The initial learning experience is a critical opportunity to support conceptual understanding of abstract STEM concepts. Although hands-on activities and physical three-dimensional models are beneficial, they are seldom utilized and are replaced increasingly by digital simulations and laboratory exercises presented on touchscreen tablet computers.…

Background: Immersive virtual reality (IVR) is a new technology that could motivate learners, but also could contain distracting elements that increase cognitive demands on learners. In contrast, learning with conventional media, such as a narrated slideshow could be less motivating, but also less distracting. Objectives: This experiment…

This study compared physical and digital models of a scientific topic in order to determine representational competence, short- and long-term cognition, and the extent to which physical or digital interfaces enhance spatial ability. The DNA molecule was used as a representative spatial topic to investigate conceptual and spatial understanding.…

This study explored the impact of oxidation-reduction reaction problem difficulty on university students' cognitive load using event-related potentials (ERPs). Forty-eight balanced low and high difficulty problems were designed. Fifteen undergraduate students majoring in chemistry (8 females and 7 males) participated in the study. Results…

Background: Cognitive and linguistic factors have been incorporated into models to explain reading comprehension beyond classical models of reading. This study explores the contribution of executive functions, mainly domain-general and reading-specific cognitive flexibility, in reading comprehension of science texts in monolingual Spanish speaking…

Aim/Purpose: This study aims to analyze the cognitive load experienced by secondary school students in Biology within m-learning environments and its impact on learning performance. Background: Cognitive load has become a critical issue that schools need to address to ensure students can excel in their learning without being overwhelmed. While…

Current initiatives to transform undergraduate STEM education in the United States advocate for the use of multidimensional learning, wherein instruction provides opportunities for students to gain competency with fundamental or cross-disciplinary concepts and practices. To achieve this goal, the discipline-based education research (DBER)…

Following a theoretical framework that recognizes the potential of promotive and inhibitive effects on children's development, this study explored child-, family-, classroom-, and school-level factors as predictors of Latinx (N = 4,590) students' early elementary science achievement. Research Findings: Employing a path modeling approach with…

Science learning requires visuospatial thinking. Accordingly, spatial ability is regarded as the key to learning science well, but its effects are sometimes not as significant as expected. To this end, this research aims to conceptualize spatial abilities and to clarify their relation to science learning based on an analysis of empirical studies.…

A thorough understanding of the molecular biosciences requires the ability to visualize and manipulate molecules in order to interpret results or to generate hypotheses. While many instructors in biochemistry and molecular biology use visual representations, few indicate that they explicitly teach visual literacy. One reason is the need for a list…

Learners underperform in stoichiometry as they lack conceptual reasoning of the underlying concepts and the ability to solve stoichiometric problems. Therefore, it was necessary to determine if there is a statistical correlation between problem-solving skills and conceptual reasoning in stoichiometry and if so, whether one can significantly…

Working memory is a cognitive system that allows for the simultaneous storage and processing of active information. While working memory has been implicated as an important element for success in many science, technology, engineering, and mathematics (STEM) fields, its specific role in geoscience learning is not fully understood. The major goal of…

Studies in cognitive science have verified that working memory (where the brain solves problems) can manipulate nearly all elements of knowledge that can be recalled automatically from long-term memory, but only a few elements that have not previously been well memorized. Research in reading comprehension has found that "lecture notes with…

Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling…

The study sought to determine the relationship between problem-solving skills and measure of working memory and attention span of science students of low ability level. The study adopted correlational survey research design. The population for the study comprised all Secondary School I (SSI) that offered physics, chemistry and biology as school…