Online learning is the fastest growing segment in the educational marketplace (Conhaim, 2003). As the number of online courses increases and distance learning programs grow in popularity, questions of quality and comparability of online courses with traditional methods naturally arise (Schulman & Sims, 1999). While online learning is the fastest growing educational segment, partly in thanks to on-campus students who choose to take courses online, there are still debates about not only the quality of the course content, but the quality of the technology used as well. According to Bowman (2003), in “the history of higher education, online classes are relatively new, and it is yet to be determined how to take full advantage of the technology” (p. 73). Traditional face-to-face courses, which may have been proven successful in terms of evaluations and outcomes assessments, are increasingly being converted to online courses. A study by Smith, Ferguson, and Caris (2000) concluded: “Contrary to intuition, current Web-based online college courses are not an alienating, mass-produced product. They are a laborintensive, highly text-based, intellectually challenging forum which elicits deeper thinking on the part of the students” (p. 67). Converting a traditional classroom course that is intellectually challenging and that elicits deeper thinking into an online course that can do the same can be a harrowing task. The process of converting a face-to-face course into an online course without compromising the course’s integrity and quality is a difficult burden to overcome. The burden of the conversion process can be eased, however, through the use of course maps.
Understanding Learner Behaviour in Online Courses through Learning Analytics
