Learning Content Adaptation for m-Learning Systems: A Multimodality Approach

Author(s):  
Ivan Madjarov ◽  
Omar Boucelma
i-com ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 17-30
Author(s):  
Sven Strickroth ◽  
Dietmar Zoerner ◽  
Tobias Moebert ◽  
Anna Morgiel ◽  
Ulrike Lucke

AbstractCaused by a deviance of their reward system, autistic people show attention deficits for learning content outside their special fields of interest. This can lead to significant problems, especially in formal learning situations. A promising approach to increase attention is the use of game-based learning concepts. The effect of individual playful aspects could be shown in existing learning systems. However, these do not provide consistent game experiences, which may result in a decreasing motivation for training. Therefore, this paper presents requirements as well as a related game concept to integrate the learning content with a playful narrative in order to promote motivation and attention for socio-emotional training.


Author(s):  
Tiong-Thye Goh ◽  
Kinshuk

Most Web pages are designed with desktop platform access in mind, but with the proliferation of mobile devices such as Personal Digital Assistants (PDAs) and mobile phones, accessing Web pages through a variety of devices without proper content adaptation can result in an aesthetically unpleasant, un-navigable and, in most cases, unsatisfying experience. This article provides an overview of approaches in Web content adaptation framework and techniques being developed to extend the Web application access to non-desktop platforms. After describing general adaptation techniques, the article focuses particularly on the adaptation requirements of learning systems, especially when they are accessed through mobile devices.


Author(s):  
Assma Bezza ◽  
Amar Balla ◽  
Farhi Marir

Individual learners have different requirements and characteristics, and as a result learning content should be able to be personalized and adaptable to the e-learner' profile. Little research work undertaken to tackle this issue, and it has been limited to ad-hoc work on personalizing, and adapting learning content in e-Learning. This paper presents two methods for modeling user profile and for personalizing and adapting a given content to match that profile: inductive (without user intervention) and deductive (with user intervention). These methods will be used as a base to review and classify research work undertaken on personalizing content in the domain of knowledge management and e-learning systems. Based on these reviews, especially those undertaken in personalizing knowledge content in knowledge management systems, the paper proposes a comprehensive approach for personalizing learning content.


Author(s):  
Olawande Daramola ◽  
Olufunke Oladipupo ◽  
Ibukun Afolabi ◽  
Ademola Olopade

Many African academic institutions have adopted the use of e-learning systems, since they enable students to learn at their own pace, time, and without restriction to the classroom. However, evidence of usability evaluation of e-learning systems in Africa is mostly lacking in the literature. This paper reports the experimental heuristic evaluation of the e-learning system of a Nigerian University. The objective is to demonstrate the application of expert-based usability evaluation techniques such as Heuristic evaluation for assessing the attributes of existing e-learning systems. The study revealed that while the e-learning systems has strong credentials in terms of support for Web 2.0 activities, good learning content and boasts of useful e-learning features, improvements are necessary in other areas such as interactive learning, assessment and feedback, and quality of learning content. The study adds to the body of extant knowledge in the area of usability evaluation of e-learning systems in African institutions.


Author(s):  
Tiong T. Goh ◽  
Kinshuk ◽  
Kinshuk

Content adaptation is defined as the process of selection, generation, or modification of content which include text, images, audio, video, navigation, interaction, any object within a Web page, and associate service agreement (Forte, Claudino, de Souza, do Prado, & Santana, 2007) to suit user’s context (TellaSonera, 2004). With the proliferation of mobile devices such as personal digital assistants (PDA) and smart mobile phones which have the capability of accessing the Internet anytime and anywhere, there is an increasing demand for content adaptation to provide these devices with appropriate content that is aesthetically pleasant, easy to navigate, and achieve satisfying user experiences. This article first provides an overview of frameworks and techniques in Web content adaptation that are being developed to extend Web applications to non-desktop platforms. After describing general adaptation techniques, this article focuses particularly on the adaptation requirements for e-learning systems, especially when they are accessed through mobile devices.


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