Calculus with Analytical Geometry A

The main topics of Calculus A involve the
differentiation and integration of functions of one variable.
Calculus forms the foundation for most, if not all, of the physical
sciences in addition to most social sciences.

Course Information
Course Number/ID: 
Math241
Course Length (number of weeks): 
15
Course Delivery Mode: 
In-Class
Average Number of Enrolled Students: 
More than 60 students
Course Level: 
College
Course Development & Delivery
Course Contributors: 

None.

Course Development: 

Every semester, the Department of Mathematical Sciences offers a special lecture section of calculus, the mathematics of change, for biology majors. It covers all the same material as our other lecture sections, and it is our most rigorous calculus course. However, we recognize that calculus was motivated by mechanics and does not directly address issues in the life sciences.

We developed this course in response to a need expressed by the Biology Department. They need their students to be more quantitative when they approach and solve problems in the life sciences. Our colleagues in the Biological Sciences recognize that success in mathematics is a key indicator of success in their programs, and we have their full support.

Our collaborative efforts in developing our biology section of calculus and other educational activities have led to our success Howard Hughes Medical Institute grant which supports some of these innovative activities.

I believe that students are motivated by relevance and personal success. Both must be present in an effective course. In my case, I recognize that it is not enough to design a problem from a biological application if the students do not understand the mathematics behind it. In my courses, we always begin with the mathematics.

One major theme in my course is that solving the mathematical problem is seldom the hard part when students have good mathematical skills (and most students do). The hard part is formulating the mathematical problem is the greatest challenge for most students. Over time, I have developed an effective strategy for helping students formulate problems from diverse application domains using the Sakai server.

Course Delivery: 

My approach is two-fold. First, I insist that all my students have strong basic skills. Second, I require my students to do high quality teamwork with a group of peers on a open-ended problems. In all cases, I use the best technology available.

Resource delivery: All course resources flow from a course website that I write in HTML. It has a simple, flat layout, and students can go anywhere from there with one click.

Basic skills: I use a combination of automated homework using ALEKS and MapleTA, plus traditional hand-graded homework. Automated online problem sets provides students with instant feedback on their work. All my automated homework is implemented as mastery assignments meaning that they must work simpler problems correctly before moving on to harder problems. I use a combination of ALEKS for precalculus skills and MapleTA for calculus skills. There are types of questions that are too complex or awkward to automate, so I rely upon written problem sets as well.

Application domains: Quantifying problems in different application domains is a great challenge for students, and I have used the Sakai server's wiki to help students learn. Students need practice identifying variables, quantifying process and analyzing open-ended problems, and I have designed a course activity to develop these skills.

I post a collection of images from the web depicting scenes involving change. A team of no more than four will explore the topic captured in an image. Then, I lead them past three milestones or stages to complete their team project.

Stage 1: Students describe the image applying quantitative terminology (angle, distance, function, time) from this course to the image. Students explain how the variables are connected to the image.

Stage 2: Students draw from their quantitative descriptions, write down equations that express their descriptions. They learn how to pose precise mathematical questions that will lead to insights in a "real world" problem.

Stage 3: Students develop calculus "word problems" built around their descriptions and the picture.

I assign a score to each team's work project, and then each team goes through a peer assessment process at each stage. Students receive the project score scaled by a peer assessment. The peer assessment is a measurement of individual intellectual, writing, professional and leadership contributions to the team.

Course Self-Assessment
Communication & Collaboration Self-Assessment: 
Excellent
Communication & Collaboration Evidence: 

The wiki shows a lengthy history of student interactions as they develop their team project. The comment sections also indicate students have meaningful quantitative discussions. Students have responded positively, and scores on "word problems" on exams shot up last semester which was the first time I implemented this particular team project structure on the wiki.

Learning Material Self-Assessment: 
Excellent
Learning Material Evidence: 

My course webpage is flat. I use the best tools available for different tasks.

Learning Outcomes & Assessment Self-Assessment: 
Excellent
Learning Outcomes & Assessment Evidence: 

Prompt accurate feedback is a top priority in my course. Exams are returned within a week, usually within two days. Feedback on MapleTA and ALEKS homework is instant. Wiki feedback is continual. With regard to critical thinking, the team projects involve stages to gradually involve students more deeply in mathematical exploration. With regard to basic skills and concepts, automated quizzing and testing provides the closest thing to an exam environment outside of an actual exam environment.

Course Look & Feel, Web Usability Self-Assessment: 
Effective
Course Look & Feel, Web Usability Evidence: 

My course is functional, but not integrated. For instance, I use the Sakai wiki, Google calendar and MapleTa for automated learning. Each one is great by itself. Together, I imagine Rossi's Calculus looks like a Franken-course. Unfortunately, packages that attempt to do everything, tend to do nothing well, and I want the best for my students.

Learner Support Self-Assessment: 
Excellent
Learner Support Evidence: 

My course website provides links to one-on-one and group tutoring for students. There is no better way for my students to get help.

Teaching Innovation
Teaching Innovation: 

The team project offers a unique, innovative opportunity for students that involves peer learning and assessment, writing about mathematical topics and development of mathematical structures in diverse application domains. Students are often criticized for being passive learners, yet the tools we use to help them learn deliver knowledge independently of the student. The Sakai wiki tool allows students to be actively involved with one another and allows me to provide regular feedback in unique ways. One cannot involve writing in a mathematics course without good typesetting tools, so the Sakai wiki provides an opportunity to try course activities like my team project. I should add that there are a small number of calculus texts aimed at biology majors, but they do not different significantly from standard texts. The problems my students develop are often considerably more interesting to them and to me. At the end of this semester, I hope to compile the best of these efforts and evaluate them relative to current textbook offerings. It would make an interesting comparison.