Inquiry methods have been successful in improving science literacy in students of all ages. Model-Based Inquiry (MBI) is an instructional model that engages students in the practices of science through the collaborative development of scientific models to explain an anchoring phenomenon. Student ideas are tested through engagement in content-rich…

The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…

Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…

This book analyses discourses of inclusive schooling and engaging motivational environments globally. It focuses on the student's identity, belonging, performance in the classroom, and the significance of cognitive, cultural, emotional and social capital to student's academic achievement. The book discusses and evaluates the shifts in…

While interest in the learning of a language other than English (LOTE) has increased, research on how to foster learners' motivation towards learning a LOTE is still scarce. With a specific focus on learners' ideal LOTE and multilingual selves, this article reports on an intervention study which employed near peer role model (NPRM) to construct…

The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…

Naturalists enrich our scientific understanding of biodiversity. However, just as countries have fallen behind on commitments to provide biodiversity conservation funding, so has the focus of life science stayed arm's length. The purpose of this article is to consider why biodiversity should be the center of life sciences education and how…

This study examines essential factors that affect children' quality of response towards a non-traditional learning platform specifically, self-learning modules (SLMs) as Philippine public school's mode of service-learning delivery. Our objective is to determine the predictive power of access to internet, household food security, and parental…

This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…

Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…

The purpose of this study is to develop and validate an authentic contextual learning framework with six constructs to model the relationships among essential factors of authentic contextual learning. In particular, this framework explores the relationships across six constructs, i.e. learning by applying, healthy learning, collaborative learning,…

Undergraduate science, technology, engineering, and mathematics (STEM) students' motivations have a strong influence on whether and how they will persist through challenging coursework and into STEM careers. Proper conceptualization and measurement of motivation constructs, such as students' expectancies and perceptions of value and cost (i.e.,…

Epidemiological models have enhanced relevance because of the COVID-19 pandemic. In this note, we emphasize visual tools that can be part of a learning module geared to teaching the SIR epidemiological model, suitable for advanced undergraduates or beginning graduate students in disciplines where the level of prior mathematical knowledge of…

One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly administered in each assessment. Linking methods based on item response theory (IRT) models are used to align the results from the different…