0 0 0 9 MA 1 31 1 0 7 0 3 43 Given MO 3 17 0 5 0 0 5 30 PR 2 8 0 2 0 0 4 16 QH 5 78 0 2 3 5 0 93 Totals 26 156 1 44 30 16 93 366 * AN-Analyzing; DE-Designing; DF-Defining problem; MA-Managing; MO-Modeling; PR-Predicting; QH-QuestioningThe observed frequencies show that there exist dominant iterations between designing andquestioning (f(DE→QH) = 78, f(QH→DE) = 78). This result reflects that participants oftenmoved back and forth between
learning gains that have arisen as a resultof student learning during a course of study.Concept inventories have been developed to assess student understanding in a variety of subjects,including physics1, statics2, biology3, genetics4, thermodynamics5, fluid mechanics6, light andspectroscopy7, dynamics8, chemistry9, digital logic10, thermal and transport science11,geoscience12, statistics13, and engineering hydrology14. Perhaps reflecting the wide range ofsubjects they seek to assess, there is substantial variation in the format and length of existingconcept inventories. Some utilize a multiple-choice structure, assigning an all-or-nothingoutcome to student responses, while others incorporate more detailed assessment of studentresponses in an
, I found it very helpful to be able to step back andobserve myself and reflect on it. As there are many positive benefits, candidates should considervideo recording their lectures.ResearchThe primary artifacts for research are publications and funding3. The key to accomplishing bothof these is staying organized. Staying organized was also the most common tip fromparticipants. Specific suggestions included consistent file names, sharing strategies, andplanning directory structures. The other common tip was ensuring files are backed up, eitherthrough the cloud or manually. All but one participant indicated using cloud storage; Figure 6shows the cloud storage used the most often by each participant. Another participant stressed theuse of
netpromoter items on a 0 to 10 scale, with 0 reflecting the highest positive value (“Interesting,”“Appealing,”) and 10 indicating the closest negative value (“Boring”, “Unappealing”). Table 1. Change in STEM-Inc Student Interest in Computer Science, Engineering & Entrepreneurship, Fall to Spring, 2015-2016 Total 2016 Traditional Lean 2016 2016 Mean Change Mean Change Mean Change (Pre-) (Post-) (Pre-) (Post
engineering degreedue to participation in ESI. As time continues and more data are collected, the authors expect tobe able to say this with increased statistical certainty. One major success of SI is the peer interaction. Students can receive positivereinforcement by learning from a student who has been able to excel in a historically difficultclass. Additionally, SIs tend to teach the material in a method that reflects a student’s train ofthought, which is more appealing to fellow undergraduate students. SI is also capitalizing on animportant stage of the learning process–repetition. By the SI repeating the material previouslydiscussed in lecture, students often come to understand the material better. As mentionedpreviously, other
, ASCE updated the series findings to reflect currentconditions, Failure to Act: Closing the Infrastructure Investment Gap for America's EconomicFuture (available at http://www.asce.org/failuretoact/). These reports cover 10 of the 16categories addressed by the Report Card for America’s Infrastructure, and give specific figureson the cost of infrastructure inefficiencies, including the: • cost to each family’s disposable income, • impact to American jobs, • added cost to U.S. businesses, and • overall impact to the U.S. economy. Figure 2: Failure to Act: Closing the Infrastructure Investment Gap for America's Economic FutureThe 2011 and 2012 infrastructure sector-specific reports of the Failure
instilling confidence in the results in cases where there wasreasonable agreement or prompting reflection where there was not agreement.Typical wood strength values used in structural design are much lower than published clearstrength values. Clear strength values typically represent the mean as-tested values of clearspecimens (without knots, cracks or other defects), whereas design values are often two standarddeviations below the mean to ensure a 95% probability of the wood not failing. Toconservatively estimate the strength of pine in Uganda, EMI would typically use design valuesfor “mixed southern pine” from U.S. standards, which are shown in Table 4 below. Though thisstudy did not include enough clear specimens of each species of Ugandan wood
took for events on thecourse to be reflected on the course computer’s display. This was caused by the overheadinvolved with creating and sending the messages, and with generating the address for a messagereceiver. Network packets sent via UDP, as in the original framework, are not guaranteed toarrive at their destination nor to arrive in any particular order, and issues involving droppedpackets impacted performance as well.These issues impacted the students because the tasks that their robots completed would notregister as soon as they needed to for the students to adequately progress in the challenge.Additionally, the steep learning curve of the system made it difficult to learn for new developers,which hindered the original intent for a
mentor (11variables) on the post-survey is 4.35 (out of 5) with std = 0.97. An inspection of the Q-Qplots and histogram graphs for the remaining five variables (v2, v4, v5, v8, and v12) forwhich the confidence interval were not computed (variables not normally distributed) showone or two outliers. These outliers could be a reflection of the type of research project andthe student’s academic level.Table 2 (Evaluation 1): CISE REU Survey Constructs Differences df Std. Error 95% confidence interval Mean SmdConstructs
funding and retention data areperhaps more reflective of the unique differences between each participant rather than a true measureof the program’s impact.During the inaugural 2014/2015 academic year the EMS NFLC met 23 times and averaged sevenparticipants per meeting (from a pool of 27 new faculty and academic staff). There were 17 uniqueparticipants, and 15 faculty and staff participated in two or more meetings. During the 2015/2016academic year, the EMS NFLC met 22 times and averaged four participants per meeting (from a pool of13 new faculty and academic staff). There were 8 unique participants, and 7 faculty and staffparticipated in two or more meetings.Feedback from participating faculty during the first two years was overwhelmingly
.” Chemical Engineering Education 46 (4), 251–259 (2012).18. K. Mineart and M. Cooper, “Evaluation of Student Reflection as a Route to Improve Oral Communication.” Chemical Engineering Education 50 (3), 177–185 (2016).19. Millennial Marketing, “Do Millennials Read? Yes, But They Read Differently,” from http://www.millennialmarketing.com/2010/05/do-millennials-read-yes-but-they-read-differently/, last accessed Feb 6 2017.AppendixRubrics used by the author during this study are given in Figures A1 – A4.Figure A1. Instructor grading rubric for individual student (as oral presenter).Figure A2. Instructor grading rubric for individual student (as question answerer).Figure A3. Instructor grading rubric for group presentation slides (DBP format
through a practice of initiating, partnering, and policy making.Advance team members and key campus partners commence change initiatives by identifyingbarriers. Once a new program is developed, input and feedback gathered through campuspartnerships. Finally, successful ideas inform policies and procedures to formalize new practices.AcknowledgementsSupport for this research was provided by the National Science Foundation ADVANCEInstitutional Transformation program under Award No. 1209115. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] RIT Human Resources and Institutional Research (2015). NSF
’ perceptions of and experiences with academic integrity postK-12 (at the start of their undergraduate experience). It answers the following researchquestions: (1) How do students define academic dishonesty? (2) What is the frequency withwhich they witness and participate in academically dishonest behaviors?, and (3) What are themotivations for engaging in these behaviors?Because the data were gathered at the start of students’ freshman year, the results reflect theperceptions and attitudes about academic integrity that were the result of students’ K-12experience. The results indicate the perceptions and attitudes that students bring with them to theUniversity, the lens through which their college experience will be seen and which their
have developed a need for patronage, as well asthe related reliance upon idiosyncratic terms and isolated practices can be found in MargaretCrawford’s writing, “Can Architects Be Socially Responsible?” Similar trends, often morepronounced, can be found within the processes used by engineers. SOURCE? MargaretCrawford, “Can Architects Be Socially Responsible?” in Out of Site: A Social Criticism ofArchitecture, edited by Diane Ghirardo (Seattle: Bay Press, 1990): 27-45.ix Jerome Bruner, Toward a Theory of Instruction (Cambridge: Harvard University Press, 1966),82-83.x Bruner, 25-26.xi Bruner, 72 (emphasis mine).xii “If this meaning is at once accepted, there is no reflective thinking, no genuine judgment.Thought is cut short
, is a social and discursive practice and understanding itrequires paying close attention at the micro-level. The concept of genre, in turn, highlightsthe recurrent and situated nature of discursive practices, and provides robust methodologicaltools for studying the production, reproduction, and change of discourse. For example, instudying the electronic discourse of a group of computer scientists, Orlikowski and Yates[18] identified the repertoire of genres enacted by the participants over time and showed howthese discursive actions reflected their collective purposes as well as the shared norms andrelations of their occupational community. Similarly, learning in any given setting that relieson repeated discursive acts, which can be
assigned to mentor the student through the semester.The academic component of the internship includes the preparation of various reports thatdocument the student’s role in the company, how they are leveraging networking and growthopportunities and reflection on the internship experience itself.The student is required to coordinate an on-site, face-to-face meeting with their immediatesupervisor and faculty advisor to discuss their progress throughout the internship. The studentintern is required to take meeting notes to document the conversation with a focus onaccomplishments and continuous improvement areas. The faculty advisor uses a preparedgrading rubric for each assignment, reviews and grades the report and reports the correspondinggrades
multiple viewpoints related to the problem, question or topic. SLO 4. Students will be able to apply appropriate research methods or theoretical framework to the problem, question or topic. SLO 5. Students will be able to formulate conclusions that are logically tied to inquiry findings and consider applications, limitations, and implications. SLO 6. Students will be able to reflect on or evaluate what was learned.The pre-test sample included 158 students (n=84) and post-test included 84 student (n=84).Result scores based on the different units are shown in Table 1. Table 1: Pre-Workshop and Post-Workshop student scores (range: 1-5) based on IDW Rubrics Student Learning
was supported by the National ScienceFoundation (EEC Grant # 1550961). Any opinions, findings, conclusions, or recommendationsdo not necessarily reflect the views of the National Science Foundation.References1. NGSS Lead States. Next Generation Science Standards. (Achieve, Inc. on behalf of the twenty-six states and partners that collaborated on the NGSS, 2013).2. Carr, R. L., Bennett, L. D. & Strobel, J. Engineering in the K‐12 STEM Standards of the 50 US States: An Analysis of Presence and Extent. Journal of Engineering Education 101, 539– 564 (2012).3. Moore, T. J., Tank, K. M., Glancy, A. W. & Kersten, J. A. NGSS and the landscape of engineering in K-12 state science standards. J Res Sci Teach 52, 296–318 (2015).4
activities, discussion, instruction and reflection. Although each of the TAs hadpreviously taken the course, some as recently as the previous semester, since they were selectedfrom three different engineering programs, not all of the individuals knew one another. On thefirst day, as shown in Figure 1, students introduced themselves, and played a few icebreakergames to get to know one another a bit better. From there, course logistics were presented by theinstructors; what the students as Mentor TAs would be expected to do, how much time theycould anticipate needing to do the job well and what the course schedule would be in regards totheir responsibilities. From there, students were introduced to the LMS from a teacher’sviewpoint; although they had
following conclusions are warranted: • Student’s performance at the beginning of semester is highly correlated to their performance throughout the semester. This enables developing an early alert system by monitoring students at the beginning of semester. • Early semester homework assignments, mid-term exams, and in-class practice problems can be employed as Students Performance Indicators (SPI) for developing the prediction model. • Among the considered SPIs, the in-class practice problem indicator that reflects the active involvement of students in class exercises showed the highest regression coefficient. This emphasizes the importance of student’s participation in class activities on their
, thathelping students to achieve appropriate learning outcomes is a complex process [11]. Gunstonesupported the use of the laboratory as the setting for students to gain knowledge [12]. Hofstein andLunetta suggested that if students were supported with enough time and opportunities forinteraction and reflection, that meaningful learning would happen in the laboratory [11]. However,students are usually engaged in technical activities with few opportunities to interpret and statetheir beliefs about the meaning of their laboratory work [12]. It is, therefore, crucial to provideopportunities that encourage students to ask questions, make design inquiries, and suggesthypotheses. Consequently, it is necessary to provide frequent opportunities for the
with dougong isthat it is well-known for its intensive use of dougong in the construction of each level, as shownin Fig. 4., reflecting the first peak in the development history of dougong in that time.Fig. 4: Intensive dougong used in the levels of the Yingxian Wooden PagodaII. Methods --- Graphics Pipeline The methods of establishing the VR simulation of dougong in this paper, known as agraphics pipeline, consist of four stages: (1) initial modeling, (2) advanced modeling, (3) VRproduction, and (4) dissemination for education, as shown in Fig. 5. Fig. 5: Graphical pipeline to establish the VR simulation In the initial modeling stage, the primary objective was to build the basic 3-D models ofthe components, and to assemble
in renewable energy and sustainability[1],[8],[9].The main objectives of these developments are related to (1) promotion of awareness of theemerging technologies in renewable energy area; (2) making students cognizant of the globalchallenges regarding reducing the carbon footprint in industrial setting, climate change, andother energy related issues, (3) preparing the needed high quality workforce in renewableenergy systems who will develop new systems, devices and technologies for the industry.General Framework of the MinorAs is reflected in the figure above (Figure 1) the minor courses are mostly technical electives forour major while three of the courses from our minor are also core curriculum courses for the ETmajor. The minor can be
material.These methods greatly enlarged the learning platform of the class. Assessment of the lectureassignments was uniquely based on active participation by the students, including the learningprocess, delivery of the assigned content, and students’ ability to keep the audience engaged.Class performance through projects and homework assignments revealed that students enhancedtheir knowledge of aircraft stability and control through flight simulator experience, iterativehomework assignments, and by preparing and presenting assigned lectures. Reflections from thestudents showed that they greatly benefitted from the intuitive theoretical learning through theuse of flight simulator.Introduction In the field of engineering, development of both
engineering.This community of college and university educators has a home in the American Society forEngineering Education (ASEE). Over the past two decades, an interest group was formed withinthe Liberal Education / Engineering and Society (LEES) division, and this interest group grew tothe point of becoming a separate division. This division, originally the Technological LiteracyDivision (TED), recently changed its name to reflect its interest in and promote teaching non-engineers about engineering. Now known as the Technological and Engineering Literacy /Philosophy of Engineering (TELPhE) Division, a primary part of the division’s mission is topromote efforts to teach people who are not engineering students about engineering.Today, the TELPhE Division
participants,and started the team off in a manner that reflected this. Brainstorming happened almostimmediately, debates upon a project, and subsequently how to do the project occurred. Taskswere divvied up based on skill or preference while non vocalized goals were implied amongstthe group or self-assigned.ConclusionIn this paper, we have presented methods of observation for self-regulated learning in ahackathon environment, and discussed the overarching themes that have developed from theseobservations. These include various already known methods such as trial and error, as well asevery day actions such as googling a question. For the future, more teams should be studied tosee if the phenomenon that occurred in this team are present in other teams
critical to engineeringstudents for two reasons. First, the scope and depth of business concepts presented to engineeringstudents is inevitably narrower than it is for business students exposed to a portfolio of conceptsduring the course of a four year business degree 11. Second, the societal and cultural excitementsurrounding technical entrepreneurship has resulted in media constructions of entrepreneurs andentrepreneurship that may not accurately reflect the characteristics or experiences of the generalpopulation of “real entrepreneurs”10,12.Within this context, understanding the misconceptions students have constructed aboutentrepreneurial action and business concepts is critical to entrepreneurship education. Knowingthe specific misconceptions
any hand and lowers itto obtain control of the captions until another personraises a hand. The program continues to update thedisplay’s location if the speaker walks around on stage,as shown in Figure 4b.This form of control based on hand raising takesadvantage of social dynamics - when someone motionswith a hand, others know that person would like to speakor to add something to the conversation. It is a methodwhich reflects physical-world experiences. Figure 3: RTTD-MS - z axisLab Presentation ModeDuring a presentation-style setting where the speakers are standing or otherwise moving around on stageand giving a planned presentation, the program detects which speaker is closest to
sciences (2) majors that were started before the 2000-2001 academic year (Table 1).The environmental design degree was housed in the College of Architecture and Planning. Eightof the programs were accredited by ABET’s EAC; one was Computing Association Commission(CAC)-accredited; 12 were non-accredited.The admissions criteria for majors in the CEAS differed from those in the College of Arts andSciences. These differences were reflected in the average high school GPA of the first-year students who matriculated into various majors, which ranged from a high of 3.90 in Aerospace Engineering to a low of 3.28 in Geography (based on the fall 2008 class). Table 1. The 21 studied undergraduate degree programs
Innovation Program is voluntaryand projects are not explicitly coupled to the coursework of engineering students. The Beta Program has seen successes and challenges. We have adjusted to improveoutreach and streamline the application process. We are currently reflecting on how bestto continue. In a companion paper9, we examine the Beta Program using thecomponential model of creativity and innovation10. In this paper, we focus on theprogram implementation and student participation, and we speculate on how to adapt theBeta Program to the evolving environment in our college.The Beta Program ProcessThe primary activity for the Innovation Council is the selection of projects to receivefunding and other support. The sequence of events for project