academic courses. • Students will become aware of University campus resources.Topics covered during the course include, (a) Self-assessment and Monitoring Tools, (b) TimeManagement and Organizational Skills, (c) Stress Management, (d) Decision-making, (e)Academic Skills and Strategies, (f) Computer Skills, and, (g) Locating and Accessing CampusResources.The course requires weekly attendance and participation, and includes both individual and groupassignments. Student journaling is a central theme in this course as a mechanism to promoteproactive thinking as well as reflection. Aside from daily assignments students are required tohave two detailed academic coaching sessions with faculty members. These sessions are used toobtain feedback on class
of a perceived social elementinclusion, (b) changes in learning from the perspective of the reviewer rather than the receiver offeedback, and (c) improvement in perceived information literacy. Additionally, this researchexamines Canvas attributes as identified by Sondergaard & Mulder(1) (2012) of (a) Automation,(b) Simplicity, (c) Customizability, and (d) Accessibility, which support statements from theliterature that indicate a lack of investigation of more modern peer review tools. Survey results,both qualitative and quantitative, were analyzed across three different peer-reviewed assignmentsfor this examination. Of the 91 respondents, representing a 32% response rate, descriptiveanalysis revealed themes ranging from Changes in Student
Female [n (%)] Male [n (%)] Non-White [n (%)] White [n (%)]A (n=9) 2 (22.22%) 7 (77.78%) 3 (33.33%) 6 (66.67%)B (n=27) 9 (33.33%) 18 (66.67%) 8 (29.63%) 19 (70.37%)C (n=22) 7 (31.82%) 15 (68.18%) 11 (50%) 11 (50%)D (n=6) 1 (16.67%) 5 (83.33%) 3 (50%) 3 (50%)F (n=8) 1 (12.5%) 7 (87.5%) 3 (37.5%) 5 (62.5%)Total (n=72) 20 (27.78%) 52 (72.22%) 28 (38.89%) 44 (61.11%)Research Question 1: How does engineering math performance relate to students continuing atthe university and into an engineering major?Information related to
eligible)took advantage of the program based on the program survey compared to 37 in the previousacademic year (a 27% increase). Of these, 17 were electrical engineering majors compared to 11in the previous year (a 54.6% increase). B2B FALL 2006 SUBJECT COVERAGE TUTORS MON TUE WED THU FRI A 8:00AM B 9:00AM PHYSICS MATH C 10:00AM PHYSICS MATH D 11:00AM MATH
worksheetlearning goals and the concepts being taught. From reading the responses, some distinct learningtrends appeared.Activities 1&2 responses are shown in Figure 3. With Activity 1, most students were aware of,and could list examples of either the S.I. units, U.S. units or both systems, but they struggled toexplain or define the concept of a dimension (code B). In addition, they could not explain therelationship between dimensions and units (code C). The students felt the first activity really taughtthem to define the terms, compare the terms and explain their importance. For Activity 2, themajority of students could list some fundamental units (Code E). Student’s main mistakes werecalling “weight” a fundamental dimension instead of “mass.” Also
Page 24.612.6 7 Durability X 8 Easily storable/ assessable X X 9 Ability to effectively rake leaves X Table #2 – Customer needs specifications (An example of a student’s work.)See the matrix below to convert the customer needs to metrics: Concepts A B CMetric Collect in # Selection Criteria Pull rake bag Compress 1 Heavy raking head + + + 2 Total mass
in Chemistry, it would seem that theACT Science would be a good predictor. For this data discussed in this report, the ACT mathwas a better predictor than the ACT Science so the discussion is limited to the ACT math andSAT math tests in the remainder of this report.ACT Literature ReviewA literature review was conducted of research papers published on the ACT website. ACTresearchers have published a significant research paper showing that the ACT math cut- pointscan be used to predict the success of students in Calculus. In their study including a largenumber of colleges, ACT researchers established an ACT Math cut-point of 27 for studentshaving a 50% chance of earning a B or better in the first college calculus course and a 75%chance of
your mentor?’ question is summarized in Figure 1. In thisquestion, the students who answered ‘yes’ were prompted to write down their peer-mentor’sname. Due to the diverse nature of our student population and peer-mentors, all of the resultsfrom this section with or without proper spelling of the peer-mentors’ names were consideredvalid. Those who did not remember their peer-mentor were given a list of names to pick from ina follow up question. Figure 1 only illustrates the results for the ‘Do you remember yourmentor?’ question without prompting to choose a name from a list. (a) (b) Figure 1: Percentage of the students remembered their peer-mentor’s name - TA or
,analysis of how assignments progress over time (process mining), and generating automaticfeedback to engineering students.11 Cloud-based documents like Google Docs have been used forcontinuous formal assessment.12,13This study presents the use of Google Docs in a large lecture environment (approximately 230students in each lecture) for bi-directional feedback on open-ended first year engineeringactivities. In this approach, the instructor may (a) observe the process students go through inaddressing a presented problem, and (b) pick out samples of student work while students areworking, rather than waiting until students have submitted it. The instructor can then presentsamples of work to the class, and provide feedback. This approach allows the
errors on two of the instructor’s course sites. In total, thisanalysis includes responses from 341 out of 616 students (55.5% response rate) enrolled in 12course sections taught by 6 different instructors using PROCESS. This sample of students wasused to evaluate the student learning outcomes and perceptions of the course and the PROCESSrubric. Instructors and graders completed a similar survey about the PROCESS rubric. Seveninstructors and 5 graders completed the survey.Sample PopulationThe distribution of final course grades of student survey respondents was representative of thedistribution found overall. The sample population has a slightly higher response rate fromstudents earning A or B grades and a slightly lower response rate from
Engineering Experience (FYEE) Conference, Pittsburgh, PA, August 8-9, 2013.6. Yoon, S., Imbrie, P., Reed, T., “First Year Mathematics Course Credits and Graduation Status in Engineering,” 6th First Year Engineering Experience (FYEE) Conference, College Station, TX, August 7 – 8, 2014.7. Tewari, D., “Is Matric Math a Good Predictor of Student’s Performance in the First Year of University Degree? A Case Study of Faculty of Management Studies, University of KwaZulu-Natal, South Africa,” Int J Edu Sci, Vol 8, No. 1, pg. 233-237, 2014.8. Hamlin, B., Riehl, J., Hamlin, A., Monte, A., “Work in Progress - What are you thinking? Over Confidence in First Year Students,” 40th ASEE/FIE Frontiers in Education Conference, Washington, DC
of the Arduino boards are published under a Creative Commons license. 2. Arduino Uno Platform There are a wide variety of Arduino boards [2], in this class we used the Arduino Uno which is ahigh-performance 8-bit RISC-based microcontroller. The Arduino Uno has 14 digital input/output pins, 6analog inputs, a resonator, a USB connector, a power, and a reset button. It has everything needed tosupport the microcontroller. a) Power: The Arduino Uno can be powered via the USB connection or with an external power supply (AC-to-DC adapter or battery). Leads from a battery can be inserted in the Gnd and Vin pin headers of the power connector. The board can operate on an external supply of 6 to 20 volts. b) Input
No visible or functional damage 4 30-34 mph Light to medium cosmetic damage, no functional damage 3 25-29 mph Heavy cosmetic damage and/or minor functional damage 2 20-24 mph Small piece chipped off and/or medium functional damage 1 14-19 mph Large piece broke off and/or significant functional damage 0 < 13 mph Unable/unsafe to operate againTable 2. Performance score relation to grade Performance Grade Total Performance Score A >30 B
Duke University and a Master’s degree in journalism from the University of California at Berkeley.Cheryl Schrader, Boise State University Cheryl B. Schrader is Dean of the College of Engineering and Professor of Electrical and Computer Engineering at Boise State University. Dean Schrader has an extensive record of publications and sponsored research in the systems, control and engineering education fields. She recently received the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring from the White House for an enduring, strong, and personal commitment to underrepresented engineering students and faculty
properties. Any change in an extensiveproperty within the system can be accounted for by counting the amount of the extensive propertytransported across the system boundary and the amount generated or consumed inside the system[18].Given a generic extensive property B, e.g. mass or energy or momentum or charge or entropy, it ispossible to write a general accounting principle for any system. In its simplest form, the finitetime version of the accounting principle is very intuitive and can be written as: Amount of 𝐵 Amount of 𝐵 Amount of 𝐵 Amount of B Amount of 𝐵 Amount of 𝐵 inside inside transported transported generated consumed system − system = into system − out of
interviews weregiven $20 for their participation.This paper uses a collective case study methodology to explore the motivations of those studentswe define as “accidental engineers,” those who began their studies in a non-engineering majorand subsequently switched to an engineering major. The collective case study is an “instrumentalstudy extended to several cases which…may not be known in advance to manifest the commoncharacteristic,”8 in this case being accidental engineers. Quotations have been modified toimprove readability by deleting verbal crutches, such as “um” and “you know” and false starts,and edited for clarity. We have assigned pseudonyms to the students, advisors, MIDFIELDschools (A-State, B-State, C-State, D-State), and programs to
instructional designer, a web technologist, and threeinstructors teaching the on-site version of this course offered to mechanical, aerospace, electrical,and chemical engineering students at ASU Tempe campus. The development of this course tookabout two months over the summer of 2013 for the course to be launched and taught during thetwo 7.5 weeks of 2013 Fall A and B sessions. First, overall course structure and coursecomponents were discussed and determined; then delivery method and content for eachcomponent was designed, developed, and implemented; finally the course shell (viaLearningStudio, the university’s online course management system) was assembled andfinalized. During the process, a team based design project topic was also selected and the
Bhad the highest gains in self-efficacy while Team A had the lowest gains. Team B also had thehighest cumulative course grade.Table 1. Descriptive Statistics for Teams Case Team Team Normalized Self-Efficacy Cumulative Team Grade Name Size Gain of the Team Mean (SD) Mean (SD) Bryan’s Team Team B 4 .46 (.26) 88.32 (5.02) Eric’s Team Team E 3 .33 (.16) 82.99 (1.21) Alex’s Team Team A 4 .31 (.22) 87.12 (5.84)Table 2 shows scores for individuals. Bryan started with the lowest
the identified problem.Week 13: The activity described below occurred.Step 1 - Process analysis and application: Each team was provided a handout depicting Tool 1(Table 1) and Tool 2 (Figure 1). Each team was asked to (a) Describe two similarities between the processes of problem solving and design. (b) Describe two differences between the processes of problem solving and design (c) Recall that during the previous class, they were asked to solve a problem that their team was having within their design process. For the case study, they were asked to analyze what things seemed different during the problem solving experience that hadn’t been occurring during the design experience.Observations taken by facilitators
and second year core science, math andcomputer science courses. The SAS program was charged with providing effectivetutoring that created a strong foundation for courses that followed in the engineeringcurriculum. The goals of the program were to help engineering students successfullycomplete first and second year engineering coursework. The SAS program employedstudents who earned a 3.0 cumulative GPA and successfully completed tutored courses,receiving a grade of either an A or B in the course they were hired to tutor. The criterionfor selection of SAS tutors was determined with input from students, faculty and staff.We wanted tutors who were highly successful in the course but were concerned that if weonly included the highest achievers
alignment with the screencast topics; this isreversed for negative polarity prompts.)Table 4. Survey prompts: APSC 100 survey prompts used to assess screencast impact. Screencasts Prompt Polarity Prompt text assessed Being able to complete an activity easily and without errors is a sign you A + 3,4,5,8,9 are NOT learning from that activity. B + 1 People have the ability to change how intelligent they are. It is better to go to bed on time the night before an exam rather than lose C + 6
studentsAn overwhelming majority of the students felt that they were adequately prepared (81.3%) forthe first college math course, and on a scale of 1-10 they rated their math skills between 7 and10. They probably had reason to be confident since 82.5% had received a grade of either an A ora B in their last high school math course, as they had reported. Yet, roughly a third of thestudents surveyed reported that they had to repeat a math course in college. Calculus I andCalculus II were the two courses that were repeated most often with 31.4% of students reportingthat they had repeated Calculus I and 36.2% had repeated Calculus II.Perhaps a sampling of the responses to the survey question, “What was the biggest challenge inthe first math course that
An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.Student SurveysStudents from the four groups shown in Table 3 completed anonymous surveys. Groups A and Cstudy engineering and groups B and D study engineering technology. Groups A and C are fromthe same institution and B and D from a different one. All students have completed an“Introduction to Engineering” course. Group D are transfer students from a two-year college,where they have already been introduced to engineering. All student groups are interdisciplinaryand mutually exclusive.Table 3: Surveyed student groups Group Program Class Standing Population, N A
, etc.), corresponding 1 Table 1: Grade point scale for CMU. Grade Point Grade Point A 4.00 C 2.00 A- 3.67 C- 1.67 B+ 3.33 D+ 1.33 B 3.00 D 1.00 B- 2.67 D- 0.67 C+ 2.33 E 0.00retention rates, and where the unretained students are going. In the following sections, wepresent and discuss a program overview, general retention rates
Skill SE 4.48 4.56 4.17 4.17 4.57 4.98a,b,c Tinkering 4.27 4.34 3.64 3.79 4.60 4.84b,c SE Design SE 3.70 3.96a 3.35 3.96a 4.64 4.75b,c Teamwork 4.83 4.80 4.62 4.59 4.95 5.10b,c Career 4.42 4.92a 4.38 5.07a 4.84 4.87 a Difference between pre- and post- CBIE, CBIE-civil, or PBIE population mean ranks, respectively, p ≤ 0.05. b Difference between post-PBIE and post-CBIE population mean
almost universally viewed as a good thing” 8.A new innovative approach has been developed to increase engineering student success andretention by linking student development focused first-year engineering courses and a projectcalled “Design Your Process of Becoming a World-Class Engineering Student”. It is importantto emphasize the “engineering” student development focused first-year courses to distinguishfrom general student development focused courses. The first-year engineering courses at theUniversity of Alaska Anchorage and Oregon State University were developed after the modelpresented by Raymond B. Landis who outlines five cornerstone objectives which will benefitengineering students: 1) improve their peer environment; 2) teach them
directly reduces time for other material.However, in future iterations, we plan to leverage the design reviews to have teams practice theirpublic speaking and critical thinking skills by having the review take place with another team.The vision is to have Team A present their design to the instructor and Team B. Team B wouldget exposure to another design and be challenged to point out areas that need further thought andrefinement. After the first half, the roles would swap and Team B would present to Team A.Summary and conclusionsThroughout this paper, we highlight the successes and areas for future improvements based onthe development of a semester-long design project. The project, working on a small team todesign and build a digital balance from
loaded P ε = δ/L (in./in.) deformation (a) (b) (c) (d)Figure 4: (a) Axial load experiment. (b) Internal material and normal stress. (c) Stress-strain andelastic behavior. (d) Elastic-plastic behaviorBased on the discussion given above, stress and strain are recognized to be normalized forms offorce and deformation, respectively. Plotting stress verses strain yields a graph that ischaracteristic of the material, and not the size and shape of the test specimen. This leads to thedevelopment of the stress-strain diagram for steel. As the specimen is loaded the deformation
. Student mastery is trackednumerically and illustrated by filling in appropriate sections of the student’s progress pie chart.Faculty and graduate assistant time is available to help students with any content topics, asneeded, and the student’s grade is based completely on mastery of the pre-calculus topics.Students who master 90% or more earn an A, 80% or more earn a B, 70% or more earn a C, 60%or more earn a D, and below 60% earn an F in the mid-semester math course. As a benefit to theinstructor, ALEKS tracks each student’s assessment records, the total time s/he spent in thecourse, and the average number of hours spent each week. Instructor time is spent answeringdirect student questions about content and sending email reminders and
developing undergraduate engineering degree program. International Conference on Engineering Education – ICEE 2007. September 3 -7: Coimbria, Portugal.Backer, P. (2007). Technology And Gender Issues: Development And Assessment Of A Freshman General Education Course In The College Of Engineering. American Society for Engineering Education Annual Conference and Exposition. June 24-27: Honolulu, Hawaii.Behrens, A.; Atorf, L.; Schwann, R.; Neumann, B.; Schnitzler, R.; Balle, J.; Herold, T.; Telle, A.; Noll, T.G.; Hameyer, K.; Aach, T. (2010). MATLAB Meets LEGO Mindstorms—A Freshman Introduction Course Into Practical Engineering. IEEE Transactions on Education 53(2): 306-317.Carberry, A., M. Ohland, C. Swan (2010), A