The impact of the peer review process evolution on learner performance in e-learning environments

Matthew Montebello, Petrilson Pinheiro, Bill Cope, Mary Kalantzis, Tabassum Amina, Duane Searsmith, Dungyun Cao

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

Abstract

Student performance over a course of an academic program can be significantly affected and positively influenced through a series of feedback processes by peers and tutors. Ideally, this feedback is structured and incremental, and as a consequence, data presents at large scale even in relatively small classes. In this paper, we investigate the effect of such processes as we analyze assessment data collected from online courses. We plan to fully analyze the massive dataset of over three and a half million granular data points generated to make the case for the scalability of these kinds of learning analytics. This could shed crucial light on assessment mechanism in MOOCs, as we continue to refine our processes in an effort to strike a balance of emphasis on formative in addition to summative assessment.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450358866
DOIs
StatePublished - Jun 26 2018
Event5th Annual ACM Conference on Learning at Scale, L at S 2018 - London, United Kingdom
Duration: Jun 26 2018Jun 28 2018

Publication series

NameProceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018

Other

Other5th Annual ACM Conference on Learning at Scale, L at S 2018
CountryUnited Kingdom
CityLondon
Period6/26/186/28/18

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Keywords

  • Elearning
  • Peer-Reviews
  • Recursive Feedback
  • Student Performance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Education
  • Software
  • Computer Science Applications

Cite this

Montebello, M., Pinheiro, P., Cope, B., Kalantzis, M., Amina, T., Searsmith, D., & Cao, D. (2018). The impact of the peer review process evolution on learner performance in e-learning environments. In Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018 [35] (Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018). Association for Computing Machinery, Inc. https://doi.org/10.1145/3231644.3231693