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

Michael D. Kickmeier-Rust*, Lenka Firtova

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

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.

Originalspracheenglisch
TitelMethodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference
Redakteure/-innenPierpaolo Vittorini, Fernando De la Prieta, Sara Rodríguez, Elvira Popescu, Loreto Lancia, Rosella Gennari, Tania Di Mascio, Ricardo Azambuja Silveira, Marco Temperini
Herausgeber (Verlag)Springer-Verlag Italia
Seiten131-138
Seitenumfang8
ISBN (Print)9783319988719
DOIs
PublikationsstatusVeröffentlicht - 1 Jan 2019
Veranstaltung8th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018 - Toledo, Spanien
Dauer: 20 Jun 201822 Jun 2018

Publikationsreihe

NameAdvances in Intelligent Systems and Computing
Band804
ISSN (Print)2194-5357

Konferenz

Konferenz8th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, 2018
LandSpanien
OrtToledo
Zeitraum20/06/1822/06/18

ASJC Scopus subject areas

  • !!Control and Systems Engineering
  • !!Computer Science(all)

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