Paper ID #10445Characterizing and Addressing Student Learning Issues and Misconceptions(SLIM) with Muddiest Point Reflections and Fast Formative FeedbackProf. Stephen J Krause, Arizona State University Stephen J. Krause is professor in the Materials Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of bridging engineering and education, capstone design, and introductory materials science and engineering. His research interests include strategies for web-based teaching and learning, misconceptions and their repair, and role of formative feedback on conceptual change. He has co
opportunity tounderstand how POGIL can be implemented in engineering. In this paper we address thefollowing research questions: 1. Does POGIL lead to increased understanding of materials engineering concepts compared to a lecture class 2. How is POGIL implemented across diverse types of universities?Question 1 is examined through a quantitative component in which POGIL was implementedat four different institutions in the US and gains on the Materials Concept Inventory werecompared to lecture classes. For question 2 a content analysis was conducted on coursematerials used by the instructors and student reflections from the end of the semester.MethodologyPOGIL was used in the undergraduate Introduction to Materials Engineering classes at
Manufacturing Engineering, American Society of Mechanical Engineers PUBLICATIONS (i)Most Closely Related [1] W.J. Stuart ’Problem Based Case Learning - Composite Materials Course De- velopment – Examples and classroom reflections’ NEW Conference, Oct 2011 [2] W.J. Stuart and Bedard R. (EPRI) ’Ocean Renewable Energy Course Evolution and Status’ presented at Energy Ocean Pacific & Oregon Wave Energy Trust Conference, Sept. 2010. [3] W.J. Stuart, Wave energy 101, presented at Ore- gon Wave Energy Symposium, Newport, OR, Sept. 2009. [4] W.J. Stuart, Corrosion considerations when designing with exotic metals and advanced composites, presented at Corrosion Conference of Exotic Met- als, Park City, UT, 2009. [5] W.J
, or recommendations expressed in this material are those of the authors anddo not necessarily reflect the views of NSF.References:1. Taher, M. Integration of Computer Simulation into Traditional Lecture-Lab Activities: Impact of Using Computer Simulation on Student Learning in a Technology-Based Course (doctoral dissertation), Northern Illinois University, DeKalb, IL (2009) Page 24.351.10Appendix EXAMPLES OF ONLINE ASSIGNMENTS USING THE VIRTUAL X-RAY EQUIPMENTExperiment #1. Indexing Diffraction DataRun the virtual X-ray diffractometer and record the XRD powder pattern of an unknown cubicmetal
both the student (and instructor) would have liked to have more time to complete theproject, that is, get that ‘second try or test’ in to answer questions or concerns learned in the firstround of ‘evaluation and testing’. However, with a 15-week project and graduation imminent,choices were made to get the ‘best’ results with the scope of this design project and 3-creditcapstone course. So reflecting on the three parts of this project, i.e., the materials selection,fabrication and testing, the student experience incorporated previous engineering knowledgefrom courses, practical hands-on experience, and moved into the realm of independent life-longlearning needed throughout an engineering career. The advisor also hopes this example can beused to
systematicallycollecting feedback from students. Improving learning through formative assessment dependsbasically on three key factors (1) effective feedback to students; (2) active involvement ofstudents in their own learning; and (3) adjusting teaching to take into account the results ofassessment. In exams for all course offerings, an entering knowledge test on sustainability andeco design will measure what students are expected to know prior to taking the course, while thefinal exam will reflect content objectives and expected student knowledge acquisition from thecourse. The predetermined assessment criteria will be communicated to students at the beginningof the instructional period. A Likert type scale questionnaire will measure how students feelabout
Engineering Department at Mississippi StateUniversity. The paper discusses the rationale for the course, the course description, the gradingprocedures, and survey-based course assessments. The surveys showed that the students’reaction to the class was very positive. The impact of this course was evident in students learningoutcomes that were published online on ICME Wiki. The majority of the students were awardedthe top grade for the class, reflecting their performance, interest and effort.IntroductionIntegrated Computational Materials Engineering (ICME) is an emerging discipline that aims tointegrate computational material science tools into a holistic system than can accelerate materialsdevelopment, transform engineering design optimization, and
concepts, defining terms, and making predictions based on conceptsare some of the reflective metacognitive activities that can be used to assess one's own beliefs.Metacognition is also necessary to confront and address one’s own misconceptions, which needto be corrected through cognitive processes in order to achieve conceptual change by altering themental models that comprise an individual's conceptual framework on a particular topic.One of the most important, but more difficult, topics in introductory materials engineeringclasses is that of phase diagrams. For example, on a question on a previously given MaterialsConcept Inventory about solutions, students moved from 39% correct to 67% correct on pre and