Learning analytics in the classroom: Comparing self-assessment, teacher assessment and tests

Michael D. Kickmeier-Rust, Lenka Firtova

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

Abstract

Learning Analytics is an important trend in education. In conventional classroom settings, however, a sound basis of digital data for analytics is lacking. Therefore, it is important to develop the methodologies and technologies to utilize the scattered and heterogeneous bits of available data as effective as possible. It is also important to deploy simple and usable tools to teachers that could help them within the context conditions and constraints of their daily work. In this paper, we introduce a prototypical approach for learning Analytics in the classroom and a simple data collection tool named Flower Tool. This tool enables collecting and comparing students’ self-assessments with teacher-lead assessments and the results of external tests. In a first field study, we gathered feedback from students and teachers about the approach, indicating a strong acceptance and a number of potential advantages for the assessment and reflection processes in the classroom.

Original languageEnglish
Title of host publicationMethodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference
EditorsPierpaolo Vittorini, Fernando De la Prieta, Sara Rodríguez, Elvira Popescu, Loreto Lancia, Rosella Gennari, Tania Di Mascio, Ricardo Azambuja Silveira, Marco Temperini
PublisherSpringer-Verlag Italia
Pages131-138
Number of pages8
ISBN (Print)9783319988719
DOIs
Publication statusPublished - 1 Jan 2019
Event8th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018 - Toledo, Spain
Duration: 20 Jun 201822 Jun 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume804
ISSN (Print)2194-5357

Conference

Conference8th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018
CountrySpain
CityToledo
Period20/06/1822/06/18

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Keywords

  • Formative assessment
  • Learning Analytics
  • Self-assessment

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Kickmeier-Rust, M. D., & Firtova, L. (2019). Learning analytics in the classroom: Comparing self-assessment, teacher assessment and tests. In P. Vittorini, F. De la Prieta, S. Rodríguez, E. Popescu, L. Lancia, R. Gennari, T. Di Mascio, R. A. Silveira, ... M. Temperini (Eds.), Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference (pp. 131-138). (Advances in Intelligent Systems and Computing; Vol. 804). Springer-Verlag Italia. https://doi.org/10.1007/978-3-319-98872-6_16