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A conceptual model towards the scaffolding of learning experience

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationThird International Conference, GALA 2014, Bucharest, Romania, July 2-4, 2014
PublisherSpringer Verlag
Pages83-96
Number of pages14
Volume9221
ISBN (Print)9783319229591
DOIs
Publication statusPublished - 2015
Publication typeA4 Article in a conference publication
EventGames and Learning Alliance Conference - , Romania
Duration: 1 Jan 2015 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9221
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceGames and Learning Alliance Conference
CountryRomania
Period1/01/15 → …

Abstract

The challenge of delivering personalized learning experiences is amplified by the size of classrooms and of online learning communities. In turn, serious games are increasingly recognized for their potential to improve education, but a typical requirement from instructors is to gain insight into how the students are playing. When we bring games into the rapidly growing online learning communities, the challenges multiply and hinder the potential effectiveness of serious games. There is a need to deliver a comprehensive, flexible and intelligent learning framework that facilitates better understanding of learners’ knowledge, effective assessment of their progress and continuous evaluation and optimization of the environments in which they learn. This paper aims to explore the potential in the use of games and learning analytics towards scaffolding and supporting teaching and learning experience. The conceptual model discussed aims to highlight key considerations that may advance the current state of learning analytics, adaptive learning and serious games, by leveraging serious games as an ideal medium for gathering data and performing adaptations. This opportunity has the potential to affect the design and deployment of education and training in the future.

Publication forum classification

Field of science, Statistics Finland