natural tendencies to action put them at a disadvantage in a self-paced coursecomponent. In addition to the quantitative data collected, we have interview data from seven of theparticipants. Analysis of the qualitative data is underway. The quantitative results are sufficiently TMpromising for us to expand the study. We plan to administer the Kolbe A during class time to allprecalculus students at the start of next fall semester.References [1] Ward Canfield. ALEKS: A Web-based Intelligent Tutoring System. Mathematics and Com- puter Education, 35(2):152, 2001. [2] Noel-Levitz. National Freshman Attitudes Report, 2012, An Exploration of Attitudes That Influence
emphasizes the second step in the above process. While this is not meant to be a tutorial,the example below should provide the reader with a sense of how the template is used. Detailedinstructions and the latest template can be found at www.ExcelProblemPedia.orgIt should be noted, the website repository is in its infancy and it, along with the templates andinstructional material, are works in progress. While over 100 different problems, primarily in Materialand Energy Balances, have been developed using some version of the template, most are not yet availableon the web site. In this stage, template development is much easier if a limited number of questions aredeveloped for the templates current version. It is planned that the beta version of the
underrepresentedstudents by serving as an integral part of a student’s development. Planning and professionalengagement with a mentor can help students to be successful in completing a degree in STEM and thepursuing a graduate degree in STEM. Mentoring can be especially essential for underrepresentedundergraduate students pursuing STEM degrees. Mentoring relationships provide students with apositive environment that can lead to networking opportunities and career opportunities after graduation,but only recently has research been conducted to fully understand the best practices of mentoringrelationships.Based on previous studies conducted, 82.4% reported positive outcomes for mentees.6 Students whohad a mentoring relationship usually had higher retention rates and
assistant in the mechanical and mechatronics lab at Drexel. He is also a researcher in Scalable Autonomous Systems Lab. His research interests are mainly in robotics which include motion planning and localization of ground robots.Prof. Tzu-Liang Bill Tseng, University of Texas, El Paso Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manu- facturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF, NASA
filters would beadequate to serve the needs of the people in Peru.Obtaining contact information for members of the Uros community who had broken filters fromprevious implementation trips and then speaking with them has been a great source ofinformation in attempting to discover why the filters stopped functioning. Remaining in contactwith the stakeholders of the filter project has been essential to its success, especially since boththe islanders and students have recognized the long term commitment between both groups.Overall, the Peruvian contacts continue to be an invaluable resource in the planning, analysis,design and implementation process.Future Work and ConclusionsWater filters have been a valuable resource for the islanders as evidenced
visualevidence (not bullet lists), and to explain that evidence by fashioning sentences on the spot (butonly after planning and practice). Research shows that presentations with the AE approach lead todeeper understanding of the content not only by the audience [5-7], but also by the speaker [8].Given its advantages, the AE approach is being increasingly introduced to college students throughcommunications courses and organizations such as the Engineering Ambassadors Network [9-10]. This paper is an exploratory study on the experiences of students presenting in post-graduate settings after learning the AE approach. In order to gage the resistance to and potentialof the AE approach in such settings, we surveyed thirty college students and young
academic plan. Courses that provide a self-pacedcomponent along with in-class contextual math applications may be a solution. Further researchinto these student groups will be conducted as population sizes allow. ReferencesAdams, Carolyn D., "Development of the Self-Advocacy Measure for Youth: Initial Validation Study with Caregivers of Elementary Students with Attention-Deficit/Hyperactivity Disorder" (2015). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/5445Alarcon, G. M., & Edwards, J. M. (2012). Ability and Motivation: Assessing Individual Factors That Contribute to University Retention. Journal of Educational Psychology, 105(1), 129- 137Ayotola, A., Adedeji, T. (2009
founded. We focus specifically on team management and student learning, which arekey areas that may be overlooked by new small satellite team leaders, who are often focused onresearch plans and funding acquisition. We have found that the team’s technical success dependsgreatly on personnel management. In the university environment, where student researchers aretypically volunteers and annual turnover is high, a careful strategy for recruiting, training,supervising, and retaining team members is critical to successfully building a small satellite.WALI’s programmatic challenges fall into three categories: (1) recruiting and retaining qualifiedstudent members, (2) training students in key technical skills, and (3) directing and supervisingstudent
Students'Motivational Values. Matusovich, Holly M, Streveler, Ruth A and Miller, Ronald L. 2010, Journalof Engineering Education, pp. 289-303.12. Empowering Undergraduate Engineering Students to Connect Laboratory Experiences withIndustry Applications through Fictional Clients. Keshwani, Jennifer and Curtis, Evan. Orlando, FL :American Society of Agricultural and Biological Engineers, 2016.13. Cresswell, John W. Educational Research: Planning, Conducting, and Evaluating Quantitativeand Qualitative Research, 3rd Edition. Upper Saddle River, New Jersey : Prentice Hall, 2007.14. The "Threads" of Biosystems Engineering. Briassoulis, Demetres, et al., et al. 2014,Transactions of ASABE, pp. 307-330.
has been offered nine times since 2004, but this was the first time such an open-endedfinal project has been used. Anecdotally, the authors observed an obvious increase in excitementand enjoyment on the part of the students due to this project. We plan to continue to use suchprojects in the future.References [1] C. S. Burrus, “Teaching filter design using M ATLAB,” in Proceedings of the IEEE International Con- ference on Acoustics, Speech, and Signal Processing, pp. 20–30, Apr. 1993. [2] R. F. Kubichek, “Using M ATLAB in a speech and signal processing class,” in Proceedings of the 1994 ASEE Annual Conference, pp. 1207–1210, June 1994. [3] R. G. Jacquot, J. C. Hamann, J. W. Pierre, and R. F. Kubichek, “Teaching digital filter design
of a computer project given in an undergraduate environmental engineeringclass, CIVE 4830 – Hazardous Waste. The class is a senior level class, taken by studentspursuing an environmental concentration or planning on continuing their graduate studies inenvironmental engineering. This class covers topics that include identifications andclassifications of hazardous waste, physical and chemical properties of pollutants, toxicityassessment, fate and transport of contaminants, and remediation techniques. Introducing acomputer modeling project was a natural addition to the fate and transport section of the course,and supplemented well the concepts presented there. The use of computers has become a necessary part of the education of students
resources for handling audio files, naturallanguage processing, visualization, and machine learning.The examples in this paper are straightforward and can be understood by students having anintroduction to signal processing. Students in our electrical engineering program as well asbiomedical engineering with electrical engineering concentration will have some experience withMATLAB scripting. They should also be able to use prewritten Torch scripts.My role is as an instructor, planning for and directing our student work. In our next step, we willuse one package to develop tools for student researchers, to first assist and eventually automatethe analysis of such sound files. Given the investigative nature of our overall research, I avoidedcompiled
teamsand pursue different topics.The last two thirds of the semester had the students first plan, and then conduct, a set ofexperiments to test out their hypotheses. The final result of the class was a group report andpresentation. There was an open invitation to the M.E. program to come and observe the finalpresentations. The deliverables for the course were typically: Final group presentation Final group report Individual executive summary of their work Peer assessment of their fellow team membersSince the composite materials elective course is offered about every other year, there was noassumption that the students had taken that course before they took this one. Students wererequired to have taken the strength course so
first hand example of how the calculations and material covered in class is used to help design and use a product.” “It was a cool applicable demonstration of how strengths analysis is needed in any industry....” “It was very informative and very neat.” “Showed a real life application...showed software and Excel integration well.” [It showed…] “how complex impact loading is and how it can be measured in the real world.” “Safe design should plan also for possible mis-use and stress, not just intended use.” “Real world example of testing.”As shown, most comments recognized the value of a “real world” example of how theory isapplied. In addition, side benefits were mentioned such as learning
(strongly disagree) to 7 (strongly agree). The engineering identity scalehad acceptable internal consistency (α = .78).To measure fixed and growth mindsets, the implicit person theory scale (Dweck & Leggett,1988) was divided into two scales measuring growth items such as “No matter who you are,you can significantly change your intelligence level” and fixed items such as “The kind ofperson someone is says something basic about them, and it can’t be changed very much.”Responses ranged from a scale of 1 (strongly disagree) to 6 (strongly agree). The fixed mindsetscale had internal consistency of α = .63. The growth mindset scale had internal consistency ofα = .74.Plan of AnalysisDescriptive statistics were analyzed using IBM SPSS Statistics 24
. “[The On-Site Director] is, I would say, the key to the program up there. He’s the guy that really, having an engineering background himself, was able to put this all together. And in coming from that area I think he saw things that nobody else could see in terms of relationships with the engineering mines up there, and…he’s a local, and is held in really high regard. I would say he was the architect of the plan from the [region]. He had to sell it to everybody up there, and then he had to come down here and take abuse from our deans…and department chairs. And so he went through quite a few hurdles to sell it. And also promote it nationally.” [9] Help recruit and retain talent: Highlighting the intersection
project for next year’s class.Additionally, an objective measurement will be made to gauge the improvement of student ability.Future Project ImprovementsBased on student feedback from the survey and grading the submitted projects, several changesare planned for the next version of the project. One issue was that the project was not assigneduntil the end of the course when all the topics and been covered. This did not allow enough timeto thoroughly complete the project and complete a report. In the fall, the project will be assignedearlier as the data collection and FEA can be done before covering the final topic of continuoussystems.Students appreciated using the Arduino and the sensor but felt the code template gave them toomuch at the start of
topic or content, the librarianalways referred the teams back to the professor for clarification.AssessmentThe librarian is working on assessing her teaching with the teams and learning what the studentsneed in terms of research resources. She has partnered with an Education Librarian to exploredifferent methods to assess the two classes. Currently they are using a one-minute essay todocument what students have learned after the first library session. Later, after the due date ofthe technical paper, they plan to hold focus group sessions with the students to learn about theirresearch needs and how they filled them. Another idea for the fall semester is to follow a fewteams and determine when and how often the students need intervention from the
pretest (n=130, unpaired t-test, p<0.0001, 35+11 vs26+12). There was no significant difference between any of the exam grades or final coursegrade (77+8 vs 75+7, p>0.2) for students who had completed AP biology versus students whohad not had AP biology.Figure 3b: The combination of individual learning and classroom activities benefited everystudent such that they all achieved the course learning objectives prior to each of the exams.Molecules and Cells is a required four-credit course in the Johns Hopkins University ABETaccredited BME program. Students are told on the first day of the course that they should plan tospend ten to twelve hours on the course each week between attending the three lectures andThursday section, completing the
for seriousgame development incorporating game design and instructional design (2). This process, shownin Figure 2, has been reemployed in the development of CAPTIVATE which has greatlydecreased the overall startup time for initial game planning and development. By focusing onplayer, instructional design, and game design characteristics at each stage of the overalldevelopment process, the final product is sure to meet the goals of all three. Figure 2: High level process showing the development cycle including player, instructional design, and game design characteristics. Source: (2)In addition to the process, the model that was developed followed a modular programmingmethodology incorporating clean interfaces between components. This design
Kanti Prasad Ph.D., P.E., F.ASEE Professor Electrical and Computer Engineering Dept. Founding Director Microelectronics/VLSI Technology, University of Massachusetts Lowell During my teaching of the State-of –Art courses for the last 30+ years, I have realized that thefoundation of any Hi-tech course lies in the fundamentals. The fundamentals are derived from Physics,Chemistry and Mathematics. Nevertheless, Physics plays a crucial role in Engineering. I plan to depictthis role in all my state-of-art courses. I am teaching at the moment i.e., 1) EECE 5020 VLSI Design, 2)EECE 5040 VLSI Fabrication, 3) EECE 5170 MMIC Design and Fabrication through detailed examples.In addition, I also reiterate the
, 3) Design slides that increase effectiveness of communication anddelivery of content, 4) Interact in teams to design slides and present topics. Table 1: Weekly Schedule for Technical Communications Course WEEK LECTURES DISCUSSION ASSIGNMENT Week 1 Changing the Conversation Journal on Pair up and make 4-5 slides on theme Changing (no guidance) prep 4 min team the Conversation presentation Week 2 Presentation Planning and Rubric PRESENT 1 Presentation Review – Feedback & help on
participants to the decision to implement them andseveral members had a chance to do so during the first year of TDG functioning. However, somemembers deferred the implementation of new ideas to the future for various reasons (e.g., thecurrent class was already planned or the idea was not suitable for the current class). Reasons fordelaying implementation included the implementation difficulty of particular strategies or thelack of leeway in the course structure. The decision to implement and the actual implementation of new ideas, however, werefound to appear not only as a consequence of learning outcomes. For some participants, thosephases appeared as a consequence of other participation outcomes, such as generation orvalidation of
members of the research team to consistently analyzethe remaining open-ended survey documents and eliminate inconsistencies due to who wascoding. More information about our coding process and the development of the codebook can befound in a recent paper by the researchers (Kajfez, McAlister, Faber, Ehlert, Lee, Benson, &Kennedy, 2017). Table 1: Excerpt of codebook used to define codes Code Name Code Definition Code Includes Code Excludes Includes performing, Student discussion of doing experiments or Not planning experiments,Experimenting performing experiments or testing things. Trial and collecting or analyzing
reducing the complexity for end users.In the next phase of this project, we plan to conduct a usability study with current practitioners todetermine whether the tablet interface is useful to a practitioner during a therapy session. Basedon this feedback, we will modify the tablet interface, and add more behaviors to the NAO and tothe app to broaden its applicability to more patients.References[1] SoftBank Robotics, "Discover Nao, the little humanoid robot from Aldebaran | Aldebaran," [Online]. Available: https://www.ald.softbankrobotics.com/en/cool-robots/nao. [Accessed 5 July 2016].[2] SoftBank Robotics, "Choregraphe User Guide," [Online]. Available: http://doc.aldebaran.com/2-1/software/choregraphe/index.html. [Accessed 5 July 2016].[3
through “engineering log books.” Each member would submit a summary of his orher progress from the previous week. This summary included tasks completed, time spent on tasks,surfacing issues and troubleshooting, and intended plans for the succeeding week. The secondmethod for progress evaluation incorporated a more neatly formatted compilation of teammembers’ progress through “bi-weekly reports.” Bi-weekly reports were used to examine overallteam progress in relation to the Gantt chart as opposed to just individual efforts. The third methodfollowed progress overviewed in bi-weekly reports in the form of formal progress presentations.This allowed the student teams to present overall progress of their products, discuss any issuesoccurring, and
technical, complex topic. The authors plan to assess theeffectiveness of the learning tools in the near future, through a direct measurement of GD&Tknowledge acquisition and retention, in addition to self-reported satisfaction and self-efficacydata collection from the students. These data will be compared with a control group of a similarpopulation taught GD&T in a more traditional manner, such as through diagrammatic lecture-based delivery.References[1] S. A. Sorby, "Educational Research in Developing 3‐D Spatial Skills for Engineering Students," International Journal of Science Education, vol. 31, pp. 459-480, 2009/02/01 2009.[2] G. M. Bodner and R. B. Guay, "The Purdue visualization of rotations test," The Chemical
understanding of student experiences in these classes will provideguidance on creating and sustaining a welcoming environment for all students.Overall, the differences in perceived abilities and learning environment between women and menwere not as large as we had feared at the beginning of this study. This may indicate that ourefforts to combat implicit bias were partially successful, although since we do not havepre-implicit bias activity data, we cannot be certain. While there is definite room for improvementin our classes, it is encouraging to note that the women’s responses are somewhat similar to themen’s responses.Going forward, we plan to: • Continue to administer the surveys and use results to guide future course development and other
of traditional, competitive, and contemporary design priorities and features that are valued by stakeholders - the contemporary items include environmental, social, and sustainable design priorities, ● The Feature/Design view clearly identify comparative feature attainment for multiple candidate designs, ● The views use the same feature set for both designing the system and selecting a final design from a set of candidates.Future WorkSeveral future activities are planned to continue this work. These views will be incorporatedwithin capstone design courses that have currently adopted the approach outlined in Simoni et al.This will provide an opportunity to gauge their effectiveness at improving design
pre- survey question 6. The affirmative 40% in both the preand post delivery response can be attributed to those students who are not interested in Controls as asubject and they feel that they are forced to take the as a required course.Question 7: approximately 75% students liked the laboratory exercises., which is a good response.Question 8: approximately 80% students answered that the industry demands Digital Communica-tion.Some of the suggestions to improve the course are as the following: 1. Have some hardware experiments involving data transmission between two systems. 2. Have some hardware experiments involving Internet of Things (IoT) long distance action. 3. Plan a visit to some local communication industry.The