the concept of industrialand commercial energy conservation measures (ECMs) to undergraduate mechanical engineeringstudents. To reach this goal, multiple ECMS are selected to be analyzed in EngineeringThermodynamics course to engage senior level students in actual engineering problems, developtheir practical engineering skills, and enhance students’ knowledge about industrial andcommercial energy engineering practice. It is important to note that due to the existingconstraints in the Engineering Thermodynamics course, such as time limitations and wide-ranging topics in the course syllabus, author is recommending the most relevant, yetadvantageous ECMs, to avoid any unintentional consequences.Through several years of professional experience in
081 was that the instructor, who read and replied to the extra credit journal entries, addedtokens to the students stash (a column in the online grade center) whenever they earned a newtoken. The teaching assistant removed tokens whenever the students requested to use them, as wellas took care of all report grading. Without a trusted, well-organized and consistent teachingassistant who understands the educational value of this grading system with whom communicationis open and honest, this system will become difficult.IV. Implementation Changes in Future Course OfferingsEven though specs grading was positively received and succeeded in achieving the hoped outcome,some students (three) raised the issue of perceived performance pressure and
by the students based on feedbacksolicited by the students. By focusing on the student satisfaction and perceived learning of thematerial, the proposed model is complementary to, and should be used together with, summativeassessment tools (e.g. HW assignments, quizzes, midterm exams, final exam), which explicitlyfocus on quantifying actual student learning in an absolute sense. This complementarity alsorests on the fact that the performance of students in HW assignments and midterm/final exams isclearly associated with their overall satisfaction about the course structure and delivery [10, 11].3 Description of the Proposed Assessment ModelThis model includes four online (3 via Google Forms and 1 via the University online surveysystem
, students carryout their plan to generate a functional prototype and demonstrate that it validates the establishedneeds. In pursuit of objective 1, the 2019-2020 course now requires ID students to leadstakeholder interviews and make concept sketches in the fall and generate the following for theproduct in the spring: a logo, a storyboard illustrating product-user interactions, and aninformative webpage. Like previous years, the 2019-2020 course year will end with a final posterpresentation and a written report in the format required for the VentureWell BME ideacompetition. To guide work allocation between subteams, instructors provided recommendationsduring lecture and/or stated in the syllabus (Appendix A) whether engineering, industrial design,or
critical to success in follow-up mechanics courses andupper-level engineering courses. Data has been collected on students’ performance onhomework, quizzes and exams, and on the students’ thoughts on learning and course delivery.Thus far, we have concluded that the use of traditional hand-written homework, frequentassessment via quizzes [1], or the Pearson Mastering Engineering [2] software for formativeassessment did not have a significant impact on students’ performance on exams. It was alsoobserved that neither traditional nor online homework scores correlated well with exam scores;however, in-class quizzes did correlate with final exam scores. More recently, using theMastering Engineering Online system, specifically the inclusion of the
23.6% 8.3% 16.5% 8.1% 43.5%the syllabus from the instructor that taught most of the course sections in the recent past, therequirements of the course are as follows. The course consist of 7 modules, 4 assignments (25%),one midterm exam (35%), and on final cumulative exam (40%). In addition, the students arerequired to read chapters from the text book and work on other hands-on exercises (without agrade). The assignments are expected to be completed on an individual basis and are due every 2-4weeks. The textbook used in the DS class is “Data Structures and Algorithm Analysis in Java” byMark Weiss [26]. The course was taught as both a F2F class and an online class. Additional studentexpectations of the
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 #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
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
Developer at a cultural institution in his home country, Greece (2000-2011). c American Society for Engineering Education, 2020 A Student Engagement Evaluation Methodology Inspired from Usability Engineering for Extracting Course Design RequirementsAbstractMeasuring student engagement inside the classroom and developing techniques forimproving it has been traditionally very challenging for educators. This research paperdescribes a student engagement evaluation model that combined data from three sources: in-class observations using the Behavioral Engagement Related to Instruction (BERI) protocol,one-to-one student interviews, and anonymous online surveys. We tested this model on ahigher-level elective
alumni, GSI, or professor, some helpful starter questions may includethe following: ● What did you study in college? ● How did you choose your major? ● What did you get involved in during your time at University that helped shape your career? ● Where do you work now and what’s your job title? ● What skills do you use from your degree at your job? ● What’s your typical workday like for you? ● What’s the most rewarding aspect of your work?If you want any in-person guidance on this, feel free to meet with anyone on the instructional teamduring his or her office hours, or feel free to email us to set up a time one-on-one. Email addressesand office hour times/locations are on the course syllabus. We look forward to
Paper ID #29904Improving student accessibility, equity, course performance, and labskills: How introduction of ClassTranscribe is changing engineeringeducation at the University of IllinoisProf. Lawrence Angrave, University of Illinois at Urbana-Champaign Lawrence Angrave is an award winning Fellow and Teaching Professor at the department of computer sci- ence at the University of Illinois at Urbana-Champaign (UIUC). His interests include (but are not limited to) joyful teaching, empirically-sound educational research, campus and online courses, computer sci- ence, unlocking the potential of underrepresented minorities
in 2007 and Ph.D. degree from the same department and same university in 2013. Her research interest includes Material behavior under Impact loading, Design and fabrication of high strain rate testing facility, Engineering Education and Engineering Design c American Society for Engineering Education, 2020 NOT Reinventing the Wheel: Product Data Management (PDM) Software Utilized as a Feedback System for Students in an Introductory Engineering Graphics CourseAbstractThis work in progress describes the application of a PDM solution to an introductory engineeringgraphics (IEG) course. PDM is one of many tools that our students will most likely encounter intheir
focuses on model-based reasoning and conservation principles (mass, energy, etc.). An NSF grant funded courserelease time for instructors and support from learning scientists in order to integrate inclusiveengineering skills into the course design.The course redesign team chose to focus on the awareness of bias and its effects on technicalmodeling. An additional goal was building interpersonal skills at the dyad and team (2-4 people)level, although this second goal is not the focus of this paper. Both goals were incorporated intothe formal syllabus and course objectives. The new learning objectives are addressed not inseparate lectures about inclusivity, etc. but via changes to the context of the analytical problemsbeing solved. For instance, a
that exceeds the University of Arkansas EnvironmentalHealth and Safety requirements.• Achieve professional development: With the knowledge gained in this course, students canwork in industry, government, or academic research environments with an understanding ofpertinent safety issues and relevant application. Necessary ancillary skills, such ascommunicating professionally about safety matters will also be developed.Table 1: Course syllabus Class Topic Description Assignments and In-class discussions 1 Introduction: What is safety? Assigned to watch the CSB video “Experimenting with Danger
) observation of five courses.The primary research method was an inventory of course materials drawn from across thecurriculum in the Department of Mechanical Engineering at the University of Colorado Boulder.The majority of those materials were collected as part of the department’s ABET accreditationprocess during Spring 2017. The accreditation process required that faculty collect a syllabus,homework, and exams from every core undergraduate course [9]. Approximately half (7 out of15) of the faculty who taught that semester also provided lecture notes or slides, with anadditional 8 faculty providing those materials retroactively. The final inventory included 15 fullcourse dossiers with a combined total of 753 course documents. Permission was obtained
in accomplishing team and instructor setcourse objectives as students who participated in teams able to meet face-to-face. The evidencegathered in the MOOCIBL platform shows that students on both types of teams were able toproduce deliverables believed to have high impact and external value beyond the classroombased on the rubric set in the course syllabus. These deliverables include: a patent application,journal and conference papers, competition awards, and invited outreach presentations, just toname a few shown in Table 2 and Table 4.The results suggest Multi-site teams are as capable of being successful as F2F-only teams. Thisis an exciting finding because it opens the possibility for students, who may not otherwiseparticipate in online
. The Instructor- Initiated Drop allows an instructor to drop a student from the instructor’s course if the student exceeds the noted attendance and/or missed assignment policy outlined in the course syllabus15. An instructor may voluntarily adopt and use the policy only through the last day that a student may drop themselves during long semesters (approximately the first 10 weeks of the semester). The policy guidelines state that if an instructor chooses to implement drops, the instructor must: Inform students on the course syllabus that they will be dropped for exceeding the unexcused absence or missed assignment limit. Specify in the syllabus the exact number of unexcused absences and/or missed
, and lab reports. It requires making the student aware of the definition ofacademic dishonesty, the employed preventative measures and consequences. The institutionitself must maintain strict adherences to its own stated policies, and support the pursuit ofgrievances.This paper presents many specific ideas that have proven to be successful in eliminating theneed of having to author and file student letters of academic dishonesty. This paper is limitedto academic dishonesty deterrents for courses completed in the traditional classroom1|Pageenvironment. The issue of academic dishonesty in an online environment, is reserved for a laterdiscussion.IntroductionThe issue of academic dishonesty in college classrooms has ramifications for many parties
reasons in and of itself.”The final course description is given in Table 2. Please see Appendix III for the full catalog entryand Appendix IV for the syllabus. Once the curriculum was developed it was time to test out thiscourse with students. The initial offering of this course was in the spring of 2019 as a one creditdirected studies for nine brave cadets who wanted to dive deeper into the topic of cyber ethics.Given the Cyber Systems curriculum was (and still is) in the process of being deployed, therewere some challenges to the first “test drive” of this material. For example, some of the studentshad not previously completed the Introduction to Moral and Ethical Philosophy course.Additional peculiarities include the fact that it was taught by
development, areas of greatest mastery and greatest confusion, andcommunicate their understanding to the instructor. A literature review of both homeworkstrategies and classroom assessment techniques shows the development of the dual-submission-with-reflection homework methodology. The instructors administer the methodology throughsyllabus explanations, coversheet templates, and online learning management systems.Instructors discuss the effectiveness, benefits, and drawbacks of the methodology. Results fromstudent surveys illustrate the effectiveness of each component of the dual-submission-with-reflection homework methodology.KeywordsHomework, Instructor Perspectives, Student PerspectivesIntroductionHomework in engineering courses serves many
both of these areas. He has implemented online instructional tools to enhance student experience in hydraulics and hydrology courses.Dr. Ken Rainwater, Texas Tech University Dr. Ken Rainwater is a Professor in the Department of Civil, Environmental, and Construction Engineer- ing at Texas Tech University. Rainwater has 34 years of experience in water resources and environmental engineering. He teaches courses in fluid mechanics, environmental engineering, engineering hydrology, water systems design, groundwater hydrology, groundwater contaminant transport, and water resources management. His research expertise is in problems of groundwater quantity and quality, remediation of soil and groundwater contamination, and
elective includeslaboratories. Therefore, the first step of reviewing a program is examining the programrequirements and catalog to determine how many general education, engineering requirementsand electives are required of students. This classification is referred to as requirement type.2.2 Selecting Catalogs for ReviewAfter the courses in a program have been categorized by requirement type, a set ofinclusion/exclusion criteria was applied to guarantee that programs in the review were suitablefor statistical analysis. The criteria were: 1. EXCLUDE IF: The program does not provide a syllabus with course descriptions and requirements for the engineering discipline being considered. 2. EXCLUDE IF: Course descriptions are absent to a
Computer Engineering. c American Society for Engineering Education, 2020 Lessons Learned Using Slack in Engineering Education: An Innovation Based Learning ApproachAbstractIn Fall 2019, we taught a Cardiovascular Engineering course using a blended approach: a mixbetween online instruction and face-to-face environment. This course is an interdisciplinaryInnovation Based Learning (IBL) class that combines both undergraduate, graduate students,face-to-face and distance education students from different institutions. To foster studentcollaboration, we decided to use Slack for both instructor-to-student and student-to-studentcommunication. This paper explores the impact of Slack on the
lauren.n.singelmann@ndsu.edu enrique.vazquez@ndsu.eduAbstractWe present a distributed, scalable, student-driven method for both defining a set of projects andsubsequently assigning students to project teams. This process has been implemented within amixed online/in-person multi-university course comprised of both undergraduate and graduatelevel students who are predominantly, but not exclusively, pursuing engineering degrees. OurInnovation Based Learning (IBL) course seeks to provide students with maximum freedom andresponsibility for their own learning; we seek to radically rethink and reduce the organizationaltasks normally performed by the instructor. Re-assigning these tasks to the students creates newopportunities to learn soft skills such as
more severe. Onecurrent type of violation is contract cheating, first coined by Lancaster and Clarke in 2006, whichinvolves paying a third-party to complete an assignment instead of the student enrolled in theclass [4]. Some researchers have even discovered “ghost students,” in which a fee is paid foranother person or company to enroll in an online course for an entire semester on behalf ofsomeone else [5]. Even though contract cheating and ghost-students are extremely severeviolations because of the awareness of the deviousness of the act, the underlying motivations forthese types of violations often reflect the same causes as other forms of academic integrityviolations [4].Students have cited a variety of motivations for engaging in academic
Senior Design project model, it was an elective for the architecturestudents, and the civil engineering students enrolled in a separate Civil Engineering SeniorDesign course with a separate syllabus. The faculty leader had to navigate the varyingrequirements, values, and deliverables of each course. It was intended that each discipline withinthe team would have a faculty mentor within their department to answer more detailed questionsand to receive critiques, but for many teams that did not happen. To further complicate theprocess, due to students’ varying schedules, meeting times were set by the students just once aweek for one hour. Larger teams were not able to establish an overlapping hour within the week,so they were divided into sub-teams
design. The University Curriculum Committee approved the request to change thecontact hours for Structural Analysis from 3 hours of lecture per week to 2 hours of lecture plus2 hours of laboratory per week to accommodate the experiential aspects of these proposedchanges. After assessing the changes to the Structural Analysis course, we will decide whether tomake similar changes in the class meeting times for the Structural Design courses.The Structural Analysis course syllabus lists the following broad goals for the course: a) Students will develop technical skills in classical methods for analysis of determinate and indeterminate structures. b) Students will gain proficiency in analysis structures comprised of trusses, beams, frames
host a“Fishbowl” activity [1],[6], where they discussed the results with the engineering faculty andgained more detailed information on what the baseline course content should be. Mathsubsequently cut a few sections from the syllabus and they meet with the partner disciplinesevery semester to discuss progress, further specify the emphasis on applications and what thatmeans in the context of a math course aimed at students who have not had substantive training inengineering yet.Math-Engineering Summit, Fall 2017: In the fall of 2017, the Math department hosted ameeting with engineering, where all engineering faculty were invited to attend informationsessions as well as observe the first implementation of discipline-specific applications in
three areas in which I believe graduate students will benefit most: developing coursematerials, in-classroom experience, and receiving feedback. For developing course materials, Ifound meeting with my faculty mentor before the semester began to discuss the syllabus and courseevolution was helpful for seeing how past experience can be used to continuously improve a course.Meetings with our supervising professor and graduate student peers were opportunities to brainstormand refine my ideas for in-class activities. Also as a result of our meetings and reflective writing, Iwas able to ensure that each activity could be mapped to the learning objectives. For example, thein-class worksheet for my instrumentation lecture was a tool for students to