Learning Reaction Analysis Engine for Interactive Digital Textbook Platform

As we use smartphones as daily use as televisions and cars, smartphones are always used for daily life. And information technology and sensor technology matures enough to detect user’s movement, direction, shapes and bio-signals. With sensor technology and mobile learning device (smartphone, tablet PC) with sensors, it is possible to support and satisfy instant personal learning activity tracking and learner’s learning emotional state for learning environment and learning contents. Lastly, on distance learning environment or e-learning environment, learning interactions and feedbacks between learners and teachers is almost impossible, since there is online communication and learning contents which can not deliver or transmit learning emotion of learners. But, in order to deliver personalized learning contents and modify learning environment according to a learner, learning emotional state from learning contents is very important. Learning environment state means analyzes learning environment information consists of learner’s property, learner’s environment and learner’s activity from learner’s e-portfolio and learner’s educational devices. And besides learning environment states, real-time learning emotional state (learning emotion state) from learning contents is necessary.

In this paper, we design Learning Reaction Analysis Engine for interactive digital textbook platform. Proposed interactive digital textbook platform has Learning Reaction Analysis Engine that could detect learner’s learning emotional state that means emotional learning interests and learning concentration state, and Learning Reaction Analysis Engine can analyze learner’s learning emotional state from learning activity state, learning device execution state and learners’ bio-signals from smartphone, tablet PC, or smart watch. In order to analyze learning emotional state information, we construct learning emotional model that defines learning emotional information, and classification and inference rules of learning emotional information. Learning emotional state inference rules can be applied into Automated Tutoring Engine and Personalized Learning Contents Modification Engine. Learning Reaction Analysis Engine decides learning strategy for type of learning contents frameworks, learning sequence, difficulty change of learning contents and learning contents modification for current learning contents according to a learner who is accessing to the learning contents.