User-centred design and educational data mining support during the recommendations elicitation process in social online learning environments

Self-regulated learning is attracting tremendous researches from various communities such as information communication technology. Recent studies have greatly contributed to the domain knowledge that the use self-regulatory skills enhance academic performance. Despite these developments in SRL, our understanding on the tools and instruments to measure SRL in online learning environments is limited as the use of traditional tools developed for face-to-face classroom settings are still used to measure SRL on e-learning systems. Modern learning management systems (LMS) allow storage of datasets on student activities. Subsequently, it is now possible to use Educational Data Mining to extract learner patterns which can be used to support SRL. This chapter discusses the current tools for measuring and promoting SRL on e-learning platforms and a conceptual model grounded on educational data mining for implementation as a solution to promoting SRL strategies.

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Educational Data Mining and Learning Analytics for Improving Online Learning Environments

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641113 ◽

2020 ◽

Vol 64 (1) ◽

pp. 500-504

Author(s):

Yancy Vance Paredes ◽

Robert F. Siegle ◽

I-Han Hsiao ◽

Scotty D. Craig

Keyword(s):

Data Mining ◽

Educational Technology ◽

Human Factors ◽

Learning Environments ◽

Learning Analytics ◽

Educational Data Mining ◽

Educational Systems ◽

User Centered Design ◽

High Quality ◽

Online Learning Environments

The proliferation of educational technology systems has led to the advent of a large number of datasets related to learner interaction. New fields have emerged which aim to use this data to identify interventions that could help the learners become efficient and effective in their learning. However, these systems have to follow user-centered design principles to ensure that the system is usable and the data is of high quality. Human factors literature is limited on the topics regarding Educational Data Mining (EDM) and Learning Analytics (LA). To develop improved educational systems, it is important for human factors engineers to be exposed to these data-oriented fields. This paper aims to provide a brief introduction to the fields of EDM and LA, discuss data visualization and dashboards that are used to convey results to learners, and finally to identify where human factors can aid other fields.

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Supplemental Material for An Attribution-Based Motivation Treatment for Low Control Students Who Are Bored in Online Learning Environments

Motivation Science ◽

10.1037/mot0000081.supp ◽

2017 ◽

Keyword(s):

Online Learning ◽

Learning Environments ◽

Online Learning Environments

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A motivation treatment to enhance goal engagement in online learning environments: Assisting failure-prone college students with low optimism.

Motivation Science ◽

10.1037/mot0000107 ◽

2019 ◽

Vol 5 (2) ◽

pp. 116-134 ◽

Cited By ~ 7

Author(s):

Jeremy M. Hamm ◽

Raymond P. Perry ◽

Judith G. Chipperfield ◽

Patti C. Parker ◽

Jutta Heckhausen

Keyword(s):

College Students ◽

Online Learning ◽

Learning Environments ◽

Online Learning Environments

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Is Internationalization Intentionally Integrated in Online Learning Environments? Exploring the Challenges and Possibilities

International Journal on Innovations in Online Education ◽

10.1615/intjinnovonlineedu.2020035172 ◽

2020 ◽

Author(s):

Omolabake Fakunle ◽

Jennifer Lock ◽

Carol Johnson

Keyword(s):

Online Learning ◽

Learning Environments ◽

Online Learning Environments

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Culturally-Sensitive E-Learning Practices for Library Education

Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI ◽

10.29173/cais361 ◽

2013 ◽

Author(s):

Leslie Farmer

Keyword(s):

Online Learning ◽

Learning Environments ◽

Culturally Sensitive ◽

Cultural Dimensions ◽

Educational Model ◽

Cultural Impact ◽

Online Learning Environments ◽

Library Education ◽

Learning Practices ◽

E Learning

With globalization, library educators should address culturally-sensitive instruction design and curriculum, particularly in online learning environments. Hofstede’s cultural dimensions and Bigg’s educational model provide frameworks for addressing cultural impact on library education. Specific techniques are suggested for handling language and online learning issues.Avec la mondialisation, les professeurs de bibliothéconomie devraient incorporer les différences culturelles dans leurs cours ainsi que dans le cursus, notamment en milieu d'apprentissage en ligne. Les dimensions culturelles de Hofstede et le modèle éducatif de Bigg offrent un cadre permettant de traiter de l'impact culturel sur l'éducation. Seront présentées différentes techniques pour aborder les questions de langue et d'apprentissage en ligne.

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