A boosting algorithm for auto-generating quiz for traffic education

Jinn Tser Lin, Wen Ling Chen, Yu Chieh Wu, Jie Chi Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we present a driving license test APP system for traffic education. The system provides learning materials and the adaptive simulation quiz. Questions in the quiz are individually generated according to the user profile and the designed boosting algorithm. The experimental result revealed that our APP system showed statistically significant better score in the driving license exam.

Original languageEnglish
Title of host publicationProceedings - IEEE 15th International Conference on Advanced Learning Technologies
Subtitle of host publicationAdvanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015
EditorsNian-Shing Chen, Tzu-Chien Liu, Kinshuk, Ronghuai Huang, Gwo-Jen Hwang, Demetrios G. Sampson, Chin-Chung Tsai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-73
Number of pages2
ISBN (Electronic)9781467373333
DOIs
StatePublished - 14 Sep 2015
Event15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015 - Hualien, Taiwan
Duration: 6 Jul 20159 Jul 2015

Publication series

NameProceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015

Conference

Conference15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015
Country/TerritoryTaiwan
CityHualien
Period6/07/159/07/15

Keywords

  • Adaptive learning
  • Learning effect
  • Mobile learning
  • Ubiquitous learning

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