emails. In this section, several hundred emails have been sent to date by theinstructor. We aim to develop the course through these interactions with the students’ Advisors,and we present results of a comparison of the results in “Intervention groups” (Spring 2022, Fall2022, Spring 2023, and Fall 2023) with the results in “Control groups” (Spring 2021 and Fall 2021sections that did not receive the emails). Preliminary results in Spring 2024 semester show thatclass attendance remains high; 100% of the students took Exam 1; approximately 10-20 studentsattend weekly Friday recitation sessions, and approximately 5-20 students attend weeklyMATLAB recitation sessions. A major finding of this study is that the interactions have helpedimprove student
design of PB-Lab engages students with active learning and authentic learning; theysee how what they are learning in materials sciences can be applied as working engineers.Students experience the interdependent and integrated nature of the materials developmentprocess in the lab and generate their own concepts about addressing global challenges. Insummary, PB-Lab engages students in identifying problems, developing potential solutionsthrough materials characterization and analysis in the lab, and delivering effectivecommunication in the form of lab reports or presentations. 1. Introduction Materials science (MER 213/lab) at Union College is a sophomore-level course integralto understanding the properties and applications of
surveys were administered throughout the quarter. Each time,students were asked to evaluate their comfort with their electronics skills and knowledge, as wellas how much understanding of electrical engineering they are gaining from the course.Additionally, the results of university-administered surveys that rank various aspects of the coursewere also included in the assessment. Overall, the findings support the fulfillment of the statedgoals of creating makers out of students and showing the breadth of electrical engineering.1 IntroductionWe find ourselves in a very interesting point in history, where electronics and electricalengineering are ubiquitous to a fault. Every modern device, with exceedingly few exceptions,contains at least one, if
the kit contents is shown in Figure 1. We selected the DMM AstroAI DM130B which we purchased in bulk on Amazon for $19. All students were required topurchase this kit for $120. To defray these costs, we used an open-source textbook at no cost tothe students. Figure 1. Example of the take-home kit, taken from the video.In addition, all ECEE undergraduate students are given a Digilent Analog Discovery 3 scope tokeep and use in other courses. Non-ECEE students enrolled in ECEN 2250 were allowed to rentan AD3 scope for the semester for $25.A series of 10 labs with two experiments each were created that demonstrated the principlesintroduced in the lecture. A 15-to-30-minute video was created for each lab part that showed
evolving educational contexts. It also advocates for a deeperexploration of how faculty experience influences these perceptions, ultimately promoting adynamic approach to teaching within the educational environment. Lastly, this study lays thegroundwork for future research investigating the intersection between faculty adaptability andthe ever-changing needs of students over time.Introduction and Literature ReviewThe perceptions that faculty have about their students can impact how they approach theirteaching [1]. Faculty beliefs are known to guide their instructional decisions [2] and influencetheir classroom practices [3]. However, while some faculty’s classroom practices are consistentwith their beliefs about teaching and learning, other
able to effectively engage a broader audience.1. IntroductionThe number of jobs in software development is projected to increase substantially over the nextdecade [1]; this increased demand will require many new workers to learn how to developsoftware. Traditionally, many universities and colleges have provided computer science degreeprograms that will prepare future workers. However, more scalable approaches like MassiveOpen Online Courses (MOOCs) could be an alternative – a more scalable approach to preparingthe next generation of software developers that might reach a broader audience [2]. Thesecourses can help to address rising demand for computer programming education and expandaccess to educational opportunities [3]. Unfortunately, MOOCs
forest models; entropy;computer adaptive testing; artificial intelligenceIntroduction Effective and impactful education is reliant on accurate and equitable assessment oflearning and proficiency. Large-scale and local assessments are used for determining admissioninto programs, for course placement, for determining which students have mastered courselearning outcomes, for reinforcing learning and providing feedback, for informing pedagogy andinterventions, and for developing self-regulated learning skills [1], [2], [3], [4]. Cognitive fatigue (CF) is a well-documented phenomenon characterized by diminishedperformance throughout the day, over the course of prolonged cognitive tasks, and even within thefirst few questions on single
underscore the importance ofconsidering personal factors in peer assessment design for team-based learning outcomes andfuture research in educational interventions.IntroductionThe development of effective collaboration within a team is acknowledged as an essential skillfor college students, with proven benefits for their learning [1], [2]. Recognizing its significance,various academic disciplines have integrated teamwork into their curricula, necessitating theassessment of its effectiveness [3]. Peer assessment, a crucial assessment method commonlyemployed in team-based learning courses, provides valuable feedback and enhances studentlearning outcomes [4]. As a specific method of peer assessment, peer rating entails teammembers assigning ratings
summarytable below (Table 1).Table 1: Summary of the mean and standard deviation for each course sequence (Traditional andPilot), data collection time point (start of Fall 2022, end of Spring 2023), and measure (Identity -Recognition, Identity - Interest, Identity - Performance/Competence, and Belongingness) Recognition Interest Perf./Comp. Belongingness Sequence Stage N St. St. St. St. Mean Mean Mean Mean Dev. Dev. Dev. Dev. Traditional F 22 214 3.977 0.769 4.481 0.619 3.955 0.652
Society for Engineering Education, 2024Investigating the Impact of Team Composition, Self-Efficacy, and Test Anxiety on Student Performance and Perception of Collaborative Learning: A Hierarchical Linear Modeling ApproachIntroductionA notable transition in higher education towards the adoption of active and collaborative learningapproaches has been in progress for many decades [1][2]. The shift has been motivated byincreasing evidence that these teaching methods can improve student engagement, motivation,and achievement in specific courses [3][4]. These approaches are very different from traditionallecture-based teaching methods, which mainly promote passive learning, where students areexpected to passively absorb
particularly low failure rates.Introduction and MotivationThe terms “CS1” and “CS2” are loosely used to refer to students’ first and second courses inintroductory computer science and programming, though there is wide variation amonginstitutions and instructors in the precise meaning of these terms [1]. These courses are the topicof a significant body of literature, including research into teaching practices, assessmentmethodologies, student populations and experiences, and design choices such as modes ofinstruction, student engagement, or the programming language used [2, 3, 4].Motivation to Investigate Pathways to CS2The University of Michigan – Ann Arbor provides several pathways into CS2 (EECS 280),including three in-house CS1 courses (ENGR 101
learning processes underlying program synthesis, both for automated program synthesis by machines as well as manual program synthesis by human computer science students. ©American Society for Engineering Education, 2024 Keylogging in a Web-Based Code Editor for Fine-Grained Analysis and Early Prediction of Student PerformanceIntroductionComputer programming often presents a steep learning curve for novice students. One approachto improve learning outcomes is quantitative modeling of the student reasoning process [1].Accurate models can detect when students struggle and predict whether they will succeed [2].These predictions can prompt instructor intervention, or guide automated tutoring
“lessons learned” from two versions of this alternativegrading scheme are presented here as “best practices” which we hope will be useful for otherfaculty wishing to implement standards-based grading on a large scale.IntroductionAlternative grading schemes encompass a large variety of course assessment rubrics and a largevariety of implementations of the different styles. Some examples include Mastery BasedGrading, Standards Based Grading, Specifications Grading, and Ungrading, among others [1, 2].Motivations for implementing a course assessment scheme different from a traditionalpoint-based rubric include encouraging a growth mindset in students, reducing testing anxietywhich may occur due to high-stakes exams, and requiring students to solve
an O'odham thesaurus and classification systems currentlyunder investigation and development at Arizona State University. kiva, n. A chamber, built wholly or partly underground, used by the Pueblo men for religious rites, etc.; estufa, n. Also attributive and transferred. [1]IntroductionEngineers always want to know how something works. If that means taking it apart to reverseengineer it, they are quite happy to do that. They are also always looking to make improvementsand have a whole list of “what if…?” for every one of them. This is especially true when theyencounter an unknown structure from another civilization or lost arts of Western Europeancolonial cultures. With little documentation available, they need to explore
educational and research relationship that wasinitiated in 2017. This partnership had previously seen success through implementation of a3+1+1 dual degree program, permitting Chinese students to acquire an undergraduate degree inChina and a subsequent M.S. degree in the United States. Furthermore, a joint researchsymposium had paved the way for the establishment of a collaborative research center,complemented by several instances of faculty members teaching summer courses in China.In the spring of 2020, in furtherance of their enduring partnership, both institutions jointlysubmitted a proposal to the Chinese Ministry of Education, seeking to institute a Chinese-Foreign Cooperation in Running Schools (CCE) graduate program. This proposal
Management Science and Engineering from Stanford University, and her Ph.D. in Management from UC Irvine. ©American Society for Engineering Education, 2024 Iterative Learning: Using AI-bots in Negotiation TrainingNegotiation skills are essential in management education and in engineering practice. Traditionalteaching methods, centered around role-playing activities. have often struggled to fully engagestudents or provide the personalized feedback necessary for mastering such a complex skill set.To addressing this pedagogical gap, I developed AdVentures with chatGPT [1] by leveragingartificial intelligence to create a dynamic, interactive learning experience that adapts to eachstudent's needs and performance
to visualize 2x2 and 3x3 matrices by Christian Otto Mohr in thelate 1800’s, Mohr’s circle has since become a foundational, visual tool for mechanics studentsworking to understand the stresses at play at derived points in materials [1]. Undergraduateengineering students are commonly introduced to Mohr’s circle in their Mechanics of Materialsclass as an analytical tool included in the lessons on stress transformations. The basic idea behindMohr’s circle is that normal and shear stresses on a plane within a material depend on theorientation of that plane [2]. Through graphical representation, Mohr’s circle simplifies theprocess of reorienting a given planar section of material to obtain the normal and shear stresses atthe new orientation. It
master’s students at a large public university about their educationalexperiences and understanding of engineers’ professional responsibilities, including those relatedspecifically to AI technologies. This paper asks, (1) do engineering master’s students seepotential dangers of AI related to how the technologies are developed, used, or possiblymisused? (2) Do they feel equipped to handle the challenges of these technologies and respondethically when faced with difficult situations? (3) Do they hold their engineering educatorsaccountable for training them in ethical concerns around AI?We find that although some engineering master’s students see exciting possibilities of AI, mostare deeply concerned about the ethical and public welfare issues that
faculty through a group coaching model.IntroductionThis paper reports on the development and use of a group coaching model for engineeringeducators, one of the outcomes of the AMPLIFY project, a funded multi-year, cross-institutionalaction research project. This project was established to explore and enhance the perspectives andexperiences of Engineering Instructional Faculty (EIF) at Hispanic Serving Institutions (HSIs).EIF are a rapidly growing faculty population at HSIs [1], [2], who are characterized as facultywho hold full-time, fixed-term positions, with their main duty being teaching [3]. They areleading educational change and innovation to enhance student learning outcomes, particularly forunderrepresented groups in STEM [4]. The project
Network Analysis (SNA) to answer their Research Questions (RQs) in currentor future studies, particularly for studies of large-scale networks. Over the last several decades,engineering educators have increasingly recognized the role interpersonal interactions play inshaping engineering student outcomes. These interactions span various modes, including online,face-to-face (f2f), student-to-student, student-to-instructor, and instructor-to-instructorinteractions [1], [2], [3]. Concurrent with this growth, the development of engineering educationas a discipline included an increasing number of engineering education researchers adoptingsociological research methods [4], [5]. Among these sociological research methods, SNA appliesnetwork theoretic
underrepresented students of all ages, STEM mentors, and their motivations and/or persistence. The first part of her career was spent designing residential split system HVAC equipment and Indoor Air Quality (IAQ) unitsfor Trane in Tyler, TX. Kristin has taught about design, engineering, and manufacturing to students of all ages in various places including to preschoolers via Schaefer Engineering’s STEM outreach, to senior mechanical engineering undergraduates at TAMU, to eighth graders in KatyISD at Beckendorff Junior High, and to freshmen mixed major undergraduates at UH and at TAMU. Kristin is also the mom of one smart teenage boy whose journey through learning differences and Type 1 Diabetes (T1D) has enabled her to connect
Ph.D. in engineering education at Purdue University. She is particularly interested in equitable and inclusive teaching methods and graduate level engineering education.Eva Fuentes-Lopez, University of California, San Diego ©American Society for Engineering Education, 2024Illuminating the Pathways of Latine and Hispanic PhDs 1 Illuminating the Pathways of Latine and Hispanic PhDs into Engineering Teaching- Focused Faculty Positions Authors: Joseph Leon Henry 11, Eva Fuentes-Lopez 22, Natascha Trellinger Buswell3, Stanley Lo4
the virtual labs for the course PHYS 303 offered atOld Dominion University (ODU), the proposed development techniques can be readily extendedto other courses that utilize these common instruments, including courses offered by universitiesand high schools. A preliminary user study conducted with the first lab module in the coursePHYS 303 demonstrated the effectiveness of the virtual lab.1. IntroductionIn the evolving landscape of educational technology, virtual labs have emerged as an importanttool, offering an alternative to traditional laboratory experiences. With technology's continualadvancement and integration in educational settings, virtual labs are increasingly gainingprominence. This trend is particularly evident in the fields of
Science and Management is the largest major, have beenrequired to complete an industrial internship in the Sophomore year. While the internship coursecan be taken during a long semester, most students enroll during the summer. Prior to 2015, thedepartment’s internship requirement was in the senior year, but was moved earlier in thecurriculum upon the request of the department’s industrial advisory boards and based uponliterature supporting this timing [1]. Part of the reasoning behind the change was to engagestudents in the profession at an earlier age, which was expected to help improve retention rates.One measure of student engagement is sense of belonging, which is also tied to student retention[2].BackgroundAccording to the 2022 Associated
a wider array of learning tools withoutimposing supplementary financial burdens or prerequisites. 1. IntroductionUse for digital twins has increased greatly in the last decade. Starting with the pandemic, a needfor digital learning accelerated the research and use of this technology. The physical system wastraditionally a singular physical object or machine. Now the systems have increased in complexityand with the use of modern technology can model intricate systems including social structures,economical systems, biological beings, or engineering physical systems. [2] This was the first seenused in NASA’s Apollo program and was quickly adopted by the industrial and manufacturingindustry to model manufacturing processes and product
. Dr. Robinson has over twenty years of K – 12 teaching experience, including seven years as a teacher leader of professional development in the Next Generation Science Standards, the Common Core State Standards in Mathematics, and in elementary science and engineering pedagogy.Erin Lacina ©American Society for Engineering Education, 2024 Impact of Professional Development in Culturally Relevant Engineering Design for Elementary and Middle School Teachers (RTP, Diversity)AbstractEffectively teaching engineering within a culturally relevant framework [1] has the potential todramatically increase student engagement, outcomes, and representation within STEM
traditional University campuses. As the big University campuses are trying toexpand their reach, the satellite campuses are becoming popular in terms of increased access tohigher education, enhanced community engagement and reduced costs. The students fromunderserved areas can now attain higher levels of education and improved job prospects withincreased economic mobility, via satellite campuses. Hassani and Wilkins [1] suggested theperceived quality of teaching, organizational identification, and institution reputation weresignificant predictors of student’s satisfaction leading to direct and mediating influences on theirstaying in the higher education program. The small-scale campuses allow the educationalinstitutions to foster a strong
,behavioral intention to use, perceived usefulness, and perceived ease of use. GPA andvoluntariness had significant relationships with actual use and perceived usefulness. Housing hadno effect on any of the TAM factors. This study provides valuable insights into how students'unique backgrounds shape their educational journeys, insights which program managers and neweducators can utilize to inform the design of new programs.Introduction. In early March 2020, the World Health Organization declared an outbreak of a novelcoronavirus a global pandemic [1]. As COVID-19 guidelines were rapidly put in place, requiringsocial distancing and closure of many public places, including most schools and universities,who had to quickly pivot to distance
PerceptionsIntroductionIn today's rapidly changing educational landscape, it's essential to cultivate an early interest inSTEM (Science, Technology, Engineering, and Mathematics) fields to shape the futureworkforce and enhance global competitiveness. Students often choose their educational andcareer paths based on their experiences and knowledge [1]. However, American secondarystudents' lower math and science scores compared to other industrialized nations are concerning,as it could impact the US job market's ability to remain at the forefront of innovation [3].Furthermore, students from Rural Independent School Districts (R-ISD) often face limitedresources and limited access to specialized academic programs or exposure to high-techindustries. To address this
Mechanical Engineering from Imperial College London in 2010. Alex’s research focuses on the transfer of learning between various courses and contexts and the professional formation of engineers. ©American Society for Engineering Education, 2024Implementation of a stand-alone, industry-centered technical communications course in a mechanical engineering undergraduate program Jenni M. Buckley PhD1,2, Amy Trauth PhD1,3, Alex De Rosa PhD1, David Burris PhD1 1 University of Delaware, College of Engineering 2 University of Delaware, College of Education and Human Development 3