The goal was to nurture creative and adaptive learners, not to teach students to digest and regurgitate facts and formulas.
Agents in our SLMFG are modeled as adaptive learners that use simple reinforcement learning schemes to learn their optimal behavior.
Thus, strategies that help individual students develop not only as scientifically skilled, but also adaptive learners of science, should be of particular benefit to beginning students.
Hwang (2014) specified the potential criteria for a smart learning environment as being context-aware, able to offer learners instant and adaptive support and adapt the learner interface and subject contents.
Hwang (2014) specified that the potential criteria of a smart learning environment include context-aware, able to offer instant and adaptive support to learners, and able to adapt the learner interface and subject contents.
In order to create a truly adaptive system, the learner's current and developing ability must be tested.
Some of the learning resources are based on research in ITSs, whereas others are conventional resources that are not adaptive to the learner's idiosyncratic profile of knowledge, skills, and abilities but can be orchestrated by ElectronixTutor for a more adaptive experience.
Cultural transmission (e.g. social learning) allows for the spread of a new behaviour/strategy at lower cost, assuming the learned behaviour is adaptive and the learner is in fact properly copying the tutor (Galef 1988, 2003).
(2) A smart learning environment is able to offer instant and adaptive support to learners by immediate analyses of the needs of individual learners from different perspectives (e.g., learning performance, learning behaviors, profiles, personal factors) as well as the online and real-world contexts in which they are situated.
The class investigates ways that technology can support more adaptive teachers and learners across a range of learning contexts.
This project utilizes these technologies to provide foundational knowledge of the ways in which measures of implicit learning from lab settings, ubiquitous sensors, and big data might be linked to explicit learning to develop games and online educational systems that are adaptive to diverse learners.
