Abstract
Learning analytics deals with tools and methods for analyzing and detecting patterns in order to support learners while learning in formal as well as informal learning settings. In this work, we present the results of two focus groups in which the effects of a learning resource recommender system and a dashboard based on analytics for everyday learning were discussed from two perspectives: (1) knowledge workers as self-regulated everyday learners (i.e., informal learning) and (2) teachers who serve as instructors for learners (i.e., formal learning). Our findings show that the advantages of analytics for everyday learning are three-fold: (1) it can enhance the motivation to learn, (2) it can make learning easier and broadens the scope of learning, and (3) it helps to organize and to systematize everyday learning.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 2209 |
| Publication status | Published - 1 Jan 2018 |
| Event | 1st Workshop on Analytics for Everyday Learning - Leeds, United Kingdom Duration: 4 Sep 2018 → … |
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Keywords
- Focus group
- Formal learning
- Informal learning
- Learning analytics
- Recommender systems
ASJC Scopus subject areas
- Computer Science(all)
Cite this
Analytics for everyday learning from two perspectives : Knowledge workers and teachers. / Fessl, Angela; Kowald, Dominik; Sola, Susana López; Moreno, Ana; Maturana, Ricardo Alonso; Thalmann, Stefan.
In: CEUR Workshop Proceedings, Vol. 2209, 01.01.2018.Research output: Contribution to journal › Conference article › Research › peer-review
}
TY - JOUR
T1 - Analytics for everyday learning from two perspectives
T2 - Knowledge workers and teachers
AU - Fessl, Angela
AU - Kowald, Dominik
AU - Sola, Susana López
AU - Moreno, Ana
AU - Maturana, Ricardo Alonso
AU - Thalmann, Stefan
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Learning analytics deals with tools and methods for analyzing and detecting patterns in order to support learners while learning in formal as well as informal learning settings. In this work, we present the results of two focus groups in which the effects of a learning resource recommender system and a dashboard based on analytics for everyday learning were discussed from two perspectives: (1) knowledge workers as self-regulated everyday learners (i.e., informal learning) and (2) teachers who serve as instructors for learners (i.e., formal learning). Our findings show that the advantages of analytics for everyday learning are three-fold: (1) it can enhance the motivation to learn, (2) it can make learning easier and broadens the scope of learning, and (3) it helps to organize and to systematize everyday learning.
AB - Learning analytics deals with tools and methods for analyzing and detecting patterns in order to support learners while learning in formal as well as informal learning settings. In this work, we present the results of two focus groups in which the effects of a learning resource recommender system and a dashboard based on analytics for everyday learning were discussed from two perspectives: (1) knowledge workers as self-regulated everyday learners (i.e., informal learning) and (2) teachers who serve as instructors for learners (i.e., formal learning). Our findings show that the advantages of analytics for everyday learning are three-fold: (1) it can enhance the motivation to learn, (2) it can make learning easier and broadens the scope of learning, and (3) it helps to organize and to systematize everyday learning.
KW - Focus group
KW - Formal learning
KW - Informal learning
KW - Learning analytics
KW - Recommender systems
UR - http://www.scopus.com/inward/record.url?scp=85055709477&partnerID=8YFLogxK
M3 - Conference article
VL - 2209
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -