http://ir.lib.seu.ac.lk/handle/123456789/4379 2026-04-28T15:14:05Z http://ir.lib.seu.ac.lk/handle/123456789/4381 Progression of Selection Rate of Information and Communication Technology Subject in GCE Advanced Level at Ampara District Ahamed Sabani Mohamed Jamaldeen and Shafana Muhammed Shareef Information and Communication Technology (ICT) is a requisite knowledge to meet this digital era. It facilitates human life in all areas and fields connected with our day to day life activities. Thus, the Sri Lankan government introduced ICT subject as a combination for all GCE Advanced Level (A/L) stream in the year 2011 and introduced a new stream call Technology stream in 2015. This study analyzed the success state of these activities of government by measuring the interest of students in ICT subject selection and progression of selection of ICT as one of the main subjects on GCE A/L Examination at Ampara district. Data were collected from relevant bodies of five educational zones namely Akkaraipattu, Ampara, Kalmunai, Sammanthurai and Thirukkovil of Ampara district. Analysis results proved that, the selection rate of ICT subject has a remarkable improvement in the year 2015 and it has a modest increase from the year 2015 because of the arrival of Technology stream. Moreover, more than 60% of students are getting success in their ICT subject on GCE A/L examination every year. In addition, the Engineering Technology students are more desirable to select ICT subject as a combination with other two major subjects than the Biosystems Technology students. Also, more than 50% of technology stream students select ICT as one of the main subjects even though it is being one of the basket subjects with other ten optional subjects. The analysis results enlighten that there is a fast progression in the selection of ICT subject in GCE A/L at Ampara District. 2019-01-01T00:00:00Z http://ir.lib.seu.ac.lk/handle/123456789/4380 A Measurement Study on Racist Hate Speech in Twitter using Tweet Binder Firthows Hassan Ahamed Shibly The role of social media is in our daily lives is immense. It has many positive sides as well as negative sides especially in the society and human behaviors. Some people are trying to use the social media for tarnishing the routine setup of the society. Some people use these websites for anti-social behaviors including cyber stalking, cyber bullying, trolling, harassments and hate speech. At present, social media websites have started creating serious efforts to control racist hate speech. But, most of them are still facing challenges to come up with an efficient solution. The aim of this research is to explore and measure the racism hate speeches in Twitter. Predictive research method of quantitative studies was applied to carry out this research. Since it is a technological based research, Tweet Binder analytical tool was used to analyze the data. For this research work, the researcher use the dataset for racist hate speech distributed via data world which consists 517 racist hate speeches. Simple random sampling method was used to test the data. As a results, it found that all formats of tweets including text, replies, retweet, pictures and links have most number of racist hate speeches. Especially replies and retweets have highest number of hate speeches. It is highly recommended to Twitter and other social media websites to implement strict policies and mechanisms to control hate speeches to control them to create a peaceful social media environment 2019-01-01T00:00:00Z