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- Mathematics Division Technical Session 1: Best Practices in Engineering Math Education
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- 2020 ASEE Virtual Annual Conference Content Access
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Guenter Bischof, Joanneum University of Applied Sciences; Maximilian Brauchart, Joanneum University of Applied Sciences; Patrick Jenni, Joanneum University of Applied Sciences; Jeremias Pirker, Joanneum University of Applied Sciences; Julian Sachslehner, Joanneum University of Applied Sciences; Christian J. Steinmann, Joanneum University of Applied Sciences; Tobias Markus Zörweg, Joanneum University of Applied Sciences
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Mathematics
Sciences Joanneum Graz. Before he started his studies he worked as a car mechanic and gained some practical experience in the automotive sector.Mr. Christian J. Steinmann, Christian Steinmann has an engineer degree in mathematics from the Technical University Graz, where he focused on software quality and software development process assessment and improvement. He is manager of HMS IT-Consulting and provides services for SPiCE/ISO 15504 and CMMI for development as certified Automotive SPiCE assessor. He performed more than 100 process assessments in software development departments for different companies in the finance, insurance, research, automotive, and automation sector. Currently, his main occupation is a
- Conference Session
- Mathematics Division Technical Session 1: Best Practices in Engineering Math Education
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
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Nathaniel Rossi, Arizona State University; Adam R. Carberry, Arizona State University; Scott Adamson, Chandler-Gilbert Community College
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Diversity
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Mathematics
1. State name, occupation, course subject, level of students, and active learning methods utilized. How familiar are you with Peter Liljedahl’s research? 2. Describe what it was like using active learning methods in your classroom for the first time. a. What aspects of the methods were either effective or ineffective at achieving the learning outcomes for the lesson. b. How did the students respond to the methods? 3. What strategies have you used for developing classroom problems? a. [Ask this question only if the respondent notes they have used textbook problems] Do you have any recommendations or best practices in converting these types of
- Conference Session
- Mathematics Division Technical Session 5: From Functions to Big Data–A Hands-on Challenge
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- 2020 ASEE Virtual Annual Conference Content Access
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Paran Rebekah Norton, Clemson University; Karen A. High, Clemson University; William Bridges, Clemson University
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Mathematics
research projects. He has collaborated extensively with colleagues across the University on the design, analysis, and presentation of data from both surveys and experiments. He is a co-author on peer-reviewed publications and a co-PI on funded research projects each year. He teaches both undergraduate and graduate level courses in statistical methods, regression analysis, statistical research design, and data analysis. American c Society for Engineering Education, 2020 Towards Creating Motivationally Supportive Course Structures for Introductory CalculusAbstractThis paper reports the qualitative phase of a sequential explanatory mixed
- Conference Session
- Mathematics Division Technical Session 3: Diversity in Mathematics Education
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- 2020 ASEE Virtual Annual Conference Content Access
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Kathleen Marie Fick, Methodist University; Denise H. Bauer, Methodist University
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Mathematics
, also then serving as a factor in declining retention and/or graduation rates. Researchon what to use for correct placement has indicated that a combination of level of high schoolmathematics courses taken, overall high school GPA, ACT/SAT math score, and number ofmathematics courses taken during high school shows a stronger correlation between success inthe first university mathematics course than only using a mathematics placement exam [4]. Inresponse to needing some form of placement, studies suggest using multiple measures, mostwidely that of the high school GPA and prior mathematics background in conjunction withassessment scores [5]. This research reports that combined measures have resulted in a higherpercentage of correct mathematics
- Conference Session
- Mathematics Division Technical Session 5: From Functions to Big Data–A Hands-on Challenge
- Collection
- 2020 ASEE Virtual Annual Conference Content Access
- Authors
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Rajendran Swamidurai, Alabama State University ; Cadavious M. Jones; Carl Pettis; Uma Kannan
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Diversity
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Mathematics
from Auburn University in 2014. He is a contributor to the Australian Maths Trust, and member of the MASAMU international research group for mathematics.Dr. Carl Pettis Carl S. Pettis, Ph.D. Professor of Mathematics Department of Mathematics and Computer Science Al- abama State University Administrative role: Interim Associate Provost Office of Academic Affairs Alabama State UniversityDr. Uma Kannan Dr. Uma Kannan is Assistant Professor of Computer Information Systems in the College of Business Administration at Alabama State University, where she has taught since 2017. She received her Ph.D. degree in Cybersecurity from Auburn University in 2017. She specialized in Cybersecurity, particularly on