relationships. Usingproductivity, and yield. Apart from traditional bioanalysis regression as a benchmark, we move forward with analyzingtraining that is biology and chemistry based, we offer trainees causality across multiple unit operations using conditionalprobability models. We compare with regression analysis andgain deeper insights into the graphical model by exploringwholistic causality. Figure 8. Concept map of interactive STEM Biopharma Training Platform from the first capstone project Figure 9. Testing methods and analyses of the developed interactive training and education platform. Capstone Project Plan and Management: This two- biomanufacturing field. Basic data techniques and skills
relationships. Usingproductivity, and yield. Apart from traditional bioanalysis regression as a benchmark, we move forward with analyzingtraining that is biology and chemistry based, we offer trainees causality across multiple unit operations using conditionalprobability models. We compare with regression analysis andgain deeper insights into the graphical model by exploringwholistic causality. Figure 8. Concept map of interactive STEM Biopharma Training Platform from the first capstone project Figure 9. Testing methods and analyses of the developed interactive training and education platform. Capstone Project Plan and Management: This two- biomanufacturing field. Basic data techniques and skills
: • “enjoyed class, liked concept map, quizzes are good so didn't spend much time in class talking about theory, whereas quizzes are about background, good structure of class, first time doing Zoom class but liked breakout rooms to make things more dynamic & connect with other students one-by-one.” • “course is great, shows that lot of work put into it, students appreciate that we got to know them.” • “helpful and useful course, went very well. Wait a few seconds before choosing answer, and it went well.” Note that the comment on waiting a few seconds refers to handling the issues of SCORM quiz scoring in Blackboard. • “lots of reading & HW assignments, but good to allow understanding concepts
Engineering Courses. 2016. 2. Dunn R. Learning styles: Theory, research, and practice. 2000. p. 3–22. 3. Carberry A, Krause S, Ankeny C, Waters C. “Unmuddying” course content using muddiest point reflections. IEEE; 2013. p. 937–942. 4. Kamble S, Tembe B. The effect of concept maps on achievement and attitude in a mechanical engineering course. IEEE; 2012. p. W1B–1. 5. Rugarcia A, Felder RM, Woods DR, Stice JE. The future of engineering education I. A vision for a new century. Chem Eng Educ. 2000;34(1):16– 25. 6. Bonwell CC, Eison JA. Active Learning: Creating Excitement in the
. Indianapolis, Sams Publishing.4. Megan Rodgers, Makayla P. Grays, Keston H. Fulcher and Daniel P. Jurich, “Improving AcademicProgram Assessment: A Mixed Methods Study”, Innovation High Education Vol. 38:383–395, 2013.5. Lynn Johnson, “Program Assessment: Not In My Back Yard”, American Journal of Business Education,Vol 5 (6), November/December 2012.6. Brigitte Burgess and Gallayanee Yaoyuneyong, “Concept Mapping as a Program Assessment Tool:Connecting Course and Program Objectives”, Family & Consumer Sciences Research Journal, Vol. 40, No.4, pp. 361–372, June 2012.7. Blaine T. Garfolo and Barbara L’Huillier, “Demystifying Assessment: The Road To Accreditation”,Journal of College Teaching & Learning, Vol 12 (3), pp. 151-170, 2015.8. Siegfried
Psychology at Washington State Uni- versity, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical un- derpinnings of learning with computer-based multimedia resources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of instructional princi- ples and assessments in STEM. Page 26.1754.1 c American Society for Engineering Education, 2015 Work in Progress: Intelligent Tutoring
] Driss Benhaddou, Deniz Gurkan, Harshita Kodali, Ed McKenna, Alan Mickelson and Frank Barnes,``Online Laboratory for Optical Circuits Courses: Effective Concept Mapping,'' in Proceedings of the 2006ASEE Gulf-Southwest Annual Conference, 2006.[3] Richard Franzl, Deniz Gurkan, Driss Benhaddou and Alan Mickelson, ``E-Learning Laboratories forOptical Circuits: Separation of Imperfections in Technology and Teaching Methodologies,'' in Proceedingsof The 2006 IJME – INTERTECH Conference, 2006. Page 12.1114.19
this is in agreement with themechanics of materials solution. Figure 6: Sample view of prototype e-Simulation webpage showing the simply supported beam deflection created during half-symmetry finite element analysis.Dissemination of FEMur The discussed FEM general resources and Finite Element Method Learning environmentare a part of bigger effort to develop the open access Finite Element Method universal resource.They are integrated into the FEMur website using Macromedia Dreamweaver. The sitemap ofthe FEMur website is created based on concept map using the open sources software Cmap toolsof HCMI for easy access to various sections of FEMur site.Conclusion and Future Work In this work, an attempt to develop the e
solution and justify why certain approachesare better than other, and develop diagrams, lists, and concept maps to support and illustrate thedesign to the larger group. Page 12.1184.6Group report and whole class discussion: Each design team compiles a written report andpresentation which identifies the problem, the considered methods of solution, available data,design assumptions, material specifications, and the final design complete with quantity ofmaterials and tools needed to implement the design. Before permission to travel is granted, thereport must be reviewed and approved by the EWB-USA technical advisory committee, and thestudents must
Meuse focused on general teamwork skills in their computer-based “TeamDeveloper.”3 For assessment related to their interdisciplinary certificate in productrealization, the University of Pittsburgh uses The Team Developer, but also uses astudent course evaluation, concept maps, and a project scoring rubric. The rubric is usedby industry and academic judges and has four primary areas and 12 elements, includingproject goals, creativity and innovation, prototype, organization and clarity of the oralpresentation, and ability to answer questions.4 Another rubric was developed at ColoradoSchool of Mines to assess their Engineering Projects in Service (EPICS) final reports.5Others have recommended using pre- and post- student questionnaires as well as
interdisciplinary nature of engineering is emphasized. Earthquakes,radio waves, and engines are all discussed in Vibrations, and the Heat Transfer laboratorymeasured the natural and forced heat convection coefficient for cooling of a resistor.The course meets four times a week for 50 minutes. Each section of the course has a maximumenrollment of 24 students. On Monday and Thursday, lectures are given using a detailedPowerPoint presentation. The lecture begins with learning objectives and then a concept map(Figure 1) to show where the topic for the day fits within the three disciplines. About 30 slidesare used for each topic. In-class exercises (ICE) are interspersed throughout the lecture. In eachof these, about five minutes is given to complete the
) or cell phone. • In addition to exams, seek alternative ways to assess student achievement. Concept mapping is an activity that can reveal much about what a student understands and copying is readily identifiable if the class size below 40.Future DirectionsThis exploration into issues related to academic honesty and ICT reveals a broad field for furtherresearch. Appropriate application of ICT to prevent academic dishonesty is a technical researcharea with potential. Digital signatures and encryption are technologies being developed anddeployed in answer to privacy and security issues; perhaps these have application here as well.Why students cheat is an opportunity area for sociological/psychological research. Further in
across groups. 16 Conceptinventories have been used in education for decades. While these inventories are now applied insome engineering fields, they are not widely used in biomedical engineering. These inventoriesare multiple-choice surveys in which misnomers related to content are contrasted with concepttruisms in an attempt to statistically judge increases in concept knowledge via instruction and labexperiences as pre and post test measures. Concept maps are maps that students create thatconnect concepts learned in courses to create a multimodal mega concept. Value judgedinternships are often used in education, social work or other human services professions whereinternships are required as a precursor to graduation. Engineering intern
bioengineering educationcommunity with a methodology for analyzing team effectiveness and accomplishments.6.0 AcknowledgementThis research is funded by NSF CBET-0602592 Collaborative Research: The BME-IDEACompetition, Assessing Innovative Design in Biomedical Engineering Education with additionalsupport for the BME-Idea competition provided by The Lemelson Foundation.References1. Novak, Joseph D. and Gowin, Dixie B. (1984). Learning How to Learn. United Kingdom, Cambridge University Press.2. Besterfield-Sacre, M., J. Gerchak, M. Lyons, L.J. Shuman, and H. Wolfe, “Scoring Concept Maps: Development of an Integrated Rubric for Assessing Engineering Education,” Journal of Engineering Education, 93(2), April 2004, pp. 105 – 116.3. Golish, B
following scaffolds in his courses:≠ Developed a brief handout on the literature review process and discussed it in class.≠ Modeled in class the process of finding literature quickly on a particular topic using engineering databases compared to sorting through thousands of links found on the web.≠ Provided a sample analysis of literature collected for a research topic in engineering to illustrate how the review could be organized and presented.≠ Required students to create an account on a social bookmarking tool such as del.icio.us or Scholar, and use it for literature review purposes.≠ Required students to prepare a Venn diagram or concept map to focus their literature search and present the analysis of the literature in the form of a
organize subject matter and content in meaningful ways that are personally and academically appropriate. Accommodate different styles of learning. Students should be able to generate concept maps and mental models. 7. Students should receive specific feedback. Encourage them to incorporate constructive feedback in their portfolios and journals. Page 11.811.7 6 8. Students are provided in detail, and in advance, the rubrics that are used in assessment and evaluation. Model exams and study guides help to a large extent. 9. Student must be
teaching engineering designcourses at the college level, participants are guided through key parts of the process in detail.For example, teachers learn about the process of ideation andpractice using tools like concept mapping (Fig. 3). Teams alsodelve into the process of defining criteria and constraints for theirprojects. They go through a series of presentations and designreviews to defend their product design (Fig. 4). By the end of the5-week training, teachers feel confident using the EDP and havealso developed their own tools and methods to guide their studentsin using the process in the classroom. Figure 3: Teacher team engaging in
Mont Alto. He has a PhD in Engineer- ing Education from Virginia Tech and a Bachelors and Masters in Mechanical Engineering. His research interests include concept mapping, digital textbooks, and additive manufacturing. c American Society for Engineering Education, 2017 Problem-based-learning module for teaching thermodynamic cycle analysis using PYroMat Abstract This paper details a problem-based-learning module for addressing student difficulties in thermodynamics. Using the PYroMat open source software platform to automate more ba- sic skills (like table look-ups and interpolation), learners
number of the students basedon their comments, so other goals should be identified in the future. Other conclusions cannot bedrawn at this time since gamification was only implemented in small ways in the courses.One future opportunity is to develop a concept map-like interface to help students understandtheir progress through the course information (which would hopefully be motivational) and gaininsight as to how topics are related to each other. This was attempted in Moodle by organizingthe semester by topics in spring 2016, but removed the milestone aspect which helps studentsgauge where they should be when a course is organized by semester week/date. As such, analternate way of implementing the interface would need to be explored.The next
instruction by focusingon the kinds of communication that are actually used in engineering workplaces and practice. Allthree sessions demonstrated ways in which engineering faculty and practitioners have becomeengaged in helping students develop their communication abilities.The papers presented in “Maps, Metaphors, and Tweets” shared the goal of making implicitaspects of learning and communication explicit, both to improve communication and to increaseawareness of the representation-communication-learning relationship. The genres that the papersdealt with varied widely and included concept maps (Ferguson, Foley, Eshirow, and Pollack),product pitches/demonstrations (Randi, Harichandran, Levert, and Karimi), metaphors inpresenting prototypes (Berezin
, and constraints). A design goal such as, “Can you devise a way tomake a boat move more slowly through the water?” provides a challenge, dares the students totest their skills and their knowledge to see if they can design a prototype that fulfills all therequirements. Accompanying each challenge are wrap-around exercises – including scienceinquiry activities, concept-mapping, journaling through the use of “design notebooks,” and oralreporting – designed to help students construct their personal meanings.Data collection and analysisThe research team employed a mixed methods approach, collecting quantitative and qualitativedata concurrently throughout the course of the study [13] (see Table 4).Table 4. Overview of data collection methods
(Spring2018) being implemented: 1. Identify a short list of the key mathematical concepts with which students must be proficient in order to succeed in the class, along with a general time in the semester at which proficiency with the concept will be required 2. Write a test or quiz consisting of example questions to test the students’ proficiency with each mathematical concept identified in step 1 3. Assemble a list of resources that students can use to self-study each of the mathematical concepts; map the resources to the questions from step 2 4. At the beginning of the semester, provide students with the test/quiz along with the resource links; require students to take the test (potentially outside of class)This
.” Journal of Engineering Education, 94, pp. 211–221. April 2002. Available: http://jee.org/2002/april/674.pdf3. Olds, B. M., Moskal, B. M., & Miller, R. L. “Assessment in Engineering Education: Evolution, Approaches and Future Collaborations.” Journal of Engineering Education, 94(1), pp. 13–25. 2005. Available: https://doi.org/10.1002/j.2168-9830.2005.tb00826.x4. Turns, J., Atman, C. J., & Adams, R. “Concept maps for engineering education: A cognitively motivated tool supporting varied assessment functions.” IEEE Transactions on Education, 43(2), pp. 164–173. 2000. Available: https://doi.org/10.1109/13.8480695. Moskal, B. M., Leydens, J. A., & Pavelich, M. J. “An Educational Brief: Validity, reliability and
://algaegrowsthefuture.wordpress.com3.11 AssessmentThis project is currently being implemented in two freshman engineering courses and a middleschool. Pre-surveys at the start of the project have been completed. Concept maps were alsoobtained. Surveys will be conducted at the end of the school year and the pre- and post- surveyresults will be compared to assess the impact of the project on learning not only engineeringfundamentals but also the inclusion of components from the humanities.4. ConclusionsIn order to create a more globally conscious engineer who can focus on the problems that theworld faces today, the Algae Grows the Future team has developed a curriculum that can beimplemented in local K-12 Outreach programs, the STEM Academy at the local high school, aswell as
methods, and instructional and multimedia research.Dr. Olusola Adesope, Washington State University Dr. Olusola O. Adesope is an Associate Professor of Educational Psychology at Washington State Uni- versity, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical un- derpinnings of learning with computer-based multimedia resources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of instructional princi- ples and assessments in STEM. c American Society for Engineering Education
between quantitative responses and the textual data provided by the open-endedquestions, demonstrating the efficacy of both the analytical approach (i.e., TDA) and open-endedquestions. Jackson and Trochim 12 also developed a novel approach to analyzing the content ofopen-ended responses. Using text-sorting algorithms, the authors developed conceptually distinctclusters of responses and sorted them to create concept maps, demonstrating links andrelationships between perceptions of workplace team norms and respondent profile. In general,TDA and other quantitizing approaches can provide correlations or describe conceptualrelationships, but the assumptions associated with frequency counts comes with its ownmethodological issues. Just because a word
flowing when the pipe burst). Theimplication for the use of analogies by various researchers in that when used, students must alsobe exposed to the point at which the analogy and the concept being taught are no longercompletely aligned. 4Figure 1. Concept map showing relationships among studies and alignment of key findings to overarching research questions 5Dependence on mathematical representationIn all three studies, the importance of mathematical knowledge and application ability wasreinforced. The nature of the content dictated the use of mathematical modeling forunderstanding. Most commonly was the emphasis on being able to
. Page 26.1155.1Mr. Fanhe Shamus MengDr. Olusola O Adesope, Washington State University-Pullman c American Society for Engineering Education, 2015 Paper ID #12688 Dr. Olusola O. Adesope is an Assistant Professor of Educational Psychology at Washington State Uni- versity, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical un- derpinnings of learning with computer-based multimedia resources; knowledge representation through interactive concept maps; meta-analysis
choosing one product over the other would make a significantdifference in the long run, and to reflect on whether they individually would do anythingdifferently as a result of what they learned.Students gained experience applying mass and energy balance concepts from the course to anopen-ended, real world problem by estimating the materials and energy resources embodied ineveryday products, as well as the waste flows and emissions to the environment duringmanufacture, use, and ultimate disposal of the products. Students learned to use concept maps,tables, flowcharts and other visual aids to show the environmental burdens/impacts.Reception: Generally speaking, the Life Cycle Assessment project was well received in thiscourse. Students enjoyed the
, and IS Architecture. She has published articles in conference proceedings and journals in the areas of concept mapping, cognitive style, and engineering education.Dr. Kailasam Satyamurthy, Penn State University Dr. Kailasam Satyamurthy is an Assistant Professor in Engineering at Penn State University. He earned his Ph.D. in Engineering Mechanics from Clemson University and an MBA from Penn State. Before joining Penn State, he was a senior manager at Vanguard for 8 years and head of the engineering de- partment at GenCorp for 20 years. He teaches Decision and Risk Analysis, Business Statistics, Finance and Economics for Engineers, Quantitative Methods in Finance and Quality and Continuous Improve- ment courses at