by students due to their nature and the way they are taught. This study sought to check the effectiveness of the technology-enhanced instruction method with comprehensive use of virtual labs and animations in teaching nerve cells' (neurons and glial cells) structures and…

Peer Instruction (PI), a student-centred teaching method, engages students during class through structured, frequent questioning, facilitated by classroom response systems. The central feature of PI is the ConcepTest, a question designed to help resolve student misconceptions around the subject content. Within our coordination chemistry PI…