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(11x5=55). So the total score = 0+2+57+132+55=246. Points=246/64=3.84. Table 1 demonstrates the score responses of each learning context. Table 1. The score responses of each learning context Learning Context Strongly Disagree Disagree Neutral Agree Strongly Agree Points Collaboration with other learners. 0 23 0 41 0 3.28 Personal Preferences 0 1 19 33 11 3.84 Mobile device capabilities Prior Knowledge Network Performance Location-based techniques 0 0 0 0 10 0 12 5 0 21 0 25 54 33 52 24 0 10 0 10 3.68 3.82 3.62 3.60 Figure 10. Understanding which learning context is important to the students From the results showed on Table 1, it can be concluded that the most important learning context to the learners in the learning process is the personal preferences, because what suits one learner might not suit another. Most students learn in different ways and have a style or a preference to help them to learn best in their context, it is useful that awareness is raised about this. This may begin with understanding each learner's needs, and then developing personalised learning content to provide a more tailored education for every learner. The second important learning context is prior knowledge, in which they prefer to connect with what they already know about a topic before we start teaching them a new material. It is also important to assess prior knowledge and skills early since such information could be used to help foster student engagement and critical thinking in the course. Finally, it may be concluded that personalise learning content in Mobile Learning process according to the technological context such as location-based techniques, mobile device capabilities and network performance supports the students to access learning resources online more easily and facilitates learning individually and availability of K.Chouchaneetal. /Context inMobileLearning: ThePointofViewof theLearners288
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Intelligent Environments 2019 Workshop Proceedings of the 15th International Conference on Intelligent Environments
Title
Intelligent Environments 2019
Subtitle
Workshop Proceedings of the 15th International Conference on Intelligent Environments
Authors
Andrés Muñoz
Sofia Ouhbi
Wolfgang Minker
Loubna Echabbi
Miguel Navarro-CĂ­a
Publisher
IOS Press BV
Date
2019
Language
German
License
CC BY-NC 4.0
ISBN
978-1-61499-983-6
Size
16.0 x 24.0 cm
Pages
416
Category
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Intelligent Environments 2019