demos. 4. Subsystem-level and system-level demos: it was expected that there would be more than one integrated demos of two or more subsystems. 5. Evaluation plan and measured results: a list of specific metrics, at least one test procedure for each metric, desired levels for each metric, and measured levels for each metric 6. Delivery and hand-off: a major point of this whole collaboration was to create a system that would be handed off to L&IT to be polished, deployed, and maintained over time. An official hand-off meeting with discussion and questions was a major milestone for the end of the project. 7. Reflection on the process and productEach of the project milestones was evaluated by a rubric
(which is written using the Blocklylanguage) knew that they were using Blockly. From students who had previously attendedsome sort of STEM program before the institute, 70% of them had used Scratch. This showsthat most outreach programs in this geographic area highly favor the Scratch language. Withmore than 80% of students having used some programming language, it shows that all studentsare being exposed as much to computer programming at home or school as those whoparticipated in outreach programs. However, the low level of exposure is reflected in the self-efficacy in CT concepts. Students who had previously attended outreach programs improved more in CTconcepts such as algorithms, procedures, parallelization, data collection, and
issues, through conversation, sharing, and inquiry [10]. The participants in this study acted as coresearchers who thoughtfully reflected on their own experiences in navigating and completing at least one STEM degree and working in STEM related areas. There are many approaches to using narrative in research, but a personal narrative, can also be considered autoethnography. Narrative in research is generally focused on producing some version of text, whether spoken or written, to represent the sole data source for another party to evaluate and assess the meaning. Autoethnography, however, prompts the narrator to do the work of connecting their own story to theory, in order to explain a larger social reality. In this study, the narrative
recommendation and into learning personalization.RecommendationsWe include the recommendations below not as an exhaustive guide to all aspects of producingeducational online videos, but rather as a starting primer to create such videos in line with robustfindings and best practices.Recommendation #1: Plan pedagogy before you produce video.In the words of Mayer: “Decisions about how to design a multimedia message always reflect anunderlying conception of how people learn - even when the underlying theory of learning is notstated” (p. 46).19 Therefore, in line with the second and third lenses (learning environment andlearning data), we highly recommend that before producing a video an instructor should clearlyarticulate the learning objectives of the
foryoung makers and families and how educational learning objectives match up with the attributesof making and values expressed by maker families.This will be addressed by both qualitative analysis of ongoing interviews with Young Makersand the parents of Young Makers. Emergent thematic analysis is be used to highlight themesrelevant to Maker families working together. Additionally, this work will explore the goals andpractices of informal science education museum community and establish a baseline and rangeof making activities and makerspaces in childrens’ museums.There is a trend for museums and science/technology centers to establish Makerspaces. ThePittsburgh Children's Museum has created Makeshop, a makerspace reflecting 7 specific
, and was predominantly Caucasian (55%) or Asian (24%), with ethnicdistribution varying across schools. Participants were predominantly African American at theHBCU, predominantly Caucasian and Asian at the Research institution, and mostly Caucasian atthe three remaining schools. The mean age of the sample varied between 19.7 and 22.1 yearsamong the five schools.After completing the survey, respondents were recruited to participate in follow-up focus groups.A total of 175 students participated in focus groups across the five campuses. Focus groupparticipant demographics closely reflected the survey participant pool at each institution. Focusgroup participants were recruited in the Fall 2010 and Spring 2011 terms, after surveys werecompleted. The
instructor was strict with punctuality and had control over class participation. On theother hand, he made students participate and asked questions that made students think andengage. Often our interviewees compared their positive experience in their second semesterwith negative ones in the first semester. They criticized the distant and blackboard-focusedinstructors they had in their first semester. Student also pointed out that they did not believeinstructors took into account the fact that there were some important differences regardingthe academic preparation among first year students.Self-awareness and Self-efficacy When students reflected on their moments of crisis and how they overcame it, all ofthem suggested that their failures were
included a claim inan engineering context, which was a suggestion or decision related to the engineering design,plus at least one other element of an argument (data, warrants, backing, modal qualifiers, orrebuttals) was coded as EBR for this paper.Coding for EBR occurred within two types of data: student conversations and worksheets.Conversational instances of EBR were identified in terms of episodes since they reflect the back-and-forth dynamics of conversation. As such, some episodes contain multiple interweavinginstances of reasoning from evidence, but because of this interrelated nature, each episode wascoded as one instance of EBR. When coding worksheets for EBR, each individual instance ofEBR was coded separately since worksheets are a form
, homework, reports, and practical applications onthe job. By calling them practice sessions and tying them in with lectures, homework, andmultiple weeks of overarching topics based on a scenario, we have tried to make the sessions feellike less of a class and more of a “practice for after you graduate” atmosphere which stresses thatthe skills and experience will be useful later and reflective of what engineers do after graduation.A set of learning goals, split into 9 subcategories, was set up for all four courses anddistributed/grouped over the courses so it would match with the course content covered andtechnical skills learned to date. The MEP-1 course takes place in the first semester of thesophomore year and Statics is a pre-requisite or co
taken moments before a specific incident to draw conclusionsregarding the location, posture, and conduct of various passengers on a boat. One specificphotograph was used to determine the likely throttle position. However, this information wasobtained from a reflection off a pair of sunglasses (Fig. 3). Students were required to obtain aphotograph from any source that contained a hidden image revealing an interesting fact about thephotograph.Figure 3: Photograph presented during the marine engineering lecture illustrating a hidden imagereflected off a pair of sunglasses. The image on the right show a prop that was used in maritimeaccident reconstruction.The opinions presented during the lectures illustrated that conclusions drawn from analyses
semester, giving them anopportunity to interact with local community leaders. Prior approval of the community serviceplanned is required. Regular interactions of this kind will build the students’ networks, enhancetheir social skills, enhance their appreciation of the value of service to the university andcommunity, and reflect positively on the university and the FSSP. The FSSP includes proactiveand just-in-time mentoring of three types: peer mentoring provided by the University ofCincinnati’s McNair RECON Peer Mentor Program, mentoring from an assigned S-STEMproject faculty member, and research mentoring provided by the University of Cincinnati’sOffice of Undergraduate Research, Scholarly Endeavors and Creative Practice (URSC). Thesethree
Industrial ParkFLEAP travels, the students not only received a real-world understanding of renewable energyand sustainability, but received invaluable lessons related to international culture, politics,international perspective, travel, and language.Learning ObjectivesExperience-based learning is a widely accepted form of learning. One of the many examples ofexperience-based learning is that of education abroad programs. According to Kolb’sexperiential learning theory, experiential learning is "the process whereby knowledge is createdthrough the transformation of experience16.” There are four steps in the learning cycle: 1)Concrete Experience 2) Reflective Observation 3) Abstract Conceptualization 4) ActiveExperimentation. It is fairly simple to
enough rise time, so a simple switch is constructed from touching the W1 wire to theRS lead to create a step excitation. A long coaxial cable was utilized to allow the voltage ringing,which is due to the low oscilloscope bandwidth, to die out and reach steady state in betweenroundtrips of a transient. Figure 2a shows the oscilloscope capture of a transient on an open-circuit load ( RL ). An input voltage divider is apparent (2.5V transient launched on thecable), and the cable is shown to have a roundtrip delay of approximately 200ns, after which thereflected wave reaches the source and changes the input conditions. Calculations from themeasured voltages indicate an impedance of Zin Zo 50 before the reflected wave reachesthe source, and
more if briefactivities are introduced into lectures. Felder3 makes broad recommendations on howengineering teaching can be improved. Felder and Silverman4 argue that though students allhave different learning styles, and a small number of techniques can meet the needs of moststudents. They recommend using material that emphasizes practical problem solving andfundamental understanding. They also discuss the importance of reflective learning (along withactive learning). The author’s initial vision was to bring a can crusher to class and let thestudents answer some questions about mechanical advantage, thus extending familiar contentfrom their Statics course (drawing free-body diagrams, balancing forces and moments) to an ideathat was brand new
ideas shared, (4) “realized value” are theoutcomes of any applied value and (5)“reframing value” is a reflective process wherebyparticipants reevaluate their strategies and measures of success34.More recently however, network researchers indicate the need for a more sophisticated approachto analysis that takes into account the myriad factors outside of the network that impact results,including the evolving nature of networks. This indicates a need to analyze networks starting attheir emergence and onwards. Effectiveness of any network and the definition of effectivenessare, in addition, context specific, and so too should be the approach for evaluating networkeffectiveness30. This more progressive approach, when combined with social network
qualitative research process.5 After several interviews the researcherrevisited the notes from the individual interviews and then compared the notes to identifytrends.6 This process was repeated with every four set of interviews and again at the end of theinterview process. In the research memos, the lead researcher also reflected on theseinterpretations, noting her own thoughts, feeling, and preconceptions about the phenomena beingstudied.After all of the 20 interviews were completed, the researcher defined an initial set of conceptsusing the memos from the interviews as well as the transcriptions. Thoughts, quotes andparaphrased excerpts from the different interviews were grouped based on similarity using aprocess comparable to an affinity diagram
choices; so when we see students whoare not motivated to learn, a reasonable first hypothesis is that their task value motivation is low.This is a hypothesis shared by much of the engineering community. A very commonpresumption regarding students’ low learning motivation is that they simply don’t know thatengineers have use for writing skills, that “real” engineers write; and if only they did, surely theywould apply themselves in their writing classes. We can see some fleeting evidence of this kindof unmotivated student in qualitative data. For example, in case studies and interviewsengineering students have reported that they don’t see writing as important 1, or they viewwriting as incidental to the real work of engineering, reflecting cultural
. The greater the specificity of the task and theclearer the expectations, the more likely students will accomplish it and/or meet the expectations21, 22 . These objectives can serve as study guides for exams, as was done in this course22.Format of the 2015 CourseThe course was scheduled for 75-minute lecture periods on Monday and Wednesday, with a 110-minute lab period on Friday afternoon. This change was important, as it allowed for betterdistribution of classroom activities and more time for student reflection and learning betweenperiods. The instructor also adopted a different textbook23 with more narrative, and the studentevaluations reflected high satisfaction with this book. However, it was necessary to supplementwith more updated
homework assignments, midterm and final exams,and a final project. The final project required students to propose an electromagnetics-relatedproblem they would like to explore computationally, develop a computational model for theirproblem using MATLAB or a similar software package, and present their results in the form of ascientific journal paper. Example problems included finding a way to reduce lossy reflections offsolar cells and determining the maximum distance a railgun can launch a projectile.The professor perceived a few problems in this previous version of EENG 386. Students wouldfrequently clamor to see more example problems and applications during class time. While aclear attempt was made to devote time to these aspects of the course
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
provided them in the online videos. In addition,there was time for live student presentation and group discussions with a Q & A on thepresentations. Groups would meet not only on their own out of class to complete a courseassignment, but additionally in-class to apply the concepts they learned in the online modules.For example, groups would spend time on plan reading exercises and the instructor was able tospend time providing feedback to each group.4.3 Data gathering and analysis. Data was gathered through a reflective journal kept by theinstructor and a survey administered quarter into the semester and towards the end (AppendixA). 4.3.a Instructor notes: Given the new approach to teaching the instructor kept weeklynotes about the
through INSPIRE. c American Society for Engineering Education, 2016 Innovation and the Zone of Proximal Development in Engineering EducationAbstractRecent scholarship has emphasized incorporating innovation experiences into engineeringcurricula. These experiences are often positive, especially when students have the opportunity tosolve novel but challenging problems, navigate their own processes, critically reflect on theirexperiences, and receive appropriate levels of support and scaffolding. This study furtherexplores the role of scaffolding on innovation and non-innovative projects through the lens ofVygotsky’s theory of proximal development. Ten engineering seniors participated in
dealing with difficult work issuesEach topic was addressed by an expert or a panels of experts in research, teaching, leadership,and/or service.To receive credit, students were required to attend at least 12 of the 14 classes. In addition, theysubmitted pre- and post-surveys, a curriculum vita, teaching, research and service philosophies,questions for panels, course segment reflections, and e-portfolios. By the end of this seminar,students were expected to (a) describe realities of the academic job market, (b) articulate theirprofessional aspirations and competencies, and (c) develop materials to compete for and succeedin the academic job market.This seminar and its evaluation emphasize development of doctoral students’ understanding offaculty
mechanics to a mathematicaldescription. These kinesthetic/tactile activities can be directly connected to deeper thinking aboutthe how and why of the results.14,15 This type of activity reflects a fundamental aspect of theengineering modeling process where an engineer observes a physical phenomenon, e.g.mechanical behavior of a material, and develops ways to quantify the behavior to use in apredictive manner in the future. It is important to note that in this paper we use the termkinesthetic learning or hands-on activities to mean a physical activity that is meant to teach aconcept and develop a deeper understanding of the material, not just the performance of a skill orobservation of a phenomenon.The scope of this paper focuses on the conceptual
with theircurriculum10.Pedagogical GoalsThe touch synthesizer workshop began as a means to fill a gap in the existing UniversityElectrical and Computer Education and to enrich student experiences beyond the classroom byteaching surface mount soldering techniques. By introducing electronic assembly, analysis, andrework, in the context of making sound and music, we aimed to inspire students to connect theirinterests, hobbies, and passions with their chosen field of study, even if they are traditionallyisolated practices11. We hoped to draw a diverse audience that reflected the varying perspectiveson these practices, and encouraged high school outreach and pre-college involvement. Wewanted participants to gain exposure to manufacturing processes
identity are allowed to naturally separate themselves in this picture of theexperiences of the individuals. For example, students may be traditionally identified as comingfrom one or more underrepresented groups in engineering and, hence, assumed (wrongly) tohave some “different” attitudes about engineering, without attention to the diversity within suchgroups. Instead, the TDA approach allows for the “normative” or popular attitudinal clusters tobe first identified in the data, and then traditionally underrepresented individuals will appearwithin these attitudinal clusters in a way that is faithful to each individual's response (e.g., atraditionally underrepresented student who reflects dominant attitudes towards engineering willappear in that
concepts inNewtonian mechanics.Acceleration is a concept of crucial importance, which is connected to velocity and force inkinematics and dynamics, respectively. However, this concept is rarely used directly in everydaylife, and there is a lack of vocabulary to describe it. In the specifications of automobiles,acceleration is not listed directly; instead, it is described in the acceleration time from 0 to 60mph. This example reflects the definition of acceleration, which connects the two relatedparameters: the change of velocity and the time interval. With the unit converted, students canfind the acceleration easily from the provided time interval.The concepts of centripetal acceleration and force are a little challenging for most students
studied innovative teaching methodology inthe past forty years. Though, the definition of experiential learning has changed quite some overthe years, the main motivation stayed the same since was first defined by Dewey (1971):“thestudent learns by doing”. Therefore, if the students are immersed in an environment where theyare mentored to reflect, collaborate, and assess (Qualters, 2010), learning may then become alifelong process. According to Kolb and Kolb (2005), experiential theory allows students toapproach learning as a holistic process of adapting to the world. Hence, they, not only comprehendinformation more effectively, but also take active roles in creating further knowledge throughsynergistic interactions with their environment.One
about the pervasiveness of technology in our daily lives, and how unconscious andinsidious (e.g. cell phones and social media) as well as tremendously beneficial (e.g. medicineand transport) that enmeshment can be. Some students responded that they have changed theirphone usage because of what they learned in the class and as a consequence increased theirproductivity and sleep time. Other students reflected on how their projects have made them muchmore mindful of their personal contribution to their project topic, such as waste disposal. Inhis/her internship, one student stated that s/he “now always think[s] about the social andenvironmental consequences of the work I do.” By supporting the students’ qualitativecomments with quantitative
report. Students must report back to the fund indicatinghow the awarded funds were spent and how they brought their experience and knowledge backto campus. All successful applicants must submit a final report afterwards describing the impacton their learning experience, a reflection on their personal and leadership development goals, anda description of their contribution.Impact on the Engineering LeadershipSince its inception ten years ago, the SSAF has provided support for an immense variety andnumber of student activities. These opportunities range from local to international, and provideleadership development possibilities to hundreds of students each year. In 2015, 471 studentsreceived funding to pursue activities and opportunities of their