4 Conclusions
Writing this paper has been important to me, as it unveiled through data collected, that large opportunities exist for students when learning in a social and collaborative learning environment. Students who were engaged online and participated in discussions while using the Hypothesis.is tool performed better in the final test. Also, the study shows that there is a large variation within the course modules that were accessed by students, and this could very well be their personal topic preference.
Using machine learning algorithms to better understand the data and how to make changes in a synchronous learning environment requires constant monitoring of students’ interactions.
While a life-long learner is required to participate socially and engage online, this paper addresses the need for some changes regarding the environment in which one learns, as there is many students who are not using the social annotation tools in the synchronous learning environment.