After the success of the workshop Adaptivity
in learning and instruction during our last
International Fall School in 2014, where it was rated highest on usefulness for
current and future research, ICO is now offering it as a regular ICO course.
The course focuses
on research and design of adaptive support in learning and instruction.
Adaptivity promotes learning, but in order to effectively adapt instructional
materials to learners’ needs, insight in a learner’s behavior is necessary.
Instructional designers have long since relied on ‘traditional’ measures to
gain this insight; examples include interviews, questionnaires, or
observations. As most of these measures are taken ‘after the fact’, they cannot
be used to adapt the learning and instruction process in real time. Another
concern is that these data sources may not be valid. Measures like think-aloud
protocols, eye movement registration, or neurocognitive indicators may be
superior in this respect, but are equally difficult to implement in real time.
This ‘real time’ problem can be solved by using log files which contain
computer generated data of learners’ actions in an e-learning environment.
Based on these data, a system can immediately determine and implement a next
step. This can be selecting a suitable task, presenting useful information, and
so forth. |