This is a systematic review of empirical studies on graduate students' research motivation, a key factor for improving their research performance. A total of 57 articles and conference papers between 1993 and 2023 were identified through the thorough search process and quality assessment, and their research categories and themes, theories, and…

This study seeks to enrich our understanding of modeling-based learning (MbL) in kindergarten science education, investigating the influences of different modeling tools on kindergarten child-constructed models and their modeling reasoning. Therefore, this multi-case study aimed at providing in-depth descriptions of how MbL was enacted by 66…

While Bhutanese biology teachers are expected to possess a rich understanding of scientific models, little is known about their perceptions of scientific models. This study, thus, examined Bhutanese biology teachers' perceptions of scientific models. The study recruited one hundred and eleven (N = 111) biology teachers using a total population…

An ongoing discussion is a debate about the benefits of outdoor activities for health, where a narrowness regarding the benefits as a matter of curing or preventing disease has been questioned. Hence, there is an urgent need to theorize further the relationship between outdoor activities and health with robust theoretical frameworks that can guide…

Difficulties regulating emotions have been coined as inherent to autism, possibly even presenting a core difficulty of autism. While several models of emotion regulation have been proposed in the past, in this targeted review article, we aim to map emotion regulation difficulties in autistic individuals within the framework of the extended process…

Personal experiences and cultural factors can shape art therapists' art making preferences and aversions. By reflecting on the Expressive Therapies Continuum (ETC), the author explores the impact of these realizations on her clinical practice with a case example. Implications for practice include the importance of understanding oneself as an…

The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…

This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR…

Diagnostic classification models (DCMs) are psychometric models that provide probabilistic classifications of examinees on a set of discrete latent attributes. When analyzing or constructing assessments scored by DCMs, understanding how each item influences attribute classifications can clarify the meaning of the measured constructs, facilitate…

Self-determination, as a vital topic for individuals with disabilities, has received a narrow investigation in Saudi Arabia and the Middle Eastern communities. Therefore, it is imperative to examine evidence-based practices to furnish insight into the efficacy of self-determination models not only through theoretical research methods but also via…

This dissertation consists of three chapters that contribute to the fields of macroeconomics, economic development, and entrepreneurship. In the first chapter, "Entrepreneurship Selection and Performance in the U.S. and Across Countries: The Role of Human Capital," I seek to establish a set of stylized facts related to entrepreneurship…

Students often see college courses as the presentation of disconnected facts, especially in the life sciences. Student-created Structure Mechanism/Relationship Function (SMRF) models were analyzed to understand students' abilities to make connections between genotype, phenotype, and evolution. Students were divided into two sections; one section…

Learning analytics (LA), like much of machine learning, assumes the training and test datasets come from the same distribution. Therefore, LA models built on past observations are (implicitly) expected to work well for future observations. However, this assumption does not always hold in practice because the dataset may drift. Recently,…

Teaching leadership in today's world requires a combination of introducing theory and best practices, as well as allowing moments that are happening in real-time, both current events and interactions from the "laboratory" of the classroom, to affect the teaching agenda. Instructors can lean into the model of Intentional Emergence (IE) to…

Leadership development in early education and care is one of the most pressing priorities in the field today. Since 2017, the Whole Leadership Framework has provided a conceptual model for national competencies for early childhood program leaders. This report discusses some of the many contributors and their significant contributions to the…