Title
Arigatō: Effects of Adaptive Guidance on Engagement and Performance in Augmented Reality Learning Environments
Abstract
Experiential learning (ExL) is the process of learning through experience or more specifically “learning through reflection on doing”. In this paper, we propose a simulation of these experiences, in Augmented Reality (AR), addressing the problem of language learning. Such systems provide an excellent setting to support “adaptive guidance”, in a digital form, within a real environment. Adaptive guidance allows the instructions and learning content to be customised for the individual learner, thus creating a unique learning experience. We developed an adaptive guidance AR system for language learning, we call Arigatō (Augmented Reality Instructional Guidance & Tailored Omniverse), which offers immediate assistance, resources specific to the learner's needs, manipulation of these resources, and relevant feedback. Considering guidance, we employ this prototype to investigate the effect of the amount of guidance (fixed vs. adaptive-amount) and the type of guidance (fixed vs. adaptive-associations) on the engagement and consequently the learning outcomes of language learning in an AR environment. The results for the amount of guidance show that compared to the adaptive-amount, the fixed-amount of guidance group scored better in the immediate and delayed (after 7 days) recall tests. However, this group also invested a significantly higher mental effort to complete the task. The results for the type of guidance show that the adaptive-associations group outperforms the fixed-associations group in the immediate, delayed (after 7 days) recall tests, and learning efficiency. The adaptive-associations group also showed significantly lower mental effort and spent less time to complete the task.
Year
DOI
Venue
2022
10.1109/TVCG.2022.3203088
IEEE Transactions on Visualization and Computer Graphics
Keywords
DocType
Volume
Experiential learning,instructional guidance,adaptive learning systems,augmented reality,engagement,language Learning
Journal
28
Issue
ISSN
Citations 
11
1077-2626
0
PageRank 
References 
Authors
0.34
17
6
Name
Order
Citations
PageRank
Maheshya Weerasinghe111.50
A. Quigley284684.08
Klen Copic Pucihar32611.20
Alice Toniolo410.82
Angela Miguel500.34
Matjaž Kljun672.23