Revision Through Twitter: Do Tweets Affect Students' Performance?

نویسنده

  • Jowati Juhary
چکیده

Twitter is one of the free micro bloggings available today. Created in 2006, Twitter has about 500 million registered users worldwide. Many scholars have been debating over the use of Twitter in teaching and learning. This brief research paper aims to look at Twitter as a source for revision for a course offered at the Defence University in Kuala Lumpur. The assumption is that the students are able to score a higher grade when Twitter is used as a revision tool. 32 students participated in this study and tweets were used to support students during their revision period before the second test and the final examination. Data were analysed based on the results of Test 1 (without Twitter as a revision tool) and Test 2, where comparisons were made to see whether there is a change in the students’ results. Further, the tweets sent to/shared with students and the retweets shared by students were also examined. A survey was also conducted to explore the respondents’ thoughts on using Twitter as a revision tool. Preliminary findings suggest that the students had greatly benefitted when Twitter is used to help students do revision. This is because the results of Test 2 show that all students had an increase in the test result. The results of the survey also indicate that students were positive about using Twitter to assist their revision. Although it cannot be conclusively determined whether Twitter was the only factor that contributed to the increase of students’ results in Test 2, this paper will highlight how Twitter can be used as an effective revision tool.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

متن کامل

Detection of Twitter Users' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets

Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides suitable conditions for research in this field to examine the attitudes of different people about this vaccine. The results in one hand will help h...

متن کامل

Detection of Twitter Users' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets

Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides suitable conditions for research in this field to examine the attitudes of different people about this vaccine. The results in one hand will help h...

متن کامل

A Twitter-based Recommendation System for MOOCs based on Spatiotemporal Event Detection

Nowadays, students utilize MOOCs (e.g., Coursera, edX) and SNS services (e.g., LINE, Twitter, Facebook, Tumblr) in courses for learning. This paper presents a Twitter-based recommendation system to search and communication, and it is associated with a web page by detecting spatiotemporal events such as opinions, questions, or impressions about courses on Twitter. Through it, users can grasp pop...

متن کامل

Incorporating Tweet Relationships into Topic Derivation

With its rapid users growth, Twitter has become an essential source of information about what events are happening in the world. It is critical to have the ability to derive the topics from Twitter messages (tweets), that is, to determine and characterize the main topics of the Twitter messages (tweets). However, tweets are very short in nature and therefore the frequency of term co-occurrences...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • iJET

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2016