class size fluctuates between 7 and 45 students, and thecourse is offered every spring semester. The iterations of the course were analyzed under a multi-casestudy to assess the effectiveness of the different approaches used for EDM courses.Data sourcesClass observation. Extensive data collection was made throughout the course. Every class of bothsemesters had at least one well-trained evaluator taking a class on the student interaction and dynamic ofthe class. Each class observation was documented in a memo, capturing general information such as dateand class topic and insights into class dynamics, student participation, and emerging themes recordedbased on CoP concepts. For example, write down instances where students demonstrated
metacognitive reflection submissions to the learning management system,(6) Disseminate findings with a SoTL manuscript, and(7) Complete evaluations.Requirements for the SoTL manuscript were as follows: (1) fill in the manuscript template usingthe headings provided, (2) write a paper that includes a minimum of 4000 words and a minimumof 20 citations, and (3) include the phrase “entrepreneurial mindset” in the title, abstract,introduction, and literature review. Additional details can be found here:https://www.sotlaccelerator.com/ Figure 1. Example Schedule (Spring 2023) ParticipantsThe SoTL Accelerator professional development program was delivered virtually. As such, theparticipants included 30 engineering instructors
active research, and observing how other professionals interacted withone another. By working with other professionals and being treated as a peer, the RS students weregiven an opportunity to envision themselves as young professionals, hopefully motivating them tocontinue and finish their collegiate STEM educations through these contacts [21]. As rising juniors, the students were encouraged to undertake their own self-directed researchprojects under the guidance of the Principal Investigator. This pre-capstone experience wasdesigned to help them to gain marketable problem-solving skills, aiding them in securing anentry-level professional position [22], [23]. Technical writing ability, a highly sought-afterprofessional skill, was emphasized
events.Theme 3: Building Skills for Success – The transition from high school to college can bechallenging for many students. Providing students with effective individualized learningstrategies and boosting their metacognitive skills – an awareness of one’s own thought processes– has been previously identified as critical to enabling success in formal and life-long education[14][15]. These skills for success, including techniques for time management and settingpriorities, active reading, effective study aids, ways to boost motivation and perseverance, andmethods for effective cooperative learning with peers, can positively influence student successand retention within engineering programs [6][7][16]. Learning activities in the course weredesigned to
cope with the stresses of life, realize their abilities, learn and workefficiently, and contribute to their community and to socio-economic development” [25]. Inacademia, students and professors alike struggle with their mental health and well-being. Facultyat all levels must balance many roles and responsibilities such as teaching, mentorship, researchand administrative tasks. Similarly, graduate students must complete course and/or laboratorywork, teaching or research assistantships, secure funding to cover costs of tuition, write andpublish papers, attend meetings, and complete administrative tasks. Notably, graduate studentsexperience rates of depression and anxiety at rates six times higher than the general population[26]. Research
physical or online resources, services in the building, online, or in class, etc.)Text examples from presentation [11]Focus groups encourage conversation between peers so researchers can learn their thoughts andopinions. A potential way to structure those conversations is either open or closed card sorting.Card sorting asks a group a broad question such as “what are the strengths of the library” andindividuals arrange cards using a category tree [6]. Open card sorting is when the focus group ishanded a blank set of index cards or sticky notes and invited to write down whatever they chooseto. In a closed card sorting conversation, the cards are already filled out by the researchers andthe group organizes them. A variation of this is the nine
gesture production in bilinguals, gestural effects on learning, visual attention to hand movements, and the role of expectation in communication. Her work has been published in journals such as the Journal of Experimental Psychology: Learning, Memory and Cognition, as well as in peer-reviewed conference proceedings. Her work is also highly interdisciplinary, crossing the fields of cognitive science, embodied cognition, psycholinguistics and education. She serves as the honorary secretary of the Educational Research Association of Singapore (ERAS) for 2024-2026.Dr. Ibrahim H. Yeter, Nanyang Technological University Ibrahim H. Yeter, Ph.D., is an Assistant Professor at the National Institute of Education (NIE) at Nanyang
health services compared to their peers [4]. These issues wererecently claimed to be understudied [5], but efforts to explore the mental-health-related andattrition-related experiences of engineering graduate students have become more common (e.g.,[6], [7], [8]).Our work investigates the implications of stressors on student well-being and retention. Stresshas been linked to attrition rates for engineering graduate students [8], [9] and stress has beenrelated to mental health challenges in graduate students [10], [11], [12]. Research has suggestedthat a relationship exists between doctoral student mental health and attrition, particularly forstudents exhibiting high anxiety symptoms [11], [13], suggesting that the three phenomena ofstress, mental
what we consider to be higher-level research tasks. (Ten of 12 studentsresponded to the pre survey, while nine responded to the post survey. Seven responded to both.)Initially, students reported they were “somewhat” or “very” comfortable in their ability to dogeneral tasks such as “working independently,” “problem solving in general,” and “managing mytime.” This is contrasted with their lower initial comfort levels in doing more specific—perhapshigher-level—research skills , such as “defending an argument when asked questions,”“identifying limitations of research methods and designs,” “understanding journal articles,” and“writing scientific reports and papers.” Following the REU program, however, the resultsshowed a change. On average, they
recent version of the “Fake Paper”. Theseresults give us some confidence that the case-based approach to teaching and learning aboutreading academic papers has merit.1 IntroductionLearning to read an academic paper is not a formally taught subject, but is an essential skillneeded by senior undergraduates and graduate students as they arrive at the edges of curatedtextbooks and human knowledge, and begin to explore new ideas on the cutting-edge based onresearch and development. For those of us who continue in our respective fields and want tocontribute with our own peer-reviewed academic papers, the skill of reading papers is necessary,but the approaches to teaching students how to read academic papers mainly use ad-hocexperiential learning
and Cold, and Rate vs. Amount. Theweek following the misconception labs, students complete experiments focused onthermocouples and the refrigeration cycle along with completing a thermal analysis tutorial usingANSYS Mechanical. In Week 4, students complete experiments that take the entire lab time(Bomb Calorimeter, Conduction through a Tapered Rod, and Major/Minor Losses) and require amore traditional lab write-up. The following week they do peer review on their write-ups withsubmissions due the following week. This cycle repeats two more times for each of thelaboratory teams (which are different from the HT teams) to complete each of the mainexperiments. The students then complete a Cooking Lab where they cook a roast, apple, andpotato while
– Woods Hole Oceanographic Institution Joint Program.Catherine G. P. Berdanier, Pennsylvania State University Catherine G.P. Berdanier is an Associate Professor of Mechanical Engineering at Pennsylvania State University. She earned her B.S. in Chemistry from The University of South Dakota, her M.S. in Aeronautical and Astronautical Engineering and her PhD in Engineering Education from Purdue University. Her research expertise lies in characterizing graduate-level attrition, persistence, and career trajectories; engineering writing and communication; and methodological development. ©American Society for Engineering Education, 2024 Exploring Engineering Graduate Students’ Perceptions of
Paper ID #41379Engagement in Practice: Innovating a Project-Based, Community EngagedCourse for Engineering Students that Fosters Ethical ThinkingProf. Tucker Krone, Washington University in St. Louis Tucker Krone joined the faculty in the McKelvey School of Engineering at Washington University in St. Louis in 2017. He teaches statistics, ethics, publication writing, communication, and community engaged courses. Tucker emphasizes engineering and statistics as forces for equity and social justice. Tucker Krone’s current passion focuses on integrating community engagement, social justice, equity, diversity and inclusion into
, Credible, Emotion, Structure) and the OCAR structure (Opening, Challenge, Action, Resolution) form Writing Science. ● Draft your story: The majority of the workshop was used as time for the undergraduates to create drafts of their stories. They were reminded to think about their audience -- who do you want to tell your story to? And reminded that they could choose to tell a story about their experience working on the institutional change project, another story about their undergraduate experience, or a story about experiences that led them to choose to study a STEM field for their major. ● Peer feedback: Students read their stories aloud, and gave each other feedback (in some cases, they asked each other questions
delivered in an asynchronous format (video recordings).At the end of each unit, student teams submitted deliverables using templates modeled aftercompany forms: Product Initiation Request form, Design Inputs table, Design Details form, andFailure Mode and Effects Analysis (FMEA) table. The deliverables, mapped to the learning goals(Appendix A), included writing a need statement based on the VoC; examining regulatory, ethics,and impacts of engineered solutions; creating design inputs; summarizing design details andrecreating a CAD model of an existing product; and identifying potential failure modes of anexisting product. Additional assessments tied to learning goals included maintaining a designhistory file (DHF), team norms, peer evaluations
develop a community withpeers in the same field.Two faculty members, who are active STEM education researchers, have instituted a newseminar series specifically for these students that is designed to realign the course withengineering education topics, continuously improve the Ph.D. curriculum, and assist students ontheir Ph.D. paths. The group of faculty and students began meeting every other week to discusstopics specifically related to STEM education and the needs of graduate school in lieu ofattending the general engineering seminars. This new seminar series covers multiple topicsapplicable to students in STEM education, including developing a plan of study, writing andpresenting a proposal for a dissertation, and on-campus graduate
the useof effective learning strategies [23]. Therefore, identifying appropriate strategies in the classroomto alleviate anxiety and enhance mathematical achievement is crucial [25]. Classroom-Level Factors Influencing Course Performance In addition to psychosocial factors, classroom-level factors also significantly impactstudents' performance in calculus courses.Active Engagement Practices A growing body of scholarship has advocated for the adoption of active learningstrategies in higher education, especially within STEM disciplines. Active learning refers to aneducational approach where students actively participate in activities such as reading, writing,discussions, or problem-solving that promote analysis
research. The students in the proposed undergraduate research programwere recruited from student organizations and success programs at the University of Texas atAustin that predominately target first-generation and/or socioeconomically disadvantagedstudents. The program bookends the research experience with a lecture series at the start and aresearch conference at the end. The lectures are an instructional component designed to providestudents with the skills to write a research question, create effective search strings, andcommunicate technical subject matter. The lecture series springboards students into a researchexperience where they are matched with a graduate student or faculty member that will mentorthem on their research. Thus, this work
transcripts using a dual approach that incorporates bothChatGPT and traditional human analysis techniques.Data AnalysisThe research team created the ARM Development Guidelines to streamline the quick ARMmethod-based analysis as follows: Write a short (~1-2 pages) Analytic Research Memo (ARM) about any noteworthy codes that emerged from your coding. Potential things to keep in mind as you write your ARM include: • Who is this interviewee? How do they self-identify (both with regards to their engineering identities and their non-engineering identities)? • How do they explain or justify their identities? • How do they perceive engineering? Does this perception relate to how they see themselves as engineers (or not see themselves as
community colleges holds great potential in contributingto the desired diversification of the engineering workforce[1]. However, transfer studentscommonly experience a “transfer shock” when transitioning from community colleges to four-year bachelor-degree awarding institutions. They need to learn to navigate a new environment[2] and often struggle to gain access to departments, people and guidance to help them with thistransition [3,4]. Due to the fact that they are also joining already existing social networks, theyoften also experience a lack of personal relationships with faculty and a lack of social integrationinto their peer group [3,4]. All these extra challenges can affect their academic achievement,retention, and degree attainment
defined skill from 2021 (“Use vectors to evaluate the positions of links in amechanism.”) was split into multiple, specific skills for the 2022 course: • R3: Write vector loop equations for a mechanism of four or more links • R4: Calculate the position of points on a mechanism with four or more links • R5: Perform position analysis on a crank slider • R8-C: Perform analytical position analysis on a four-bar linkage using MATLABPractically, applying this best practice improved the consistency of test questions for the mastery-skills.As a result, students demonstrated higher pass rates for the mastery skills and reported higher levels ofcompetence on post course surveys (see Section 3).Best Practice 2: Lecture materials should
improving problem-solving skills, critical thinking, monitoring one’s own progress, or goal-setting [1], [3]. Forexample, an instructor might provide a worksheet where the student writes weekly goals to helpdevelop their goal-setting skills. The student may learn how to effectively set goals which couldhelp in many areas of learning. Domain-specific scaffolding is instructional guidance that isspecific to one domain [1], [3]. It aims to make understanding complex concepts in that domainmore attainable. For example, in a computer science environment, it could look like “fill-in-the-blank” code or black-boxing code. There are many techniques within scaffolding, and below wewill detail those relevant to our course.On an individual level, scaffolding
averse to entering college, and once they do enter do not persistbeyond two years and many more do not persist to completion. A major cause for the lack ofpersistence for low-income students has been attributed to their feelings of alienation or isolationwithin the college experience (AAAS, 2021). Low-income students are often high achievers inhigh school, and yet when they enter college, they may suffer from anxiety stemming from theirbeliefs that their academic performance is perceived by others as inferior and that they will oneday be exposed as impostors or frauds not on an academic par with their peers (Sakulku &Alexander, 2011). Negative self-perceptions act as a confirmation bias that feeds into theirnegative stereotypes (Seymour &
ofAgriculture and Life Sciences (CALS).Returning TAs at UW-Madison attend a required training called ReTA, a much shorter programheld virtually for 1.5 hours to focus on lessons learned from prior experience. This focusempowers TAs to give each other advice rather than relying on facilitators as experts. NEO andReTA both have virtual courses through the University Learning Management System, Canvas,with quizzes, readings, and reflections that participants are expected to complete independentlybefore their synchronous sessions meet. They also maintain access to the resources after thetraining is completed for reference throughout the semester as needed.Both institutions have made peer feedback of presentations a priority, a useful skill for
advantage. Thishypothesis was tested in two ways. First, to test whether later-testing students did better thantheir peers, the correlation between exam scores and the order in which the students took theexam (hereafter, exam order) was determined. The exam order was recorded for 9 out of the 15years in this study. A typical profile is shown in Figure 6 for 2016. In all nine years, the 95%confidence interval (CI) for the slope of score versus exam order included zero.Second, a measure was calculated to see if students performed better on the oral exam thanexpected. This measure was Δ(rank) = rank in the course – rank on the oral exam. (The rank inthe course includes the oral exam.) The Δ(rank) values are plotted versus exam order in Figure 5for
writing and communication; and methodological development.Dr. Julio Urbina, Pennsylvania State University JULIO V. URBINA, Ph.D. is a Professor in the School of Electrical Engineering and Computer Science at The Pennsylvania State University. Dr. Julio Urbina received his BSEE degree from Universidad Nacional de Ingenieria, Lima, Peru, in 1990, and his M.S. and Ph.D. degrees in electrical engineering from the University of Illinois at Urbana–Champaign in 1996 and 2002, respectively. He has worked at Jicamarca Radio Observatory, Arecibo Observatory, and University of Arkansas. Dr. Urbina’s research has used radio and radar technologies to study the Earth’s middle and upper atmosphere. He conducts research in RF and
experiences at multiple stages of the major withdifferent support and preparation for a CS major (SES and first-generation status), or the studentswho are at risk of dropping out or who have already dropped out as they may reveal reasons andcircumstances for attrition.Literature ReviewOur team investigated the lived experiences of students on their trajectory to and throughComputer Science. According to Tinto’s “Model of Institutional Departure” [10], the best way tohave student persistence and retention in Computer Science is to integrate positive formal andinformal academic systems (such as academic performance and staff interactions) as well asformal and informal social systems (such as extracurricular activities and peer-group interaction).We
), and he currently serves as a member of the ASEE Data Collections Advisory Board, as well as a Peer Reviewer for the Higher Learning Commission (HLC) and for the OAAAQA Register of External Reviewers . Timothy has a PhD from Indiana State University in Technology Management with specialization in Quality Systems. ©American Society for Engineering Education, 2024 A Flipped Classroom setting trial in GIS course.1 IntroductionFlipped classes have gained increasing popularity in undergraduate civil engineering courses [1, 2] This teaching approach allowsstudents to actively participate in the learning activities while the instructors serve as facilitator assisting and
innovative strategies educatorsemploy to foster inclusive, effective, and culturally enriching learning experiences. The studyreviews issues related to language proficiency, academic writing, cultural differences, differenteducation backgrounds, unique learning habits, course delivery, teaching methodology, academicdiscipline, acculturation, pedagogical adaptations, and support services, shedding light on theevolving role of American universities in shaping the global education landscape. Addressing thesechallenges and leveraging the diverse perspectives international students bring to the classroomcan enrich the educational experience for all students and prepare them for a globallyinterconnected world.IntroductionAs the globalization of higher
, andproject development of the participants. This paper will also focus on the continued use of remote internshipsand experiential opportunities as a High Impact Practice to engage students at an urban commuter universityacross all majors.BackgroundHigh Impact Practices (HIPs) have been shown to be effective in retention, persistence, and overall studentsuccess [1-5]. These practices include activities such as undergraduate research, service learning, experientiallearning opportunities, internships, study abroad, collaborative projects and writing intensive courses. Theseactivities have been found to be very beneficial for underrepresented students. Institutional resources,curriculums and student body demographics limit the effectiveness of the