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Erschienen in:
Using Wikis to Evaluate Students’ Contributions to Collaborative Writing in Teacher Education Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Vygotsky Based Sequencing Without Domain Information: A Matrix Factorization Approach

verfasst von : Carlotta Schatten, Ruth Janning, Lars Schmidt-Thieme

Erschienen in: Computer Supported Education

Verlag: Springer International Publishing

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Abstract

Sequencing contents, like tasks, hints, and feedbacks, is an open issue for Intelligent Tutoring Systems. The common approach is based on domain analysis by experts, who characterize each content with skills involved and a difficulty level. In addition, Machine Learning based sequencers require a specific dataset collection to create users’ models and a sequencing policy, which needs to be tested online with strong ethical requirements and a high number of users. In this paper we design a simulated learning environment with customizable scenarios. We also show that a performance prediction method can be used to crate offline fully personalized students’ models and sequence contents without domain engineering/authoring effort. The performance prediction method is enhanced by a score-based policy inspired by Vygotsky’s concept of Zone of Proximal Development and shows promising results compared to curriculum based policies in the designed simulated environment.

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Vorheriges Kapitel Removing the Barriers to Adoption of Social OER Environments
Nächstes Kapitel The Temporal Change of Attentional Levels Under Different Music Environments
Fußnoten
1
The MF was previously trained with \(n_s\) students that were used to learn the characteristic of the contents. Consequently, the dimensions of the MF during the simulated learning process are: \(\varPsi \in \mathbb {R}^{n_c\times P}\) and \(\varPhi \in \mathbb {R}^{(n_s+n_t)\times P}\), so that \(Y \approx \hat{Y} = \varPsi \varPhi \).
 
2
A content with ID 2 is easier than a content with ID 100, see Fig. 3.
 
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Metadaten
Titel
Vygotsky Based Sequencing Without Domain Information: A Matrix Factorization Approach
verfasst von
Carlotta Schatten
Ruth Janning
Lars Schmidt-Thieme
Copyright-Jahr
2015
Buch
Computer Supported Education

Print ISBN: 978-3-319-25767-9

Electronic ISBN: 978-3-319-25768-6

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-25768-6_3