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- Mathematics Division Technical Session 4
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- 2017 ASEE Annual Conference & Exposition
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Doug Bullock, Boise State University; Janet Callahan, Boise State University; Jocelyn B. S. Cullers, Boise State University
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, Washington. 10.18260/p.23694. https://peer.asee.org/23694Callahan, J., & Schrader, C., & Ahlgren, A., & Bullock, D., & Ban, Y. (2009, June), The ImplementationOf An Online Mathematics Placement Exam And Its Effects On Student Success In Precalculus AndCalculus Paper presented at 2009 Annual Conference & Exposition, Austin, Texas.https://peer.asee.org/5541Callahan, J. and Belcheir, M. (2017, May), “Testing our Assumptions: The Role of First Course Gradeand Course Level in Math and English in Predicting Retention,” Journal for College Student Retention,19(1).Crosswalk: https://www.lsamp.org/help/help_stem_cip_2015.cfm.Dasgupta, N. (2011). Ingroup experts and peers as social vaccines who inoculate the Self-Concept: TheStereotype
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- Mathematics Division Technical Session 3
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- 2016 ASEE Annual Conference & Exposition
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Doug Bullock, Boise State University; Kathrine E. Johnson; Janet Callahan, Boise State University
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own sense of what should be taught in calculus, which guided their teaching,assignments and examinations.There was agreement about what c text should be used, and a common syllabus was on file. Yet,as a result of both growth and lack of coordination between instructional faculty, a situation haddeveloped by 2005-6 which students, the mathematics department, and others recognized asbeing problematic. At that time, from a student’s perspective, it appeared to matter more, “whoyou took,” than “what you learned” in terms of their chances of passing the course.1 This wassupported by pass rate data; the average pass rate in 2005-6 was 51% and ranged from 30% to90% depending on who taught the course.2 The variation in pass rate was a confounding
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- Mathematics Division Technical Session 2
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- 2017 ASEE Annual Conference & Exposition
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Angeles Dominguez, Tecnologico de Monterrey, Monterrey, Mexico, and Universidad Andres Bello, Santiago, Chile; Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico, and Universidad Andres Bello, Santiago, Chile; Maria Elena Truyol, Universidad Andrés Bello, Santiago, Chile
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considered for this study have avery long list of topics (syllabus) to cover and evaluate. Even in a traditional lecturing style notall topics are fully covered by the teacher; some topics are just mentioned and left for the studentto go over the material or to do exercises by themselves.Before this study, the main teaching strategy in all mathematics courses was a traditionalapproach. For this paper, traditional teaching means the main actor is the teacher by lecturingmost of the sessions with minimal or no participation from the students, and with a heavy use ofchalk and blackboard by the teacher. In a traditional class, the instructor explains the topic,solves some exercises, and asks students to solve some others. Then, homework is assigned
- Conference Session
- Mathematics Division Technical Session 1
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- 2015 ASEE Annual Conference & Exposition
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Gunter Bischof, University of Applied Sciences Joanneum, Graz; Andreas Zwölfer, University of Applied Sciences Joanneum, Graz; Domagoj Rubeša, University of Applied Sciences Joanneum, Graz
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othermodules. And, in addition, it often turns out that bridging courses are attended mainly by thewell prepared and most hard working students, who never miss a chance to learn somethingextra (see e.g. Sazhin12).Some universities attempt to cope with the different levels of mathematical preparedness bystreaming their students and teaching the weaker group separately, sometimes using theservices of experienced school teachers rather than university lecturers. In order to cover thesame syllabus as the stronger group it may be necessary to increase contact hours for theweaker group13. Page 26.410.16Amongst the range of strategies for coping with a serious
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- 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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Rajendran Swamidurai, Alabama State University ; Cadavious M. Jones; Carl Pettis; Uma Kannan
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. Thegoal of the lecture was to reinforce topics already outlined in the course syllabus while onlypresenting additional information, if it was absolutely necessary for students to understandaspects of the modules. Some of the topics already incorporated into the course curriculuminclude linear equations and matrices, eigenvalues, eigenvectors, and singular valuedecomposition. The lecture focused on methods for gathering data and representing such data inthe form of matrices and the utilization of basic applications of linear algebra on said matrices.The primary source for such data was www.data.gov and similar sites. In addition, students werepresented with the PageRank algorithm and a scenario utilizing it. Lastly, the lecture introducedthe topic