.4Approaches used to facilitate transfer of learning include the use of reflective writings,contextualization of learning experiences, and application of learning to real life.4 To make transferof learning explicit to students, instructors advise students to take courses in the appropriatesequence, emphasize in each course the material transferable to other courses, model transfer byinviting guest lecturers, develop students’ metacognitive skills, and reinforce concepts by usingthem often and in different contexts. However, regardless of the strategies used, transfer of learningdoes not occur automatically. Curriculum and course design should emphasize the connectionbetween courses to stimulate transfer.The primary strategy used at our institution to
Page 26.238.7assessment model tests students’ level of motivation based upon five recommended componentsthat an instructor should consider when designing instruction: eMpowerment, Usefulness,Success, Interest, and Caring. The assessment instruments are modified by changing thequestions to reflect the student’s use of OWLS according to the recommendations by Jones14 inorder to test specifically how use of the OWLS by engineering students impacts their motivationlevels. The questions based on the MUSIC model are being used in the spring 2015 assessments. Quantitative data and analysis (discussed later in the Data Analysis section) results instatistics that provide insights and answers to the research questions in this study. However
experience,conceptualize, perceive, and understand various aspects of, and phenomena in, the world aroundthem.” Experiences and phenomena are perceived differently by each individual, sophenomenography seeks to describe the “collective human experience of phenomenaholistically” 29. Based in variation theory, phenomenographic studies result in the keycomponents that comprise the variation under investigation 25,30,31. These categories ofdescription “contain a variety of conceptions and thus indicate that there are differences in theways a phenomenon is understood” 32 and may be depicted as a taxonomy or hierarchy ofunderstanding. The categories of description do not represent the individual responses fromparticipants, but instead collectively reflect
Schuster1). Precollege characteristics - like high school grade pointaverages - as well as university entrance exams have, in general, turned out to be usefulpredictors of student retention.A prior investigation of the drop-out probability at the engineering department of ouruniversity (Andreeva-Moschen2) clearly showed that the university entry scores can be usedto identify groups of students at higher risk of failure. It also turned out that the probabilitydistribution for student drop-out depends on the type of high school the students graduatedfrom, namely secondary colleges of engineering or traditional high schools. Interestingly, theuniversity entry score distribution does not reflect any differences in this respect, which might
reflects the rapid growing IT industry and Page 26.1764.2covers a wide spectrum. The new program's laboratory is under continuous update to enhancestudent's hands-on experience with cutting-edge equipment. Similar to the curriculum design, thelaboratory development benefits significantly from industry help and donation.This paper presents the curriculum and laboratory upgrade. The paper is organized as follows.Firstly, the role of industry is introduced. Then based on the feedback from industry, the updatedNIT curriculum is presented, followed by the upgraded NIT laboratory. Finally, the paperconcludes with the future work.Collaboration With
]. Page 26.720.4 Figure 2. Kolb’s cycle of experiential learning[16].According to the Kolb’s cycle, the four experiential learning stages are Concrete experience,Reflective observation, Abstract conceptualization and Active experimentation. In this project, theKolb’s Experiential Learning Theory is applied during the EMDLS design and implementation toimprove student learning and professional development.2. Project OutlineThis project focuses on the design and deployment of a microprocessor based EMDLS to collectenvironmental data from the 3,000 L raceway tank which forms the basis of the microalgae andshrimp aquaculture system. The data provided by the system will be used in the daily managementof the operation as well as
statement needs to incorporate the needs of theconstituents and the strategic plans of the city and state officials. Save your brainstorming map asthis will form part of your deliverable. Create a strategic sustainability vision statement (2 to 3sentences) that will reflect the needs of the City of Goodyear.Part B: 10 year strategic sustainability plan for transportation systemsUsing the vision statement your group has crafted, create a high-level 10 year strategic andsustainable transportation system feasibility plan for the City of Goodyear. You have a budget of$500,000 dollars to develop this feasibility plan. Be sure to address the functional areas outlinedin this link: http://www.goodyearaz.gov/government/city-manager-s-office/strategic-plan
,24 among other attributes. Ithas been suggested19 that designers of learning environment draw inspiration from game designprinciples to engender active learning, reflection, collaboration, diverse learning opportunities,motivation, etc.As evidenced from the above, there exists a compelling opportunity to integrate the technologyof robotics and student interest in gaming to teach computer programming to K-12 students andto enhance their lateral creativity for creative problem solving.25,26 The idea of constructing andprogramming a physical robot makes the classroom come alive, allowing the students tounderstand that classroom math and science concepts are critical to solve real-world problems.Even as robot games are used to enrich students
approach for constructionmanagement education which requires students to be active participants in their own education.Students learn far more by doing something active rather than by simply watching and listening2.Therefore, to take advantage of the studio-laboratory format of the course proposed in the newcurriculum, the faculty was challenged with developing experiential learning experiences toenhance student learning. Page 26.455.3Experiential LearningExperiential learning is learning through reflection on doing, which is often contrasted withdidactic learning. Experiential learning is related to, but not synonymous with
focused oncommunication and collaboration, as the benefits to the construction process by improvement inthese areas is obvious 18, 11. Two types of technology have dominated in these areas, buildinginformation modeling (BIM), which has established a solid reputation for collaboration 2, andcloud computing, which has emerged more recently as a solution for collaboration 1, 10, 12. Whileaspects of BIM and cloud computing continue to emerge, in general they are rapidly becoming atypical component in the construction process, whereas a few years ago they were cutting edge.Because of this rapid pace of change knowing what direction technology is heading is vital.Technology in construction education should reflect that of the industry, but a variety
children whowere vastly different from typically developing children, but as individual children who, like allchildren, have needs, abilities, strengths, hopes, and dreams. Written reflections from theengineering students revealed the following comments: “When I saw (the child’s name) try out the Play and Mobility Device, it was wonderful to see the smile on her face.” - Biomedical Engineering Student Page 26.628.9 “I learned that children with special needs can also develop gradually …and interact with their environment..” – Biomedical Engineering Student
equations and calculations. The curricularmaterials developed in our workshop specifically target research-identified misconceptions, andare intended to help students distinguish between similar concepts.Lessons LearnedWe will present three general lessons we’ve learned through our collaboration and reflection. Inpresenting these findings we distinguish between researchers and instructors, but note that mostengineering educators perform some combination of the two roles. Additionally, we note thatmany of these lessons refer to commonly held intuitions about the interactions of research andpractice in education. We seek here to surface and further develop these intuitions intoproductive public discourse.1. We need to attend to the differences in
American students more strongly than any otherminority group. AfA students were also influenced by social supports. Compared to the othergroups, AfA were less influenced by influence from others but had a higher level of influencefrom pre-college activities. The relatively high influence from interest in STEM as well as pre-college activities is mostlikely explained by the fact that many of the African American students in our sample went toSTEM focused high schools and were recruited specifically from them. Our data reflect thispotential explanation, as AfA were relatively more influenced by recruitment and financialavailability (scholarships) compared to their peers. The finding that exposure to STEM classesmotivated these AfA students to
cases, the spring represented the continuation of a project begun in the fall (e.g., for asenior design class). The semi-structured interviews 1) gathered background information aboutparticipants, 2) explored participants’ descriptions of the team functionality during the project,and 3) asked participants to reflect on the experience in the context of their engineeringeducation and identities. Each interview was audio recorded and transcribed verbatim. Typically,the interviews lasted 45 minutes and each was conducted as least three weeks a part.For each participant, data analysis followed the process outlined by Hycner [9] and included thefollowing general steps: 1. Bracket or block out personal views of the phenomenon of interest to minimize
parallelarrangements is used to demonstrate the underlying resistance addition rules. Although thisserves as a good hands on experiment to test the principles of resistance, it often leaves studentswith very few possible combinations to build in the lab, and does not reflect the innatecomplexity of even the most basic of modern circuits. Moreover, typically students aredisconnected from the theory when using rudimentary laboratory equipment to make fairlysimple measurements. Since it has been demonstrated that a more engaged and active approachto physics education has a more lasting effect on the retention of material [2], it was our goal to Page
that the nature ofthe information provided by reviewers impacts the actions taken by the reviewee to reduce thegap.Giving feedback is an important skill for engineering professionals both in industry16 andacademia17. In engineering education, this skill is linked to the fulfillment of multiple studentoutcomes, particularly those related to problem solving, design, communication, andprofessionalism18. Feedback provides a means for thinking deeply about someone else’s work,reflecting on one’s own work, and receiving and interpreting criticism. Although an ability toprovide high quality feedback is an important skill in engineering, it is lacking amongengineering professionals19, professors20, researchers17, and students21. There is
have transferred to a 4-year university. This subsection willalso be information when we compare the responses from transfer students to traditionaluniversity students in the future. Self-efficacy was assessed by asking the students to indicatetheir level of agreement to six statements on a 5-point Likert scale.We also asked all students to indicate what hurdles they expect to face if and when they enter a4-year university institution (refer to Section 1 of Appendix A, however note that the specificwording was designed for the existing transfer students. The wording was changed for theanticipating students to reflect their future concerns). This subsection was designed to assess theissues and concerns transfer and potential transfer students
global labor market. Furthermore, the most talented employees arethe ones with the greatest opportunity to be mobile. In this context, academic mobilityrequires a wide variety of personal qualities: talent to interact efficiently with other people;analytical thinking; communicative skills that include cross-cultural communication; thecapacity for self-awareness and self-reflection; a willingness to act in the cross-culturalenvironment; as well as respect and tolerance. An academically mobile student is ready for life changes. This quality is revealed inspecific socio-psychological attitudes [4]. Among other factors that allow for academicmobility, it is necessary to note a students’ capacity for independent design of theireducational
ePortfolios and reflective practice in higher education; and 3) reimagining the traditional academic transcript.Dr. Mary E. Besterfield-Sacre, University of Pittsburgh Dr. Mary Besterfield-Sacre is an Associate Professor and Fulton C. Noss Faculty Fellow in Industrial Engineering at the University of Pittsburgh. She is the Director for the Engineering Education Research Center (EERC) in the Swanson School of Engineering, and serves as a Center Associate for the Learning Research and Development Center. Her principal research is in engineering education assessment, which has been funded by the NSF, Department of Ed, Sloan, EIF, and NCIIA. Dr. Sacre’s current research focuses on three distinct but highly correlated areas
other intercultural competencies.Results - Part 1: International Collaboration: Barriers & RecommendationsAs part of their blogging reflections, delegates were asked to list five factors they consider to bebarriers to international collaboration for underrepresented minorities, particularly related towork/life balance. They were also asked to provide recommendations for dealing with suchbarriers. The following sections provide an overview of common factors discussed among thegroup both from the general perspective of being underrepresented minorities as well as relatedto the issues specific to women.Both male and female delegates listed lack of knowledge as one barrier to participation ininternational collaboration. As one male Latino
, with average doctoral graduation ages of 30, 31.2, and32, respectively, whereas students in humanities (average 34.2) and other non- science andengineering fields (36.2) skewed slightly older19. While it’s likely that this difference ingraduation age between fields is due in part to a higher proportion of returning students in non-engineering fields, it may also reflect differences in average time to degree and proportion of parttime students in these fields. Of all of the doctoral degrees awarded in engineering in 2012, 22.2percent were awarded to women20. Among 2012 engineering PhD recipients that were USCitizens or permanent residents, 69.8 percent identified as white, 15.7 percent as Asian, 5.4percent as Hispanic, 4.3 percent as Black or
useful interaction Not enjoyable Not as efficient Need interesting as other discovery and present peers behaviors Need instructors Did not realize to encourage benefits collaborationObserving Not reflective or Lack ability to Unstructured – Not emphasized attentive to associate from benefits not in many classes everyday
Introduce project!! template Choose Semester Research Initial References, PowerPoint Limitations or Bias in Individual reflection on Grand Group Discussion on
reflection of the socioculturalinfluences that are a tenant of the Industry Fellow model. Even when using video technology forvirtual classes, it is difficult to replicate the personal interaction of a true face-to-face class.Table 3. Industry Fellow (IF) Impact on Learning Survey Question Original “Light”* Original “Heavy”* Replication Study IF material: comprehension 94% 91% 82% IF material: retention 94% 91% 76% All material: comprehension 94% 91% 82% All material: retention 94% 91% 70%* Original survey question
they were/are, their undergraduate education, which courses they tookand extracurricular organizations they participated in at the University of South Florida prior toservice, if and where they published their research in an academic journal, and their currentemployment.The second part of the survey had the alumni or student rank how each of the MIP elementssatisfied the four global competencies on a scale of one to five (one being not at all, two being alittle bit, three being somewhat, four being well, and five being very well). This part of the onlinesurvey was divided into three pages: pre-Peace Corps service (on campus), Peace Corps Service,and post Peace Corps service. This reflected the three stages of the MIP. The pre Peace
context of the performance criteria. objectives and the sustainability outcomes as curriculum. university’s core themes related to improvability and Outcomes are (i.e., strategic and learning endurance are not The program may be contextualized in the goals). necessarily considered. developing performance curriculum and reflect the
process 13% 25% 11% Help with career path 0% 25% 7%Before the workshop, all of the participants knew how to define racism. However, 67% of theattendees did not know what a micro-aggression was. Surprisingly, none of the faculty listedpossible benefits of being proactive. Students listed that some people may be shy (22%), can't sit Page 26.565.10and do nothing (22%), you get to learn (11%) and can avoid potential problems before theyoccur (22%).Post session methods to increase participation were more concrete and reflected that sessionattendees did learn something (Table 4
strong tool for dealing with this problem.12 Simulation is a problem-solving exercise that is undertaken collaboratively and may besolved through a combination of character identification, shared decision making, investigativeinquiry, and reflective practice within a scenario context (Fisher, 2005). Although the importance Page 26.582.5of hands-on labs to the technology curriculum cannot be denied, Garcia (1995) cites severaladvantages of computer simulations compared to laboratory activities.13 First, there appear to beimportant pedagogical advantages of using computer simulations in the classroom. Second, thepurchase, maintenance, and
instructor reflection students Entry Data Implementation & Assessment Cycle Redesign Faculty the Course participants Collect Student Midterm Assessment Faculty,staff, and Midterm and instructor reflection
B is less a reflection ofhighly self-determinant engineering degrees and more a reflection of less curricular choice acrossthe board at this institution. This trend is perhaps not surprising considering that University B isa technically focused institution, with more than 90% of the school’s undergraduate populationenrolled in engineering degree programs.University CUniversity C is a private, Master’s University (large program) 11 with a 2013 undergraduateuniversity population of approximately 4,900 students and a full-time undergraduate engineeringpopulation of approximately 800 students. Page 26.1512.10Engineering degree program Choice