Improvement of affected Intellectual behavior student's by social media using collaboration learning method | IEEE Conference Publication | IEEE Xplore

Improvement of affected Intellectual behavior student's by social media using collaboration learning method

Publisher: IEEE

Abstract:

Social Media (SM) is a web-based service that gives a unique option for creating public or private profile in a limited system. It helps to build community sense through ...View more

Abstract:

Social Media (SM) is a web-based service that gives a unique option for creating public or private profile in a limited system. It helps to build community sense through networking, knowledge co-construction through cooperation, and room for individualization through individualization while learning has been differentiated to accumulate for diverse learning requirements. According to SM application, there are negative aspects which get related over increment of connectivity but there are several positive characteristics present in the SM that have positional for engaging students with an environment of quality learning. These applications of SM have created an online environment, the user present in the application has performed as creator instead of passive users whereas it allowed users to share and exchange their idea in terms of read and write. In the case of education, the advancement of SM is to recognize there collaboration and communication. Hence, this paper is performed based on the examining student intellectual behavior impact performance by SM in college present over Chennai and focused the affected students as Research Learner (RL) to build up their learning behavior using the same SM with the methodology of Collaborative Learning (CL). Moreover, the identification of analyzing the positive and negative aspects of students are done through Google form survey done to 837 students presented with questionnaires based on variable like SM improve academic performance, SM build good relationship, SM create introvert, SM cause health problem and time spending in SM are observed while using SM to the student of its institute. This research has revealed that use of SM sites have affected an academic performance for the students by engagement and collaborative learning through SM which can be predicted by exact dimension reduction using Sparse Principal Components Analysis (SPCA).
Date of Conference: 04-06 August 2021
Date Added to IEEE Xplore: 23 September 2021
ISBN Information:
Publisher: IEEE
Conference Location: Coimbatore, India

1. Introduction

In the last decade, the SM development has become an essential role to acquire and proliferate information in various domains namely entertainment, politics, business, crisis management and science [1]–[4]. The SM gets familiar due to opportunity for creating or receiving and sharing of public message at less cost. The usage of SM may lead to an increase in data accumulation that is termed as SM Big data and the platform of SM has offered several data formats potentials involving video, picture, textual data, geolocation and sound [5]. In general, the data gets segregated into structured and unstructured data whereas textual content is an example of unstructured data and the relationship of friend or follower is an example of structured date in social network.

References

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