Education ResearchMr. Michael Cavanaugh, Michigan State University: Center for Engineering Education Research Michael Cavanaugh is a third year graduate student in the Anthropology Department at Michigan State University. He has a B.A. in American Indian Studies from the University of Wisconsin Eau-Claire. He earned an M.A. in American Indian Studies from UCLA. His Ph.D. research at MSU is focused on American Indian experiences in postsecondary education and the retention of Native students in STEM disciplines. He currently works for the Center for Engineering Education Research (CEER) at MSU. Page 24.1268.1
school or classroom. As such, these models assume a set of starting conditionsto the learning experience: a learning need is identified, the learning opportunity is assessed,learning topics are selected, the social environment is set, and individuals are behaviorally andmotivationally positioned within the learning context. These assumptions work well whenconsidering self-regulatory processes within typical courses and curricula, but they do notnecessarily consider some processes that may be required at the onset of more exploratorylearning experiences such as independent study, research, or open-ended design activities. Inthese situations an individual’s intention to learn – including self-actualizing tendencies, positiveself-regard, openness
and pedagogies2011, with the first Computer Engineering graduates implemented in the first-year engineering programs over thefollowing in 2012. Although the Software Engineering past three years include:program was subsequently dropped, the Electrical and • Adoption of Studying Engineering: A Road Map to aIndustrial & Systems Engineering programs received ABET Rewarding Career. Ray Landis’ seminal work [1] wasaccreditation in 2012, followed by Computer Engineering in established as a foundational text in the Introduction to2013. The Mechanical Engineering program was started in Engineering course. In-class discussions and out-of-2014 and is on track to have its
Teaching, 2023 New Faculty Fellow award by IEEE ASEE Frontiers in Education Conference, 2022 Apprentice Faculty Grant award by the ERM Division, ASEE, and 2020 outstanding researcher award by the School of Engineering Education, Purdue University. Dr. Anwar has over 20 years of teaching experience at various national and international universities, including the Texas A and M University - USA, University of Florida - USA, and Forman Christian College University - Pakistan. She also received outstanding teacher awards in 2013 and 2006. Also she received the ”President of Pakistan Merit and Talent Scholarship” for her undergraduate studies. ©American Society for Engineering Education, 2024Work
success.On understanding of the course issues, we sought to find a mechanism to address disparate needsand help all students to be more successful in the course. We believed it essential that we retainacademic rigor in Introduction to Microcontrollers, while supporting students more effectively,maintaining student retention and also simultaneously reducing the time burden, programmingconcerns and additional challenges to students. We therefore reviewed interventions for additionalcourse support including increasing graduate TA appointments, supplementing instructionalmaterials, and reducing quantity of content covered. We chose to pursue the idea of PLAs.The research questions originally driving implementation of our PLA program were: 1. Does the
framework or approach. For example, theInstitute for Scholarship on Engineering Education7–9 and the Rigorous Research in EngineeringEducation workshops10–14 each supported and scaffolded three cohorts of scholars in conductingengineering education research. A similar approach to scaffolding expertise while buildingcommunity has also been used with engineering education graduate students, such as the work atPurdue University described by Adams et al.15The Pioneers project is situated within this prior work in that it seeks to better understand thepast, present, and future of the engineering education communities, while also providingprofessional development through networking new community members with more establishedmembers. To achieve our goal
Engagement Survey? Secondary 1. How did students evaluate these engagement strategies in terms of their level of engagement? 2. What were the self-evaluation of students in terms of staying engaged (affective, cognitive, behavioral) and learning propensity? 3. What challenges primarily hindered their engagement in their learning environment?Theoretical Framework:Engagement research has been around for decades and has been established to be an importantforerunner for learning and achievement [6,11]. For this study, engagement is defined in thecontext of affective (interest, excitement, belonging, motivated, persistent, joy, etc), cognitive(self-directed/regulated learning, reflective, task specific-design solutions, etc), and
institution. At a research institution, however, a standalone program risks the segregation ofthe faculty into less prestigious undergraduate teachers and more prestigious graduate facultywho conduct research. College-wide interdisciplinary programs or institutes on undergraduateeducation provide a locus for education-oriented faculty in different departments. Separatedepartments of engineering education take this one-step further by permitting full unit status anda dedicated faculty for education research and innovation.Despite the differences in these three approaches, each of these arrangements assumes thatmodification of organizational structure is part of the answer to the question of how to reformengineering education. We agree with that
, Employer Satisfaction with Graduate Skills. 2000, ACNielsen Research Services.2. National Survey of Student Engagement 2006 results summary. 2006, IUPUI Information Management and Institutional Research.3. Cooney, E, Alfrey, K and Owens, S. Critical Thinking in Engineering and Technology Education: A Review. in American Society for Engineering Education Annual Conference and Exhibition. 2008, American Society for Engineering Education.4. Cloete, A. Solving problems or problem solving: What are we teaching our students? in ASEE Annual Conference. 2001. Albuquerque, NM, United States: American Society for Engineering Education, Washington, DC 20036, United States.5. Dewey, J., How We Think. 1910, Lexington
Paper ID #30005Board Game Development as a Pedagogical Approach to TeachingUndergraduate Students in an Interdisciplinary Course that AddressesContemporary Societal IssuesMichael N. Littrell, Tennessee Technological University Michael Littrell is a graduate research and teaching assistant at Tennessee Tech University. He is pursuing a PhD in Exceptional Learning with an Emphasis in Program Planning and Evaluation. He is interested in quantitative research methodology in education, student assessment, and applied statistics. Michael Littrell has conducted research and evaluation of a wide range of education and non-education
Paper ID #7090Mobile Teaching: Merging Smart Phones, Cloud, and Desktop to AchieveContent-specific Instruction in a Generic EnvironmentDr. Larry Burton, North Carolina A&T University (Tech) Dr. Burton received his BS, MS, and Ph.D. in electrical engineering from Duke University. He has 25 years executive international management experience in technology-based businesses, and holds ten patents in microwave and optical communications, video switching, and broadband infrastructure. His current research is focused on high availability / high reliability enterprise computing.Dr. Robert Cobb Jr., North Carolina A&T State
students additional time and by a well-designed guide and the grading criteria. Further study is needed to determine the impact of theguide and the grading criteria on the students’ exam scores.References[1] C. Boston, "Understanding Scoring Rubrics: A Guide for Teachers.," ed. College Park, MD: Office of Educational Research and Improvement, 2002.[2] A. R. Rezaei and M. Lovorn, "Reliability and validity of rubrics for assessment through writing," Assessing Writing, vol. 15, no. 1, pp. 18-39, 2010/01/01/ 2010.[3] N. P. Gallavan and E. Kottler, "Constructing Rubrics and Assessing Progress Collaboratively with Social Studies Students," The Social Studies, vol. 100, no. 4, pp. 154-159, 2009/07/01 2009.[4] B. P
38. Feedback can be broadlydefined as “information provided by an agent (e.g., teacher, peer, book, parent, self, experience)regarding aspects of one’s performance or understanding” 38. Based on an assessment ofhundreds of meta-analyses from 180,000 studies, Hattie concluded that “the most powerfulsingle moderator that enhances achievement is feedback” 39. While feedback has been shown tostrongly influence student performance and learning, explicit research on the effect of feedbackin engineering education is sparse. Findings from studies of first-year engineering students 40, 41show that feedback is positively related to learning gains. These results are consistent withstudies in other disciplines 42.In general, there is limited agreement
Paper ID #44108Supplemental Instruction: Shaping Future EngineersMr. Zachary Miller, University of South Alabama Zachary Miller is a graduate student pursuing a Master’s degree in Mechanical Engineering at the University of South Alabama (USA). He earned his Bachelor’s degree in Mechanical Engineering in 2023 from the same university. During his undergraduate studies, Zach served as a Supplemental Instructor (SI) for engineering courses at USA. Zach’s experience in SI started his passion for engineering education. Zach’s primary research interests revolve around engineering education and aerospace systems, where his
BackgroundSince the publication of the Green Report in 19961 there has been a strong push withinengineering education practice and research to better prepare engineering graduates for the socio-technical world in which engineers are embedded. Surprisingly, this drive to better alignengineering education with the socio-technical world began many decades earlier with theCarnegie Foundation's 1918 publication of A Study of Engineering Education2. In spite of theeffort in recent years to operationalize the student learning of the necessary competencies (e. g.through ABET outcomes3) there is a disconnect between what students learn in engineering, Page
Faculty Surveyof Student Engagement (FSSE). These engineering versions (E-NSSE and E-FSSE) assess theextent to which engineering students are being engaged by identified “best instructionalpractices” and are achieving certain learning outcomes desired of engineering graduates. Bothinstruments include sections on students’ college activities; reading, writing, and othereducational program characteristics; educational and personal growth; and opinions aboutschool. These surveys were first pilot-tested at six engineering programs across the UnitedStates. These institutions were selected to participate in the pilot administration of the surveybecause of their leadership and interest in the field of engineering education, their geographicdiversity
Paper ID #21816Transforming an Institution by Engineering LearningDr. Sam Spiegel, Colorado School of Mines Dr. Spiegel is the Director of the Trefny Innovative Instruction Center at the Colorado School of Mines. He previously served as Chair of the Disciplinary Literacy in Science Team at the Institute for Learning (IFL) and Associate Director of Outreach and Development for the Swanson School of Engineering’s Engineering Education Research Center at the University of Pittsburgh. Prior to joining the University of Pittsburgh, he was a science educator at Biological Sciences Curriculum Study (BSCS). Dr. Spiegel also
programand reflects on the applicability of the activity in a wide range of engineering courses. Second, itdescribes a qualitative study to answer the research question, to what extent is the YTU activityeffective in terms of student engagement and connection to the course objective? Data wascollected from two groups of students who participated in this creativity course and completedtwo peer teaching activities. Each student taught a 15-minute lesson to a group of peers,submitted a detailed lesson plan, and wrote self- and peer-assessments after class. These lessonsincluded both content sharing (i.e., presentation about the topic) as well as an activity and a finalassessment tool to ensure that their peers had met the student-defined learning
Paper ID #17322Inventing the Precedence Diagram as Preparation for Future LearningMr. Robert Semmens, Stanford University Rob Semmens should soon be a graduate of the doctoral program in Learning Sciences and Technology Design program in Stanford’s School of Education. His current research interests include the development and assessment of training techniques relevant to spatial thinking. Previously Rob worked on projects for the Army Research Institute and the Asymmetric Warfare Group. He developed instructional approaches to improve Army training, and conducted analysis of the contribution of technology to learning. Rob
Paper ID #15298Insights into Systemically Transforming Teaching and LearningDr. Sam Spiegel, Colorado School of Mines Dr. Spiegel is the Director of the Trefny Innovative Instruction Center at the Colorado School of Mines. He previously served as Chair of the Disciplinary Literacy in Science Team at the Institute for Learning (IFL) and Associate Director of Outreach and Development for the Swanson School of Engineering’s Engineering Education Research Center at the University of Pittsburgh. Prior to joining the University of Pittsburgh, he was a science educator at Biological Sciences Curriculum Study (BSCS). Dr
Paper ID #30606Solution Diversity in Engineering Computing Final ProjectsMs. Sara Willner-Giwerc , Tufts University Sara Willner-Giwerc is a Ph.D. candidate in mechanical engineering at Tufts University. She graduated from Tufts University with a B.S. in mechanical engineering and a double minor in engineering education and engineering management in 2018. She is a National Science Foundation Graduate Research Fellow, which supports her research at the Tufts Center for Engineering Education and Outreach (CEEO) on technological tools, learning experiences, and environments for teaching engineering in classrooms pre-k
the team having a shared vision of the problem they are solving. The goal ofthis research is to determine which factors improve the performance of an engineering team.One of the aspects explored is the effectiveness of arranging teams based upon each teammember’s cognitive problem solving style preference using the Adaption-Innovationframework1. This paper presents a complete experiment evaluating concept map data from thedesign stage of engineering, graduate student, teams.IntroductionIn previous research we showed that the Cognitive Collaborative Model (CCM) can improveteam performance in systems design2 and may also be effective in facilitating a shared vision, ormental model of the problem being solved by a team3. Research indicates
education is relatively newand underexplored within the domain of computer science education. This position paper aims topresent a comprehensive account of a pilot study that introduces photovoice to computer sciencestudents, showcasing the method’s merits and contributions.The study investigates the strengths of photovoice in comprehending the perspectives ofunderrepresented groups in computing guided by emancipatory research in which participation iselicited not just from a sample population. Rather, it is used as an analytical perspective becauseparticipants actively engage in co-constructing knowledge with researchers. Over a two-weekperiod, six participants representing minoritized backgrounds based on race, gender, or sexuality,enrolled full
. The goals ofSTOMP are to provide teachers with the opportunity to (1) learn about and develop anappreciation for the professional field of engineering and technology; (2) gain confidence inteaching engineering and technology; and (3) develop conceptual tools for teaching engineeringand technology.The purpose of this paper is to examine teacher self-efficacy, engineering subject matterknowledge and pedagogical content knowledge in teachers enrolled in STOMP. Engineering is abroad content area. Engineering encompasses many different fields and bodies of knowledge.For this study engineering design as presented in the Massachusetts state curriculum frameworkswill be the focus. Engineering design subject matter knowledge, or what a person knows
. Mentzer’s educational efforts in pedagogical content knowledge are guided by a research theme centered in student learning of engineer- ing design thinking on the secondary level. Nathan was a former middle and high school technology educator in Montana prior to pursuing a doctoral degree. He was a National Center for Engineering and Technology Education (NCETE) Fellow at Utah State University while pursuing a Ph.D. in Curriculum and Instruction. After graduation he completed a one year appointment with the Center as a postdoctoral researcher.Dr. Dawn Laux, Purdue Polytechnic Institute Dawn Laux is a Clinical Associate Professor in the Department of Computer and Information Technology (CIT) at Purdue University. She
Professor and Associate Dean of Education at Pepperdine University in Los Angeles. He holds a joint appointment in mathematics. Dr. Hamilton currently carries out research activities under support from the US National Science Foundation and Department of Education, studying means to enhance the creativity and media fluencies of mathematics teachers, intergenerational communication in mathematics between, and the use of artificial agents and language parsers in collaborative educational workspaces. Hamilton works extensively with educational and research partners overseas, particularly in east Africa. He has also led the NSF-funded Distributed Learning and Collaboration symposium series in Shanghai, Singapore and Germany
supports the view of future goals impacting the present [15], which isdescribed as the construct Future on Present (FoP). Overall, these domain-general, domain-specific, and context-specific FTP constructs can be utilized to qualitatively describe andquantitatively determine the future views and motivations of undergraduate students withinengineering.Cluster analysisCA is the “art of finding groups in data” [20] (p. 1) and is the best method for this research dueto its “person-centered” approach, as it allows a “one-to-many” look at dimensions [21] (p. 901).To select a CA method for a study, three questions should be considered [22]: Whichsimilarity/dissimilarity measure (measurement of distance between data points) is appropriate?How should the
specificcontent area, and micro-communities of practice as those reflecting collaboration of smallercohorts of STEM faculty, in-person and virtually.This study addresses the following research questions: 1) How do engineering faculty involvedin a community of practice engage in knowledge transfer? 2) How does knowledge transfer ofspecific evidence-based instructional practices occur in an engineering faculty community ofpractice?Conducted within a large research project aimed at exploring stages of pedagogical change, thiswork utilizes a qualitative methodology. Nine faculty in a first-year engineering departmentparticipated in hour-long semi-structured interviews exploring use of EBIPs and collaboration.Interviews were analyzed using thematic coding to
Professor Center for Engineering Education Research Undergraduate Studies Office College of Engineering Michigan State University Dr. Urban-Lurain is responsible for teaching, research and curriculum development, with emphasis on engineering education and, more broadly, STEM education. His research interests are in theories of cognition, how these theories inform the design of instruction, how we might best design instructional technology within those frameworks, and how the research and development of instructional technologies can inform our theories of cognition. He is also interested in preparing future STEM faculty for teaching, incorporating instructional technology as part of instructional design, and STEM
of learning management systems for large-sample educational research studies, student applications of the design process, curriculum development, and fulfilling the needs of an integrated, multi-disciplinary first-year engineering educational environment through the use of active and collabo- rative learning, problem-based and project-based learning, classroom interaction, and multiple represen- tations of concepts. Page 26.1701.1 c American Society for Engineering Education, 2015 Video-Annotated Peer Review (VAPR): Considerations for Development and