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Description
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.
ContributorsDalal, Medha (Author) / Archambault, Leanna M (Thesis advisor) / Carberry, Adam (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2019
Description
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.
ContributorsLerner, Jonah Benjamin (Author) / Carberry, Adam (Thesis director) / Walters, Molina (Committee member) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
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.
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.
ContributorsLee, Eunsil (Author) / Bekki, Jennifer (Thesis advisor) / Carberry, Adam (Thesis advisor) / Kellam, Nadia (Committee member) / Arizona State University (Publisher)
Created2020
Description
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.
Contributorslerner, jonah (Author) / Carberry, Adam (Thesis advisor) / Walters, Molina (Committee member) / Jordan, Shawn (Committee member) / Arizona State University (Publisher)
Created2020
Description
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.
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.
ContributorsRossi, Nathaniel (Author) / Carberry, Adam (Thesis director) / Adamson, Scott (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05