The aim of this study was to identify students' motivational beliefs in science and revealed the connections between the profiles and three cognitive dimensions of science achievement through the examination of the socio-economic status (SES) and gender covariates of the profile memberships. Latent profile analysis using science motivational…

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four…

Students need a strong understanding of how to represent chemical compounds in order to succeed in organic chemistry. This project set out to gain a better understanding of students' difficulties with symbolic representations, by identifying the specific errors associated with drawing wedge-dash structures. The focus was on how students…

Relying on self-report to understand how children solve cognitive tasks has limitations, particularly with young children. Recent advances in eye-tracking technology allow researchers to leverage this tool to measure young children's strategies for solving cognitive tasks. The current study focuses on young children's mental rotation ability given…

Learning with games requires two types of information, namely domain-specific information and game-specific information. Presenting these two types of information together with gameplay may pose a heavy demand on cognitive resources. This study investigates how timing of information presentation affects cognition (ie, mental effort and…

Advances in embodied learning and the use of gesture has gained greater interest amongst educators and researchers in recent years. The emerging evidence supporting the use of physical enactment rather than just auditory modes of instruction remains unresolved. This paper investigates the pedagogical methods used by a science teacher instructing a…

For nearly two decades, augmented reality (AR) has found diverse applications in education, particularly in science education, where its efficacy has been supported by relevant theories and many empirical studies. However, previous studies have revealed the following research deficit: While AR technology appears to influence learning-related…

This research aims to examine the self-regulation of students with different achievement levels toward science learning based on Zimmerman's model including three phases: forethought, performance, and self-reflection. The research was conducted based on the case study from the qualitative research method. The study group consisted of 12 students…

Cognitive load is the effort needed to process and store information in memory and can be measured via subjective, physiological, and performance methods. Virtual reality learning environments (VRLEs) enhance science aptitude and motivate students to pursue science careers. Cognitive load is divided into three types: intrinsic, extraneous, and…

This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…

During the COVID-19 pandemic, anatomy educators have demonstrated their ability to respond to face-to-face (F2F) teaching restrictions and offer emergency remote teaching and learning (ERTL) approach. Another educational model that was intensified during COVID-19 was blended learning (BL) which is a combination of F2F and online settings. Studies…

The purpose of this article is to introduce a methodology for analyzing the complex configurations emerging in students' speech and drawing activities, having consequences for how and what students learn and make meaning of in science. Accordingly, we launch a methodology to unfold the multidimensional communication as to deepen the analysis of…

Virtual Chemistry Laboratories (VCLs) are used as an alternative to the physical laboratories, where users can enhance their performance for hands-on chemistry experiments. However, cognitive load and other issues make the VCLs impractical. The issue of cognitive load arises due to the complexity of the environment by displaying a number of…

This study aims to investigate the relationship between some protective factors and the academic achievements in science and mathematics classes of socioeconomically disadvantaged eighth-grade students. The quantitative research method and relational screening model were employed in the research. The sample of the study consisted of 250 students…

Concept Mapping (CM) is a learning strategy to organize and understand complex relationships, which are particularly characteristic of the natural science subjects. Previous research has already shown that constructing concept maps can promote students' meaningful learning in terms of deeper knowledge and its more flexible use. While researchers…