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

不知疲倦

Mischa Schwartz,Thomas E. Sternocial networking-based language learning system, called POLYGLOT. In POLYGLOT, students can declare their affective state among “happy”, “frustrated” and “neutral”. However, their interaction with the tutoring system, i.e. experiencing difficulty in a test or receiving a bad grade, can be a blockage

legislate

Mischa Schwartz,Thomas E. Sternre. POLYGLOT is comprised of the following modules: Social Media User Interface module, Learning content module, Student model, Error diagnosis module, Win-Win Collaboration module, Frustration Recognition and Response module (Affective module), Learning style detection module and Adaptation model.

指令

Oratory

Computer Network Architectures and Protocolsising from the utilization of social networks in this field. Indeed, the utilization of social networks in the field of e-learning brings considerable changes in the domain of knowledge acquisition since the features and capabilities of social networks create a new era in technology-aided instructio

欺騙手段

漂亮才會(huì)豪華

Book 2020o be used to create interactive educational environments where students can learn, collaborate with peers and communicate with tutors while benefiting from a social and pedagogical structure similar to a real class. ..?..The book first discusses in detail the current trend of social networking-based

沉默

Mischa Schwartz,Thomas E. Stern e-learning systems tend to mainly incorporate intelligence in their reasoning and diagnostic mechanisms but they offer very limited social characteristics in the educational process. This chapter provides an insight to the aforementioned research area that can be valuable to tutors, senior and juni

CLASH

Computer Network Architectures and Protocols1 holds a misconception on A but not B while student 2 holds a misconception on B but not A. This rationale can enhance students in the learning process and ameliorate the degrees of knowledge acquisition and knowledge restitution.

duplicate

cutlery

Computer Network Architectures and Protocolsthm (k-nearest neighbors algorithm) which takes as input several students’ features, including their age, gender, educational level, computer knowledge level, number of languages spoken and grade on preliminary test, in order to detect automatically their learning style. Moreover, our system incorpo