Udacity’s Statistics Course to Offer Insights Into Online Learning

Last week we launched three classes in conjunction with San Jose State University; Visualizing Algebra, College Algebra, and Statistics. The 300 students that are a part of the pilot will earn college credit upon completion of the courses. Outside of the pilot, these courses are also open to anyone that wants to take them. 

Katie-KormanikKatie Kormanik, the Course Developer for the statistics class shares some insights from developing the class with SJSU professors, Sean Laraway and Ron Rogers.  Here’s Katie’s article on EdSource, where she talks about some of the advantages of learning statistics on an online platform.

You may have heard of a new development in higher education: MOOCs, or massive open online courses, are challenging traditional notions of higher education. Allowing students to work at any time, any place, and any pace, MOOCs are free and are open to anyone. This is why they’re massive, often enrolling tens of thousands of students. This revolutionary medium of higher education may shift the entire paradigm underlying how education is delivered.

So far MOOCs have been an exploration of unknown territory, pushing the frontiers of how we teach and learn. A new pilot program between San José State University (SJSU) and Udacity, one of the leading MOOC providers, aims to determine the effectiveness of three specially designed MOOCs compared to the university’s traditional classes. Anyone may enroll for free, but only 100 students may take the MOOCs for credit for this initial round. This number includes SJSU students as well as non-matriculated students – with priority for the non-matriculated enrollment slots given to high school students, wait-listed community college students and veterans.

The format of MOOCs makes them especially effective for teaching statistics. I have been working closely with SJSU professors Ron Rogers and Sean Laraway, who determine and supervise course content, to develop Udacity’s statistics class. This experience has made me acutely aware of ways in which an online statistics class can be superior to a traditional one, and we are taking advantage of these differences in teaching the course:

  • Interesting data can easily be shared online for students to analyze in spreadsheets. (Use of basic analysis software such as spreadsheets is not only essential in today’s world, but also promotes algebraic thinking.) If data were presented in a traditional textbook, students would have to manually input each value onto their computer or graphing utility. This would be tedious with real-life data, which often have hundreds of values. The ultimate goal is for students to have a strong foundation in statistical thinking and to be able to conduct basic statistics-based research. The best way to do this is by analyzing real data.
  • Simulations and applets can help visualize complex statistical concepts, making it easier for students to understand them. These are readily accessed online.
  • Polls given to students throughout the course can allow students to analyze their own data. Since each MOOC has thousands of students, the sample size is massive. We use Google Forms to administer these polls, and results automatically appear in shared spreadsheets as soon as students input their responses. This is instant data on anything, any time, anywhere, which students can view in real time.
  • MOOC lessons are prerecorded so students can go over a lesson as many times as necessary to understand the concepts – especially important for statistics, a subject many people find intimidating. And unlike in a traditional class, MOOC instructors need not worry about spending time repeating or reviewing concepts since students can replay previous videos at their leisure.

Many people still doubt that online education can equip students with skills and knowledge as well as or better than traditional in-person schooling, especially in the absence of direct student-instructor interaction. However, “interaction” takes many forms. MOOCs provide constant quizzes, which keep students thinking; instant feedback, so students know immediately if they understand the material; dynamic visuals, keeping students engaged; guest lecturers (via video); and the ability to collaborate online with thousands of peers, some of whom may choose to meet in person to learn the material. Students can ask questions about the coursework on Udacity’s online forum, and popular questions will be answered in supplemental videos. SJSU students taking the course for credit also have direct contact with the SJSU professors and myself, as well as Udacity staff who are available 24/7.

In general, for-credit MOOCs bring a whole new level of flexibility into education, especially for students who can’t fit an in-person class into their schedule; who do not have the necessary background knowledge to take a class required for their degree; or who failed the intro course and, without the online option, would be forced to wait a year to retake it.

The SJSU-Udacity pilot statistics course began last week with more than 3,000 students registered. In regular MOOCs, around 5 to 10 percent complete the courses (this still equates to tens of thousands of students earning certificates for completing popular MOOCs like Udacity’s Computer Science 101, but this percentage does not include the additional tens of thousands who benefited from pieces of the course and who were not intent on completing the whole thing).

With this pilot program, we hope that completion rates will be equal to or better than those of the in-person versions of these courses. We will also analyze and compare student performance on the exams, which are identical to those taken by traditional in-class students. We are continuously improving the courses as we receive feedback, but we still have a long way to go before we can judge their effectiveness with certainty. This will be a powerful learning experience for everyone involved.



5 thoughts on “Udacity’s Statistics Course to Offer Insights Into Online Learning

  1. I'd be interested in getting to know why Udacity created a second Statistics course in addition to ST101. How do these two courses compare? Is ST095 more advanced and does it make sense for a student who has already taken ST101 to take ST095? Thanks

    • Here are the main differences. Stats95 – Meets California GE requirements and may be taken for credit – Gets into statistical concepts and definitions. – Heavily focused on teaching practical statistical research methods.Stats 101 – More theoretical. Devotes much of the course to calculating theoretical probabilities.

  2. Thanks for the info, Kristy. ST95 sounds very interesting. Congrats Daniel for getting highest distinction. I loved the course too. I wish the days had more hours in them so that I'd be having more time to take all the interesting courses.

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>