. Table 1. Grading Scheme Individual Individual Readiness Assurance Test (iRAT) 10% Quizzes and Exam 20% Journal Reflection 20% Team Team Readiness Assurance Test (tRAT) 5% Design Project 45% Total 100%Two peer evaluations were conducted using CATME. One was around week 9 into the semesterand the other was at the end. The peer evaluation let the students evaluate both themselves andother members on
cause of this engagement problem is not complicated; public speaking has been a top fear ofpeople in the United States for years, often anecdotally but also in a more documented sense,most recently in Chapman University’s “Survey on American Fears,” where public speakingplaced fifth (9.1%) just behind “Being [a] victim of mass/random shooting” (also 9.1%)1.Another persistent problem is lack of experience. As much as any other ability, effective publicspeaking requires repeated practice at delivering talks before audiences and, more importantly,reflection after a talk on what went poorly and the willingness to do it again, better. Assessingthe presentation experiences of, e.g., the general public or U.S. college students is beyond thescope of
-19 Volume 3, 20023. Veenstra, Cindy P., Dey, Eric L., Herrin, Gary D., "A Model for Freshman Engineering Retention", AEE, Volume 1, Issue 3, Winter 20094. Meyers, Kerry L., Silliman, Stephen, E., Gedde, Natalie, L., Ohland, Matthew, W., "A comparison of engineering students’ reflections on their first year experiences.", J. Engineering Education, April 20105. Hutchison, Mica A., Follman, Deborah K., Sumpter, Melissa, Bodner, George M., "Factors influencing the self- efficacy beliefs of first year engineering students", J. Engineering Education, January 20066. Landis, R. B., "Student Development: An Alternative to 'Sink or Swim'", Proceedings of 1994 ASEE Annual Conference, June 19947. Lotkowski, Veronica A., et al. "The Role of
Solids of Revolution 2. Combining Solid Objects 3. *Isometric Drawing & Coded Plans 4. *Orthographic Drawings 5. *Inclined and Curved Surfaces 6. Flat Patterns 7. *Rotation of Objects About a Single Axis 8. *Rotation of Objects About Two or More Axes 9. *Object Reflections and Symmetry 10. Cutting Planes and Cross SectionsSince a significant number of assignments arepublished in the workbook, to reduce therequirement of digitizing all of the assignmentsand solutions in order to integrate them into theSVT app, only the sketching assignments thatwere assigned in the sample course on theEngage Engineering site were used.Modules 4 and 5 require the users to learn howto draw orthographic
the course4. A concept map is essentially a mental web of connected terms or topics,where the centermost term is the primary learning focus and lines are used to connect relatedconcepts. This results in a web of interconnected concepts that reflect the way studentsassimilate the new information. The three main questions guiding the study reported here are: 1) How can we decode the variety of ideas and structures that students include in their concept maps? 2) How can we use discoveries from this decoding to make lectures and labs more effective? 3) What improvements can be made to the way students are assigned drawing concept maps to further increase the usefulness of concept maps in capturing their learning? The
problems involving the engineering design process, criticaland creative thinking, and technology applications (such as JMP, Pspice, TI Calculator software,CAS) are planned for inclusion.The textbook offers an authentic opportunity to tie content to the Next Generation ScienceStandards and Common Core standards in Mathematics. Authentic examples provide a realisticcontext in, for example, "Defining and Delimiting Engineering Problems" (NGSS) and "Modelwith mathematics," from the Standards of Mathematical Practice in the Common Core,Mathematics standards 3,4.Reflection on Mathematics Textbooks Before DevelopmentTextbooks have been the common tools for communicating mathematics to students alongsidethe demonstration of practice problems on the board
drawn are of particular interest, sincethese affect persistence studies in all disciplines.AcknowledgementsThis material is based upon work supported by the National Science Foundation (NSF) underGrant 1129383 in the Research on Engineering Education (REE) program. The opinionsexpressed in this article are those of the authors and do not necessarily reflect the views of NSF.References1 Lord, S. M., R. A. Layton, and M. W. Ohland, “Trajectories of Electrical Engineering and Computer Engineering Students by Race and Gender,” IEEE Transactions on Education, 54(4), 610-618 (2011).2 Orr, M. K., S. M. Lord, R. A. Layton, and M. W. Ohland, “Student Demographics and Outcomes in Mechanical Engineering in the U.S.,” International Journal of
relevantproblems similar to what might be given on quizzes and tests. By working through the problemsstudents may also pay closer attention to readings in the textbook and attend office hours in orderto overcome confusion. Also, as pointed out in Fernandez, Saviz and Burmeister1, the opensetting in which homework is completed is more reflective of engineering practice than time-limited high-stakes exams. The reason for grading homework is commonly to incentivizestudents to give an honest effort and spend the required time to complete the assignment.Past research does provide evidence of the positive impact that graded homework can have onlearning. A review of 15 published studies on elementary and secondary students showed that in85% of the cases
interests include interdisciplinary collaboration, design education, communication studies, identity theory and re- flective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, interdisciplinary pedagogy for pervasive computing design; writing across the curriculum in Statics courses; as well as a CAREER award to explore the use of e-portfolios to promote professional identity and reflective practice. Page 26.60.2 c American Society for Engineering Education, 2015 A Knowledge-Delivery Gravity Model to Improve Game-Aided
, this imperfection inmeasuring can convincingly reflect the real overhead in a real system.5.1 Hash FunctionsIn the first set of experiments, we measured the H(VM) with several major CryptographicHashing Functions [12]. We chose different hash function to be able to compare them and chosethe best match for our proposed Architecture. Results of H(VM)’s Execution time are shown inthe Table 2. As seen from the results, the CPU processing time of hashing is basically linear tothe size of the VM templates. SHA-384 and SHA-512 has similar processing time due to the factthe construction of the hashing are very similar. An interesting to note was SHA-256 processtime is actually longer time than SHA-384 and SHA-512. This is because SHA-384 and SHA-512
4institutions. To assess whether the program content matched the interests of the participants,participants were asked to indicate the type of institution(s) to which they plan to apply.Institutions were categorized into four groups: research intensive, research and teachingintensive, teaching intensive, and community college. Participants were also asked to indicate ifthey were interested in tenure or non-tenure track positions. As shown in Figure 2, participants’interests shifted throughout the program. Although no conclusive tends were observed with theparticipants’ change in the type of institution to which they were interested in applying, this datadoes reflect the sentiment of indecision that was observed in the post program interviews
environmentthey were working in. The majority of negative feedback received is related to this theme. Evenwhen students were asked to reflect specifically on the teacher, or the lesson, they often providedcritiques regarding the physical environment. This shows that more care should be taken increating a pleasing environment. Students can be very easily distracted when using computersand the survey shows reducing the environmental distractions should be a higher priority to helpstudents focus on their tasks.There were a wide variety of ethnicities represented in the camp: 17.6% Asian/Pacific Islander;5.9% Hispanic/Latina; 17.6% White/Caucasian; and 41.2% mixed.The percentage of male and female students attending the camp was perfectly split, 41.2
reasonableestimate), 2DRMS error circles of between 6 and 12 meters are produced.Using m-files our students have produced for their GPS position solutions, we ask themto think about using a GPS receiver to try to find a restaurant in a large city such as NewYork, NY, where the only satellites visible would be perhaps only the ones directlyoverhead. At that point they begin calculating HDOP for satellites whose elevationangles are above 85 degrees. They quickly realize that even small errors (due to noise, orperhaps multipath reflections off buildings), translate to relatively large horizontaldistances (e.g. 500-700 meters), so they might actually be better off asking for directionsrather than depending on their GPS receiver inside their cellular telephone
” on their team mates’ work. Exam scores of these students reflect theirlack of participation in the team activities and are lower than their team mates’ scores.Instructor intervention was minimal in all courses. As discussed above the instructor onlyintervened one time to redistribute a team because the size of the team was too small, notbecause of any personality or working conflicts. In general, the instructor does not directly helpthe teams work together, and the instructor was not asked to intervene in any team disagreementsby the teams. The teams–as a result of the TBL structure–are self-regulating.ConclusionsTeams in Team-Based Learning courses learn quickly how to effectively work together. Theteams exhibited rare to no team conflict
. Theyidentify two approaches to course development: curriculum-lead and place-lead. Tworecommendations provided by Stanitski and Fuellhart are to overestimate on costs and requirethat students keep a journal. The latter will help students to reflect on their experiences, whichthey describe as far more challenging than developing activities. The results of surveysconducted by Stanitski and Fuellhart led them to change the format of their trip to Australia toallow for more unstructured time. They indicate that it is a significant benefit to have personalinternational contacts. One aspect of scheduling that they highlight is the need to understandhow the schedule may affect summer employment opportunities for students. They found thatidentifying
of work in industry, engineers multiple perspective characteristicswere enhanced. However, besides having significant results, the number of theparticipating engineers (N=14), which was a relatively small sample, was a limitation ofthat work. Future studies with an increased number of engineers should generate moreprecise and clear results.AcknowledgementThis material is supported by the National Science Foundation under EEC GrantNumbers 1129403 and 1129411. Any opinions, findings, conclusions, orrecommendations presented are those of the authors and do not necessarily reflect theviews of the National Science Foundation. Page 26.155.8
poorlyin subsequent courses.Traditionally, Statics has been taught in face-to-face lectures. The traditional lecture formatprevents the students from pausing to reflect and understand what is being explained and theymay often miss important points. A goal of Statics is to have students learn to solve problemsindependently, which is a practice-intensive and time-consuming effort for which the lecture canprovide guidance yet relatively little direct assistance. The traditional lecture is an instructor- Page 26.189.2centered, relatively passive method of learning. While lecturing still remains an effective andimportant way of conveying knowledge, it
various conferences, international journal articles, book chapters in research and pedagogical techniques. He is the director of the Cyber Defense and Security Visualization LaboratoryDr. Kevin D. Dahm, Rowan University Kevin Dahm is a Professor of Chemical Engineering at Rowan University. He earned his BS from Worces- ter Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has pub- lished two books, ”Fundamentals of Chemical Engineering Thermodynamics” and ”Interpreting Diffuse Reflectance and Transmittance.” He has also published papers on effective use of simulation in engineer- ing, teaching design and engineering economics, and assessment of student learning.Dr. Richard J. Kozick
Some design Considerable Good design ProfessionalDesign and random, no criteria design logic logic with space layoutSpace Layout logic or reflected, with a few clearly and design reasoning for have basic good identified concept space layout at layout of designation space all space of space functions functionsAnnotation Little to none Very few Some Quite Comprehensiveof Design annotation annotation annotation complete and accurate was made
system (IMODS) using user-centered design methodology 2. Assess the effectiveness, efficiency, and usability of IMODS in creating outcome-based course designThis paper describes our efforts in the High-level (Conceptual) Design phase of the UCDmethodology. This phase follows the collection of data from potential users on what theycurrently do and will need in the future. The main goal of high-level design is to create an earlyblueprint of the system. We have identified 2 tools that will be most suitable for this phase of theproject: Navigation Model and Prototyping. The navigation model will illustrate how all userinterface screens should be connected. Ideally this should reflect the user’s mental model tofacilitate
, members of a culture are asked to list as many items or beliefs that they can recall aboutone or more dimensions of a cultural model identified by the researcher, usually from previousstudies and the literature. For example, a researcher can ask participants to list their beliefs about“how the teacher-student relationship should function,” a dimension within the cultural model ofeducation success. Free listing assumes that individuals 1) with extensive knowledge providemore responses than those with less knowledge, 2) list most familiar and meaningful responsesfirst, and 3) provide responses that reflect their local cultural knowledge. 3 Ultimately, free listingmeasures the strongest beliefs shared by participants about this dimension.Currently
the master’s program. The summer practicum is acknowledged as a course,where students are required to submit routine deliverables that address professional and businessskills through reflection on the student’s work experience or discussion with a supervisingengineer on his/her work experience.MethodsAs we develop a Master in Environmental Engineering program, we surveyed existing master’sprograms to determine what coursework is typically included in course-based as well astraditional environmental engineering master’s degree programs. This survey provided insightinto the collection of courses expected for an environmental engineering master’s degree. Foradditional insight, we surveyed our board of advisors, composed primarily of practicing
, 1-26.13 Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183. doi:10.3102/0002831207312909.14 Schunk, D. H., & Zimmerman, B. J. (1998). Self-regulated learning: From teaching to self-reflective practice. New York: Guilford Press.15 Arnold, K. E., & Pistilli, M. D. (2012). Course Signals at Purdue: Using learning analytics to increase student success. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 267– 270). ACM. doi:10.1145/2330601.233066616 Hickey, D. T., Kelley, T. A., & Shen, X. (2014). Small to
, allowing attendees to try somesimple navigation and resource selections. As a consequence, the small group discussion andreporting task for this session was changed slightly from the previous workshops. Table 4 liststhe top features that CA workshop attendees “liked” about the alpha site they previewed, whileTable 5 lists features the attendees felt were missing. It is important to notice that reflected in thislist are some of the same attributes identified as priorities in the previous two workshops.Table 4. Alpha Site Features/Functionality “Liked” by CA Workshop Participants Alpha Site Feature/Functionality Liked CountExplaining what engineering is and outlining specific fields of
nature of the integration between the sophomore and senior students is slightly distinct, andis not as interactive as the one discussed above. The sophomore students are required to attendsome of the presentation sessions and group meetings of the senior students (working on theirCapstone projects). They are also required to attend the poster presentation session made by thesenior students at the culmination of their Capstone project. The sophomore students are requiredto write reflection papers to explain their experience and to explain their understanding of theproject. The main rationale behind this interaction is to introduce the sophomores to the open-ended, and often vague, project objectives of the Capstone projects. Furthermore, the
Engineer was the primary contact during thisphase. After the sensors and actuators were installed and functioning correctly, studentswrote a simple program to check gripper function at the pick-up point. A few smalladjustments had to be made to the gripper design at this time to allow for compatibility withthe feeder equipment. The changes are reflected in the drawings included in Appendix A.The accuracy of the points taught was crucial at this step to ensure the proximity sensorwould be close enough to find the screws. The sensor does not sense metal until it is 0.8mmfrom it, so the error margin during this segment of the program is almost nonexistent
he or she did not see how learning could be applied. In contrast, “thermo 2” was difficult tounderstand yet seemed to be more “practical” with “interesting applications.” A seeminglystraight forward question about interest results in a complex answer using words and expressionsthat reflect motivation constructs generally without direct statements. The one statement using aconstruct says the applications were interesting, but not the course.Implications and ConclusionsOur findings demonstrated that each clinical interview approach was problematic for revealingmotivation for conceptual understanding; in both cases, the interview context and dialog arecritically important and can directly shape motivation. While problem solving interviews offer
theeffectiveness of student’s assessment and peer instruction[7][10][13][14][16]. de Alfaro[7]created a crowdsourced grading tool, CrowdGrader, that allows students to grade andreview their peer's homework submissions. CrowdGrader was found to actively involvestudents in grading other's assignments. O'Neill[14] found that with the use ofcollaborative class lecture notes, students created high-quality lecture notes whenprovided with a lecture skeleton layout. Notes created by the students also reflected howstudents were understanding the content in the course. Kumar[13] studied the effectivenessof an online tutor that provided questions to a student and then graded the student'sanswer with feedback. Students showed a 30-60% improvement from pre-quiz to
student evaluation questions are grouped together and listed below. The instructor: created high expectations, made the class interesting, conveyed content effectively, was enthuastic, was accessible, presented content in a manner suitable for learning. Students: did they learn a great deal, did they feel tests/assignments were fair and reflected class content and were graded in a reasonable time, would they recommend instructor to others, did they feel laboratory exercises were supervised properly for safety, and did they feel laboratory facilities were adequate.D: There were fifteen semesters (fall and spring) evaluated to produce the information provided below (evaluationsreported to nearest 0.1); spring 2007
PhD DegreesDiscussionThe results shown here demonstrate separation of demographic data for engineeringdegrees by both gender and race and by discipline and degree level is essential tounderstand changes that may be occurring within the disciplines of engineering.12Overall, the disturbing decreases in engineering BS degrees and much slower rate ofincrease in MS degrees for African American women both need attention to understandwhy this change might be occurring.13 We also might reflect on how well we areassessing demographic outcomes such that these changes have gone relatively unnoticed Page 26.618.15until now.3,14,15The relative positive increases