Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Meiqin Li, University of Virginia

Tagged Divisions

Mathematics Division (MATH)

, interesting, motivated, and efficient. Secondly, the aimwas to better illustrate the power of linear algebra to explain fundamental principles andsimplify calculations in various fields, including engineering, computer science, mathematics,physics, biology, economics, and statistics. Thirdly, the focus was on better communicatingthe importance of linear algebra in the applied field, reflecting it as a scientific tool. Lastly,the objective was to empower students’ abilities to solve more complicated and applicableproblems in the real world. This paper’s primary focus is on the redesign effort, whichincorporates MATLAB and introduces active learning into the course, while still coveringall the core topics in any basic linear algebra class. This

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hadas Ritz, Cornell University

Tagged Divisions

Mathematics Division (MATH)

-minute TA-leddiscussion section once a week. In a typical semester (before the change in grading scheme)students would submit weekly graded homework consisting of textbook problems, take a“homework quiz” during the first 10-15 minutes of discussion section, take two preliminary(midterm) exams, and take a comprehensive final exam.Changes for Fall 2022The main goals of the new grading scheme were to: stop collecting and grading writtenhomework; require correct answers for credit; give ample opportunity for reflection and feedbackon mistakes. To accomplish these goals, we devised the following outline for the logistics of thecourse. • Textbook practice problems were posted each week, and full solutions posted a few days later. These were

Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Krystal Corbett Cruse, Louisiana Tech University; Carl Boyet; Levi Savercool; Hylie Jane Holloway

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

those who would have struggled more in their absence.Following the Fall 2022 quarter, a survey was given to the SS students to provide feedback ontheir perception of the SI sessions. Nineteen of the twenty-four responded. While a more in depthlook at the survey is planned for the future, an initial review of the feedback indicates allrespondents viewed the SI sessions as beneficial to their overall course grades in math andengineering. They also had unanimous positive reflections on the community building aspects ofthe SI sessions. Some sample responses to the prompt “Do you think the community buildingaspect of the SUCCESS Scholars Program helped your performance in the math and engineeringclasses? Explain” are: “I do because it helps me

Conference Session

Mathematics Division (MATH) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hui Ma, University of Virginia

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

, instructors and researchers found that students feel lessstress or anxiety during timed assessments [7], and they appreciate the opportunities to reattemptthe concepts, without being penalized for early mistakes. Instructors also feel that their gradesare a better reflection of students' actual learning [1].Purpose and research questionsIn light of the importance of helping students succeed in this class, which sets the foundation forfuture courses, and the benefit that alternative grading systems can help students reduce theirstress levels and focus on learning, the author has implemented the mastery grading approach inher Calculus I class, described below. The following questions guided this pilot study: 1. How, if at all, do student

Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Juliana Martins Philot, Instituto Mauá de Tecnologia - Brazil; Barbara Lutaif Bianchini, Pontifícia Universidade Católica de São Paulo - Brasil; Eloiza Gomes, Instituto Mauá de Tecnologia - Brazil; Gabriel Loureiro de Lima, Pontifícia Universidade Católica de São Paulo - Brasil; Octavio Mattasoglio Neto Neto

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

importance of planning, executing and evaluating subjects that are linked to the interestsand objectives of the courses in which these ones are being offered, reflecting on what skillswe want students to acquire and how these are used in their careers.Prado [4] also suggest that it is necessary to develop a more contextualized, consolidated andattractive course, applying multidisciplinary and transdisciplinary activities, using activemethodologies, articulating practice and theory with the support of software, a fact that is alsohighlighted in the document that in Brazil guides the organization of engineering programs,the National Curriculum Regulations for Engineering Education (DCN1) [13].Stewart, Larson, and Zandieh [7] emphasize the need of

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mary E. Lockhart, Texas A&M University; Noor Hakim; Vainavi Chilukuri, Texas A&M University; Jason Champagne; Karen E. Rambo-Hernandez, Texas A&M University; Robin A.M. Hensel, West Virginia University

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

as the average of all items. Previous research efforts have shown that thismeasure of outcome expectations is directly related to social cognitive outcomes, includingpersistence intentions [36], [45]. Good internal reliability for the three items was obtained withCronbach’s 𝛼 = .90. Engineering Identity. The Identity as a Scientist instrument developed by Chemers andcolleagues (2010) was adopted and modified specifically for engineering to reflect a student’sself-identification as an engineer. Participants’ engineering identity was measured using three ofChemers and colleagues’ [46] original six identity items. Items were rated on a scale 7-pointLikert scale (1-strongly disagree to 7-strongly agree). Participants indicated their

Conference Session

Mathematics Division (MATH) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tijesunimi Abraham Adeyemi, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Neda Bazyar Shourabi, Pennsylvania State University, Berks Campus; Chukwuemeka Duru; Jumoke 'Kemi' Ladeji-Osias, Morgan State University; Frank Efe

Tagged Divisions

Mathematics Division (MATH)

research andtheir recognition of our work. It should be noted that the opinions, results, conclusions, orrecommendations expressed are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] I. Kleiner, "History of the Infinitely Small and the Infinitely Large in Calculus Author(s)," Springer, vol. 48, pp. 137-174, 2001.[2] E. F. Redish, R. N. Steinberg, and J. M.. Saul, "Student difficulties with math in physics: Giving meaning to symbols," Physics Education Research Group, 1996.[3] S.R. Jones., Applying Mathematics to Physics and Engineering: Symbolic Forms of the Integral, Maryland, 2010.[4] R. Bajracharya., "Student Application of the Fundamental Theorem of Calculus with

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Mark Mixer, Wentworth Institute of Technology; Deirdre Donovan, Wentworth Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

3083Similarly, using either Pearson’s Chi-Squared test for independence or Fisher’s exact test (p-value 0.027 or 0.023 respectively) resulted in rejecting the null hypothesis that gender isindependent of student’s outcome (Pass or FW). Analysis supports that gender and the studentoutcome are not independent. Specifically, female students have a significantly higher passingrate. Predicting student success based on ethnicity, gender, and all the interactions between thosevariables using a logistic regression model is significantly better than a null model (p-value <9.83(10)-16 using a drop in deviance test). However, in this model no individual factor wassignificant in predicting student success (all p-values > 0.05).These findings reflect