has also beendocumented in the education literature, supporting the value of such study design in engineeringeducation (Bryan, 2003).Figure 3: Charlie’s background and data analysis process As part of the larger study, data collection involved two types of data form (Figure 3).First, the participants provided their course syllabus and a test they used. The course documentdata pool only had a course syllabus and a test for each participant because some participantswere not comfortable sharing more than one test. To ensure consistency across the seven cases,the course document data pool is limited to one syllabus and one test. For Charlie, the syllabusand a test from his thermodynamics course became part of the data analyzed for this
course instructor used the board/visuals/computer effectively. D 9. The course instructor spoke loudly and clearly. D 10. The course instructor established and maintained office hours. 11. The course instructor distributed a course syllabus at the start of the semester that specified the D course expectations, grading criteria, and student responsibilities. D 12. The course instructor corrected assignments and exams in a timely manner. D 13. Grading of exams and assignments was done in a fair manner. D 14. Course workload was appropriate. D 15. Course instructor had good command of the class and control over disruptive student behavior. D
summarized in Table 1. The course begins with the review of basicknowledge in probability, statistics, and programming in Python (Appendix A). The rest of thesemester covers common supervised and unsupervised learning algorithms, and modelevaluation (Fig. 2). This review article provides the description of each covered topic [1]. Whilethese topics are similar to introductory machine learning courses offered by other Engineeringand Computer Science departments and online courses [2]-[4], students learn to apply thesealgorithms to biomedical and life science applications. Students are exposed to different types ofbiomedical data such as measured physiological signals and medical images (Appendix B). Theyalso see typical issues with biomedical data
Engineering, MechanicalEngineering and even Space Engineering [8-20]. In this work we analyze the impact thechallenge and the participation of the Strategic Partner had in the learning process of a course ofStructural Engineering within the framework of our educational model using a challenge-basedapproach. In this study, we also analyze two different modalities for the sessions: hybrid sessionsand fully online, as the two cities had different conditions during the pandemic.ObjectivesThe main objective of this work is to present the results of the participation of the strategicindustry partner in the course that required students to present the solution to a real life scenarioor challenge, particularly, the proposals for a structural system of an
group of APMA faculties was assembled, and we startedan extensive revision of the way we were delivering math courses to our undergraduateengineering students. Even though the engineering school did not urge us for innovation, wecould not turn a blind eye to how the teaching and learning environment was changing aroundus: Emerging new technologies Open-source online homework systems Changes in demographic in the engineering school, with increasing female enrollment. UVA E-School has one of the highest ratio of female-to-male students in US: 34%. A slow but steady growth of underrepresented minorities.In addition, engineering schools change their approach towards students by shifting from aweeding system to an
culminates in a design expo where students demonstrateand present their main projects for the term.There is a template syllabus provided to instructors, including learning objectives, recommendedlectures, and recommended assignments. However, individual instructors have control over thespecifics in their course, including selecting the type of preliminary projects and themes (or opentopic) for the main project.In the fall semester of 2021, a number of sections presented students with the project motivationsfrom Jump Into STEM (which included equal access to healthy indoor air, resilience in the wakeof disaster, and solving market adoption for emerging technologies). Other sections presented alocal institutional ‘climate change’ challenge to students
forwhatever other supplemental languages that students may end up mostly using when problem-solving in consequent courses of their major disciplines. The Computer Science faculty took chargeof content development for the course. The syllabus topics for the first implementation of thecourse during Fall 2018 would eventually be systematized as in Table 1.Table 1. Course Topics, Calendar of Activities, Major Assignment Dates Week Class Topics Assignments 1 (8/27-8/31) Introduction to Course, Engineering, and Programming Lab 1, 1b 2 (9/3-9/7) Sequential Steps, Variables, Assignment Lab 2, 2b 3 (9/10-9/14
the design of an elevated walkway sothat park users could walk and enjoy an elevated view of the river, over the levee.In the capstone course, student teams were formed based on students’ CATME survey responses.CATME is an online survey tool developed by Purdue University. This tool optimizes studentgroups based on survey responses. The survey allowed students to identify their preferredproject, civil engineering sub-discipline of interest, and other factors. Each project was assignedto 1-2 teams, with 4-5 students per team. The teams experienced a simulated client-providerrelationship that included meeting with the project clients to hear their needs and wants for theproject, receiving feedback from the client on their midterm project
used ISBL modules aspart of their assignments; and a “control” group that used traditional textbook problems asassignments. All other factors including the instructor, course syllabus/structure, instructionalmode, textbook, etc. remain the same for both groups. Figure 2 summarizes the experimentprocess. Administer a Students are Collect data on outcomedemographics survey randomly assigned Control variables (motivation, (gender, race. major, to Control and experiential learning,GPA, personality type) ISBL (intervention) ISBL engineering identity, self- to establish baseline groups
Paper ID #37917A Module on Ethics and Social Implications of Computingfor Introductory Engineering Computing CoursesBrooke Odle (Assistant Professor) Dr. Brooke Odle is an Assistant Professor in the Engineering Department at Hope College. She and her team of undergraduate researchers are interested in developing interventions to reduce risk of musculoskeletal injury associated with manual patient-handling tasks. Courses she teaches include “Engineering Computing,” “Biomechanical Systems,” “Dynamic Systems Laboratory,” and “Mechanics of Materials Laboratory.” Prior to joining Hope College, Dr. Odle was a
Junior Enrollment Status Full-time Full-time Full-time Full-time Full-time Enrolled Courses 7 or more 3 to 4 5 to 6 5 to 6 5 to 6 Type of Enrolled Units (Eng-Lec/Eng-Lab/Non-Eng) 12/2/3 12/2/0 8/1/1 9/1/0 14/2/0 Total Units Enrolled 17 14 10 10 16Note. Eng-Lec is engineering lecture course, Eng-Lab is engineering laboratory course, Non-Engis non-engineering course.Teaching Strategies or ProceduresThe syllabus of the selected course included 13 different topics. Students had a set of skeletalnotes provided for each topic. The skeletal notes included the lesson learning objectives, relevantpre
rate the organization of this course. 3.60 4 90.00% Based on what the instructor(s) communicated, and the information7 provided in the course syllabus, I understood what was expected of me. 2.82 3 94.08% Begin this course evaluation by reflecting on your own level of engagement and participation in the course. What portion of the class preparation activities (e.g., readings, online modules, videos) and8 assignments did you complete? 3.89 4 97.19% Future Plans and ConclusionThis paper could shed some lights to engineering programs or institutions who are interested inoffering a similar
were then assigned todevelop 2-3 modules on each of the topics.Course FormatThe 1-credit, 5-week course was offered online or in-person, live and instructor-led, with twosynchronous modules and one asynchronous module including assessments per week. The coursewas designed to be taught in person at each of the institutions and synchronously with the partneruniversities. Since all four institutions used the same Learning Management System (LMS), eachcampus created their own course for the Fall 2020 semester and then added the shared materials.To reduce confusion, only one LMS course was created (through ASU) for the Fall 2021semester and students at the other institutions were given courtesy accounts to access the postedinformation.Each campus
at UMES which provides specialization options to the students in thetraditional areas of electrical, mechanical, aerospace, and computer engineering. The course isoffered to engineering juniors and draws upon pre-requisite knowledge of computer programming,electrical, and mechanical engineering fundamentals of a spirally bound curriculum [7] with abroad emphasis. Interested readers can visit the URL Instrumentation Course Syllabus Fall 2021to peruse the course outline. The course provides an overview of sensors and instrumentation andthe critical role it plays in characterizing physical phenomena and process monitoring as well asfeedback control. Fundamentals of electricity (DC and AC) and electronics as well as engineeringmechanics and
undergraduate seniors, the students were primarily familiar with traditional pedagogies –receiving new material in class and working on a homework out of class. To set conditions forimplementing the three pedagogies examined in this study, students were made aware of thecourse design via a two-page description in the syllabus, a question on the first homeworkassignment asking the students to describe the course in their own words, and through repeatedverbal reminders by the instructor throughout the semester.Problem-Based LearningTwo versions of problem-based learning were implemented in the course – daily homeworkproblems, and large real-world problems.Homework ProblemsHomework problems are not typically thought of as problem-based learning; however
presentationsimpacts student’s engagement within an online class context, to gain insight for developingan efficient methodology which may enhance learning outcomes within our digital flexibleeducation model.MethodologyDuring this research, a quasi – experimental study was performed within 51 first – yearengineering students sampled by convenience. The students where enrolled in aMathematics course at Fall 2021, which included differential and integral calculus. Theywere segmented in two groups: an experimental group and a control group. Due to ourUniversity’s enrollment process, researchers had no control on the selection of students forthe experimental and control groups, however, the characteristics of all students weresimilar, in terms of academic
systematic application of inclusive teaching standards(called I-Standards) in our curriculum. The I- Standards were inspired by the approach andformat of Quality Matters, the certification system for online courses, which is adopted at theuniversity for all online classes and is supported by the university teaching center [6]. Theywere developed by a team of faculty by integrating principles of Universal Design forLearning [7], evidenced-based inclusive teaching practices and a comprehensive suite ofstudent support structures anchored by the strength-based approach. The I-standards are usedas a guide to organize the activities of the I-team, a team of instructors who attend a series ofworkshops and work together to redesign their courses.Research
Management – Project, Budget & Personnel Management; ReportingMar. 25 Written Communication – Peer reviewMar. 30 Research Proposal Workday: Peer ReviewApr. 1 Oral Communication – Oral presentationsApr. 6 Oral Communication – Poster presentationsApr. 15 Research Proposal Workday: Class PresentationsApr. 20 Research Proposal Workday: Class PresentationsApr. 22 ResearchApr. 27 EthicsApr. 29 MentoringMay 4 Final exam2.2. Interdisciplinary research proposal and projectAs is mentioned in the syllabus included in the preceding section, students taking the transferableskills course form several multi-departmental and interdisciplinary teams. These teams arecharged with preparing
do not motivate adult learners. However, they have anessential role in the coursework. They will show a degree of audience participation, engagement,and involvement. During the interview, the instructor stated that using visualization technologiescan help learners become more engaged, particularly in online courses. The results showed thatusing visualization technologies contributed to effective assimilation of knowledge awareness ofthe relationships between different components of the course. It will help the learners make arational transition from the coursework subjects to their applications in their work.Visualization technologies in active learning"Workforce development courses are through the use of video examples. And so thecourses
development with the faculty we instead chose to only havelectures from experts. The faculty emphasized their desire to provide programming viaindividuals or organizations with the relevant expertise in performing research in and teachingthe material they would present to the students. As this would involve inviting faculty membersat our institution or others, this lessened the burden on the graduate students developing anextensive curriculum update. While the department was initially hesitant to devote an entiresemester to this new format, they eventually approved a proposed syllabus of seven speakers forthe semester. Finally, given the heavy course-load associated with the first-year graduate studentcurriculum in our department, it was decided that
communication model. Educators and students across the world, for the most part, havebeen working to accommodate socially distanced and virtual schools while addressing theassociated fears and concerns. For educational institutions, online synchronous meetings usingZoom or similar software platforms have replaced face-to-face teachings. The approach tohandle the teaching disruptions caused by the pandemic is somewhat similar among educationalinstitutions. The disturbance seems to be more manageable for the lecture-based courses thanthe laboratory classes. This paper is based on our experience in teaching electrical engineeringcourses. We observed several sudden changes that we contributed to this disturbance, amongthem a drop in student satisfaction
competitions.Goals and ObjectivesThe goals and objectives of this project are the following:Goal 1: Formulate a project advisory team.Objective 1.1: Assemble a diverse team consisting of at least 5 leaders from academia and industry with experience and expertise in various aspects of Cybersecurity education.Goal 2: Develop Cybersecurity educational material for all undergraduate majors at the University.Objective 2.1: Develop an introductory cybersecurity course for all non-majors.Objective 2.2: Develop course syllabus and instructional material for this course.Objective 2.3: Get the course officially approved by the University and offer course.Objective 2.4 Perform periodical course evaluations and use the result of the
studied how the lab reports were evaluated. We collected the instructional materials,such as course syllabus, lab handouts, or lab report assessments, given to the students from seveninstructors in nine lab courses from both electrical and mechanical engineering programs.The study results may contribute to engineering educators to visualize a school’s engineering labreport writing education. Also, this study presents engineering lab instructors’ writingpedagogies and preparedness for lab report assignments and assessment from the program level.It also suggests room for improvement in engineering lab report writing education.2. Methods of Approach2.1 Study AreaThis study took place in the engineering programs (Electrical and Mechanical) at
workplacesuccess.Pre-Research ActivitiesThe research team conducted a comprehensive literature review in the areas of advancedmanufacturing education, employment, entrepreneurship, and intrapreneurship. This literaturereview will be used to refine the research questions and ground the study findings. The researchteam has also compiled relevant national, state, and professional AM competency standards aswell as prevailing industry certifications.Data Collection and Analysis MethodsTo answer the RQs, the research team completed several data collection and analysis activitiesincluding:1. We used content analysis of AM course syllabi to develop lists of skills gained by students who successfully completed AM coursework. The unit of analysis was a syllabus from
collaboration environment in the Metaverse. Method Though there are several virtual reality classroom environments available to test we choose the Horizon Workrooms because of the ease and availability of Quest goggles and the default avail- ability of the Horizon Workrooms application.5 We selected our “Technology Innovations" course to run the virtual reality classroom experiment as this course has been taught for several years with an established syllabus, was online in the past, and includes a good mix of junior and seniors. Furthermore, as the course name suggests this class was ripe ground for testing new in- novative educational tools. Blackboard is the established learning platform used on our campus and in addition
Python and demonstrate how it can beused for solving a spectrum of chemical engineering problems. The example problems were takenfrom the undergraduate chemical engineering curriculum, e.g., from courses such as ChemicalEngineering Thermodynamics, Fluid Flow, Kinetics and Reactor Design, etc. Lectures andpractical sessions were complemented by six guest lectures delivered by engineers working inindustry who demonstrated the use of Python in their jobs.Not only did the course content differ from a conventional programming course, but the coursedelivery method was also unconventional. The course was offered in Spring 2021, when all of theclasses, including this one, were taught in the synchronous online mode. I used the “flippedclassroom” approach
it seriously and to take self-care action in their own lives. The course syllabus, bridgeprogram activities, participant surveys, lessons learned, and additional assessment data will beprovided.Background and LiteratureTraditional coursework can benefit from borrowing ideas related to innovation, leadership, andentrepreneurship [1]. Several organizations have on-going efforts to incorporate innovation intocoursework including National Collegiate Inventors and Innovators Alliance (NCIIA), The KernEntrepreneurial Engineering Network (KEEN) and the Kauffmann Foundation. Raviv [1] suggeststhat innovative coursework necessitates a “student-centered” environment and a focus onincorporating problem-solving, “big picture”, personal and social skills
classroom. It was also thefirst flipped classroom experience in an engineering course for the students. The 2021 semesterincluded in the study occurred after students had experienced online and hybrid courses due tothe pandemic. This paper augments the limited published work regarding flipped classrooms inheat transfer and provides recommendations for instructors interested in flipping engineeringcourses.ImplementationOn the first day of class, the flipped classroom format was introduced, and the instructordiscussed the pedagogical benefits supported by research. Course expectations were shared, aswell as detailed in the syllabus, which included online video assignments in the course calendar.Slides from a short introductory video were presented in
classroom. (Waldorf, 2016)At UNIVERSITY, the incorporation of GD&T into the classroom began with a recommendationfrom the UNIVERSITY’s industrial advisory board in addition to interviews with severalcompanies both locally and nationally. The recommendations stemmed from students not havingadequate GD&T and machine shop skills for both designing and manufacturing products upongraduation. Based on these recommendations, UNIVERSITY redesigned a traditional fieldsession course into a successful 1) online and 2) ‘hands-on’ scaffolded approach to teachingGD&T and machine shop skills to engineering students with the goal of translating theseteaching modules into modules for the current workforce development.Throughout the past year, over 23
Associate at the Trefny Innovative Instruction Center at the Colorado School of Mines. Before joining Mines, Megan worked at the Eberly Center for Teaching Ex- cellence and Instructional Innovation at Carnegie Mellon University, where her role focused on supporting instructors in conducting research about student outcomes in their courses. Megan’s disciplinary back- ground is in educational psychology. She earned her PhD from the Ohio State University, and her research focused on the idea of relevance in higher education—how we define it, how students perceive it, and how to measure it—an interest that continues to inform her work.Dr. Amy Hermundstad Nave, Colorado School of Mines Amy Hermundstad Nave is a Faculty