factors were available for them to choose from, with the addition of “experienceddiscrimination.” Finally, participants responded to questions describing their identity as amember of each of the two fields. They used a 1-5 anchored Likert scale to assess their level ofagreement with statements, such as “I have felt unwelcome in the field,” and “My workpositively impacts the world,” which are designed to investigate push and pull factors,respectively. The identity questions were based on existing self-efficacy [47] and engineeringidentity frameworks [48], and a full list of the statements can be found in Table 1. Becauseengineering identity and self-efficacy are closely tied to retention rate [32]–[35], these resultsallowed us to quantify the
. Chapman, and M. Davidson, "Quantifying success and attempts on auto-graded homework when using an interactive textbook," in ASEE Annual Conference, 2020, pp. 1-12, doi: https://peer.asee.org/35116.[16] M. Richards-Babb, R. Curtis, Z. Georgieva, and J. H. Penn, "Student Perceptions of Online Homework Use for Formative Assessment of Learning in Organic Chemistry," Journal of Chemical Education, vol. 92, no. 11, pp. 1813-1819, Nov 10 2015, doi: https://doi.org/10.1021/acs.jchemed.5b00294.[17] G. Kortemeyer, E. Kashy, W. Benenson, and W. Bauer, "Experiences using the open-source learning content management and assessment system LON-CAPA in introductory physics courses," American Journal of Physics, vol. 76, no. 4, p. 438
theywould not repeat similar behavior in the future. In effect, this technique provided a learningopportunity for students instead of penalizing them right away.Sheard et al. in their national study interviewed 30 CS educators from 25 universities and foundthat educators utilized a variety of strategies for reducing academic misconduct in introductoryprogramming courses [5]. Strategies included education; empowerment; discouraging cheating(e.g., more awareness of potential consequences, making student work visible, etc.); reducing thebenefits of cheating (e.g., low stakes assessments); and making cheating difficult (e.g.,individualizing assessment). Education constitutes teaching students about academic integrity andproviding them with relevant
electric wires, a cover of the same shape as that of the recess is separately designedand 3D printed, such that it fits tightly into the recess. The cover is secured in place through aseparate assembly step after the drone body and cover have been printed the wires placed.Figure 7, integration of the developed PDB into the drone body design, (a) top view of the drone bodyshowing the battery input node (far left) and the seven outlets (four for the quadcopter morors and threeoptional outlets as needed), and (b) bottom view of the drone body with the electric wires routed andsoldered to the different outlets (a lid will cover the wires in the fully assembled drone)4. Assessment of the program outcomesAs part of the evaluation of the project, we
tool for Latinx and Spanish speaking students. We also embarked on theprocess of developing, implementing, and assessing an informal learning curriculum that usescommunity narratives, storytelling, and other culturally authentic and relevant educationalpractices to engage Latinx students in learning to code by mixing music.Curriculum Overview: During the first year of the Remezcla project, the curriculum teamdeveloped the first iteration of the program to be implemented during the summer camp in 2021.The curriculum was developed using best practices from the Culturally Relevant EducationFramework (CRE) [19] and Culturally Sustaining Pedagogy (CSP) [20]. CRE is an inclusivemodel that encapsulates the tenets of culturally responsive teaching [21
practice design Organization CEC CCAA ACEI ACF PTD Age 18- General Handling Coded 33 4 2 11 12 Age Age -2-5 Age 0-2 Age 5+ Segments 24 practise tools Top code 1 design content assessment
needs, assess their current level of capability, identifycompetence gaps, and plan how to fill those gaps based on the nature and scope of their nuclearpower programs. The management of this information, the knowledge that individuals require aspart of their competence requirements for assigned activities, as well as the additional knowledgethey gain while performing those duties, is an important component of good human resourcemanagement. Throughout the course of the IAEA nuclear energy program, this knowledge isrequired by numerous generations of workers. As a result, the IAEA technical document alsodiscusses the importance of developing a proper knowledge management system inside thenuclear energy program, as well as the benefits of doing so
Paper ID #38072The Impact of Short Mindfulness Practices on Student Attention and Focusin Upper-Level Civil Engineering Design ClassDr. Priyantha Wijesinghe, University of Vermont Priyantha Wijesinghe is a Senior Lecturer in Civil and Environmental Engineering and Director of Curric- ular Enrichment for the College of Engineering and Mathematical Sciences (CEMS) at the University of Vermont (UVM). Priyantha is a structural engineer and architect by education and is an engineering edu- cation and assessment expert. As the Director of curricular enrichment, she has organized and facilitated numerous teaching and assessment
groups propose, communicate, justify,assess, and legitimize knowledge claims [11], [14]. Using empirical studies of engineering acrossdisciplines, Cunningham and Kelly [4] identified sixteen epistemic practices of engineers that areimportant to consider for K-12 classroom engineering projects, and they have been incorporatedas habits of mind of engineers for practitioners in Cunningham [12]. It is the participation inthese practices that gives us insight into how students (and teachers) learn about engineering.K-12 Teacher Professional Learning Sustained professional development is the most effective type for fostering teacherlearning and changes in teacher practice [15]–[17]. However, while a high percentage of teachersparticipate in
consist of 33% majoritygroup team members (e.g., white students) and 67% underrepresented group team members (e.g.,students of color) or vice versa. During the early part of the semester, students completed a sur-vey with questions about their race or ethnicity, gender identity, age, year in school, availability,commitment level, and preferred leadership role using the Comprehensive Assessment of TeamMember Effectiveness (CATME) SMARTER Teamwork system.30 Student responses were usedto facilitate the selection of diverse teams based on their responses to the race or ethnicity andgender identity questions. Each team’s composition reached a medium level of racial diversity,where 60% of the group consisted of students of color and 40% of the group
-personversus virtual delivery.5. ReferencesBauer, K. W., & Bennett, J. S. (2003). Alumni perceptions used to assess undergraduate research experience. The Journal of Higher Education, 74(2), 210-230.Cox, M. F., & Andriot, A. (2009). Mentor and undergraduate student comparisons of students’ research skills. Journal of STEM Education: Innovations and Research, 10(1).Lopatto, D. (2007). Undergraduate research experiences support science career decisions and active learning. CBE—Life Sciences Education, 6(4), 297-306.NSF. (2019a). Research Experiences for Undergraduates (REU). Retrieved from https://beta.nsf.gov/funding/opportunities/research-experiences-undergraduates-reuNSF. (2019b). Research Experiences for
additional check on the progress of each scholar from a previous semester. In the beginning of each semester, each applicant, new or a previous scholar, responds to a brief questionnaire allowing us to carefully assess each applicant’s potential, progress, and suitability for mentoring. This process is not burdensome for the applicants, but it allows us to screen the applicants carefully and to check their progress every semester. The S- STEM Program Director briefly interviews each applicant in person (on the phone during the pandemic), and this interview not only forms a crucial step in the admission to our program but also provides the applicants to present themselves and interpret their academic record and potential just
to participatecybersecurity competitions and 10 students participated in the National Cyber League (NCL)competition, and encouraged students to participate in presentation activities and 2 students presented inthe IC CAE Virtual Event hosted by University of North Carolina at Charlotte, and 10 studentsparticipated in various IC CAE virtual presentations.Goal 5: Create an online space for sharing of information - This work is on-going.Summary and ConclusionsAs seen in the project findings section, we were able to meet the project goals. We have offered Theproject activities were evaluated by an external evaluator and the evaluation results were shared with theadvisory council and the project team. Changes to assessment activities were made
Accreditation Council Training Committee. He was previously a Member-At-Large on the Computing Accreditation Commis- sion Executive Committee and a Program Evaluator for both computer engineering and computer science. Estell is well-known for his significant contributions on streamlining student outcomes assessment pro- cesses and has been an invited presenter at the ABET Symposium on multiple occasions. He was named an ABET Fellow in 2021. Estell is also a founding member and current Vice President of The Pledge of the Computing Professional, an organization dedicated to the promotion of ethics in the computing professions. Estell is Professor of Computer Engineering and Computer Science at Ohio Northern University
gradually increasing. To ensure this, the levelof difficulty of each application problem and guided problem was measured and provided inthis section..To assess the level of difficulty of each problem, the author created expected answer codesfor each problem, and a method modified from a previous study [14] was used. The followingitems were used to measure the level of difficulty of the application and guided problems inthis course: the number of commands, the number of operators, cyclomatic complexity, themaximum nested blocks, and the number of reduced lines after refactoring. Each answer codewas measured and scored based on these items. The scores of all items for each problem werethen added to predict its level of difficulty.Fig. 1 shows that
the value ofunderstanding the systems they are using to write programs, retain the information they arelearning, and take that information to future classes and see how it fits in the curriculum as awhole. This paper explores if and how pre-assessment reflection prompts affect the way studentsretain information learned in a Computer Organization class and aims to answer the followingresearch questions: ● RQ1 - How does answering reflection prompts on course content correlate with student performance on exams? ● RQ2 - What are student perceptions of the usefulness of reflection for exam preparation?2 Previous WorkIn a review of the CS education literature, we found that reflection has been suggested as a wayof enhancing problem
voluntarily fill out a second Google Forms survey which isdenoted as the post-CAR survey. The pre-CAR and post-CAR surveys are exactly the sameexcept for the additional post-CAR survey questions shown in Table 5. Filling out the surveysand watching The CAR Strategy video are completed asynchronously and remotely. Thus, fromstart to finish this trial of The CAR Strategy requires approximately a total of 15 to 25 minutes ofa students’ time depending on how long they take to fill out the surveys.In both surveys, a Likert scale [23] is used to assess the student’s familiarity with the engineeringterminology “master-slave”, whether they have ever considered the impact the term may have onothers, and whether the term makes them personally feel
environment, results indicate that students overall felt that learning outcomes wereachieved to the same degree as with an in-person environment and grades were not affectedsignificantly.Learning outcomes that appear to be more difficult to meet in an online learning environmentinclude gaining teamwork and communication skills. These can be challenging to properlyteach, integrate, and assess in any learning environment. Further study of how best to teach andintegrate these skills is warranted.Limitations of the study include that it is focused on a single class, with no lab component, and isnot heavily quantitative. Also, in the comparison of grades, exam format was changed fromclosed-book, closed-notes with the in-person learning environment to open
learning and teaching in technology and engi- neering contexts. His past work has bridged cutting-edge soft robotics research to develop and evaluate American c Society for Engineering Education, 2021 Paper ID #32550 novel design experiences in K-12 education, followed students’ self-regulation and trajectories while de- signing, and produced new instruments for assessing design decision-making. Andrew received a PhD in Technology through Purdue’s Polytechnic Institute, with an emphasis on Engineering and Technol- ogy Teacher Education, and completed postdoctoral
a maximum of eight studentswith an assigned undergraduate teaching assistant. Each class dealt with the limits of thepandemic in different ways. For instance, some courses developed “@Home” kits, some coursesprovided limited access to campus spaces, and some courses had all virtual projects. The facultymet weekly to assess course progress. Additionally, a survey was developed to assess students’learning gains, their experiences in the course, and approaches to handling a project-based coursein the era of COVID.IntroductionIn the summer of 2020, a group of faculty teaching the Cooper Union’s first-year engineeringdesign course (Engineering Design and Problem Solving – EID101) conducted a courseassessment and redesign, which included
fosterintrinsic motivation in the engineering classroom.IntroductionA motivated person is often described with positive adjectives, such as happy, energetic, anddriven. Student motivation is similarly tied to positive outcomes in an educational context, suchas higher engagement, enhanced learning, and increased persistence and retention [1]. Highlymotivated students often exhibit positive learning behaviors, retain what they study and learn,and become more driven towards setting and attaining goals related to their learning [4].Naturally, students’ motivation can be enhanced or hindered by their instructors’ interaction withthem through classroom dynamics, assessments, and overall teaching styles. The intentionalactions taken by teachers to increase
, an international online community helping provide resources to promote graduate student welfare.Dr. Greg J. Strimel, Purdue University at West Lafayette Greg J. Strimel, Ph.D., is an assistant professor of Technology Leadership and Innovation and coordi- nator of the Design & Innovation Minor at Purdue University. Dr. Strimel conducts research on design pedagogy, cognition, and assessment as well as the preparation of K-12 engineering teachers. American c Society for Engineering Education, 2021Graduate Student Wellness and Experiences as Told Through Instagram Liesl Krause1 and Dr. Greg Strimel1 1 Purdue University, Polytechnic
employed Miles,Huberman, & Saldana (2013) qualitative coding strategies for the study. Particularly, weconducted coding with a process inspired by Miles, Huberman, & Saldana “hypothesis coding”in the first cycle coding phase. In hypothesis coding, one uses predetermined codes from a theoryor prediction to assess a hypothesis. In this study, we applied a similar process in that we used apredetermined code from a theory to analyze the interviews (codebook shown as Table 3 below).However, we did not generate a hypothesis as the study is exploratory in nature. Thepredetermined code is specifically the outcome expectation construct from the SCCT framework,and we used the definition of Lent & Brown (2006) for outcome expectation to frame
, especiallyP-S and P-V fit, may prove advantageous. In career counseling theory and practice, manydimensions of fit are assessed (fit of the individual’s interest, ability, values, personality,experiences, etc. to the environment) as individuals make their career choices [32]. Similarly, amodel to understand why women leave the engineering profession needs to be comprehensive,incorporating many of these same dimensions. Others such as Su et al. [48] and Armstrong et al.[49] have called for such an integrated model of fit.One type of P-E fit, interest congruence, is useful in understanding how and why women decideto leave the engineering profession. Interest congruence is a secondary construct of the theory ofvocational personality [50]. It is a
Paper ID #32926Kindness in Engineering EducationDr. Angela R. Bielefeldt, University of Colorado Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Envi- ronmental, and Architectural Engineering (CEAE) and Director for the Engineering Plus program. She has served as the Associate Chair for Undergraduate Education in the CEAE Department, as well as the ABET assessment coordinator. Professor Bielefeldt was also the faculty director of the Sustainable By Design Residential Academic Program, a living-learning community where students learned about and practice
convey as much information asthe numerical value. In addition, she would discuss whether the numerical value obtained forthat question made sense in the context of the problem. All too often, students simply writedown an answer because ‘their calculator said so’. Discussing the validity of a particular answeraids in training students to pause, assess their answer, and determine whether the problem meritscloser examination. The skill of self-assessment is so important that authors of universitytextbooks, such as Beer and Johnston, have begun to explicitly define and instruct it in theirtextbooks [5]. Undoubtedly, this particular skill is one that is necessary for all aspiring engineersto master as they prepare to enter the workforce -- where
”)) 5Selection Process Identifying Number of records identified through database searching n = 311 Number of records after duplicates are removed 47 n=264 Duplicates removed Screening Number of records left after screening by 231 title and abstracts Records excluded n=33 Eligibility Number of full-text articles assessed
teams. The studydid not use a hardware-based project. Martin and Devenish’s study [21] on project-basedpedagogical approaches also implemented PBL courses in virtual mode for engineering skills. It © American Society for Engineering Education, 2021concluded that the pedagogy and assessment need to be altered to fulfill the needs of onlinelearners. While delivery of PBL to on-campus students is widely used in US Universities, there wasscant data related to online delivery of PBL courses, especially for electrical, civil and, mechanicalengineering majors. Considerable efforts are required when conducting the PBL in an entirely vir-tual environment. Such measures include establishing a learning community in a
mini lectures. Each student(or a group of students) prepares a 15-to-20-minute presentation toshow his/her/their essential findings related to the selectedmanufacturing process. The micro-lectures focus on the importantfeatures and applications of the selected manufacturing process. Fig. 3 Wolf head nutcracker projectVideo segments and simulations can be used to enrich students’understanding of the manufacturing process. Peer evaluations are used to evaluate micro-lectures inaddition to the instructor’s evaluation. Participation in peer evaluations and discussions is necessary forthe final assessment of the micro-lectures [4]. For the lab, the project is designed to provide students withhands-on experience in several manufacturing processes to
used in engineering,studies have shown that engineering students most commonly identify prototyping or physicalmodels when asked about modeling [1]. Additionally, students are often unaware that modelsmay be used to make predictions. Previous studies have found that modeling interventions cansignificantly increase students’ understanding of mathematical models and the use of models tomake predictions [1, 2, 4].Some types of models embedded in engineering curriculum, industry, and research are: physicalmodels, prototypes, Computer-Aided Design (CAD) models, engineering sketches, mathematicalmodels, statistical models, computational models, computer simulations, project managementmodels, risk assessment models, and financial models. Additionally