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Abstract-This paper proposes a comprehensive mobile learning model in the context of smart classroom environment as a part of a holistic approach to implement an efficient Technology Enhanced Learning (TEL) environment. In this proposed model, the components of the mobile learning as being essential parts of a smart classroom and systematically integrate the mobile features with teaching and learning environment. However, there are many challenges to generalize about this type of learning in any educational system. One of the major causes of these challenges is the lack of an integrated model in a holistic approach to smart classroom and TEL environment. Another critical challenge is not adopting an efficient m-learning inside the smart classrooms. In addition, incorporating many pedagogical and technological elements becomes a new dimension of complexity. The new model is introduced not only to implement a holistic m-learning approach capable of overcoming these challenges, but also to assist the schools and the stakeholders responsible for the national e-learning initiatives.

Artificial Immune Systems (AIS) are a branch of computational intelligence field inspired by the biological immune system. It has gained a lot of interest by researchers during the past decade aiming to develop immune-based models and techniques to solve complex computational or engineering problems. This work presents some applications of AIS techniques to health problems, i.e., cancer prediction, in addition to a thorough survey of existing AIS models and algorithms with a focus on the last five years.

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