In higher education, teacher empathy is a term that refers to the empathetic skills of teachers and has been researched since the 1980s. Multiple studies in fields such as medicine, nursing and psychology have shown that teacher empathy has reduced teacher burnout, improved teacher satisfaction and student performance. Within engineering education, there is increased research on empathy in recent years, but primarily aimed at introducing and improving empathetic skills of engineering students. There is little research on teacher empathy within engineering education. In my current study, I explored the potential longitudinal impact in perception of teacher empathy among three engineering faculty members as they utilized empathetic actions while teaching a second-year engineering course. I also explored the motivations and challenges that could arise in teacher empathy implementation. I used the Model of Empathy Framework developed by Walther and colleagues to define the complex attributes of empathy in an engineering context. I chose Teacher Action Research (TAR) methodology to provide agency to my three participants and research with them instead of on them. TAR allowed the participants to choose the empathetic actions they want to implement and to iterate when they feel appropriate. I found that all three participants had positive outcomes in their classrooms. Reduced teacher burnout, improved teacher satisfaction, and better student performance were some of the major benefits of teacher empathy that aligned with prior research. Improved confidence in their empathetic skills was observed for two participants as they showed positive evolution of their perception about teacher empathy. The other participant did not have any significant longitudinal impact in perception but was able to increase the number of empathetic approaches he could use in his classroom. External situations such as classroom technology malfunctions, having meetings or classes immediately before a class and balancing between being empathetic and being tough were some of the major challenges. Findings indicate that similar positive benefits as found in other disciplines can be realized within engineering education. The outcome of this study could be used by Learning and Teaching Centers Department Heads and University Deans to expand the implementation of teacher empathy within a college or university setting.

A defining feature of many United States (U.S.) doctoral engineering programs is their large proportion of international students. Despite the large student body and the significant impacts that they bring to the U.S. education and economy, a scarcity of research on engineering doctoral students has taken into consideration the existence of international students and the consequential diversity in citizenship among all students. This study was designed to bridge the research gap to improve the understanding of sense of belonging from the perspective of international engineering doctoral students.

A multi-phase mixed methods research approach was taken for this study. The qualitative strand focused on international engineering doctoral students’ sense of belonging and its constructs. Semi-structured interview data were collected from eight international students enrolled at engineering doctoral programs at four different institutions. Thematic analysis and further literature review produced a conceptual structure of sense of belonging among international engineering doctoral students: authentic-self, problem behavior, academic self-efficacy, academic belonging, sociocultural belonging, and perceived institutional support.

The quantitative strand of this study broadened the study’s population to all engineering doctoral students, including domestic students, and conducted comparative analyses between international and domestic student groups. An instrument to measure the Engineering Doctoral Students’ Quality of Interaction (EDQI instrument) was developed while considering the multicultural nature of interactions and the discipline-specific characteristics of engineering doctoral programs. Survey data were collected from 653 engineering doctoral students (383 domestic and 270 international) at 36 R1 institutions across the U.S. Exploratory Factor Analysis results confirmed the construct validity and reliability of the data collected from the instrument and indicated the factor structures for the students’ perceived quality interactions among domestic and international student groups. A set of separate regression analyses results indicated the significance of having meaningful interactions to students’ sense of belonging and identified the groups of people who make significant impacts on students’ sense of belonging for each subgroup. The emergent findings provide an understanding of the similarities and differences in the contributors of sense of belonging between international and domestic students, which can be used to develop tailored support structures for specific student groups.

This graduate thesis explains and discusses the background, methods, limitations, and future work of developing a low-budget, variable-length, Arduino-based robotics professional development program (PDP) for middle school or high school classrooms. This graduate thesis builds on prior undergraduate thesis work and conclusions. The main conclusions from the undergraduate thesis work focused on reaching a larger teacher population along with providing a more robust robot design and construction. The end goal of this graduate thesis is to develop a PDP that reaches multiple teachers, involves a more robust robot design, and lasts beyond this developmental year. There have been many similar research studies and PDPs that have been tested and analyzed but do not fit the requirements of this graduate thesis. These programs provide some guidance in the creation of a new PDP. The overall method of the graduate thesis comes in four main phases: 1) setup, 2) pre-PDP phase, 3) PDP phase, and 4) post PDP phase. The setup focused primarily on funding, IRB approval, research, timeline development, and research question creation. The pre-PDP phase focused primarily on the development of new tailored-to-teacher content, a more robust robot design, and recruitment of participants. The PDP phase primarily focused on how the teachers perform and participate in the PDP. Lastly, the post PDP phase involved data analysis along with a resource development plan. The last post-PDP step is to consolidate all of the findings in a clear, concise, and coherent format for future work.

Engineering is an interdisciplinary field that requires extensive knowledge of STEM topics. The ability to apply mathematical concepts in engineering applications is no exception. Some undergraduate engineering students struggle with early course work typically entrenched in learning underlying mathematics. Students are often able to understand engineering principles, but are unable to understand the mathematics behind the principles. This is due to students finding it difficult to make connections and apply mathematics outside of routine computational calculations.

Traditional instruction of mathematics has relied predominantly on teacher-centered pedagogies or passive learning (e.g lecture). Active learning differs in that it includes student-centered approaches and has been shown to increase student understanding in STEM courses.

The purpose of this study is to explore and discover what elements lead to good problem-solving tasks in an active learning mathematics focused classroom. Elements were determined using interviews with mathematics instructors that currently use active learning techniques and problem-solving tasks in their classrooms. Instructors were asked to describe the process they use for creating tasks. An instructor’s guidebook will be created and made available based on the findings and discoveries of this study on how to create problem-solving tasks.

The three main categories of emergent themes were task structure, task development, and problem-solving environment. The emergent themes in task structure are useful for understanding what elements make a good problem-solving task. Knowing the particular challenges previous instructors faced in creating an active-learning environment will help instructors avoid common pitfalls. These elements of creating a problem-solving environment will also be included in the guidebook as a class cannot have good problem-solving tasks without an environment conducive to active learning.

Background – Among influential education reports, there is clear consensus that an expansive range of intrapersonal (e.g. self-regulation) and interpersonal competencies (e.g. empathy) highly influence educational and career success. Research on teaching and learning these competencies is limited in engineering education.

Purpose/Hypothesis – This dissertation study explores the impacts of a mindfulness training program on first-year engineering students and aims to understand potential impacts on the development of intrapersonal and interpersonal competencies.

Design/Method – A four-session mindfulness-based training program was designed, developed, and facilitated to cultivate intrapersonal and interpersonal competencies. This study employed a multiphase mixed method design in which quantitative and qualitative data was collected from a total of 35 different students through a post survey (n=31), 3-month follow-up survey (n=29), and interviews (n=18). t-tests were used to evaluate the statistical significance of the program and a rigorous thematic analysis process was utilized to help explain the quantitative data.

Results – The results suggest that the majority of students became more mindful, which led to improved intrapersonal competencies (i.e. self-management, critical-thinking, focus, resilience, and well-being) and interpersonal competencies (i.e. empathy, communication, teamwork, and leadership).

Discussion / Conclusions – The study provides compelling evidence that mindfulness training can support the development of intrapersonal and interpersonal skills among engineering students, which can support their overall academic experience, as well as personal and professional development. Future design and development work will be needed to evaluate the integration and scalability potential of mindfulness training within engineering programs.

There has been a growing emphasis on the education of future generations of engineers who will have to tackle complex, global issues that are sociotechnical in nature. The National Science Foundation invests millions of dollars in interdisciplinary engineering education research (EER) to create an innovative and inclusive culture aimed at radical change in the engineering education system. This exploratory research sought to better understand ways of thinking to address complex educational challenges, specifically, in the context of engineering-social sciences collaborations. The mixed methods inquiry drew on the ways of thinking perspectives from sustainability education to adapt futures, values, systems, and strategic thinking to the context of EER. Using the adapted framework, nine engineer-social scientist dyads were interviewed to empirically understand conceptualizations and applications of futures, values, systems, and strategic thinking. The qualitative results informed an original survey instrument, which was distributed to a sample of 310 researchers nationwide. Valid responses (n = 111) were analyzed to uncover the number and nature of factors underlying the scales of futures, values, systems, and strategic thinking. Findings illustrate the correlated, multidimensional nature of ways of thinking. Results from the qualitative and quantitative phases were also analyzed together to make recommendations for policy, teaching, research, and future collaborations. The current research suggested that ways of thinking, while perceived as a concept in theory, can and should be used in practice. Futures, values, systems, and strategic thinking, when used in conjunction could be an important tool for researchers to frame decisions regarding engineering education problem/solution constellations.

This thesis is explaining the background, methods, discussions, and future work of developing a low-budget, variable-length, Arduino-based robotics unit for a 5th-7th grade classroom. The main motivation for the Thesis came from self-motivation and a lack of K-12th grade teachers’ teaching robotics. The end goal of the Thesis would be to teach primary school teachers how to teach robotics in the hopes that it would be taught in their classrooms. There have been many similar robotics or Arduino-based curricula that do not fit the preferred requirement for this thesis but do provide some level of guidance for future development. The method of the Thesis came in four main phases: 1) setup, 2) pre-unit phase, 3) unit phase, and 4) post unit phase. The setup focused primarily on making a timeline and researching what had already been done. The pre-unit phase focused primarily on the development of a new lesson plan along with a new robot design. The unit phase was primarily focused around how the teacher was assisted from a distance. Lastly, the post unit phase was when feedback was received from the teacher and the robots were inventoried to determine if, and what, damage occurred. There are many ways in which the lesson plan and robot design can be improved. Those improvements are the basis for a potential follow-up master’s thesis following the provided timeline.

This Honors thesis is analyzing the Jaipur Prosthetic Foot; we are using a foot from Bhagwan Mahaveer Viklang Sahayata Samiti (BMVSS) to test the durability of the foot and where the critical fatigue points are located. Our testing design will be based off of computer simulation to point out the critical points that the test machinery should accentuate. The machine will be set to sample and save data at interval times throughout the accentuated walking cycle in order to record the point where the foot begins to show wear.

Conceptual knowledge and self-efficacy are two research topics that are well-established at universities, however very little has been investigated about these at the community college. A sample of thirty-seven students enrolled in three introductory circuit analysis classes at a large southwestern community college was used to answer questions about conceptual knowledge and self-efficacy of community college engineering students. Measures included a demographic survey and a pre/post three-tiered concept inventory to evaluate student conceptual knowledge of basic DC circuit analysis and self-efficacy for circuit analysis. A group effect was present in the data, so descriptive statistics were used to investigate the relationships among students' personal and academic characteristics and conceptual knowledge of circuit analysis. The a priori attribute approach was used to qualitatively investigate misconceptions students have for circuit analysis. The results suggest that students who take more credit hours score higher on a test of conceptual knowledge of circuit analysis, however additional research is required to confirm this, due to the group effect. No new misconceptions were identified. In addition to these, one group of students received more time to practice using the concepts. Consequently, that group scored higher on the concept inventory, possibly indicating that students who have extra practice time may score higher on a test of conceptual knowledge of circuit analysis. Correlation analysis was used to identify relationships among students' personal and academic characteristics and self-efficacy for circuit analysis, as well as to investigate the relationship between self-efficacy for circuit analysis and conceptual knowledge of circuit analysis. Subject's father's education level was found to be inversely correlated with self-efficacy for circuit analysis, and subject's age was found to be directly correlated with self-efficacy for circuit analysis. Finally, self-efficacy for circuit analysis was found to be positively correlated with conceptual knowledge of circuit analysis.