During the course, we will try to collect evidence from studying individual systems and methods in order to help us answer the following questions about this topic area:
1. What IS an adaptive learning environment (ALE) and/or an intelligent tutoring system (ITS)? How would we differentiate these (or can we differentiate these) from other categories of technologies?
2. How, why, and when do ALE/ ITS projects draw on multiple disciplines, theoretical positions, and types of expertise?
3A. What has this area set out to accomplish? What are its current overarching goal(s), and do these seem to have changed over time? If they have changed, what seems to have driven those changes? [Think very high-level here, bigger than individual projects]
3B. To what extent has this research area made progress toward those overarching goals? (and what is the evidence for that assessment of progress?)
4. Why aren't we building a new system this semester, or modifying an existing one? (A question suggested by previous course feedback)
-Setting these questions at the beginning of the course underscores our focus on the big picture of this topic area, and how it synthesises many areas of informatics (and other disciplines!).
-The questions are intended to be a "framework" for organising many
small and specific pieces of information, and moving away from
individual system/study examples to thinking about the larger programme
of ALE/ITS research, and its underlying assumptions.
-We will return to these questions throughout the course, and
consider how information about individual systems and techniques (e.g.
Cognitive Tutors, user modelling) provides us with concrete evidence to
help answer them.
-Considering these questions will also help to draw attention to the persistent differences within the field. In many cases, there has been (and continues to be) a lack of consensus about philosophies, priorities, and methods.
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