Teacher interventions to enhance the quality of student comments and their effect on prediction performance

Shaymaa E. Sorour, Shaymaa Abd El Rahman, Tsunenori Mine

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

2 Citations (Scopus)


Today, the use of learning analytics is becoming more crucial in the learning environment for the purpose of understanding and optimizing students' learning situations. The purpose of this paper is to examine the impacts of Teacher Interventions (TIs) on students' attitudes and achievements involved with the lesson by analyzing their freestyle comment data after every lesson. The current study proposes a new method for building an accessible prediction model, which represents students' activities, situations and viewpoints; the method classifies words in the student comments into six attribute types and indicates the most important types that affect the prediction results. Further, the prediction results are compared with the topic-based statistical method that uses Latent Dirichlet Allocation and Support Vector Machine models. The results proved that there were positive correlations between TIs and the quality of writing comments that affect on improving the prediction results.

Original languageEnglish
Title of host publicationFIE 2016 - Frontiers in Education 2016
Subtitle of host publicationThe Crossroads of Engineering and Business
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017904
Publication statusPublished - Nov 28 2016
Event46th Annual Frontiers in Education Conference, FIE 2016 - Erie, United States
Duration: Oct 12 2016Oct 15 2016

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565


Other46th Annual Frontiers in Education Conference, FIE 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Software
  • Education
  • Computer Science Applications


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