Management’s intranet site, regarding first time incollege (FTIC) student graduation rates; (c) conducting 75 surveys to undergraduate students atFIU, one of the largest MSIs in the U.S., to assess degree completion, students’ motivation tocomplete their degree on time, and the academic resources that could help them achieve thisgoal; and (d) proposing strategies that could be implemented at educational institutions to helpstudents complete their degree within four years.This study utilized a mixed-methods sequential explanatory design to collect and analyze bothquantitative and qualitative data from students. The administered survey included a demographicsection and a total of five questions. The first two questions were intended to identify if
created withcare guided by considerations from multiple disciplines. For example, designing IAUs mayinvolve the input from: • a domain expert for relevance, • a graphic designer for creating digital artifacts and with appropriate orientation and lighting, • a pedagogy expert for the sequence of operations and duration, • a psychology expert for issues related to attention and focus, • an expert camera person to create a professional images and videos, • a sociologist to account for access, diversity, and inclusivity issues, • a learning evaluator to assess effectiveness, • an engineer to create CAD models, and • business process owners to integrate the training into larger processes.Clearly, such a
Researchers and Academic EntrepreneursGalati et al. (2020) proposed several different theoretical approaches for exploring thesensemaking processes of academic researchers engaged in commercialization activity includingself-determination theory and social identity theory. These are based on the identity perspective(Gruber & MacMillan, 2017), which assesses entrepreneurial behavior in a way that is differentfrom “views embedded in economic rationality” (Gilati, p. 1480). The identity perspectiveclaims two things: 1) that individuals behave in ways that they consider appropriate forthemselves in a specific context, and 2) that human beings have a fundamental need for self-definition and for finding their own place in society (Gilati). While these
informed decisions about their academic activities. With the increasingavailability of data, the exploration of student performance prediction has become moresophisticated and has gained momentum in recent years.All the data used in this study was extracted from the Canvas Learning Management System.Learning Management Systems (LMS's) which are widely used by higher-education institutionsare an important source of student-related data. They provide a convenient and important way todeliver learning materials to students. They also are the places where most of the coursediscussions, student-instructor interactions, and assessments take place. Conveniently they keepan extensive record of all such activities and make that data available using
work quite reliably when run from the instructor’s computer withthe students participating using their own computers.With the return to the classroom, the need to offer courses at both sites remained. Also, the needto bring students from both campuses into a single section remained, both to meet universityclass size requirements and to have one instructor teach both sections without requiring teachingoverloads. Experience gained through several terms and with different courses, includingcourses teaching computer software, has resulted in a successful model of operation. This paperwill share experiences to date and will address benefits in the areas of enrollment, retention, andfaculty workload. Assessment and evaluation based on class work
in-person learning overthree academic terms. The courses selected are Introduction to Robotics and Introduction toRobotics Laboratory for EET and Strength of Materials and Strength of Materials Laboratory forCET. A total of 47 students (20 from EET and 27 from CET) academic performances weremeasured in those two courses. The effects of student background variables (race, financialbackground, ease of using, and availability of the internet) and course-related variables (difficultylevel of the course, available course-related resources on Canvas, lab-based vs. lecture-basedcourse) on student success were explored through student surveys. To measure students'performance, the academic grades they received in the courses were used. To assess
Delaware, where he teaches courses in mechanics, structural analysis, and structural design. © American Society for Engineering Education, 2022 Powered by www.slayte.com Promoting Student Learning and Teaching in the Virtual Environment and In- PersonAbstractThe objective of the study is to evaluate formative assessments used to engage and supportstudent learning in both the virtual and in-person learning environment in 2020 and 2021 for anundergraduate structural analysis class. In both the virtual and in-person learning environment,active learning and student engagement opportunities were created via a flipped classroom,which included breakout
(Professor)Benny Mart Hiwatig Benny Mart Hiwatig is a PhD candidate in the STEM Education program at the University of Minnesota. He earned his bachelor's degree in Secondary Education and took master's coursework in Chemistry Education in the Philippines, where he also taught high school chemistry. He is currently involved in a research project that aims to develop an observation protocol for STEM lessons and relevant training materials that are directed at improving the quality of STEM instruction in K-12 spaces. His primary research interests include assessment of student learning in STEM contexts, exploration of how integrated STEM is enacted in the secondary level (especially in chemistry classes), and assessment and
is identified and clarified. After the issue is apparent, theyare asked why a decision is necessary to proceed. Next, they are asked to consider thealternatives of each choice that is available, assess the potential consequences of each alternativeand assess the likelihood and adversity of each consequence. Next, the user is asked whethereach alternative complies with laws, policies, standards of conduct, etc. Then, the users mustconsider the ethical considerations associated with each of the alternatives, and each of theirconsequences. Finally, the students must make a decision and follow up by evaluating theeffectiveness of the decision. Many frameworks do not include a follow-up step after thedecisions have been made and implemented, but
Bielefeldt, Ph.D., P.E., is a professor at the University of Colorado Boulder (CU) in the Department of Civil, Environmental, and Architectural Engineering (CEAE). She is also the Director for the Engineering Plus program, which is in the process of being renamed to Integrated Design Engineering. Bielefeldt also serves as the co-director for the Engineering Education and AI-Augmented Learning Integrated Research Theme (IRT) at CU. She has been a faculty member at CU since 1996, serving in various roles including Faculty Director of the Sustainable By Design Residential Academic Program (2014-2017), Director of the Environmental Engineering program (2006-2010), and ABET Assessment Coordinator for the CEAE Department (2008-2018
to gatherinformation on STEM experiences and attitudes of National Science Foundation PrincipalInvestigators (NSF PIs) and STEM professionals (e.g., [16], [17]). The survey has beenconducted every few years with new cohorts. As we updated the survey for the newest round ofdata collection, we took the opportunity to ask participants about their experiences during theCOVID-19 pandemic. The research team brainstormed a set of questions to assess the effects ofthe COVID-19 pandemic on STEM professionals, primarily focusing on how it impacted theirresearch and work/home life. Rather than add these items to the next round of the larger survey,we decided to treat this data collection point as a separate survey, soliciting participation
faculty, and Z-scores were used to calculate an overall score. Blinded assessment has been shown to reduceimplicit bias against women and other underrepresented groups [12], [13].Determining the critical skills or attributes for research that would be the basis of the candidateassessment was a multi-step process. First, we completed a literature review to assess whatfactors are associated with success in graduate school (as a proxy for research success). Thisrevealed a very limited range of factors used in graduate school admission and research –typically GPA, standardized test scores, and reference letters. All of these factors can beimpacted by systemic inequity: for example, some students may not feel as comfortableapproaching referees because
, understand, and assess the quality/uncertainty in 3D geospatial datasets. His research develops new methods and techniques to enhance functionality of 3D geospatial data and models. In addition, recent research interests include utilizing 3D data for creating realistic environments in immersive virtual reality, as well as the application of virtual reality in engineering education. ©American Society for Engineering Education, 2023Understanding how students view Surveying Engineering at Penn State University andupdating their self-beliefsThis is an evidence-based practice paper related to Surveying Engineering. SurveyingEngineering, sometimes referred with the modern term “Geomatics”, is an essential field
President RickFedrizzi for related work. * Disney-Inspired Star Wars Pod Racing Theme Park ride with MOOG for thedevelopment of a VR plus 6DoF Motion Platform, cited as being the first successful combination of VRand a 6DoF motion platformsDavid is also dedicated to STEM and particularly engineering education R&D since even his early ca-reer with publications in journals such as the International Journal of Engineering Education—ActiveLearning Special Edition and being the key developer of the broader impacts on grants like the NSFExpeditions in Computing Grant on Computational Sustainability. Stemming from his involvement inthe Obama CS4ALL initiative, David also developed a means of assessing computer science educationalprograms against the
collaborative online platforms), emerging economies development and the role of IT/communications technology, and methodologies for measurement and assessment frameworks American c Society for Engineering Education, 2022 Bringing Social Justice Rhetoric and Deliberation into the Engineering Writing Classroom: the case of Amazon’s “cubicle activists” Elizabeth Fife, Ph.D., Associate Professor of Technical Communication Practice, ViterbiSchool of Engineering, Engineering in Society Program, University of Southern CaliforniaAbstractThe tech industry has seen a growth in employee protest activity against both internal policies forworkers, but also expressions of concern over
/3328778.3366806 [2] E. National Academies of Sciences and Medicine, Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments. Washington, DC: The National Academies Press, 2018. [Online]. Available: https://www.nap.edu/catalog/24926/assessing-and-responding-to-the-growth-of-computer-science- undergraduate-enrollments [3] U.S. Bureau of Labor Statistics. (2020, Apr) Computer and information technology occupations : Occupational outlook handbook. [Online]. Available: https://www.bls.gov/ooh/computer-and-information-technology/home.htm [4] K. Basu, “Some cis courses are so overloaded that students wait more than an hour for homework help,” Dec 2018. [Online]. Available: https://www.thedp.com/article
unsuccessful participation of industry practitioners in academia describedabove, this research details an innovative teaching model in which the industry practitionersare integrated in the classroom to teach chapters of classes that take part of the curriculummandatory for students to graduate. The process of selection of the industry practitioners, andtheirs and students’ feedbacks on this model are assessed. This teaching model was applied ina newly founded Construction Management program at the University of Wyoming. Theprogram developed this teaching model as a supplementary feature for attaining AmericanCouncil for Construction Education (ACCE) accreditation status by Spring 2022. Thoughsome changes would be required, the model is expected to be
: Expanding Options in Data ScienceAn early step was to assess the existing curricula at Spelman and MSU and identify areas whereadditional training and supports might be needed for students to successfully transition from aBachelor’s program in Natural Science to a Master’s program in Data Science. For example, atSpelman students majoring in Biology, Physics and Mathematics develop a strong foundation incomputer programming (Python) as part of their existing curriculum. However, success in DataScience requires additional preparation in applied linear algebra and code optimization that arenot typically part of natural science degrees (at Spelman or elsewhere). Towards this goal,faculty at both institutions are collaborating to adapt successful
speakersession during week two lacked student participation and engagement, but with sufficientwait-time, mute buttons began to be turned off and students started asking questions. By the endof the program, more than three graduate students joined at once, and high school students ledthe conversation without any assistance from instructors other than a brief introduction. At first,questions focused on the content the guest speaker had shared regarding their research, but thesequestions quickly shifted toward the guest speaker’s journey in education.Table 1. Program OverviewMethodsTo assess the impact of the virtual summer program on student interests in STEM, we collecteddata by asking students to turn in lab reflections each week via email. Because
the Sustainable By Design Residential Academic Program (2014-2017), Director of the Environmental Engineering program (2006-2010), and ABET Assessment Coordinator for the CEAE Department (2008-2018). Bielefeldt is active in the American Society of Civil Engineers (ASCE), serving on the Civil Engineering Program Criteria Task Committee (2019-2022) and the Body of Knowledge 3 Task Committee (2016-2018). She is the Senior Editor for the International Journal for Service Learning in Engineering (IJSLE) and a Deputy Editor for the ASCE Journal of Civil Engineering Education. Her research focuses on engineering education, including ethics, social responsibility, sustainable engineering, and community engagement
protected time for teams to meet with each other, which is why one lecture meetingper week is set aside for team activities.Formative Evaluation of Design ProjectOur formative evaluation of end-of-term design reports indicates that the course redesignaffected a subset of course learning outcomes (Table 1). Student outcomes for Prototypingsignificantly improved with the course redesign (𝜒𝜒 2 (4, 𝑁𝑁 = 12) = 11.09, 𝑝𝑝 = 0.02). Therewere also notable gains post-redesign in student outcomes for Problem Definition (e.g., end-userneeds assessment, defining metrics), Conceptualization, and Project Management, although thesefailed to reach the threshold for significance (𝑝𝑝 < 0.05), due to some underpowering in thisinitial study design. Pre
facilitation as intended. One vital online discussion remains, however—peer leader introductions and small group assignments. During the first week of the semester,each PL posts a one-minute video introduction sharing their technical interests, co-curricularexperiences, extracurriculars, and personal hobbies/interests. ECE Discovery Studio students areasked to engage in the discussion board, post replies, and select their peer leader. Facilitatingpeer leader meet-and-greets virtually models elevator pitching, which students learn later in thesemester, and allows students to get to know their peer mentors in an approachable medium.Pilot Semester Course EvaluationThe School’s internal assessment team conducted an extensive course evaluation during
identity, culture, and diversity. This is aconceptual leap for many engineers who are typically not trained in social sciences where thesetopics are explored. By explaining this aspect as shown, and by using an engineering analogy, weintroduce the concept in a way that is intended to invite consideration and foster understanding.As well, the engineering analogy here relates this question to requirements analysis, and morespecifically, hidden assumptions or unstated requirements, a topic familiar to most engineers,and it encourages deeper reflection on this question.Education: How do we best educate engineers? This includes, but goes beyond sharing good practices for classroom conduct, assessment, and curriculum development for
population and garners their interest in the more expansive field of cybersecurity. Finally,by Curriculum Level Evaluation, we perform a rigorous assessment of the effectiveness of theeffort both from the student perspective and the instructor perspective. In this paper, we focus onthe first component of the methodology, namely Analysis of Literature as highlighted in red inFigure 1. In the following section, we demonstrate the implementation of this component througha cybersecurity education curriculum use-case in Florida International University (FIU).3.2 An Example Institutional ContextFIU’s cybersecurity curriculum begins with foundational subjects of Introduction to Databases(CGS 1540), Programming in Java (COP 2250), Intermediate Java (COP
presenting the case-study methodology used toexamine two teams of students engaged in the labs.STEM Integration Integrating engineering design activities in physics have been shown to be effective inimproving student achievement and attitudes [12] – [14], motivation, interest, and self-efficacy[15], [16], as well as learning [14], [17], satisfaction, and retention in STEM [18], [19].Integration of design and science can also facilitate students to engage in metacognitive thinking[20] including the processes of planning, monitoring, and assessing their own learning [9]. Thisis particularly true when the design activities contain problems that require different problem-solving processes [21]. In addition to facilitating learning and
codes. First, codes are abstract, and professionals must use their judgementto assess and make decisions not necessarily covered by a code [8]. Second, there is thepossibility that codes will place an obstruction between personal professional conduct andpersonal values, beliefs, truth, conscience, etc… which challenge a person’s integrity [9].Finally, written codes are fundamentally disciplinary by nature and are not inspirationaledicts to guide a professional to achieve good ethical decisions [10]. Character education isan alternative approach to these challenges endemic to current ethical code education.Character education through virtue provides a more effective method to inspire engineers andwill assist them in making better ethical
Vollstedt (Teaching Assistant Professor) Ann-Marie Vollstedt is a teaching assistant professor for the College of Engineering at the University of Nevada, Reno (UNR). Dr. Vollstedt completed her dissertation at UNR, which focused on exploring the use of statistical process control methods to assess course changes in order to increase student learning in engineering. Dr. Vollstedt teaches courses in engineering design as well as statics and runs the Engineering Freshmen Intensive Training Program. She is the recipient of the Paul and Judy Bible Teaching Excellence Award, F. Donald Tibbitt's Distinguished Teaching Award, The Nevada Women's Fun Woman of Achievement Award, and the UNR College of Engineering Excellence Award.Adam
the contextof a perceived discomfort level experienced by faculty participants. The FLC is paced so that thefirst year focuses on engagement with DEI knowledge, mindsets, and skillsets such as self-inquiry and reflection; the second focuses on translation of these learnings to the studentenvironment, such as course design; and the third focuses on creating a wider impact andinclusive community across the academic college. This three-stage process includes appropriatefeedback loops for reflection, assessment, and improvement of the process.Reflecting a constructivist theoretical framework, this pacing allows for progressive building onprior learning and understanding to operationalize best practices in a collaborative and positivespace. The
] andheightened expectations for engineers to respond to these changes [8]. While concepts and theories fromthe transdisciplinary field of complexity science [5], [9], [10] have begun to make their way intoengineering, they are often limited in how complexity is addressed or conceptualized [4], [11]. Forexample, Summers and Shah [12] proposed a framework to assess the complexity of design problems,which focuses on the size, coupling and solvability of problems. While these are important dimensions ofcomplexity their framework ignores many other dimensions of complexity or complex systems such asnonlinearity in interactions and path dependency of the system [10], [13]. Regardless of how researchersconceptualize the complexity of real-world problems
, in alignment with the University Library’s Strategic Framework [21] andResearch Division goals and initiatives, in 10 functional areas: assessment; instruction;engagement - clinical, research, communications & technologies; data; informatics; diversity;partnerships; community outreach; global health; and grant development. Jointly developedgoals allow both flexibility for disciplinary differences as well as collective collaboration inboundary-spanning areas such as research impact and reproducibility; data management andvisualization services; expert searching; innovative approaches to sustainable instruction;curriculum integration; research integration; and library services mapped to the research lifecycle. In addition, the leadership