are motivated, persist through their programs, and learnengineering material [1]- [3] which has led to calls for supporting students’ engineering identitiesalongside traditionally taught competences [4]-[8]. The degree to which students feel recognizedor seen as the “kind of person” who can do engineering has been delineated as the mostimportant element in the development of an engineering identity [9], [10]. An understanding ofrecognition is critical for designing high-impact curricular practices that support identitydevelopment and in guiding program culture that includes students in the community ofengineering. Researchers have explored if students believe others see them as engineers andemphasized the importance of these beliefs [11], [12
. Students develop an ability to function on multidisciplinary teams; 2. Students develop an ability to identify, formulate, and solve engineering problems; 3. Students develop an ability to communicate effectively; 4. Students develop a recognition of the need for, and an ability to engage in life-long Page 24.854.4 learning.These learning outcomes are identical to ABET1 student outcomes: ‘d’, ‘e’, ‘g’ and ‘i’respectively.All three projects required for this course are completed in teams of three students per group.Each group is required to provide written status reports and final project reports for two of thethree
path, and is a place to share more insights about youth centric engagement. 5. For Students sends users to WEMADEIT.ca.5.4. Millennial girls and social mediaIt’s often assumed that reaching out to teens via social media is the answer to engagement; afterall, they spend a lot of time online. However, we quickly discovered through recruitment thatteens use social media in a unique way. The YTT informed us that it drives them crazy whenadults post articles and information to their Facebook profiles and other social media. For teens,social media is social. While girls do passively “lurk” on the platforms and sites used by theiradult influencers, their main activity is strictly reserved for communication with their friends; foridentity
applications. To evaluate the impact of the redesigned CS 101 course, a CS1assessment was developed to measure students’ understanding of programming fundamentals,pseudocode interpretation, and Python-specific skills. Future work will focus on incorporatinggroup activities into lab sessions, expanding mini-project offerings, and refining the assessmenttools to further align with the needs of engineering students.1 IntroductionIntroductory computer science (CS) courses, commonly known as CS1 [1], serve a critical role inequipping students with important computational skills, including error handling strategies [2, 3],code-writing proficiency and syntactic accuracy [4, 5], and the development of viable mentalmodels for problem-solving [6, 7, 8]. While
meta-objectives and concerned about determining how welltheir learning objectives are being achieved. The significance of this work lies in the ability toestablish a benchmark position for entering students and to quantitatively assess the declarativeknowledge being gained by students through the IPRO experience. Having such assessment toolswill also allow us, and other educators and researchers, to assess which specific training tools orexperiences have a positive impact on the declarative knowledge gained regarding the LearningObjectives.References1. ABET (1999). Criteria for Accrediting Engineering programs. The Engineering Accreditation Board for Engineering and Technology.2. Aragaki, Koren. (2005). Effectiveness of Assessment
as PI on 7 grants from NSF. He has been in the classroom, teaching more than 20 credits per year to engineering students for more than 25 years. His specific areas of expertise are in active learning, faculty development, and learning community development. He has been awarded the 2012 Progress Minnesota award, 2012 Labovitz Entrepreneurialism award, and 2012 Innovator of the Year award from the Rural Community College Alliance all for his work in developing the Iron Range Engineering program. His degrees are in civil engineering (B.S., University of North Dakota), and mechanical engineering (M.S., University of Central Florida). He is licensed as a professional engineer in the state of Minnesota
paper reports on a study conducted in a civil engineering department that is undergoing bothcurricular and cultural changes as part of an NSF-funded project. The focus of this paper is on students’sense of belonging within their engineering major and at their university, and how those perceptions differbased on student demographics and year in the program.Survey data was collected to assess students’ motivation, attitudes and beliefs about their courses,department, and university. The survey included eight constructs: sense of community, time-orientedmotivation, goal orientation, career outcome expectations, grit, identity, agency beliefs and personalitytraits. Subscales for students’ sense of community (which is the focus of this paper) were
advisors in engineering structure design teams Case Study [10] Impact of position of leader Communication in communication network and leadership on creativity Case Study and [29] Leadership style on complex Leadership Style Simulation functioning Case Study [37] Emergence of cultural Boundary boundary spanners Spanners Case Study [38] Impact of team
doing and why it so you need to give guidelines on how to interact if benefits them. Develop facilitation skills. you know if they're not used to it. And so I do give Good problems help with classroom them guidelines and remind them about that.” management. ~Professor MakinsonManage Instructors should provide encouragement “Yeah, so I have to do a lot of building up, tostudent to positively impact student confidence in encourage them to actually engage and to try to doemotions solving problems and level of comfort with something and to work and to listen to one another an active learning
as 8/10/12 semester graduation, wasexpectancy value. This factor is based on the work of Wigfield and Eccles18 and represents theinfluence of expectancies and values on student achievement. The scale consists of 32 items infive subscales: Expected Use of Academic Resources (5 items), Community Involvement (4items), Employment Opportunities (8 items), Persistence (as related to academics – 7 items) andSocial Engagement (8 items). In contrast, the most significant factor for domestic students wasthe standardized mathematics test score (SAT_M). Interestingly, SAT_M was the leastsignificant factor for international students. Overall, the top five factors for international studentsincluded: expectancy-value, the average grade in mathematics and
3/8/2011. She also has twenty-five peer-reviewed publications.Caroline VanIngen-Dunn, Science Foundation Arizona Caroline VanIngen-Dunn is Director of Community College STEM Pathways at Science Foundation Ari- zona, providing services for Maximizing the Educational and Economic Impact of STEM. Ms. VanIngen- Dunn is the inspiration behind the programs and resources designed to assist community colleges, partic- ularly rural and Hispanic Serving Institutions (HSIs), through a rigorous process leading to improvements in their capacity building, infrastructure, and proposal development efforts that support students in their STEM education and career pathways pursuits. Prior to Science Foundation Arizona, Ms. VanIngen
groups, thesense of belonging was especially strong for students close to graduation; they frequentlydescribed the unit as “comfortable” and “supportive,” and their engineering peer group as“close” or having a strong “sense of community.” However, there are a number of ways inwhich this overall, aggregated perception is complicated by nuances in the data, which will beexplained in the subsections below.Perceptions of diversityWhen prompted to consider how social identities influence experiences as an engineeringstudent, women and men were quick to note that CBEE was more diverse compared to otherunits in the College of Engineering (COE), citing gender parity based on assumed balancednumbers of female and male students in the unit as evidence
Ipersonally worked on through a rapid-design organization founded in the early days of thepandemic. Community-based environmental monitoring of pollutants can be done with low-costtools and freely accessible data uploaded onto the internet, allowing communities to trackpollutants that might be impacting their health and form a political response.Finally, intentionally participatory hackathons showcase the ability for technology-orientedspaces to be sites of utopia-building as well as critical engagement with unraveling systems ofinequities [53]. During their 2018 event, Make the Breast Pump Not Suck, they created a spacegrounded in equity that was intentionally inclusive by ensuring that there was time to buildrelationships before and after the
involved diverse aspects such as planning and scheduling, purchasing, performingcalculations and analysis, coordinating logistics, and design reviews. They were mentored byfaculty advisors. In addition, several minority students were engaged in undergraduate researchutilizing cutting edge technology, which also provided them financial support. Another surveyconducted shows that, these research/project experiences have brought excitement in theirlearning process, had a tremendous impact on their careers, motivated the minority students tobecome successful engineers, improved their learning outcome and self-confidence, preparedthem to join the national engineering workforce and improve diversity, and even motivatedsome of them to pursue graduate
highlycompetitive and has a higher dropout rate. It is estimated that about one half of the students whobegin studies in an engineering field will not earn a degree in engineering16. The scarcity ofqualified engineering professionals has a profound impact in both social and economic terms17.This factor is particularly salient for first-generation students, as they are even more likely toabandon their pursuit of an engineering degree18. As a way to contribute to the efforts ofengineering retention, our study focuses on psychosocial interventions for first-year collegestudents in engineering. The module employs interventions that have been demonstrated toimprove academic and psychosocial outcomes for first-generation college students in otherdisciplines. The
the study were the followings: 1. How does generative AI impact report writing as evaluated through senior chemical engineering laboratory reports? 2. How do reports that took help from AI compare to authentic student writings in terms of content, depth of knowledge, and overall effectiveness as scientific communication?2. Methods2.1 Data CollectionThis study was conducted in a senior chemical engineering laboratory course, a regular fallsemester offering at the author's institution. The dataset analyzed was from the Fall 2024semester (N = 24). The course consisted of a 75-minute weekly lecture and a 4-hour laboratorycomponent. During the lecture, faculty instructors reviewed upcoming experiments anddiscussed various aspects of
everyday lives of students andcreate barriers to success. Here, we present the story from the perspective of a student in theUnited States with multiple marginalized identities. “Jamie is a Latina student in a first year engineering design class. She is working on a project in a team of four students, and she is the only student of color on the team. When sharing ideas for their design project, Jamie notices her ideas keep getting ignored in this interpersonal interaction. She begins to wonder if her ideas are truly valuable, or if she is not communicating them well. She does not want to cause a problem in case she is just imagining things. But these experiences make her wonder if engineering is even the right
, learning communities, online discussions, instructional design for online learning, and innovative technology for learning. She can be reached at htn126@psu.edu. Page 15.169.1© American Society for Engineering Education, 2010 An Investigation of First Year Students’ Perceptions of Global AwarenessAbstractMost engineering educators recognize the importance of emphasizing the so-called “soft-skills”in the undergraduate curriculum in order for graduates to be competitive in the global workforce.Of increasing interest for many engineering programs is engaging students in
instructors carrying out the hands-on laboratory asstudents observed them along with the equipment. Students also often interacted with each otherand the lab instructor via chat and orally through a virtual conference communication systemsuch as WebEx or Zoom. Some scholars have highlighted the perceptions of students (during theCOVID era) as they engaged in virtual labs highlighting the robustness of the laboratory designand instructor preparation (as evidenced by student course evaluations), along with severalshortcomings of the virtual learning environment [9]. Some shortcomings noted by theseresearchers included: the lack of interaction between the teaching assistant and students andstudent-to-student interactions and teamwork, intense
will not only haveto deal with what the student knows but also if this knowledge is available to be accuratelyapplied during problem solving. Page 11.15.4Symbol System TransformationsA final approach to understanding problem solving in engineering focuses on the symbol systemtranslations inherent in the analysis process. By symbol system, we refer to the semiotic systemused to understand and express elements and their relations. Mathematical expressions are anexample of a semiotic system in which numbers and operators act as elements. How theseelements are configured in relation to one another communicates the full meaning of theexpression
learn new skills in areas they are unfamiliar.2.0 Background The pronounced gender disparities in engineering and engineering technology disciplinesgive rise to a challenging dilemma and one that has yet to be solved. Achieving a critical massof women in these fields could pave the way for greater representation in both educationalinstitutions and industry and alleviate critical upcoming labor shortages. This, in turn, mighthelp mitigate or eliminate obstacles linked to stereotypes, stereotype threat, and a sense ofbelonging. Stereotyping is a perception that certain groups of individuals possess lesser academicability, a notion that can significantly impact their engagement in educational pursuits. Thistendency is particularly pronounced
in the readingmaterial and course content.But how do students actually engage when question answers are available with a click? Dostudents attempt to answer the question before revealing the answer? Or do students skipattempting the question and jump immediately to reveal the answer?This paper aims to quantify the "earnestness" of student behavior in an online, interactive circuitanalysis textbook over a period of one year. We measure student earnestness by looking at thepercentage of students revealing answers prior to making a solution attempt. Thus, earnestnesscan indicate student engagement with the learning material.We investigate how student earnestness correlates with length of time in the course (as definedby progression through
international accreditationmovements of business schools around the world, is of interest to the management of curricula assystematic processes and assessment plans that collectively demonstrate that students achievecompetences of learning for the programs in which they participate. The objective of this work is toanalyze the implementation of the management of learning process at Unisinos University’sPolytechnic School, examining its impact on the curriculum management from the programcoordinators' perspective. This implementation process was designed as a training program forcoordinators of the 19 undergrad programs involved aiming at their development as managers of theprocess as the get involved in the process itself and organized in different
. 3. Delivered a course with strong student/student and student/instructor interaction and feedback. 4. Tailored communication methods to ensure clear and detailed information, reducing student frustration and anxiety, while challenging students to reach their highest potential. 5. Built appropriate, effective learning activities and assessments that measure objectives.I.5. OverviewThe paper focuses on lessons learned, work required, pedological comparisons of teachingapproaches, and changes if any in students’ assessments and reflections. The switch to remotewas not easy. The needed adaptations were: 1. Handwritten notebooks, tests and assessments morphed to Google Notes and thence to Moodle. 2. Whiteboard lectures and a
the internal rate of return (IRR)of their business depends on the assumptions made in other tables. They then adjust theassumptions where it is feasible, or change the design approach to improve IRR. The resultsof the sensitivity analyses usually come as great surprises to the students. In particular, theeffects of receivables and inventory are usually seen to have great impact on profitability.Economics - Engineering Integration: It is after the sensitivity analyses are completed thatthe business economics and engineering design functions become integrated in the minds ofthe students. For the items of greatest sensitivity, the students are asked to indicate what theengineering implication of the particularly sensitivity is. For example, when
beused to understand students’ intentions to enroll in courses and that universities should prioritizetheir efforts to engage potential students.Additional research indicates how the TPB can impact high school students’ potential to major inSTEM-related fields. In a dissertation, utilizing TPB as the theoretical perspective, Walton(2023) found that higher scores on both the mathematics portion of the American College Test(ACT) and students’ STEM benchmark scores were positively and significantly related tostudents’ decision to choose a STEM academic major. Another study also indicated thatvariables related to the TPB can explain high school students’ intentions in pursuing a STEMdegree (Moore and Burrus, 2019). Through exploring high school
participants together for a sharedonboarding experience and community building before they move to their respective institutionsfor the summer research experience. In this paper, we describe our approach to the design of thisshared experience and report early results from our programmatic evaluation.MethodsRationale for DevelopmentIn 2023 we introduced a novel expansion to the center’s summer program, the ERC REU BootCamp. The Boot Camp stemmed from student evaluations of the first two years of REUprogramming offered, which placed students at two different research institutions across thecountry, with opportunities for weekly virtual engagement. While these participants reported thattheir research experiences were highly impactful for their personal
risk for leaving engineering.First-Year Engineering Intents at Notre DameNotre Dame is a highly selective doctoral research university that admits students on the basis ofa number of factors, including standardized test scores, high school class rank, extracurricularactivities and demonstrated leadership potential. While applicants must select only one intendedmajor on the application, that information has little, if any, impact on the decision to admit aparticular applicant. Rather, that information assists Notre Dame in planning course offeringsfor each first-year class and, in a broad sense, in aiming for a reasonable distribution of studentsamong the four academic colleges (Arts & Letters, Business, Engineering and Science) and
secured multiple grants for innovative projects. A senior member of IEEE, he actively contributes to the field through publications and conference presentations. ©American Society for Engineering Education, 2025 Direct Assessment of Student Achievement through D2LAbstractThis paper delves into the implementation of D2L/Brightspace learning outcome toolsspecifically designed for the direct assessment of course outcomes, with a keen focus on ABETStudent Outcomes (SOs) based on our experience preparing for the ABET accreditation visit.ABET accreditation is a mark of excellence in applied science, computing, engineering, andtechnology programs. This accreditation guarantees that graduates are equipped with
interviews, which allowed faculty members todiscuss their views on the challenges students face with threshold concepts. The interviews,lasting approximately 30 minutes each, were audio-recorded with participants’ consent andlater transcribed for analysis. Questions focused on faculty observations of student struggles,the significance of threshold concepts for professional practice, and teaching strategies aimedat facilitating student comprehension.Data AnalysisThematic analysis was applied to the interview transcripts to identify recurring themes andpatterns related to faculty perceptions [7]. This method enabled the research team tosystematically explore faculty insights and categorize key themes such as the impact offoundational knowledge, the