TY - GEN
T1 - Dynamic Learning Path Prediction - A Learning Analytics Solution
AU - Govindarajan, Kannan
AU - Kumar, Vivekanandan Suresh
AU - Kinshuk,
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/11
Y1 - 2017/1/11
N2 - In the course of the last few years, many educational and research communities have been deeply invested in the development of learning analytics. Learning analytics measures the effectiveness and efficiency of learning environments, in order to understand the needs of learners and to improve the teaching process. The research presented in this paper uses Parallel Particle Swarm Optimization (PPSO) mechanism to analyze and predict a dynamic learning path for learners based on competence and meta-competence values observed in a learning environment. The proposed system is able to auto-configure and auto-customize itself to offer personalized and individualized instruction, and calculate an optimal learning pathway for learners. Furthermore, it provides on-demand and adaptive support for learners based on their needs. Experimental evaluations - carried out within a Java Programming course - demonstrate the effectiveness of the proposed system.
AB - In the course of the last few years, many educational and research communities have been deeply invested in the development of learning analytics. Learning analytics measures the effectiveness and efficiency of learning environments, in order to understand the needs of learners and to improve the teaching process. The research presented in this paper uses Parallel Particle Swarm Optimization (PPSO) mechanism to analyze and predict a dynamic learning path for learners based on competence and meta-competence values observed in a learning environment. The proposed system is able to auto-configure and auto-customize itself to offer personalized and individualized instruction, and calculate an optimal learning pathway for learners. Furthermore, it provides on-demand and adaptive support for learners based on their needs. Experimental evaluations - carried out within a Java Programming course - demonstrate the effectiveness of the proposed system.
KW - Artificial Intelligence
KW - Dynamic Learning Path
KW - Learning Analytics
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=85013350219&partnerID=8YFLogxK
U2 - 10.1109/T4E.2016.047
DO - 10.1109/T4E.2016.047
M3 - Published Conference contribution
AN - SCOPUS:85013350219
T3 - Proceedings - IEEE 8th International Conference on Technology for Education, T4E 2016
SP - 188
EP - 193
BT - Proceedings - IEEE 8th International Conference on Technology for Education, T4E 2016
A2 - Kumar, Viraj
A2 - Kinshuk, null
A2 - Murthy, Sahana
T2 - 8th IEEE International Conference on Technology for Education, T4E 2016
Y2 - 2 December 2016 through 4 December 2016
ER -