Evaluating Students’ Emotional Response in Augmented Reality-Based Mobile Learning Using Kansei Engineering

Author(s):  
An-Nur Atiqah Khairuddin ◽  
Fauziah Redzuan ◽  
Nor Aziah Daud
Author(s):  
Fauziah Redzuan ◽  
An-Nur Atiqah Khairuddin ◽  
Nor Aziah Daud

<span>In recent times, various studies have shown that Augmented Reality (AR) will be the next wave of online learning. This is because of the advent of powerful smartphones that has changed user experiences, thereby able to increase the capability of AR. There has been much concentration in previous studies on cognition towards the use of AR in education, in which little consideration has been given to emotions which is also an important aspect in learning. Based on this, the present research aims to identify salient connections between emotions and design elements of AR-based mobile learning material through the application of the Kansei Engineering (KE) approach. In order to achieve this study objective, the use of a human heart in relation to the mobile AR application of the KE approach was adopted in this research as a case study, in which seven specimens of the mobile AR application were evaluated including 55 emotions of Kansei Words (KW). Additionally, the kansei evaluation experiment of this study was carried out by 28 students from one of the public universities, after which the data were analysed using Factor and Principal Component Analysis. The results of this study show the important pillars of emotions or Kansei semantic space of emotions for AR-based mobile learning materials. Based on Factor Analysis, it revealed four main pillars; <em>professional-motivated</em>, <em>confused</em>, <em>wandering-thrilled</em>, <em>challenging</em> and one additional pillar; <em>trustable</em>. Besides that, this research also described design elements of AR-based mobile learning material that might evoke specific emotions based on the identified pillars. Finally, the findings of this research are hoped to be applicable as a guide in design during preparation of AR-based mobile learning materials with affective elements in the future.</span>


Author(s):  
Farah Asyikin Jasmy ◽  
Fauziah Redzuan ◽  
Rogayah Abdul Majid ◽  
Norisan Abd Karim

Design that evoked emotions are one of the main concerning issues in developing mobile applications for online learning in general and for augmented reality (AR) based mobile learning applications in specific. Emotional design could attract users by creating different feelings while using AR-based mobile learning applications. Suitable emotions related to design could motivate students towards fascinating learning experiences. The aim of this research is to evaluate the emotional responses of the students based on different designs in AR-based mobile learning applications using Kansei engineering technique. In this research, about thirty-two students from secondary school were involved in an experiment to identify the Kansei (emotion) words for AR-based mobile applications. The data gathered were analysed using factor analysis (FA), principal component analysis (PCA), and partial least square (PLS) analysis. The results revealed four important pillars of emotions or known as Kansei semantic space such as challenging-thinking, motivated, humorous, preoccupied and also touched as an additional pillar. Based on the PLS analysis of design elements of AR-based mobile learning applications suggested specific design and emotions based on the pillars. In conclusion, this research is motivated to give affective formulae that would guide the design of AR-based mobile learning materials in the future.


2014 ◽  
Vol 926-930 ◽  
pp. 1882-1885
Author(s):  
Lin Tao Li

Augmented reality can create a learning environment to learners, combining the actual condition of let them around to see the real environment at the same time, also can see a computer, virtual information generated by mobile phones as the implementation of the augmented reality application platform, due to the mobility, portability, and human-computer interaction and so on, has strong advantage, and therefore more mobile learning application prospect, this paper discusses the structure of augmented reality based on mobile phone key technology and main function features, on the basis of to augmented reality based on mobile phone and its application in mobile learning has a deeper understanding.


2014 ◽  
pp. 412-435
Author(s):  
José Bidarra ◽  
Meagan Rothschild ◽  
Kurt Squire ◽  
Mauro Figueiredo

Smartphones and other mobile devices like the iPhone, Android, Kindle Fire, and iPad have boosted educators' interest in using mobile media for education. Applications from games to augmented reality are thriving in research settings, and in some cases schools and universities, but relatively little is known about how such devices may be used for effective learning. This article discusses the selection and potential use of electronic games, simulations and augmented reality in mobile learning supported by an operational model called AIDLET. After analyzing the different approaches to the use of digital technology and games in education, and discussing their benefits and shortcomings, a framework was developed to facilitate the selection, repurposing, design and implementation of games, simulations and augmented reality, with focus on the practical aspects of the processes used in mobile learning. It is apparent that these devices for learning are valued by students and teachers alike, and that they may be used as personalized devices for amplifying learning, specifically through amplifying access to information, social networks, and ability to participate in the world. Furthermore, whereas traditional learning is based on knowledge memorization and the completion of carefully graded assignments, today, games, simulations and virtual environments turn out to be safe platforms for trial and error experimentation, i.e. learning by doing or playing. In this context, the AIDLET model was set out and verified against a taxonomy representing the main categories and genres of games, and the article concludes with implications for how teachers, instructional designers and technologists might best capitalize on the affordances of mobile devices when designing for blended learning and e-learning courses.


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