An artificial intelligence approach to identifying skill relationship

Tak-Lam WONG, Yuen Tak YU, Chung Keung POON, Haoran XIE, Fu Lee WANG, Chung Man TANG

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Designing a good curriculum or an appropriate learning path for learners is challenging because it requires a very good and clear understanding of the subjects concerned as well as many other factors. One common objective of educational data mining and learning analytics is to assist learners to enhance their learning via the discovery of interesting and useful patterns from learning data. We have recently developed a technique called skill2vec, which utilizes an artificial neural network to automatically identify the relationship between skills from learning data. The outcome of skill2vec can help instructors, course planners and learners to have a more objective and data-informed decision making. Skill2vec transforms a skill to a vector in a new vector space by considering the contextual skills. Such a transformation, called embedding, allows the discovery of relevant skills that may be implicit. We conducted experiments on two real-world datasets collected from an online intelligent tutoring system. The results show that the outcome of skill2vec is consistent and reliable. Copyright © 2017 Asia-Pacific Society for Computers in Education.
Original languageEnglish
Title of host publicationProceedings of the 25th International Conference on Computers in Education. New Zealand: Asia-Pacific Society for Computers in Education
EditorsWenli CHEN, Jie-Chi YANG, Ahmad Fauzi MOHD AYUB, Su Luan WONG, Antonija MITROVIC
Place of PublicationTaoyuan City
PublisherAsia-Pacific Society for Computers in Education
Pages86-91
ISBN (Print)9789869401265
Publication statusPublished - 2017

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Intelligent systems
Vector spaces
Curricula
Artificial intelligence
Data mining
Decision making
Neural networks
Experiments

Citation

Wong, T.-L., Yu, Y. T., Poon, C. K., Xie, H., Wang, F. L., & Tang, C. M. (2017). An artificial intelligence approach to identifying skill relationship. In W. Chen, J.-C. Yang, A. F. Mohd Ayub, S. L. Wong, & A. Mitrovic (Eds.), Proceedings of the 25th International Conference on Computers in Education. New Zealand: Asia-Pacific Society for Computers in Education (pp. 86-91). Taoyuan City: Asia-Pacific Society for Computers in Education.

Keywords

  • Skill relationship
  • Neural network
  • Learning analytics
  • Artificial intelligence