This research aims to determine the effects of model-based science teaching on students' academic achievements and science process skills for a science and technology course. A quasi-experimental research method was used for this study. Study participants were 48 7th grade students. The application was carried out over a period of 4 weeks. During…

Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…

Developing understanding of models and proficiency with modeling practice is challenging for both teachers and students. This 2-year study first investigated existing instructional strategies employed by teachers while teaching Earth and Space Science with dynamic physical models. Summer professional development introduced a conceptual framework,…

This paper demonstrates an experimental integrated lesson of physics and calculus in a topic of fluid force applying on different shapes of dams. This lesson was designed for the first year students in engineering program in an attempt to show them the connection between these two disciplines, as well as to introduce more advanced…

Background and Purpose: Metavisualization plays a key role in science and technological learning in which visualization is practiced. We conducted two sequential studies with the purposes to first develop an instrument that allows individuals to report or reflect on their metavisualization, and then validate the instrument and investigate the…

This paper focuses on examining the effectiveness of three-dimensional (3D) computer models on student teachers' academic achievement, mental model construction, and spatial ability used in learning the "atomic models" topic in this study. The students were randomly assigned into two groups: the treatment group (TG) where 3D computer…

Student dropout is a major concern in studies investigating retention strategies in higher education. This study identifies which variables are important to predict student dropout, using academic data from 3583 first-year students on the Business Administration (BA) degree at the University of Barcelona (Spain). The results indicate that two…

Attrition from the science, technology, engineering, and math (STEM) pipeline limits the number of graduates needed to meet STEM workforce demand and impedes efforts to diversify the workforce. Identifying factors that underlie academic success and STEM persistence is an important component to increasing the number of STEM graduates. The current…

Objective/Research Question: This paper reports on data collected in a multi-year National Science Foundation grant project involving a professional development (PD) model built to support community college faculty as change agents (CAs). The research question was: How do disciplinary communities of practice (CoP) emerge among community college…

Attracting and retaining diverse individuals is a core goal for reform efforts within in Science, Technology, Engineering, and Mathematics (STEM) gateway courses. Evidence-based instructional strategies in STEM, including those that incorporate scientific practices, have demonstrated promising findings regarding student learning gains. Inspired by…

Anatomy and physiology (AP) are subfields of biology that are gatekeeper courses for the health professions. This exploratory study used multilevel binary logistic regression to determine if age/gender and race/ethnicity were used as predictors of success, while the term offered and the identification number were specified as random effects. Two…

The "Next Generation Science Standards" call for engaging K-12 students in three-dimensional learning, in which students make sense of phenomena or solve problems by simultaneously using science and engineering practices (SEPs), crosscutting concepts (CCCs), and disciplinary core ideas (DCIs). Decades of education research suggest…

In the context of education big data, it uses data mining and learning analysis technology to accurately predict and effectively intervene in learning. It is helpful to realize individualized teaching and individualized teaching. This research analyzes student life behavior data and learning behavior data. A model of student behavior…

The purpose of this study is to investigate the impact of context-based chemistry education on the metacognition and multiple-intelligences of preservice chemistry teachers, and their achievement in chemistry lessons in the laboratory environment that includes the 4Ex2 model. Within the framework of the general chemistry laboratory lesson, the…

Since the late twentieth century, with the development of the Internet of Things (IoT), the IoT covers the application of comprehensive knowledge and technology in the fields of circuitry, physics, mechanics, and information, making it a suitable topic for hands-on science, technology, engineering, and mathematics (STEM) activities. The IoT covers…