Identify and help at-risk students before it is late

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Identifying at-risk students early in the term is valuable. It is because an instructor can have more time to provide extra support, and students can also estimate how much extra effort they should put on to succeed in class. Prior work showed it is possible to predict at-risk students, but they either did not provide a specific prediction method or are too onerous to implement. Thus, my dissertation will develop and evaluate more robust, universal, and simple prediction methodology to classify at-risk students and propose how to automatically generate customized practice materials for early intervention. Once the methodology becomes robust, I will implement publicly accessible educational software application so that other CS instructors can easily adopt this method.

Original languageEnglish (US)
Title of host publicationICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research
PublisherAssociation for Computing Machinery, Inc
Pages295-296
Number of pages2
ISBN (Electronic)9781450344494
DOIs
StatePublished - Aug 25 2016
Externally publishedYes
Event12th Annual International Computing Education Research Conference, ICER 2016 - Melbourne, Australia
Duration: Sep 8 2016Sep 12 2016

Publication series

NameICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research

Conference

Conference12th Annual International Computing Education Research Conference, ICER 2016
CountryAustralia
CityMelbourne
Period9/8/169/12/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Software
  • Education

Keywords

  • At-risk students
  • Clicker data
  • Early-intervention
  • Final exam scores

Fingerprint Dive into the research topics of 'Identify and help at-risk students before it is late'. Together they form a unique fingerprint.

  • Cite this

    Nam Liao, S. (2016). Identify and help at-risk students before it is late. In ICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research (pp. 295-296). (ICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research). Association for Computing Machinery, Inc. https://doi.org/10.1145/2960310.2960355