Titlebook: Advances in Social Networking-based Learning; Machine Learning-bas Christos Troussas,Maria Virvou Book 2020 Springer Nature Switzerland AG

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depreciate

Introduction,developed and evaluated. Moreover, the chapter provides an insight on how social networks can serve as learning tools and presents open research questions on the related fields, proving that there is scope for a lot of improvement in terms of adaptivity and personalization in social networking-based learning.

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Dedication

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X.25 Packet-Switched Network Layerhe evaluation were very encouraging. They demonstrated that the system effectively adapts the learning process to the students’ learning style while assisting them by diagnosing their misconceptions, recommending win-win collaborations, detecting their frustration and responding to this negative emotion.