Text Mining in Educational Objectives for Arabic Twitter Educator Accounts
Mohammed Awad Alasmrai, Adel R. Alharbi · Literacy Information and Computer Education Journal · 2020
Twitter is a social networking site that offers micro blogging services to interact via Twitter posts, also called tweets, on any devices with Internet access.In Saudi Arabia, Twitter users occupy the second place worldwide.The vast majority of educators and learners students, providers, and educational organizations utilize Twitter, for facilitator-learner interactions and lifelong learning experiences.In the past few years, researchers have significantly studied online social networking sites to examine the relationship between educational outcomes and social networking.However, there is little research exploring integration of microblogging tool, Twitter, into adult and continuing education as well as facilitating for adult learners how to find the right twitter accounts based on learning outcomes.In addition, there is too much shared public and educational information, which is foolproof to spread unrelated content.Subsequently, this counterproductive and prevent adult learners from achieving the learning outcomes.This work purposes to develop a model that could classify Arabic tweets in adult educators' accounts into one of three types of learning outcomes: knowledge, skill, and affective in order to predict tweets belonging to each of these outcomes.Our results show the highest accuracy classification rates through applying support vector machine and random forest algorithms with above 0.75 for all learning outcomes.