Adaptive E-Learning

Motivating Learners whilst Adapting Feedback to Cultural Background

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The personalization of feedback by an Intelligent Tutoring System has the potential to greatly improve learner motivation. This PhD investigates how an Intelligent Tutoring System can adapt to the cultural background of learners when giving feedback. The research uses the user-as-wizard method for investigation. To convey the cultural background of the learner in user studies, validated cultural stories (using Hofstede cultural dimensions) are required. These stories are then used to conduct qualitative and empirical studies to investigate how participants from a range of different cultures believe the culture of a learner should affect the kind of feedback given. The insights gathered from these studies will be unified to inspire an algorithm to allow an intelligent tutoring system to utilise these adaptations, and the effects tested on real learners.
Original languageEnglish
Title of host publication27th Conference on User Modeling, Adaptation and Personalization (UMAP ’19)
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages341-344
Number of pages4
ISBN (Electronic)978-1-4503-6021-0
DOIs
Publication statusPublished - 9 Jun 2019
EventUser Modelling, Adaptation and Personalization 2019 - Golden Bay Beach Hotel, Larnaca, Cyprus
Duration: 9 Jun 201912 Jun 2019
Conference number: 27
http://www.cyprusconferences.org/umap2019/

Conference

ConferenceUser Modelling, Adaptation and Personalization 2019
Abbreviated titleUMAP
CountryCyprus
CityLarnaca
Period9/06/1912/06/19
Internet address

Fingerprint

learning
personalization
cultural studies

Keywords

  • E-learning
  • Culture
  • Adaptation
  • Feedback
  • DIMENSIONS
  • EMOTION
  • CHARACTER

ASJC Scopus subject areas

  • Software

Cite this

Adamu Sidi-Ali, M. (2019). Adaptive E-Learning: Motivating Learners whilst Adapting Feedback to Cultural Background. In 27th Conference on User Modeling, Adaptation and Personalization (UMAP ’19) (pp. 341-344). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/3320435.3323464

Adaptive E-Learning : Motivating Learners whilst Adapting Feedback to Cultural Background. / Adamu Sidi-Ali, Muhammad.

27th Conference on User Modeling, Adaptation and Personalization (UMAP ’19). New York : Association for Computing Machinery (ACM), 2019. p. 341-344.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Adamu Sidi-Ali, M 2019, Adaptive E-Learning: Motivating Learners whilst Adapting Feedback to Cultural Background. in 27th Conference on User Modeling, Adaptation and Personalization (UMAP ’19). Association for Computing Machinery (ACM), New York, pp. 341-344, User Modelling, Adaptation and Personalization 2019, Larnaca, Cyprus, 9/06/19. https://doi.org/10.1145/3320435.3323464
Adamu Sidi-Ali M. Adaptive E-Learning: Motivating Learners whilst Adapting Feedback to Cultural Background. In 27th Conference on User Modeling, Adaptation and Personalization (UMAP ’19). New York: Association for Computing Machinery (ACM). 2019. p. 341-344 https://doi.org/10.1145/3320435.3323464
Adamu Sidi-Ali, Muhammad. / Adaptive E-Learning : Motivating Learners whilst Adapting Feedback to Cultural Background. 27th Conference on User Modeling, Adaptation and Personalization (UMAP ’19). New York : Association for Computing Machinery (ACM), 2019. pp. 341-344
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