graduation.Tracey…has had a lifelong interest in electronics which led him to study engineering and toeventually be a lead participant in SPU’s robotics club. Tracey has a learning disability which isan impediment and necessitates that he set aside more time for assignments than his peers. Hehas learned to compensate, however, and is making solid progress toward his engineering degree.He plans to attend an engineering conference this year or next to make more connections withother engineers in robotics. His path has been a bit jagged, but he expects to graduate a yearfrom now.Discussion – lessons learnedAs the vignettes illustrate, ECASE students can have significant financial need, significant family responsibilities, limited effective study habits, and
, I guess ... Part of the thought process that came in was when I had that one light bulb that didn't work, um, and I needed to make sure that, uh, it could; but everything other than that was very step by step, and very methodical. Um, I didn't really do a lot of trial and error until I came up with an error, and then I had to try to fix it.”Participants in the physical condition, however, described a more structured approach usingphrases such as “being organized,” “following instructions,” and “planning.” Participants in thecomputer environments appeared more comfortable with a less structured approach makingstatements such as “…and then if I didn't, then, you know if it didn't work then I would just haveto play around
Engineering Education Studies looking into the reasons students complete or leave a major, indicated students wholeft STEM-related majors had negative learning experiences, whereas students with intentions topursue a career in science persisted despite the negative experiences [19].MyCollegeOptions.com, a popular free college-planning program, did a survey of high schoolstudents that showed increased interest in STEM. Since 2007, White, Hispanic and NativeAmerican interest has increased while African American has remained constant and AsianAmerican interest has gone up and down. Figure 4 shows percentage of interested parties bygraduating classes from 2007-2016. As interest in STEM increases, the hope is more URMs willcontinue to pursue their
executive function impairments measured by the Brown testare: 31 Activation: Have difficulty organizing tasks and materials; difficulty estimating time andprioritizing tasks; and trouble getting started on work Attention: loses focus when trying to listen or plan; easily distracted–internal/external; andforgets what was read and needs to re-read Effort: difficulty regulating sleep and alertness; quickly loses interest in task, especiallylonger projects; and difficulty to complete task on time, especially in writing Affect: emotions impact thoughts, actions too much; frustration, irritations, hurts, desires,worries; “Can’t put it to the back of my mind” Memory: difficulty holding one or several things while attending to other tasks
audience of CS2is underclassmen who are planning to pursue a major in Computer Science and Engineering.Other popular majors of CS2 students include Business Administration, Economics and Statistics,as well as others working towards a Computer Science Minor. The only enforced prerequisite forthe class is an introductory programming course taught in C++.CS2 focuses on core computer science concepts and covers four major topics. First, functionalabstraction, including specification, recursion, iteration, and functional generalization. Second,data abstraction, including types, type hierarchies, abstract data types, abstraction andpolymorphism. Third, dynamic resource management, including creation, deletion, andinteraction with containers. Finally
. Faculty perceptions seem to begenerally positive from the Calculus I reform1 and we will continue to monitor this. We willcontinue to rigorously analyze student performance by looking at course grade performance andpost-requisite course performance. We plan to also begin to monitor student performance incertain engineering courses for which Calculus I or II are prerequisites (Statics and Dynamics).AcknowledgmentsThis material is based upon work supported by the National Science Foundation under GrantNos. DUE-0856815 (Idaho STEP), DUE-0963659 (I^3), and DUE-1347830 (WIDER). Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science
, to their classes. How do they learn to do thesepresentations, and how do they know if they are communicating effectively? This is where peerreview can help.This paper provides a summary of the limited literature on peer review of oral presentations,including information on rubrics and other tools available to conduct peer reviews. Thesummary is followed by detailed descriptions of three contexts in which peer review has beenemployed to improve engineering graduate students’ oral presentations. The paper concludeswith a discussion of what was learned in those three contexts and plans for future studies of peerreview of oral presentations.Literature ReviewAlso known as peer evaluation or assessment (although sometimes these words may
(.00) 0/12 (.00)Question 3 01 2/11 (.18) 4/11 (.36) 8/11 (.73) 0/11 (.00) 2/11 (.18) 02 9/14 (.64) 7/14 (.50) 10/14 (.71) 0/14 (.00) 1/14 (.07) 03 5/12 (.42) 4/12 (.33) 10/12 (.83) 0/12 (.00) 5/12 (.42)Next Steps With the preliminary findings of the study, the following steps are proposed for the nextstage of the project: o Given the positive feedback on futures thinking in the cornerstone course, further development of more teaching modules should be planned while teaching manuals should be written for the current modules. o The differences in design tasks between the two parts (i.e., the Case Study and Design Studio) weakened the
lack of SOP background and the potential considerable timeinvestment on learning the topics made them hesitate to teach them right away. Studentlearning experience and performance can also be suffered by an instructor's insufficientSOP expertise, which was indicated by the collected assessment data.Second, for a low-level programming class, such as CS2 and PLC, the teaching scheduleis usually already designed to cover its topics. This means a limited buffer, especially interms of lecture times, for adding new topics. This adds uncertainty to the deployment ofcourse modules even after an instructor plans to teach SOP in his or her class.Third, for a large CS program, it is common that multiple sections of a programmingcourse, are offered in the
to choose5. How would you rate your interest in Computer Engineering on a scale of 1-5? (5 being the highest)6. Do you plan to pursue gradate studies in Electrical or Computer Engineering?Knowledge assessments: Familiarity7. Of the following words, please mark all those that you are familiar with - Logic Gate - Boolean Logic - Arithmetic Logic Unit - I/O Port - D Flip-Flop - CPU Registers - Hexadecimal - CMOS - Register File
additional affirmation that responses will not impact grade) probe: How could the course have improved to meet those expectations?Describe your experiences with engineering before this course. probe: Remind interviewee that talking with engineering majors about their major is anexperience with engineering.How has your engineering literacy changed through this semester, especially regardingengineering knowledge, attitude, and abilities? probe: Negative change is okayHow do you see engineering as a component of your life outside of academic circles? prompt: How to you plan to use what you’ve learned in this class later? What area(s) of life does/might it appear?
Survey in active learningclassrooms to better gauge the different types of responses in other active learning classrooms. Inthe next phase of our study, we plan to collect data from introductory engineering courses across20 institutions in US. These 20 courses will provide a diverse set of classrooms differing inseveral aspects including but not limited to institution type, implemented active learningtechniques, and class size. Further data analysis will use factor analysis, correlations, andregression modeling to tease out what factors influence a student’s response to an in-classactivity, and this type of data analysis will combine courses together to try to accurately modelstudent responses.AcknowledgementsThis project is funded by the U.S
, instructors will beable to have a concise and easy implementation plan to improve student satisfaction andmotivation in the classroom, creating a better educational experience for both the students andthe instructor. Once the factors that most significantly influence student motivation andsatisfaction were identified, an implementation model was created and tested. The “Interact,Cultivate, and Deliver” method, also known as the “I-C-D” method, implements the elevensignificant factors found across the three ordinal logistic regression models in a succinct mannerfor instructors. A pilot study of this method was implemented into an IE classroom and it wasfound that when the significant factors were implemented into the classroom, the satisfaction
Agree Agree Agreeh. I rarely find time to review my notes or readings before an exam 13. Effort Regulationa. I often feel so lazy or bored when I study that I quit before I finish what I planned to do.b. I work hard to do well even if I don’t like what we are doing.c. When course work is difficult, I give up or only study the easy parts.d. Even when course materials are full and uninteresting, I manage to keep working until I finish 14. Peer learninga. When studying for a class, I often try to explain the
with LEGO Mindstorms software and Excel. Thesoftware allowed the teams to program the robots, collect the data, plot a graph and come upwith a hypothesis about the time the robot would require to traverse an arbitrary distancespecified by the faculty and/or an undergraduate student leader. The teams who did the mostaccurate predictions won prizes. After the competition ended time was allotted to reflect on theexercise and the lessons learned.In the last part of the orientation, students watched some highlights from videos related to robotapplications previously collected by the faculty and the undergraduate students planning theorientation. A magazine article15 related to humans and robots interaction was provided as areading. Freshman engaged
other departments (especially computer science and mathematics) to meet the teaching objectives.Main Step 2. Research and Development: Fault analysis is an active sub-variant for side-channel attacks. In such implementation attacks, faults are injected maliciously (attackers want toinject transient faults not to break the system, so their plan is intentionally injecting faults intothe architectures of crypto-systems to retrieve as much leaked sensitive information as possible).With respect to IWMDs, for instance, a pacemaker containing an embedded hard processor, hightemperature, unsupported supply voltage or current, excessively high overclocking, strongelectric or magnetic fields, or ionizing radiation, are all the ways to
, and seminar courses. First, faculty actively strove to help the students embracefailure. Second, students on each design team were required to weekly record both completedtasks from the previous week and planned tasks for the next week. Finally, students wereallowed to evolve the requirements of their project as a function of time. These interventionsdiffer from traditional approaches where failure is often discussed as something to avoid, teamscreate detailed Gantt charts early in a project but fail to adhere to or update the schedule, andproject specifications are established in stone soon after the commencement of the project.Faculty encouraged an open discussion of failure in several ways including dedicating seminartime to discussing the
engineering.Samuel Lozano, Oregon Institute of Technology Civil Engineering student at the Oregon Institute of Technology (OIT) with a primary interest in trans- portation and transportation structures. Is planning on attending graduate school at OIT, studying struc- tural health monitoring of bridges. Has previously worked on projects involving strain testing of a light rail bridge at the University of Nebraska-Lincoln and a streetscapes redesign project for the city of Klamath Falls, OR at OIT.Dr. Sean St.Clair, Oregon Institute of Technology Sean St.Clair is a Professor and Chair of the Civil Engineering Department at Oregon Tech, where he teaches structural engineering courses and conducts research in engineering education
. Wankel & R. Hinrichs (Eds.), Transforming virtual learning: Cutting-edge technologies in higher education (Vol. 4, pp. 311- 331). Bingley, UK: Emerald.[12] Lansiquot, R., & Cabo, C. (2010). The narrative of computing. In Proceedings of World Conference on Educational Media and Technology 2010 (pp. 3655-3660). Chesapeake, VA: AACE.[13] Lansiquot, R. D., Satyanarayana, A., & Cabo, C. (2014). Using interdisciplinary game-based learning to develop problem solving and writing skills. In Proceedings of the 121st ASEE Annual Conference. Washington, DC: ASEE.[14] Rist, R. S. (1995). Program structure and design. Cognitive Science, 19, 507-562.[15] Spohrer, J. C., Soloway, E., & Pope, E. (1989). A goal/plan analysis of
large and small groups of high school and college students, and aspart of professional development activities for engineers and scientists. The EnSURE studentswho completed this exercise at MSU in 2015 found the experience to be an engaging and helpfulway to explore some of the ethical considerations of data collection, and the instructor plans tocontinue offering the lesson in future EnSURE programs. This paper includes the handouts andcase studies used in this summer program, and interested educators are encouraged to adapt themfor their own use.One challenge of conducting this seminar with nearly a hundred students is that scale does notlend itself to in-depth conversations about the case studies included in the appendix. Students diddiscuss
..SOURCES CITED Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.Bandura, A. (1971). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2), 191–215.Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/847061Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of Human Behavior (pp. 71–81). New York: Academic Press.Bazerman, C., Little, J., Bethel, L., Chavkin, T., Fouquette, D., & Garufis, J. (2005). Reference Guide to Writing Across the Curriculum. (C. Bazerman, J. Little, L. Bethel
deeplearning, instruction being driven by a central problem or case and the instructor primarilyfacilitating the process of learning, the many methods listed for use with PBL should provebeneficial in the case of PrBL as well. For project based activities to be truly effective, educators need to ensure thatreflective learning is facilitated so that students can truly learn from the process5. Thus,assessment is an integral part of the learning cycle and occurs both during and at thecompletion of the project6. Instructors should plan for both formative and summativeassessment as part of the course. That is, they need to collect and act on information thatwill help students improve as they proceed, and they need to have measures that showwhat
key questions raised in the Drucker reading about the kinds of organizations that bring out your best capabilities. Specific issues to address here include: What kind of career do I want and why? How does this career align with my values, strengths, and other skills outlined above? What kind of organization do I want to work for to begin this career? How does this kind of organization align with my strengths? XI. My development plan. The previous sections of the paper provide an honest appraisal of “who I am” and “who I can become”. This section addresses the question, “what I am going to do get
Yes Testing def and uses and how to perform all uses testing. LO#7. All Def- Give an introduction to the definition of 7 5 No Uses path testing def and uses and how to perform all uses testing. LO#8. Statement Give an introduction to the definition of 5 5 No Coverage coverage. Others Mobile app testing techniques and tools 10 10 No (Android and iOS). Proceedings of the 2016 ASEE Annual Conference Other than the developed learning objects (LOs) and those being developed, shown inTable 1, we plan to develop more learning
undergraduates of all class ranks that are enrolled in an introductoryengineering course within a first-year engineering program.Literature ReviewValue of educational technology. As previously mentioned, in prior studies, students havereported positive perceptions of educational technology as it relates to their learning,involvement and connectedness. For example, in an EDUCAUSE Center for Applied Research(ECAR) study of 10,000 U.S. students at 184 colleges/universities, over two-thirds of individualsbelieve technology “helps them achieve their academic outcomes,” “prepares them for futureeducational plans” and “prepares them for the workforce.” 2 Over half of all participants believethey are “more actively involved in courses that use technology” and
- fessional careers. This research brought her to the disparity of spatial visualization intelligence between women and men. She transferred into the Engineering Department as the Coordinator of Recruitment and Retention at the community college, working with faculty and students to devise a way to increase spatial visualization in all students who wanted to be engineers. Ms. Daniel was instrumental in securing a grant from the American Association of University Women to create a one-day hands-on STEM conference for 100 middle-school girls and their parents in 2014. Since receiving that grant, the Virginia Beach Branch of the AAUW has continued planning and implementing this conference. Ms Daniel is in her second term of
components early.The benefit probably does not justify the inclusion of the PID lab into this course however, thereare some other options. The lab could be included in one of three other classes. Our curriculumincludes an automation class, a robotics class, and an elective PLC class. In addition, we arestarting and ATMAE Robot Competition Course for spring of 2016-17.The current plan is to include the PID lab in the ATMAE Robot Competition Course. There arefewer students, three teams of five, and the students can use the control skills in the RobotDesign Course.Bibliography[1] Arduino S.r.l. , "Arduino," 2016. [Online]. Available: http://www.arduino.org/. [Accessed 2016].[2] B. Ray, "An Inexpensive Control System Experiment: Modeling, Simulation
, 2017)In the years since its inception, the MPD program has enriched its subject matter to better serveits students (typically mid-career engineers at Detroit automotive OEMs). The curriculumcurrently includes the following courses:Required courses: MPD 5050 Systems Architecture MPD 5100 Systems Engineering MPD 5200 System and Project Management MPD 5300 System Optimization MPD 5350 Organizational Processes MPD 5400 Finance and Managerial Accounting MPD 5450 Marketing Management MPD 5500 Operations Management MPD 5600 Product Planning & Development MPD
Privately-fee paying 59.8% 74.6% schoolData Analysis Plan Concerning the qualitative data analysis, two reviewers codified the transcripts of thesemi-structured interviews in NVivo, and peer-checking was used to guarantee consistency.Concept maps were developed to reduce information and clarify themes, codes and categories. Adata matrix was obtained to inform the development of the quantitative instrument. Although wecannot generalize findings, there is evidence from different actors to address internal validity. Regarding the quantitative data analysis, 18% of the sample answered the quantitativeinstrument
advance a student’s cognitive ability to analyze and evaluate a problem, not merely tomemorize a method and apply it blindly to any problem of a particular topic.Building Fundamental Understanding of Mathematics Through ProofsMathematical concepts are grounded on established mathematical logic, axioms and proofs. Theprescriptive method of teaching mathematics often omits proofs, although axioms may beemphasized. Many engineering instructors who may also cover mathematical topics omit proofsso that they can stay on schedule with the material that they have planned to cover over thesemester, and also focus on the application of formulas and equations to specific problems. Someinstructors also believe that examples and applications will suffice to