Asee peer logo

Our Learning Experience with MATH 101, a Virtual and Adaptive Remedial Course

Download Paper |

Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Mathematics Division (MATH) Technical Session 2

Tagged Division

Mathematics Division (MATH)

Tagged Topic

Diversity

Page Count

20

DOI

10.18260/1-2--43827

Permanent URL

https://peer.asee.org/43827

Download Count

355

Paper Authors

biography

Alberth Alvarado Universidad Galileo Orcid 16x16 orcid.org/0000-0001-7017-7125

visit author page

Alberth Alvarado received (with honors) the B.S. degree in Electronics and Computer Science Engineering from Universidad Francisco Marroqu­in in 2004; the M.S. degree in Applied Mathematics and a Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign in 2010 and 2014, respectively. Currently, Dr. Alvarado is the Head of the
Department of Applied Mathematics at Universidad Galileo, Guatemala, Guatemala. Dr. Alvarado has broad teaching experience in mathematics. He currently teaches undergraduate-level courses of mathematics for engineering students and, graduate-level courses in the areas of operations research and data science. Dr. Alvarado’s research is concentrated in two areas. First, he is interested in game theory, convex and nonconvex programming, distributed optimization, and their applications to signal processing and communication problems. Finally, Dr. Alvarado is also working in engineering education with specialized interests in the teaching and curriculum development of mathematics.

visit author page

biography

Jose Roberto Portillo Universidad Galileo

visit author page

Roberto Portillo is the head of the Teaching Assistants Department of Universidad Galileo in Guatemala and a mathematics instructor in engineering courses. He holds a Bs. in Electronics and Computer Science (from Galileo University, Guatemala) and an MSc. in Operations Research (from Galileo University, Guatemala). He is currently a Ph.D. candidate in information technologies applied to education. He also has a vast teaching experience in mathematics for engineering, which has led him to obtain multiple excellence teaching awards. His research area is engineering education, where he has worked on numerous research projects to improve students' academic performance and motivation. Additionally, he collaborates with the SENACYT (Secretaría Nacional de Ciencia y Tecnología) as National Contact Point (NCP) in the CELAC (Comunidad de Estados Latinoamericanos) group to promote research infrastructures collaborations between countries in Latin American and the European Union (EU).

visit author page

Download Paper |

Abstract

MATH 101 was introduced in [1] as a response to the deficiencies in the area of mathematics shown by a considerable number of first-year engineering students from Universidad Galileo in Guatemala. In essence, MATH 101 is an innovative remedial course with two key characteristics: virtual and adaptive, i.e., based upon a diagnostic test and constant assessment; the course platform presents to each student virtual learning modules adapted to his own needs. Besides the content personalization, MATH 101 enhances the student’s learning experience by combining audiovisual material (e.g. more than 330 video lectures) and teaching-learning activities (e.g. a bank with over 2100 problems) in more than 70 virtual learning modules following active learning methodologies and the learning by doing principle [2]. While the instructional design and implementation of MATH 101 were presented in [1], this paper focuses on analyzing the results and quantifying the impact of the first implementation of MATH 101. To determine such impact, two key aspects were evaluated: (i) the academic benefits and (ii) the student’s perception of this course. The data analyzed in this study were collected from a sample of 86 freshmen engineering students from Universidad Galileo enrolled in MATH 101. All the statistical analysis of these data is presented in this paper.

To establish and measure the academic benefits of MATH 101, we contrasted the results of the diagnostic test administered at the beginning of the course with those from the final evaluation. These non-standardized tests cover topics in the following four areas: arithmetic, algebra, simple mathematical models, and trigonometry. The results derived from comparing the grades obtained in these tests are encouraging: the average grade was increased by 59% and the standard deviation was reduced by 34%. Moreover, about 62% of the students who completed MATH 101 satisfactorily not only approved the first engineering mathematics course but also obtained an average grade of 80 (out of 100) points. These numerical results imply a meaningful improvement in basic operational and problem-solving skills in arithmetic, algebra, and trigonometry, the latter being the area with the most significant improvement. Thus, the statistical analysis suggests that MATH 101 provides the students with the opportunity to reinforce their knowledge of basic mathematics and prepare them for the first university-level mathematics course.

The quality of the educational resources and the content delivery are two aspects that cannot be omitted in the design of a virtual course since they have a high correlation with the student’s academic performance. A five-point Likert scale satisfaction survey (based on [3]) was used to determine the students’ perception of the following three aspects: course interface, quality of the educational resources, and the overall course benefit. The overall results obtained in these three areas were more than satisfactory. Most of the students agreed on having a good user experience with the course platform and even more importantly, about 97% of them perceived that MATH 101 had a positive impact on their academic performance in their first mathematics course. Some areas of opportunity, such as the feedback provided to the students, were also identified by this instrument. We conclude the discussion with the improvements to be included in the second version of MATH 101 to achieve even better results with prospective students of this course.

References:

[1] A. Alvarado, “MATH 101: An Adaptive Remedial Course”, Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, https://peer.asee.org/40581. [2] H. W. Reese, “The learning-by-doing principle”, Behavioral Development Bulletin, vol. 17, no. 1, pp. 1–19, 2011, doi: 10.1037/h0100597.

[3] D. Lederman, “How College Students Viewed This Spring's Remote Learning,” INSIDE HIGHER ED, May-2020. [Online]. Available: https://www.insidehighered.com/digital-learning/article/2020/05/20/student-view-springs-shift-remote-learning.

Alvarado, A., & Portillo, J. R. (2023, June), Our Learning Experience with MATH 101, a Virtual and Adaptive Remedial Course Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43827

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2023 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015