those who are simply prohibited from the use ofcomputers in the classroom.IntroductionInternet usage in the educational arena has grown enormously over the past three decades.Back in the late 1980’s and early 1990’s, burgeoning Intranets were popping up oncollege campuses. Internet accessibility outside of the classroom and in dormitories, etc.soon followed. Today, access to WiFi is something college campuses must have as theyare “graded on” it in many cases: the more Internet availability and better student access,the better the grades.2,3 Given the expansion of Internet accessibility and usage ofelectronic wireless devices, the natural progression is the use of such technology in theenhancement of education over those same decades.In the
class, did not have any work experience.These numbers are important to show why it is essential to design the class with a focus onpractical applications, and structure the assignments with this focus, which we will discuss inmore detail below. Table 1 Learning Outcomes Covered by Each Assignment/Activity Targeted Learning Assignment/Activity Description Outcome(s) Case studies, quantitative problems, conceptual short Homework
economic analysis after it has been implemented. As many of ourpartners implement and utilize the capstone projects, it is important for our students tounderstand how the projects are evaluated so that they can conduct a better analysis of theprojects in the beginning. As we continue to look at our courses and implement projects, we willcontinue to bring more examples into the course.References1. Anwar, S., & Ford, P. (2001). Use of a case study approach to teach engineering technology students. International journal of electrical engineering education, 38(1), 1-10.2. Dixon, G., & Wilck, J. (2014). Integrating Economic Analysis into Capstone Course. 121st ASEE Annual Conference and Exposition. Indianapolis: American Society
retake the quiz The grade should be greater than Second attempt or equal 80% (B), If not, the 0.80*grade student should retake the quiz Third attempt N/A 0.65*gradeEach mastery quiz involves 10-14 multiple choice questions. The quizzes are administeredonline using a learning management system – Canvas in this case. The students are given a 48-hour window to take each quiz but once the student starts the quiz, s/he will have a limited timeto finish it (between 1 and 1.5hours). The quizzes are not administered in a classroom and theycan be taken anywhere, anytime within the 48-hour
on each step. Figure 1: Project Adaptation Framework Cyclea. Identifying Outreach DetailsBefore jumping into activity development, it is important to understand the details of the event.The desired objective(s), location, time frame, budget, number of participants, and participants’age range are all important pieces of information required to shape an effective and appropriateactivity.[13] Misunderstanding or misinterpreting any of these details could produce anineffective activity that squanders resources and provide an inadequate experience forparticipants. For example, 5th and 6th graders would need more explanation and completion timeto successfully complete a project that was designed for 7th and 8th grade
0.0613 0.0613 0.0077 Total 29 38.1737 S = 0.0875595 R-Sq = 99.84% R-Sq(adj) = 99.42% Figure 10. Analysis of Variance (ANOVA) summary for the response variable “Moment”7. Learning Analysis and AssessmentGiven that the two courses, Product Design and Work Design, are offered for junior levelstudents, the majority of students had taken to the Introduction to Engineering Design coursewhere students are taught the basics of engineering design processes, methods, and decisionmaking using team design projects. Moreover, several students in the Product Design and Workdesign classes had previous internship experiences. The knowledge and experiences of thestudents brought in different ways of thinking and
members. In addition, it could be supplemented with tracking howmany students actually emailed the instructor (or teaching assistant) and the frequency of thoseemails. Also, a correlation between some of the student’s communication, attendance, andlearning management system usage versus their course grades could be completed. Further, anANOVA could be completed if demographic, ANGEL usage, email usage, and coursesatisfaction were known for each individual student (currently these are known only at theaggregate level).Bibliography 1. Pew Internet and American Life Project, Available at: http://www.pewinternet.org/. Accessed July 1, 2016. 2. Jones, S. (Principal Author), The Internet Goes to College: How students are living in the future
there is less than a 95% probability that the two groups are actually different.The significance of differences in overall student score for the questions of the pre- and post-testwere determined using a one-tailed t-test (Equation 4). x 0 t (Equation 4) s/ nWhere: ̅ = Mean score on concept inventory, end-of-semester = Mean score on concept inventory, beginning-of-semester s = Standard deviation, end-of-semester n = Number of students, end-of-semesterThe internal consistency of the concept inventory was evaluated with the Kuder-RichardsonFormula 20 approach (Equation 5). k j 1 p j q j k
work supported by the National Science Foundation Graduate ResearchFellowship Program under Grant No. 1651272. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.ReferencesAmbrose, S. A. (2010). How learning works : seven research-based principles for smart teaching. San Francisco, CA: Jossey-Bass.Ammar, S., & Wright, R. (1999). Experiential learning activities in Operations Management. International Transactions in Operational Research, 6(2), 183.Anfara, V. A., Brown, K. M., & Mangione, T. L. (2002). Qualitative Analysis on Stage: Making the Research Process More Public. Educational
paper is on engineering economy courses rather than the smallernumber of current texts, we have chosen not to develop a table with details of today’s texts. Wewill note however that White, Case, and Pratt (2012)’s third chapter is on borrowing, lending,and investing. The personal finance material in the 12th edition of Newnan’s text is similar to the1st edition. The only significant content additions were brief sections on student loans andretirement accounts. However, the 13th edition by Newnan, Eschenbach, Lavelle, and Lewis(2017) has been heavily influenced by our work on this topic. Other current texts are similar tomost texts in Table 1—personal finance focuses on the time value of money for saving, loanpayments, and retirement
operational definitions, sampling, andreproducibility of measurement between two or more assessors [12]. Good operationaldefinitions are needed to ensure consistent measurement and evaluation over time. Whileincluded in the Engineering Student Outcomes, ABET does not define multidisciplinary teams(d), contemporary issues (h), life-long learning (i), or modern engineering tools (k). Since ABETdoes not define these terms, it is up to the program to define them in the context of their uniquePEOs and identify indicator(s) appropriately for consistent decision-making (otherwise risk TypeI or Type II errors). Care should also be taken not to combine assessment data from differentlevels of maturation of student knowledge, skills and abilities. “Scores” for
examples is a way to cement students’ knowledge through memorable context.• Using case studies supports the rich complexity and interdisciplinary skills needed by future engineers.• Using campus based case studies is physically convenient for students because they can see the application without the time, expense, and coordination required to go off campus.Support for Case Studies as a Method for Teaching & Learning: Significant research has beendone showing the effectiveness of case studies as a teaching method. In 1999, the Journal ofEngineering Education published an interesting research paper entitled, Teaching Real-WorldIssues through Case Studies, by P.K. Raju and Chetan S. Shankar. In this paper, they chronicledthe benefits
Paper ID #19798Engineering Economics for Freshmen EngineersDr. Gilbert C Brunnhoeffer III P.E., Roger Williams University Practiced Civil Engineering and Engineering Management in the U S Army for 20 years. Engaged in software engineering for three years and ran factories producing engineered materials for the aerospace and electronics industries for seventeen years. Teaching career includes engineering mechanics, civil engineering, and construction management for seventeen years. c American Society for Engineering Education, 2017 Engineering Economics for Freshmen EngineersFreshmen
/showAward?AWD_ID=1449489Cech, E. (2014). Culture of Disengagement in Engineering Education. Science, Technology & Human Values, 39(1), 42-72.Cech, E. A. (2010). Trained to Disengage? A Longitudinal Study of Social Consciousness and Public Engagement Among Engineering Students. American Society for Engineering Education.Cruz, J., & Frey, W. (2003). An Effective Strategy for Integrating Ethics Across the Curriculum in Engineering: An ABET 2000 Challenge. Science and Engineering Ethics, 9, 543-568.Deneulin, S. (2014). Wellbeing, Justice and Development Ethics. New York and London: Taylor and Francis.Dunlap, J. C. (2005). Changes in students' use of lifelong learning skills during a problem
Conference Proceedings, 2010. 3. Merino, “Impact of ABET 2000 on Teaching Engineering Economics: What Subjects Define Economic Literacy for Engineers?,” ASEE Annual Conference Proceedings, 2000. 4. Rogers, K. J., Sattler, M. L., “”Life Cycle Sustainability Economics” Module”, ASEE Annual Conference Proceedings, 2012. 5. Hartman, J. C., “Testing the “Art” of Engineering Economic Decision-Making,” ASEE Annual Conference, 2006. 6. Walter, S., “A Systems Approach to Engineering “Economics”,” ASEE Annual Conference Proceedings, 2008. 7. Bursic, K. M., “Applying Engineering Economic Analysis to Contemporary Problems with Global and Societal Implications,” ASEE Annual Conference Proceedings, 2006. 8. Brach, P
StudentsConceptual Coherence, International Journal of Science and Mathematics Education, Vol. 6,Issue 4, pp 719-740.[2] Hestenes, D., Wells, M., and Swackhamer, G. (1992), Force Concept Inventory, The PhysicsTeacher, Vol. 30, pp. 141-158.[3] Madsen, A., McKagan, S., Sayer, E.C. (2016), Best Practices for Administering ConceptInventories, Cornell University Library, https://arxiv.org/abs/1404.6500 .[4] Wallace, C.S., Bailey, J.M. (2010), Do Concept Inventories Actually Measure Anything?Astronomy Education Review, Vol. 9, Issue 1.[5] Smith, J.I., Tanner, K (2010), The Problem of Revealing How Students Think: ConceptInventories and Beyond, CBE Life Sciences Education, Vol. 9 Issue 1, pp. 1-5.[6] Deane, T., Nomme, K., Jeffery, E., Pollock, C., Birol, G. (2016