Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Thi Nguyen 1 ; 2 ; Ngoc Nguyen-Huynh 1 ; 2 and Thi My Hang Vu 1 ; 2

Affiliations: 1 Faculty of Information Technology, University of Science, Ho Chi Minh City, Vietnam ; 2 Vietnam National University, Ho Chi Minh City, Vietnam

Keyword(s): Knowledge Model, Ontology, Learning Design, Learning Analytics.

Abstract: Learning design (LD) have been a prominent topic in the academic community for many years. It aims at planning and organizing learning activities and resources to promote learning process and engage students in achieving learning outcomes. Learning analytics (LA) has matured in the education field and developed a strong connection with learning design. Learning analytics provides valuable insights to inform learning design decisions, while learning design serves as a means to turn learning analytics results into actionable strategies. Their alignment completes the big picture for enhancing teaching and learning. Despite numerous studies proposing means to support LD/LA and their alignment, both fields still face many challenges due to the lack of a consolidated framework for reflecting on the various types of knowledge essential for LD/LA. This paper aims at proposing a comprehensive framework, named EduP (Education-Domain-User-Pedagogy), that supports LD/LA by leveraging different t ypes of knowledge. The main contributions of the framework include a knowledge model and an insight engine. The knowledge model helps clarify essential components for LD/LA and their relationships, while the insight engine addresses how this knowledge is accessible to teachers in the context of LD/LA. A brief discussion on the implications and future research is also presented. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.122.218

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nguyen, T., Nguyen-Huynh, N. and My Hang Vu, T. (2024). Support Learning Design and Analytics with EduP Knowledge Model. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS; ISBN 978-989-758-716-0; ISSN 2184-3228, SciTePress, pages 97-107. DOI: 10.5220/0013019600003838

@conference{kmis24,
author={Thi Nguyen and Ngoc Nguyen{-}Huynh and Thi {My Hang Vu}},
title={Support Learning Design and Analytics with EduP Knowledge Model},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS},
year={2024},
pages={97-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013019600003838},
isbn={978-989-758-716-0},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS
TI - Support Learning Design and Analytics with EduP Knowledge Model
SN - 978-989-758-716-0
IS - 2184-3228
AU - Nguyen, T.
AU - Nguyen-Huynh, N.
AU - My Hang Vu, T.
PY - 2024
SP - 97
EP - 107
DO - 10.5220/0013019600003838
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic