Visual representations, such as pathway models, are increasingly being used to both communicate higher education science, technology, engineering, and mathematics (STEM) education program evaluation plans as well as accurately represent complex programs and the systems within which the educational programs reside. However, these representations…

Background: It is well established in the literature that active learning instruction in introductory STEM courses results in many desired student outcomes. Yet, regular use of high-quality active learning is not the norm in many STEM departments. Using results of a national survey, we identified 16 departments where multiple instructors reported…

Despite continued efforts to address this issue, many students still exhibit misunderstandings regarding Newton's laws. These misconceptions include beliefs, such as every movement requires a force, that force is directly proportional to velocity, and that action-reaction forces can differ in magnitude. To mitigate these misunderstandings,…

The current work develops intelligent tutoring aspects for the DiscoverOChem learning platform. Intelligent tutoring systems are technology-based learning systems that can adapt the learning experience to better serve individual users. DiscoverOChem (www.discoverochem.com) is a free Internet-based platform for learning undergraduate-level organic…

Modeling an inter-ring torsional profile of a simple2,2'-bithiophenemolecule has been used to illustrate the main concepts associated with basic molecular modeling within an introductory course in a master's degree on computational modeling. The methodology proposed in the activity has been used to guide and train the student along the classical…

A physical chemistry lab for undergraduate students described in this report is about applying kinetic models to analyze the spread of COVID-19 in the United States and obtain the reproduction numbers. The susceptible-infectious-recovery (SIR) model and the SIR-vaccinated (SIRV) model are explained to the students and are used to analyze the…

Biochemistry curricula present a particular challenge to undergraduate students with abstract concepts which can lead to misconceptions that impede learning. In particular, these students have difficulty understanding enzyme structure and function concepts. Targeted learning activities and three-dimensional (3D) physical models are proposed to…

As part of COVID-19 preparedness, a student-developed, Android-based app was used as a pre-laboratory learning aid for a molecular modeling laboratory in a first-year general chemistry course. A worksheet activity with trigger codes and questions related to spatial features of transition metal complexes was designed. Using the Transition Metal…

We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…

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…

E-learning platforms and processes face several challenges, among which is the idea of personalizing the e-learning experience and to keep students motivated and engaged. This work is part of a larger study that aims to tackle these two challenges using a variety of machine learning techniques. To that end, this paper proposes the use of k-means…

The increasing use of information technology in the discovery of new molecular entities encourages the use of modern molecular-modeling tools to help teach important concepts of drug design to chemistry and pharmacy undergraduate students. In particular, statistical models such as quantitative structure--activity relationships (QSAR)--often as its…

Contribution: This paper demonstrates curricular modules that incorporate engineering model-based approaches, including concepts related to circuits, systems, modeling, electrophysiology, programming, and software tutorials that enhance learning in undergraduate neuroscience courses. These modules can also be integrated into other neuroscience…

At universities where introductory physics labs are taught by graduate student teaching assistants (TAs), there is a need for specialized professional development for those TAs. This paper presents a specific instantiation of a model for lab TA professional development that uses a combination of cognitive apprenticeship and expectancy-value…

The focus of this study was to evaluate the impact of model-based inquiry on pre-service physics teachers' conceptual understanding of dynamics. Theoretical framework of this research was based on models-of-data theory. True-experimental design using quantitative and qualitative research methods was carried out for this research. Participants of…