Table 1. Even though all participants received a free lunch, only the last eight groups knew this priorto signing up. A survey question asked how much of an impact lunch had on their decision toparticipate in the workshop (none, some, would not have come without lunch). A total of 127surveys were filled out by individuals that knew about the lunch. Of the people, 45 (35.7%) saidthat lunch had some impact or that they would not have come without lunch. Furthermore, of the82 individuals that said lunch had no impact on attendance, eleven surveys had notes that said itwas either a bonus or that it helped. Thus, the self-reported questionnaires reflect over a thirdincrease in attendance due to lunch. Even with this limited number of data
wasdeveloped in 2014 by Engineers Without Borders Australia (EWB) to provide students theopportunity to develop a deeper understanding of the role Human-Centred Design andtechnology play in creating positive change and explore first-hand the application ofengineering and technical skills in developing contexts. The program offers an experientialservice learning mechanism allowing students to reflect upon people-centred values andapproaches in engineering, design and technology whilst at the same time supportingcommunity organisations by generating ideas and engaging in two-way knowledge sharing.Whilst there is a focus on learning the Program also aims to nurture the students to becomefuture development leaders as well as to promote the professional
to gain afavourable grade.Tasks were selected to reflect Tuckman’s teambuilding theory, cycling through four stages ofteam/group development: 1. Forming - The team get to know one another and bond 2. Storming - The team come up with and interchange ideas. Eventually choosing a course of action 3. Norming - Once the ideas have been finalised the team begins working together. Each team member begins to take on their roles in the team and the rules of engagement are formed. 4. Performing - Teams carry out the task in handDetails of the exercises performed during workshop can be found in Table 1.Table 1: List of Exercises performed at Teambuilding Workshop Exercise Type Duration Description Line
the purpose of programmatic assessment. Eliot and Turns [12] investigated the useof professional statements, artifacts, and reflections in students' ability to identify as engineersand future engineering professionals. The authors discovered that students developed both anexternal frame of reference targeting the expectations of future employers and an internal framefocused on individual values and interests. Abdulaal and colleagues [13] explored theimplementation and deployment of a career orientation course originally piloted in a biologyprogram but later offered across several programs throughout the college. Findings from mockinterviews suggested an increase in confidence toward career preparation skills and ability toarticulate one’s
mentor and mentee responses, showedstudents perceived significant differences in their own gains in analyzing data, thinkingcreatively, and working independently. This is not particularly surprising: research has foundself-ratings of traits, abilities, performance, or leadership typically be higher than the ratingsprovided by observers [13, 14]. Interestingly, literature also assert that such a self-enhancementbias may be psychologically healthy in that it reflects positive self-evaluation and results in bothfewer negative thoughts and also higher expectancies for success in new endeavors [13,14].Table 1. Summary results of descriptive statistics and 2-sample t-test statistical analysis.Research skills marked with * indicate those with
underrepresented groups (4%).Creativity increased over the course of the semester: Our data was accepted to be normallydistributed by Kolmogorov-Smirnov test. There were no statistically significant beginning-of-semester differences by any assessment between the control and intervention sections byunpaired t-test. Further, the overall scores for end-of-course evaluations did not differ betweenthe semesters (p=0.46; effect size, Cohen’s d=0.02).Regardless of course section, control or intervention, there was a significant improvement by theend of the semester in the fluency, flexibility, and originality aspects of creativity (Table 1).These changes reflect those seen by us in a first-year engineering course with an authentic designexperience [1], though
skills. Designing and defending a solution to a real-world problem.Overall, students have positive comments about this capstone course and are benefitted greatlyfrom this experience.The following is an example of a senior design project which reflect common student projects.Sample ProjectThis sample project was a group project. Two CE students worked together on this design. Thissenior design project describes the realization of a wireless replacement for the traditionallywired pulse oximeter currently found in hospitals, which is used to monitor oxygen saturationand heart rate. This design allows patients freedom of movement and lack of restriction from atraditional wired device to a monitor. This freedom of movement also allows for
project from a more holistic perspective and synthesize thevarious subdiscipline components into one whole system. We are currently implementing ourapproach in the freshman year. As our staged implementation approach continues through thefour-year curriculum, we will reflect upon the successes and difficulties that we undergo as wehelp our students be better equipped to face real-world engineering challenges.AcknowledgementsThe authors want to acknowledge the RHIT’s office of Institutional Research Planning andAssessment for administering the surveys, as well as the faculty in the civil and environmentalengineering department at RHIT for agreeing to participate in this project.References[1] D. R. Woods, A. N. Hrymak, R. R. Marshall, P. E. Wood
SATA USA, LLC for their valuablesuggestions and partnership in CMM training and development.References [1] Bureau of Labor Statistics, “Job openings and labor turnover survey,” August 7, 2018. [2] 2018 Deloitte and The Manufacturing Institute skills gap and future work study, https://www2.deloitte.com/us/en/pages/manufacturing/articles/future-of-manufacturing- skills-gap-study.html. [3] The University of Texas Rio Grande Valley http://www.utrgv.edu/en-us/ [4] The University of Texas Rio Grande Valley - Engineering Technology program http://www.utrgv.edu/_files/documents/admissions/undergraduate/dp-engineering- technology-bs.pdf [5] Fornaro, R.J., Heil, M.R, and Alan L. Tharp, A. L., 2006, “Reflections
framework for developmental relationships in existing literature. The finalquestion of the interview protocol asks the participant for feedback on the proposed model(Appendix B). The interviews take place in person at respondents’ campus location. The authorhas conducted 31 interviews out of the approximately 50 participants identified. The author will analyze the qualitative interview data using the analysis software,Atlas.ti. Using interview transcripts as well as reflective memos generated during datacollection, the author will analyze the variety of developmental relationship functions andcommon themes that emerge from the experiences described by the engineering faculty. Aphenomenological approach will be used as well as modified
and do not reflect a more complex spatial thinking. Reference [17] suggests thateducators and researchers should “look more broadly than psychometric tests of spatial ability toidentify components of spatial intelligence or adaptive spatial thinking.”There are several limitations in implementing this study. First, the assessment of the relationshipbetween the two test scores did not involve a pretest, and the data analysis in this study provideda snapshot of the relationship between the two test scores at the end of the study (posttest) only.This practice might justify the correlational analysis when two score sets are collected at thesame place and time, but there is a high possibility that students could develop spatial skillsduring the
workshops andthe exhibition reception are able to interact with peers from other departments and reflect uponnew methods of expression. The exposure to research topics and methods from many fieldsencourages students to re-imagine and contextualise their own work.Prior to the inaugural competition, a library resident was tasked with reviewing and analysingsimilar events at other post-secondary institutions. Nine competitions were identified, and theresident librarian was able to correspond with organizers at seven of the host institutions in orderto gain insight into their experiences [8]. The results of this analysis informed the timeline andprocedures for the first event, which have since been refined over subsequent iterations of thecompetition
this study, these video data provedindispensable, allowing us to observe and analyze the interactions and behaviors of the youth asthey navigated through their engineering successes and failures.The eight groups of youth captured on video were also asked to participate in a brief focus groupat the conclusion of their final activity. Having spent considerable time working together, weasked participants to reflect as a group on their engineering experiences. Researchers facilitatedthe focus groups and captured them on video. These conversations shed light on youths’perceptions of their engineering work, and their thoughts about engineering as a possible careerchoice.A survey of youths’ engineering interests and attitudes (EIA) was also completed
reflect the views of the National Science Foundation.ReferencesAlmatrafi, O., Johri, A., Rangwala, H. & Lester, J. (2017). Retention and Persistence amongSTEM Students: A Comparison of Direct Admit and Transfer Students across Engineering andScience. Proceedings of ASEE 2017.Almatrafi, O., Johri, A., Rangwala, H. & Lester, J. (2016). Identifying Course Trajectories ofHigh Achieving Engineering Students through Data Analytics. Proceedings of ASEE 2016.Atman, Cynthia J and Sheppard, Sheri D and Turns, Jennifer and Adams, Robin S and Fleming,Lorraine N and Stevens, Reed and Streveler, Ruth A and Smith, Karl A and Miller, Ronald L andLeifer, Larry J and others. (2010). Enabling Engineering Student Success: The Final Report forthe Center for
with those observed for situation where an intervention has beenimplemented: there is an overall improvement of scores, with some specific factors (questions)being more influential than others. Particularly, single factors were identified for two of themeasurement of improvement used: Raw and Tier, but multiple factors are needed for apredictive model using Percentage as improvement indicator. It is of interest as well that the one-factor models identify question that belong to the same subset, questions that require rotationabout at least two axes in order to have a correct answer. Thus reflecting the importance of suchexercises for spatial visualization skills.In terms of demographic parameters, the results indicate that they do not have a
level. In 2010, Kara began teaching courses and supervising student teachers at ASU. Kara is TAP certified, an evaluation system designed to improve teaching effectiveness and student achievement. The TAP evaluation involves classroom observations, coaching, and feedback/reflection for professional growth. Kara has worked with 60+ student teachers in various subjects at the pre-K through 12th grade level, and conducted over 100 TAP classroom observations. Since the fall of 2016, Kara has been working with the JTFD Project, an NSF grant working to improve active learning in engineering education. She has completed 300 RTOP classroom observations in ASU engineering courses (civil, environmental, construction
Autumn 2018, bothcontained the same question regarding the number of hours spent using the textbook. In Autumn2017, students were still using the paper textbook. However, students were asked the samequestion in Autumn 2018, after the implementation of the zyBooks e-bookAs seen in Table 3, student usage of the textbook increased by an average of roughly 30 minutesper week after the implementation of the use of the zyBooks e-book. Given the course averageremained relatively constant, as seen in Figure 4, even though students spent more time workingon their textbook, their grade did not reflect an obvious change. Table 3: Averages of Student Self-Reported Textbook Reading
3 (9%) 4 (10%)As one can see, about half of the computer science students believed that the highest privacyshould be set as the default. This was only true for 35% of students registered in the businessethics course. In addition, about a fifth of students from the business ethics course believed thatthe lowest privacy should be set as the default level of privacy. However, this option wasselected by around 12% of computer science students. This finding shows that, computer sciencestudents were more cautious about the issue of privacy compared to their non-computer sciencepeers. This can be attributed to the knowledge computer science students possessed regarding theissue of privacy which was reflected in some of computer
be addressed during the summeris a very important thing to reflect on. My weaknesses were clearly related to my lack of generalconstruction industry knowledge, with the exception of my financial experience, and engineeringskills. My threats were focused mainly on my ability to self-teach myself when needed andgaining a sense of complacency. This summer was an opportunity to learn and fill knowledgegaps. I felt that if I was not constantly gaining experience, time was being wasted. This in turnpushed my opportunities. The constant desire to learn something new once I felt comfortablewith a certain aspect of my job was key to my knowledge base growing. Being able tounderstand where I started and where I needed to be by the end of the summer
many important conclusions. SNU students, for example, indicated that theyrelied heavily upon their UD counterparts with regard to open-ended problems and goals andprocedures that were purposely loosely defined in this senior level lab. Groups that matchedSNU transfers with traditional UD students performed well, and indicated a high level ofsatisfaction with lab partners. “The most significant observation from this exercise was the impact of peer-to- peer learning on both Chinese and American student performance… grades reflect the benefit. It was not, however, anticipated that this environment would also promote a better understanding of the material for the associated American students
of construction.The challenge, then, in teaching complex construction concepts lies in involving students in amore active form of learning to enhance knowledge acquisition and retention. Simulationtechnologies and serious games have been demonstrated to foster active learning throughincreased engagement as opposed to the passive memorization typical of traditional teachingmethods (Dede and Lewis 1995). An educational simulation is generally defined as a simplifiedmodel of reality or set of abstract concepts that provide basic information that facilitates studentlearning and understanding (Sawhney et al. 2000). Simulations are developed around learningsituations that contain contextual information mastered through reflection and interaction
criteria [7, 8, 9], the changes overall reflect the need to keep the criteria relevant andrealistic [10]. It is important to note that the Engineering Technology Accreditation Commission(ETAC) has also made changes to Criteria 3, 5, and 6. These changes go into effect during the2019-2020 accreditation cycle [11].The revised EAC general criteria is helpful as it includes several concise definitions [12]: - Basic Sciences: Consist of chemistry, physics, and other natural sciences including life, earth, and space. - College-level Mathematics: Consist of mathematical topics that require a degree of sophistication, such as calculus, differential equations, probability, statistics, linear algebra, and discrete mathematics
formatting guide fortables and figures. The next three periods were workshops in which students provided informalin-person feedback on partial drafts.In the first workshop, students brought in figures and tables. They then exchanged them with1-2 classmates who answered questions related to their interpretation of the results shown. Forexample, one question asks reviewers to articulate the experimental result demonstrated by theplot, e.g.“The data does/does not clearly demonstrate that there is a linear/inverse/cubic relationshipbetween {insert control} and {insert response}.”In turn, the drafter was asked to reflect on whether the reviewers interpreted the results as theyintended. In cases where there was disagreement, the group brainstormed
interviews with teachers from Faculty of Engineering andFaculty of Information Technology, and also administrative staff from Kochen HonorsCollege. Those semi-structured interviews offer plenty of first-hand information onthe transformations and operations of the Robotics Class;2) Focus group discussion with students in the Robotics Class. Eight participants fromdifferent grades are encouraged to reflect openly and informally on their degreeprogram. The discussion lasts for 60 minutes, allowing us to explore how do studentslearn computational thinking and what are their attitudes on the learning experiences.3) Documental revision on programs, syllabus and other second-hand materials. Theauthors analyze computational components in the curriculum of
loads. However, the methodology was applied in 6 different modules thatcovered trusses and frames, continuous beams, buckling in columns, in-plan, and out-of-plane wallbehaviors, long-span systems, and shells. The exercises were introduced over 2 weeks. Data collectedwere used to reflect on the introduction of educational tools into an otherwise conventionalmathematical class. The tools introduced can be divided into two categories: 1) simulation software forreal-time simulation and 2) small-scale models for physical demonstrators. The first category was usedto help students to comprehend dissimilarities between didactical problems and real-world applicationsby visualizing and experiencing structural behaviors in a virtual environment. The
where students design their ships and can analyze data likeweight and center of gravity.The designers of FLEET ensure every aspect of the game is authentic to the work of engineers.As shown in Figure 2, the flow of the FLEET interface reflects the cyclical nature of engineeringdesign processes. Students first receive an overview of the mission, then design a ship in thedrydock to meet the mission requirements and objectives. Students proceed to test their shipeither in the full mission or in shorter tests focused on different aspects of ship capability. Testsand missions end with a summary screen giving data on ship performance, such as time spent,number of collisions, and points scored. Students use this data to improve their ship design
challenge due to the unavailability of the participants and their parents. This was resolved by arranging the camp in two separate weeks to make sure that all twelve participants can take part in both weeks’ activities.(3) The length of the summer camp was an issue for some participants. Personal conversations with the participants revealed that some of them would preferred a week-long camp instead two weeks. It was also reflected in the performance of some of them as they become less attentive at the end of week two.(4) As shown in Appendix A, a session was scheduled for parents to inform them about their children’s career in engineering/technology areas. However, the session was postponed owing to less interest from them
significant asdetermined using chi-squared tests (p < 0.05).Of the students responding to the end-of-quarter student evaluations of teaching, the number ofstudents reporting that they attended 80% or more of the lectures increased from about 74% inthe ’17 offering of the course to about 85% in the redesigned ’18 offering of the course, asshown in Figure 1B. Further, none of the students responding to the evaluation after theredesigned course reported attending less than 60% of the lectures. It must be noted that sinceattendance was self-reported and data was only available from the students completing thesurvey, these results may not reflect the actual attendance in lecture. Anecdotally, lectureattendance was observed to be better throughout the
ideal place to maximize our sample of first-generation college students. A confirmatory factor analysis will be conducted on the funds ofknowledge scale to finalize validity evidence of the scale. After the funds of knowledge scale hasbeen validated, we will continue forward in answering the research questions.AcknowledgmentsThis work was supported through funding by the National Science Foundation under EAGERGrant No. (1734044). Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] E. T. Pascarella, C. T. Pierson, G. C. Wolniak, and P. T. Terenzini, “First-Generation College Students
factorsthat affected the changes in their perceptions. The seniors were very satisfied with theirexperience and one stated that “…it got more exciting and we could see the project comingtogether.” This comment was shared by all 80% of the seniors. This is clearly reflected in theincreases in enthusiasm. Seniors 7 6 5 4 3 2 1 0 beginning of end of freshmen end of sophomore at completion currently freshmen year year year Enthusiam Motivation Perception of Value Group Dynamics