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Hu, Xiangen; Cai, Zhiqiang; Hampton, Andrew J.; Cockroft, Jody L.; Graesser, Arthur C.; Copland, Cameron; Folsom-Kovarik, Jeremiah T. – Grantee Submission, 2019
In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Metadata, Behavior Patterns
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Grey, Simon; Gordon, Neil – New Directions in the Teaching of Physical Sciences, 2018
In this paper, we argue that, where we measure student attendance, this creates an extrinsic motivator in the form of a reward for (apparent) engagement and can thus lead to undesirable behaviour and outcomes. We go on to consider a number of other mechanisms to assess or encourage student engagement -- such as interactions with a learning…
Descriptors: Attendance, Measurement, Learner Engagement, Student Behavior
Roberts, William L. – 1993
Although videotape is the preferred method for recording behavior, there are many natural settings in which it is impractical or too intrusive. The ability to collect data in such settings and in real time has been enhanced by the advent of light, powerful laptop computers. This poster (with paper) describes a set of eight programs (developed in…
Descriptors: Behavior Patterns, Coding, Computer Software, Data Collection