potentially important variables for predicting future grade of the students in statics course. Onthe other hand, chi-square statistics also shows that gender, number of prior attempts and inclusionof adaptive learning module do not significantly influence the grade.MODEL AND ESTIMATION RESULTSEconometric ModelIn this research, we employ the ordered logit model for studying the ordinal categorical variablegrade with the categories defined as Fail/Withdraw (DFW) and Pass (ABC).Let j be the index for the discrete outcome that corresponds to grade for student q. In orderedresponse model, the discrete grade levels (𝑦𝑞 ) are assumed to be associated with an underlyingcontinuous latent variable (𝑦𝑞∗ ). This latent variable is typically specified as the
Number of Reviews 2012 Reviews 2018Mindware physics Physics Concepts 51 71WorkshopMindware Q-BA- Engineering and 51 717MAZE 2.0: Big Box ConstructionMindware Math & Science 50 124Microscopic kit &bookMindware Chaos Engineering and 43 68Tower ConstructionMindware Equate Math & Science 51 51Mindware KEVA Engineering and 50 70Contraptions (200 ConstructionPlank)Mindware Snap Physics Concepts 32 174Circuits (500piece)Mindware KEVA Engineering
defined as Fail/Withdraw, D, C, B, and A.Let j be the index for the discrete outcome that corresponds to grade for student q. In orderedresponse model, the discrete grade levels (𝑦𝑞 ) are assumed to be associated with an underlyingcontinuous latent variable (𝑦𝑞∗ ). This latent variable is typically specified as the following linearequation: 𝑦𝑞∗ = 𝛼′𝑧𝑞 + 𝜀𝑞 , 𝑦𝑞 = 𝑗 if 𝜓𝑗 < 𝑦𝑞∗ < 𝜓𝑗+1 (1)where, 𝑧𝑞 is a column vector of exogenous variables for student 𝑞, 𝛼 is column vector ofunknown parameters, 𝜓𝑗 is the observed lower bound threshold and 𝜓𝑗+1 is the observed upperbound threshold for grade j. 𝜀𝑞 , with logistic distribution, captures the idiosyncratic effect of
Questions Never % Rarely % Sometimes% Often% Always% Figure 2 : Level of agreement post-moduleFigure 2 shows the percentage response after completing the group-based productdesign/empathy module. Below is a breakdown of the responses from the class to the questionsmentioned in Table 4.Q.1 “When I don’t understand someone’s point of view, I ask questions to learn more”. The average class response was 4.3. Standard deviation for this question was 0.2561.58% of the class responded “often” and 0% as “never” and “rarely”.Q.2 “When a friend is upset, I try to show them I understand how they feel”. 61% of the class responded “often” which was the highest
academicallymature individuals with work experiences outside of college. This information would be valuablefor identifying the precise needs of SCS undergraduate students and targets for intervention andprogrammatic efforts to facilitate their academic and career goals and support their well-being. Specifically, we examined the following research questions:Q.1 How do SCS undergraduate students differ from traditional undergraduate students andgraduate students in terms of needs based on their levels of school and personal demands andresources?Q.2 How do SCS undergraduate students differ from traditional undergraduate students andgraduate students in their levels of student outcomes?MethodProcedure In April of 2019, a link to a 57-question
, pp. 137-144. DOI: https://doi.org/10.1145/2493394.249340823. Nagappan, N.; Williams, L.; Ferzli, M.; Wiebe, E.; Yang, K.; Miller, C.; and Balik, S. (2003) “Improving the CS1 experience with pair programming,” In Proceedings of the 34th SIGCSE technical symposium on Computer science education (SIGCSE '03). ACM, New York, NY, USA, 2003, pp. 359-362. DOI: https://doi.org/10.1145/611892.61200624. Porter, L.; Bouvier, D.; Cutts, Q.; Grissom, S.; Lee, C.; McCartney, R.; Zingaro, D.; and Simon, B. (2016) “A multi-institutional study of peer instruction in introductory computing,” In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 2016, pp
-engagement-visible/.[16] Eberly Center for Teaching Excellence: Intercultural Communication Center, “Recognizing and Addressing Cultural Variations in the Classroom,” 2006.[17] Q. Zhu, “Toward a Globalized Engineering Education: Comparing Dominant Images of Engineering Education in the United States and China,” Am. Soc. Eng. Educ. Annu. Conf. Expo., 2019.[18] W. Sun and Q. Zhang, “How to Build an American Classroom Environment in a Chinese Engineering College,” Am. Soc. Eng. Educ. Annu. Conf. Expo., 2015.[19] G. J. Ryan, L. L. Marshall, K. Porter, and H. Jia, “Peer, professor and self-evaluation of class participation,” Act. Learn. High. Educ., vol. 8, no. 1, pp. 49–61, 2007.Appendix – Final Version of the Participation Log
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Presentation and Design Office room Week 6 Q&A (1) 15 Friday “40% Design” Submitted electronically Week 6 Report Friday Preliminary Report 5 Submitted electronically Week 10 Thursday Submitted electronically Final Report 60(2) Week 12 -AND- Hardcopy delivered Friday
average group scoreGavg , given by 1 m Gavg = ∑ G j , m j=1where m is the number of groups in the class and the score of group G j , is given by q G j = ∑ Wi Xi, j . i=1Here, q is the number of scored questions in the survey, Wi is the weight of question i, and Xi, j is the fitnessmeasure for group j with respect to question i in the range [0, 1]. The value of the fitness measure, Xi, j , is dependent on question type and is defined below. For
scheduling and associated modifications asneeded. The acceptance letter also included anticipated benefits and commitments, such as: Participating in STRIDE sessions held once a week Reflecting once a month through an electronic journal guided by instructors Attending meetings for a professional group of your choice recommended by instructors Receiving training on peer mentoring for future STRIDE cohorts Demonstrating the use of recommended study methods weekly, for example, through display of out-of-class notes and Q&A with instructor on notes and weekly schedule.It was also explicitly highlighted that there was no cost to students to participate in the program,and contact
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, “Predicting Undergraduate Student Retention in STEM Majors Based on Career Development Factors,” Career Dev. Q., vol. 65, no. 1, pp. 88–93, 2017.[3] J. G. Cromley, T. Perez, and A. Kaplan, “Undergraduate STEM Achievement and Retention: Cognitive, Motivational, and Institutional Factors and Solutions,” Policy Insights from Behav. Brain Sci., vol. 3, no. 1, pp. 4–11, 2015.[4] R. W. Lent, A. M. Lopez, F. G. Lopez, and H. Bin Sheu, “Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines,” J. Vocat. Behav., vol. 73, no. 1, pp. 52–62, 2008.[5] A. Carpi, D. M. Ronan, H. M. Falconer, H. H. Boyd, and N. H. Lents, “Development and Implementation of Targeted
, Recurrent Neural Networks with Python Quick Start Guide: Sequentiallearning and language modeling with TensorFlow, Packt Publishing (2018). ISBN-13: 978-1789132335.[12] Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, 2nd ed.,A Bradford Book (2018). ISBN-13: 978-0262039246.[13] Maxim Lapan, Deep Reinforcement Learning Hands-On: Apply modern RL methods, withdeep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, PacktPublishing (2018). ISBN-13: 978-1788834247.[14] François Chollet, Deep Learning with Python, 2nd ed., Manning Publications (2017). ISBN-13: 978-1617294433.
∞ 𝑅ℎ𝑒𝑎𝑡 𝑠𝑖𝑛𝑘 = Eq. (1) 𝑞, where 𝑇𝑠 is the average surface temperature of the simulator, 𝑇∞ is the air temperature in thetest section and q is the power supplied to the heater. The heat transfer problem is simplified asone-dimensional heat conduction that is normal to the wind direction. Additionally, thetemperature at the base of the heat sink is assumed to be the same as the temperature of thesimulator for simplicity. That is, the thermal resistance of the thermal interface material isneglected. Tꚙ T
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, and it will focus on mechatronics in theaerospace applications. Both workshops will take two days, where one day will focus onmechatronics workforce education systems and pedagogies, and the second day will be dedicatedto the current and prospective mechatronics developments and new technologies that can beapplied in workforce education. The workshops will be recorded and set up for live streaming tothe general public on YouTube and other social media, and at workshop Q&A sessions the livestreaming system will turn to a webinar form allowing deep interactions among local and remoteparticipants. If the facility allows, the workshop video will be taken by multiple video cameras tocreate a real time VR environment for local and remote users
). References1. Quan, Q., 2017, Introduction to Multicopter Design and Control, Springer, Singapore.2. XOAR Propellers and Motors, Retrieved on 10/3/19, URL: https://www.xoarintl.com/brushless-electric- motors/titan/titan-T5000-heavy-lifting-series.3. Harrington, A.M., 2011, Optimal Propulsion System Design for a Micro-Quadrotor. Dissertation, University of Proceedings of the 2020 ASEE Gulf-Southwest Annual Conference University of New Mexico, Albuquerque Copyright ã 2020, American Society for Engineering Education 10 Maryland College Park.4. GoPro Video
, F. B. (2018). Graduation Rates for Selected Cohorts, 2009–14; Outcome Measures for Cohort Year 2009–10; Student Financial Aid, Academic Year 2016–17; and Proceedings of the 2020 ASEE Gulf-Southwest Annual Conference University of New Mexico, Albuquerque Copyright 2020, American Society for Engineering Education 8 Admissions in Postsecondary Institutions, Fall 2017 (NCES 2018-151). Retrieved from https://nces.ed.gov/pubsearch: https://nces.ed.gov/pubs2018/2018151.pdfKezar, A. J., Walpole, M., & Perna, L. W. (2015). Engaging Low-Income Students. In J. Q. Quaye & S. R
cannotcapture.References[1] L. Bottomley, K. Titus-Becker, and H. Smolensky-Lewis. Escape To Engineering: A SummerBridge Program For Women In Engineering: 2009 Annual Conference & Exposition, June 2009,Austin, Texas. Available: https://peer.asee.org/5254 [Accessed February 5, 2018].[2] Lavelle, Jerome P. and Richard F. Keltie, “Calculus Intervention for First-SemesterEngineering Students,” Proceedings of the 2005 American Society of Engineering EducationAnnual Conference and Exposition.[3] Bauer, K., and Liang, Q., (2003) “The Effect of Personality and Precollege Characteristics onFirst-Year Activities and Academic Performance,” Journal of College Student Development,Vol. 44, No. 3, p. 277-290.[4] Hurtado, S., Carter, D. & Spuler, A. (1996). “Latino
-of-things platform as teaching aids in the industrialinstrumentation course International Journal of Online Engineering, 14(12), 26 - 42.Ding, Q., & Cao, S. (2017). RECT: A Cloud-Based Learning Tool for Graduate SoftwareEngineering Practice Courses With Remote Tutor Support IEEE Access, 5, 2262 - 2271.Pearson, T. (2014). A low-cost full-featured extensible laboratory for online hardwareengineering International Journal of Online Engineering, 10(3), 24 - 30.Shyr, W.J., Su, T.J., & Lin, C.M. (2013). Development of remote monitoring and a controlsystem based on PLC and webaccess for learning mechatronics International Journal ofAdvanced Robotic Systems, 10.Nedic, Z. (2012). Demonstration of collaborative features of remote laboratory
role in the mini-project / term Project presentation Integration development of societies and paper (written report and Q/A session industries and oral presentation) Actively participate in class Assessment record of Lecture and class discussions active participation discussion on Human Avoid plagiarism in report writing, Assessment of reports professional and ethical Dimension - and properly cite published sources for plagiarism and responsibility (including Self
.-C. Kuo, C.-Y. Kuo, and C.-H. Kuo. “Designing a reconfigurable biopotential amplifiers for medical instrumentation course,” IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, Oct. 2014, pp. 1186–1191, doi: 10.1109/SMC.2014.6974075.[34] J. D. DesJardins, E. Breazel, M. Reba, I. Viktorova, J. B. Matheny, and T. R. Khan. “Emphasizing Core Calculus Concepts Using Biomedical Applications to Engage, Mentor, and Retain STEM Students,” ASEE Annual Conference & Exposition, Jun. 2012, pp. 25.521.1-25.521.14, https://peer.asee.org/emphasizing-core-calculus-concepts-using- biomedical-applications-to-engage-mentor-and-retain-stem-students.[35] B. Sun, C. Xiong, W. Chen, Q. Zhang, L. Mao
throughthe quiz in case questions arise during grading about how they got their answer. The lockdownbrowser limits them to one page on the Trinket website and prevents them from opening otherapplications on their computer during the exam. They are also encouraged to use VPython tocomplete homework problems. A friend of yours has just completed the first discussion activity where a storm cloud is modeled as a negative point charge with q = 200 C a height of 1000 m directly over your position. They show you their computer screen and you notice something can’t be right with their model. Describe in detail how you know their results are wrong. Include an explanation of what you would expect to see instead. Feel free to include a sketch
-explored in engineering and the characterization of the formercan contribute to an understanding of the latter. A brief overview of the study is provided tocontextualize the research and its implications for workforce development.Postsecondary Student Engagement Survey (PosSES)The first phase of the study was the development and distribution of a survey on students’ out-of-class activities and outcomes. The instrument, termed the Postsecondary StudentEngagement Survey (PosSES), was generated through a process involving a literature review,Q-study with focus groups, panel of experts, and think aloud sessions. The survey was designedto understand the activities in which students participate, the barriers to participating, theincentive for
, 2004.[3] “SmartAXIS Touch,” IDEC. [Online]. Available:http://us.idec.com/Catalog/ProductSeries.aspx?SeriesName=10_SmartAXIS_Touch&FamilyName=40_PLC_HMI. [Accessed: 02-Feb-2020].[4] “ZGA37RG: ZGB37RG,” Zhejiang Zhengke Electromotor Co., Ltd. [Online]. Available:https://www.zhengkemotor.com/product/zhengkemotor_product_Dc_Gear_Motor_37mm_ZGA37RG_ZGB37RG.html. [Accessed: 02-Feb-2020].[5] “RT4S4LC4,” TE Connectivity, 03-Jan-2018. [Online]. Available: https://www.te.com/usa-en/product-1-1415073-1.html?q=RT4S4LC4&source=header. [Accessed: 02-Feb-2020].[6] “PBK-AP-2H,” AutomationDirect. [Online]. Available:https://www.automationdirect.com/adc/shopping/catalog/sensors_-z-_encoders/inductive_proximity_sensors/18mm_round_industrial_automation