In postsecondary Science, Technology, Engineering, and Mathematics (STEM) education, equity issues regarding race and gender receive attention. On this attention, it is suggested to view from the sociopolitical perspective--mathematics is political, mathematics education is political, and equity is defined with the critical dimension of identity…

This study uses social network analysis and the classroom observation protocol for undergraduate STEM (COPUS) to characterize six research-based introductory physics curricula. Peer Instruction, Modeling Instruction, ISLE, SCALE-UP, Context-Rich Problems, and Tutorials in Introductory Physics were investigated. Students in each curriculum were…

Building Information Modeling (BIM) allows the integration of work teams, collaboration, and the generation of intelligent parametric digital models. Therefore, because BIM is a collaborative working methodology, it is not possible to effectively teach BIM without the use of collaborative teamwork. Traditionally, teaching at universities has…

This study investigated the dynamics of complex interactions within inquiry-based (IB) discussions by visualizing patterns using social network analysis. Researchers explored network measures when learners participated in inquiry-based discussions with Practical Inquiry Model (PIM) and non-PIM questions while playing the weekly moderator's role.…

This study uses positional analysis to describe the student interaction networks in four research-based introductory physics curricula. Positional analysis is a technique for simplifying the structure of a network into blocks of actors whose connections are more similar to each other than to the rest of the network. This method describes social…

Motivation helps drive students to success in general chemistry, and active learning environments with social interactions has consistently shown to improve motivation. However, analyzing student outcomes in an interactive environment is best done by considering students not as isolated units but as working together and influencing each other.…

Purpose: This study aims to uncover divergent collaboration in makerspaces using social network analysis to examine ongoing social relations and sequential data pattern mining to invesitgate temporal changes in social activities. Design/methodology/approach: While there is a significant body of qualitative work on makerspaces, there is a lack of…

The application of social network analysis (SNA) has recently grown prevalent in science, technology, engineering, and mathematics education research. Research on classroom networks has led to greater understandings of student persistence in physics majors, changes in their career-related beliefs (e.g., physics interest), and their academic…

Theorists suggest that collaboration is a key aspect in online, inquiry-based learning. However, research finds that meaningful interaction is challenging, and learners struggle to sustain interaction. One way to scaffold collaborative problem-solving is through case libraries; however, few studies have explored how the type of experience depicted…

Collaborative learning in small groups is commonly implemented as a part of student-centered curricula. In large-enrollment courses, details of the interactions among students as a consequence of working in collaborative groups are often unknown but are important because how students interact influences the effectiveness of peer learning. We…

Background: Studies continually show benefits of active learning in college classrooms, yet it is difficult to get faculty to adopt these methods. Particularly challenging is the final step of the instructional change process, "refreezing," when after making initial changes in instructional methods, instructors decide whether to continue…

Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment,…

The Modeling Instruction (MI) approach to introductory physics manifests significant increases in student conceptual understanding and attitudes toward physics. In light of these findings, we investigated changes in student self-efficacy while considering the construct's contribution to the career-decision making process. Students in the Fall 2014…

This collected papers dissertation explores students' academic interactions in an active learning, introductory physics settings as they relate to the development of physics self-efficacy and interest. The motivation for this work extends from the national call to increase participation of students in the pursuit of science, technology,…

This paper describes doctoral research that focuses on the development of a learning analytics framework for inquiry-based digital learning. Building on the Community of Inquiry model (CoI)--a foundation commonly used in the research and practice of digital learning and teaching--this research builds on the existing body of knowledge in two…