students’ junior and senior years.While this course focuses on increasing the technical skills of students, it also intends to improvetheir abilities to work in a team and think critically about product design. These goals of thecourse are explicitly stated in the course objectives. To quantify the efficacy of the ClinicalObservations and Needs Finding course as it specifically relates to our geographical location andavailable resources, pre—and post—course surveys were analyzed both qualitatively andquantitatively. To directly tie the methods of analysis to the nature of the course, the learningobjectives remained forefront during the survey creation portion of the process. The objectives ofthe course as listed in the syllabus are as
discussion.Students will generally only remember the instructor’s comments as they relate to the grade.In this modified method, an online critique is assigned as homework immediately after the in-class critique. Students provide the instructor with small, JPEG-formatted graphic files of theirwork, or links to the course server, which are posted on Blackboard. Students use these to referback to the work as they complete an on-line survey form incorporating Rikert scales andcomment fields for specific subjective criteria for each work being evaluated.To accomplish this, phpESP, an open source, easy-to-use software package for creating,deploying and managing web surveys is used. With phpESP, you can create a survey through aweb interface without having to
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
similar sentiments: “Theother thing that we don't really do and we haven't done this anywhere that I've worked and itwould be really nice if we could is get these instructors of different courses together to talk aboutexactly what to cover, to even just look over the syllabus. What's covered, what they expect theirstudents to know, and what they don't expect their students to know as well.” This participantalso shared: “For all I know, whoever teaches next semester's course that follows [course], theymight expect that their students understand one topic really very well and students are coming inwith no idea how to do it because I don't spend any time on it because I don't think it's thatimportant.”These statements are further supported by
accelerated course was structured as follows; each week consisted of four one hundredminute lectures, and a lab, which was taught as a separate course. Syllabus for the course wasprovided at the beginning of the semester. Students were expected to read the concepts of thechapters before it was discussed in class. Mastering Physics10 online tool was used to assignweekly homework based on the text book11 which included video demonstrations and tutorials tohelp students to self-learn basic concepts in physics. These problems were slightly less complexthan traditional end of chapter homework problems. The number of problems varied fromassignment to assignment and was based on the contents of the chapters.During the problem discussion time, about one
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
also a valuable asset for ABET paperless documentation. The author also implementedfinal exams using course management software with the goal of collecting additional statisticsfor ABET course assessment. This online mechanism allows her to save all the exam informationas opposed to paper exam, which would require scanning of every single exam and manualprocessing of statistics such as number of questions per topic, topics with highest or lowestscores, among others.To support classroom activities, the author has extensively used course management tools.Canvas®, for instance, is an extremely helpful teaching tool that can be used to complement x To develop and apply online exams and quizzes;classroom instruction in a variety of ways, such as
inaugural Faculty Associate for Mobile Learning. He has a Ph.D. in Mechanical Engineering from the University of Wyoming (Laramie, Wyoming). He has approximately 25 publications/presentations. He is a member of the American Society for Engineer- ing Education (ASEE). He is the recipient of David S. Taylor Service to Students Award and Golden Apple Award from Boise State University. He is also the recipient of ASEE Pacific Northwest Section (PNW) Outstanding Teaching Award, ASEE Mechanical Engineering division’s Outstanding New Edu- cator Award and several course design awards. He serves as the campus representative (ASEE) for Boise State University and as the Chair-Elect for the ASEE PNW Section. His academic research
Paper ID #16406Data-Driven Course Improvements: Using Artifact Analysis to Conquer ABETCriterion 4Mr. Tony Andrew Lowe, Purdue University, West Lafayette Tony Lowe is a PhD candidate in Engineering Education at Purdue University. He has a BSEE from Rose-Hulman Institute of Technology and a MSIT from Capella. He currently teaches as an adjunct at CTU Online and has been an on-and-off corporate educator and full time software engineer for twenty years.David A. Evenhouse, Purdue University David Evenhouse is a Graduate Student and Research Assistant in the Purdue School of Engineering Education. He graduated from Calvin
and the system must be fully functional. The team must be able to demonstrate the operations of the design in realistic user environments.The course is set up as a workshop-style course. Topics are introduced and then discussed withthe teams to see how each topic is applicable to the individual projects. Students are able to applythe topic to their own projects, as well as other teams’ projects in an open setting. Topics coveredin the two courses are listed below in Table 5.Table 5. Syllabus Material for Senior Innovation I and Senior Innovation II Fall Semester (2 credits - 1x per week 1:50 min) Topics Activities Team Building
knowledge gain assessmentcomposed of 15 questions asking about the variables and units in 15 of the equations that studentslearn in the course (See Fig. 2). One of the questions asked about an equation that was not includedin the finalized syllabus; answers to this question were therefore not included in the analysispresented in this paper. In this survey, students were also asked four additional questions regardingwhat success meant for them; about their preparation for the course including which previouscourses they had taken in mathematics, physics, and chemistry; and about their expectations forthe instructor.A second portion of the pre-test/post-test offered to the intervention groups asked about studentattitudes toward learning the material
Paper ID #30146A Three-course Laboratory Sequence in Mechanical Engineering as aFramework for Writing in the DisciplineDr. Maria-Isabel Carnasciali, University of New Haven Maria-Isabel Carnasciali is Chair of the Engineering and Applied Science Education Department at the Tagliatela College of Engineering, University of New Haven, CT. She is also an Associate Professor of Mechanical Engineering in the Department of Mechanical and Industrial Engineering. She obtained her Ph.D. in Mechanical Engineering from Georgia Tech. She received her Bachelors of Engineering from MIT. Her research focuses on the nontraditional
game based assessment. The focus for theconcept tutor applications is to engage students in authentic intellectual work that facilitatesthe assimilation of knowledge in a disciplined manner that will have value beyondschoolwork.Two applications have been developed for a Mechanical Engineering class. For Kinematicsand Dynamics of Machines (MECH2120) course at a large south-eastern university thefollowing modules have been created: Cross-Product Tutor, Calculation of the Determinantof a 3 by 3 matrix Tutor. These applications were used with the purpose of refreshingstudents on how to calculate a cross-product and the determinant of a 3 by 3 matrix. Theseconcepts are prerequisite and vital for the engineering concepts learned in this class. The
students haveregistered for the Spring engineering freshman course with more expected as the semesterapproaches. Even at this early stage, this is no worse than what we have seen for retention in thepast few years (Fig. 1). 100% 90% 80% 94-95 95-96 96-97 97-98 98-99 99-00 00-01 01-02 02-03 03-04 (prelim) Academic Year Figure 1: Freshman engineering retention through the Freshman year208 students filled out an online anonymous survey about the course. In this, 80% felt that thecourse either strengthened their choice of
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
is evidenced byobjectives. Strengths of this teaching method include “learning at my own pace” being an important factor ofgreater overall student satisfaction with in-class student satisfaction with courses that have an online or e-assistance and competency-based assessment. Results also learning component [16]-[21]. One such learning approach issuggest an impact on mid-level and low achieving the mastery-based approach which has been demonstrated tostudents leading to a higher overall class performance. have increased student confidence and examination scoresCriticisms suggest simplification or emphasis on the [22] – [27]. In this approach, students with various
a widevariety of open-ended projects. MathWorks Inc. developed Simulink Support Packages forhardware such as the Arduino and the LEGO Mindstorms NXT Hardware[7]. A deliberate choicewas made to use LEGO Mindstorms NXT (NXT) so as to bypass circuitry design, and focus onprogramming, especially as a lab component is not included in the controls course. In the spring2014 semester the project-based approach using the NXT was introduced to students.Course StructureThe syllabus is structured so as to cover all items listed in the learning outcomes, which state thatthe students should be able to: i. Use the terminology necessary to define a control system, distinguish between open-loop and closed-loop systems, and state the
in their future careers. The course components include: ● Academic and Individual Development Planning ● Communication, ● Teaching and Mentoring ● Exploring Pathways to Interdisciplinary Careers ● Leadership and Entrepreneurship ● Career Exploration and Networking ● Professional & Responsible Conduct ● Health & WellbeingThis course also was designed to provide opportunities for cohort development and networkingbetween current students and alumni of the program. A copy of the syllabus from Spring 2024 isprovided in the Appendix B.Formalization of the professional development activities for graduate students in theinterdisciplinary computational science program into a two-semester course was done to
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
novel engineering and management concepts wherebyequipment construction and maintenance are monitored and managed over the Internet. Remote,online and distance education has gained widespread acceptance, even there are some stillopposition and critics [12, 13]. Laboratory practicum and experimentation are considered keyengineering education components. However, hands-on approach is often minimized or evenignored for renewable energy or power engineering courses because of space requirements,safety issues, costs, and often lack of qualified teaching assistants or laboratory engineers. Overthe last decades of technological evolution of computing, computer algebra systems, multimediaand internet have enabled the development of accessible virtual
, offering workshopsand seminars focused on scientific writing, public speaking, and presentation skills [9,10]. Someinstitutions have partnered with professionals to provide practical insights and real-worldscenarios, enriching the learning experience. Furthermore, there's a growing trend ofinterdisciplinary courses where students from different scientific backgrounds collaborate,simulating a more diverse communication environment [11,12,13]. Research in this field has alsoemphasized the importance of peer-to-peer learning, creating student-led discussion groups, andassessments focused on improving communication skills [11,13,14,15,16,17]. Digital platforms,like online courses and webinars, have also been leveraged to reach a wider audience
. Mukhopadhyay and D.N. Pinder, “Teaching engineering electromagnetics to information and communication engineering students at Massey university” [Online]. https://www.researchgate.net/publication/228648052[3] ECE3025: Electromagnetics Course Syllabus in Georgia Tech. https://www.ece.gatech.edu/courses/course_outline/ECE3025[4] EECS 230: Electromagnetics I course in University of Michigan. https://ece.engin.umich.edu/academics/course-information/course-descriptions/eecs-230/[5] Electromagnetics and applications course in MIT. https://ocw.mit.edu/courses/electrical- engineering-and-computer-science/6-013-electromagnetics-and-applications-spring- 2009/index.htm[6] M. Olszewska-Placha et al., "Open Access CAD, EM tools, and examples for
evident from the evaluation that theConnect2U approach stimulated students’ interest in water resources, raised awareness aboutwater resources, provided basic knowledge and guided how to gather water-related informationpertaining to the students’ neighborhoods. In this way, Connect2U assisted in fulfilling theobjective of the course, Introduction to Water Resources Management, as a general education-natural science requirement course. However, this study was based only on the sessions that theauthor taught. To assess the full impact of Connect2U, a collaborative study with the data on thesessions taught by the other faculty should be done.The instructor is currently working on an online version of this GeDC course that could helpdistance learning
. Stated another way, it is the student’s responsibility to learn the technicalaspects of the given domain. During lab, the instructor serves as just another available resource tothe student.2.5 DisclaimerKeep in mind that students resist change.18 Some students may have already taken collegecourses or have family members that have described typical college course experiences. At the Page 13.715.5very least, practicing life-long learning is something they almost assuredly did not encounter inhigh school. To cope with this, an instructor should: • clearly state the objectives and goals of the course on the syllabus, • clearly state the
a new, creative approach to content coverage andorganization.4.1 Content CoverageGiven the goal of presenting ECE concepts in an integrated manner, it was clear that the newcourse could not be taught by sequentially introducing circuits and devices, followed by signalprocessing, electromagnetics, and digital logic, or any other similar area-by-area organization. Inother words, the syllabus could not be determined by simply lifting portions of the syllabi ofexisting core courses and appending them to each other. Rather, Fundamentals of ECEintroduces concepts in a very integrated manner, an approach reflected in the structure of the Page
conditions, the number of quizzes was 12, althoughonly the first 11 contained questions covering target objectives. All quizzes and study plan assignments were administered via an online system calledMyMathLab®, which is an interactive learning system developed and maintained by the Pearsontextbook publishing company. MyMathLab® includes an electronic copy of the coursetextbook, and additional types of media that provide course content such as videos, animations,presentation slides, and projects. MyMathLab® also includes the MathXL® engine which canpresent students with a problem similar to those in the exercise sets at the end of each section inthe textbook. Most problems are algorithmic, meaning that each time the question is presented
introductory programming courses known as CS1. Joe Michael is actively researching the impact of using a many small programs (MSP) teaching approach in CS1 courses. His other interests include educational games for building skills for college-level computer science and mathematics.Dr. Alex Daniel Edgcomb, zyBooks Alex Edgcomb is Sr. Software Engineer at zyBooks.com, a startup spun-off from UC Riverside that develops interactive, web-native learning materials for STEM courses. Alex is also a research specialist at UC Riverside, studying the efficacy of web-native content and digital education.Prof. Roman Lysecky, University of Arizona Roman Lysecky is a Professor of Electrical and Computer Engineering at the University of
Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Student work has been presented to the public in a number of ways. At the end of thesemester, a public show of the students’ work was held in the lobby of the CU EngineeringCenter. Figures 1, 2, 5 and 6 were entered in the most recent Gallery of Fluid Motioncompetition; Figure 5 was one of the winners. Additional student images are available online,along with additional course information at http://www.colorado.edu/MCEN/flowvis/ . In March2004, a formal show of student images has been scheduled for the Boulder Museum ofContemporary Art as part of a program on “The Art of Science in Culture
PLC program through the I/O withsome basic handshaking to synchronize the two controllers.IV. Was the e-Lab effective?The course syllabus lists 12 measurable outcomes such as being able to use I/O mapping of aPLC in hardware interfacing, being able to develop control programs, etc. We studied thecourse grades to measure these outcomes. In addition, we wanted to quantitatively measure ifthe e-Lab resulted in an evenly distributed quality of education across all sites.First, the entire set of homework and exam questions as well as laboratory assignments wereexamined. Then, questions related to each outcome were combined. Next, scores of eachstudent for each outcome were tabulated. Finally, a normalized average per outcome wascomputed for (1