, enabling them to save a significant amount oftime by benefiting from the insights presented in this paper.In this paper, the examined methods were divided into two broad categories: (1) pedagogicalmethods focusing on specified linear algebra contents such as “span”, “linearly independence”,“linear transformation”, etc., and (2) general instructional pedagogical methods focusing on thecourse instead of specific topics, such as “flipped classroom”, “active learning”, “technologyintegration” etc. We read more than 70 literatures and only included those methods that areapplicable for teaching engineering students in this paper. For instance, we excluded theliterature that investigated different approaches to master proofs of some linear algebra
grading for students with thelowest diagnostic scores going into Calculus I. The final exam itself was structured to containboth straightforward, single-concept “Level 1” questions and more challenging, multi-stepquestions that blended multiple topics, “Level 2” questions. There was no significant differencein the performance between students with traditional grading vs. mastery grading for either levelof questions.IntroductionThe vast majority of students entering the school of engineering at our university take Calculus IIor III in their first semester. However, the number of Calculus I students rose sharply during thepandemic, ultimately reaching 23% in Fall 2023. Students who do take Calculus I enter with awide range of high school math
properties of the transformation, which isparticularly relevant in computer graphics, robotics, and control theory. To learn the concept ofchange of basis, change of basis matrix (CBM) is the foundation since it defines the specificchange from one coordinate system to another coordinate system.There are literatures exploring different approaches, practices, and applications for linear algebraconcepts such as “span” [1], [2], [3], [4], [5] , “linear independence” [1], [2], [4], [6], [7], [8],[9], and “eigenvalues/eigenvectors” [10], [11], [12], [13], [14], [15]. There are also researches onpedagogical innovations of teaching linear algebra with or without programming technologyincorporated into the course to reinforce students’ understanding [16
science, and statistics. Despite its computationalnature, the subject's topics often delve into abstract and conceptual realms. Recognizing theacknowledged challenges and obstacles associated with learning linear algebra [1], [2], [3],a plethora of teaching practices, strategies, and resources have been explored to address thedifficulties encountered by students in grasping these abstract concepts. In this paper, we explorethe potential, from the student perspective, of one possible strategy: incorporating the use ofMATLAB into an engineering Linear Algebra course.Many efforts have aimed to make the study of linear algebra more accessible, engaging, andconducive to effective learning outcomes. Researchers have also emphasized the
engage in these processes as part of mathematicalmodeling, and how this approach can be useful for providing future recommendations forcurricula and learning outcomes alignment in engineering education.IntroductionThe challenges of the 21st century require students to engage in activities that enable them to“learn the importance of such decisions as what to measure, what to keep constant, and how toselect or construct data collection instruments” [1, p. 58]. This activities are especially critical forengineering students because engineers are required to develop measurement processes duringthe mathematical modeling of designs [2]. Despite the significance of developing measurementprocesses in engineering education, ABET student learning outcomes
including: 1) bio-instrumentation,2) drug kinetics, 3) mechanical systems, and 4) organ models. Undergraduate biomedicalengineering students frequently struggle with the intersection of mathematics in these domains asthe problems require students to freely recall various techniques to solve systems of differentialequations in story-problems. This is in contrast with many differential equations textbooks thatemphasize rote memorization methods or provide subtle hints of the particular method and orprocess to be used to solve pre-written mathematical functions. Within engineering disciplines, itis important for students to actively read story problems or interview stakeholders to identify keyconstraints, and governing physical and biological
students' proficiency inboth areas.Analytical data from assignment evaluations and student feedback indicate that integratingMATLAB into the mathematical analysis course effectively develops sophomore students'programming skills. 1. Introduction:The integration of computer programming in engineering education has become increasinglyessential, especially in the sophomore year when students are expected to tackle more complexengineering problems. Recognizing this need, most engineering curricula require a computerprogramming course, often taught using traditional languages like Python, C, or JAVA. Whilethese languages have their merits, their complexity can be a barrier for students who are stilldeveloping their engineering problem-solving skills
' Excellence in an Engineering Calculus Course1. IntroductionIt is well known that a significant number of freshmen engineering students often face a lack ofmotivation while studying calculus due to different factors that can be discouraging and affecttheir performance not only in this course but also in their overall university experience. A limitedmathematical background coupled with the theoretical and abstract nature of calculus may leadsome students to feel overwhelmed and demotivated [1]. Furthermore, most first-yearengineering students aim to solve real-world problems from their first days of class; however,they find themselves loaded with theoretical courses that seem distant from engineeringapplications at the early stage of their academic
textbooks [1–10] have embraced visual ex-planations, with notable contributions from Apostol and Mamikon [10]. Their workstands out for explaining the integration of certain functions without heavy relianceon mathematical formulas, marking a noteworthy departure from conventional in-structional methods. Expanding on the incorporation of visual and intuitive methodologies, the fieldsof ”Control Systems” Physics have seen insightful contributions from works such as[11, 12]. In the digital domain, content creators like 3Blue1Brown [13] leveraging theopen-source Python library Manim for interactive animations, have made significantstrides in teaching foundational STEM concepts. It stands out for its clear visualiza-tions and comprehensible
and discussed.Introduction/MotivationLouisiana Tech University operates on a quarter calendar but awards semester credit hours(SCH). This is accomplished by extending the meeting time for classes. For example, a 3 SCHclass will typically meet for 75 minutes three times a week, or for 110 minutes twice a week for10 weeks. One advantage this affords is students majoring in engineering and other STEMprograms can begin in Precalculus without being behind in their curriculum, leading to benefitsin retention [1]. This and other contributing factors have led to Precalculus serving as a gatewayfor most incoming freshmen into engineering and other STEM programs.In the 2022-2023 academic year, well over 50% of incoming students in the College
include experimental geotechnics, numerical modeling, liquefaction assessments, and dam safety. She is also interested in issues related to women in engineering and has published numerous articles in ASEE conferences.Maribel Viveros, University of California MercedBianca Estella Salazar, University of California, MercedChangho Kim, University of California, Merced Changho Kim is Assistant Professor of Applied Mathematics at the University of California, Merced. He is participating in the ”Why, What and How” Calculus project as co-PI. ©American Society for Engineering Education, 2024Interest & Engagement Tactics for Success 1
an online format, and many students struggled in this environment. Mathematics was one of the subjects most affected by online learning. At a large R1 university in the mid-Atlantic region, more engineering students than ever before entered their first year, placing in Pre-Calculus instead of Calculus 1, and were classified as pre-math-ready. Being ‘math ready’ and placing into Calculus 1 is critical for engineering students due to the engineering curriculum's reliance on mathematics and the barriers related to the subject. This study shares the experiences of 15 first-year engineering students who were behind in math during the 2022-2023 academic year. Most participants were in their
Students' Performance and Beliefs about MathematicsInquiry-oriented (IO) instruction is one of many inductive teaching approaches that relies heavilyon active student learning. However, there are key features that distinguish IO instruction fromactive learning in other classrooms. Traditionally, if students actively participate in a universitymathematics class, it is after an instructor has presented key concepts and procedures. That is,their engagement is that of practice. In an IO classroom, however, students are expected toreinvent mathematics in their quest to solve real-world problems [1]. Therefore, the applicationsprecede and motivate, rather than follow, the theory.In an IO course, students are presented with novel problems; they are not
“lessons learned” from two versions of this alternativegrading scheme are presented here as “best practices” which we hope will be useful for otherfaculty wishing to implement standards-based grading on a large scale.IntroductionAlternative grading schemes encompass a large variety of course assessment rubrics and a largevariety of implementations of the different styles. Some examples include Mastery BasedGrading, Standards Based Grading, Specifications Grading, and Ungrading, among others [1, 2].Motivations for implementing a course assessment scheme different from a traditionalpoint-based rubric include encouraging a growth mindset in students, reducing testing anxietywhich may occur due to high-stakes exams, and requiring students to solve
implementation of a dedicated precalculus course.To address these obstacles, the aim of this study is to understand the impact of accessibleprecalculus practice opportunities to all students, with the goal of enabling them to enhance theirprecalculus skills without feeling overwhelmed. This objective was achieved by integratingprecalculus instruction into the curriculum of Calculus II and assessing its outcomes.Literature ReviewThere is acknowledgement that the math course entry point in curricula for engineering studentsmay differ among students based on socio-economic and minority classifications. Those who arefirst generation college students, Underrepresented Minority (URM)1 students, or those with feweracademic opportunities in secondary education
get some intuition/visualization for it. For example, when we try to take thelimit of the ratio of the function of f1 (x) = x + 2 and the function of f2 (x) = 2x + 3as x approaches infinity, we simply apply L’Hˆopital’s rule to get: d f1 (x) x+2 dx (x + 2) 1 1 lim = lim = lim d = lim = (1) x→∞ f2 (x) x→∞ 2x + 3 x→∞ (2x + 3) x→∞ 2 2 dx Another example, when x approaches 0: d 1 − ex