Annajiat Alim Rasel
http://hdl.handle.net/10361/7327
2024-03-28T17:07:13Z
-
Computer assisted learning dictionary for rural students
http://hdl.handle.net/10361/10472
Computer assisted learning dictionary for rural students
Rasel, Annajiat Alim
It is observed that rural students (the target demography) are falling far behind in the countrywide standard tests like SSC and HSC. As high as up to 80% of students from rural areas are failing in national English examinations due to lack of quality and extra-care received by urban students. Training up school and college teachers from one village at a time will take too long to achieve. Furthermore, the extra-care received by urban students like private tuition, the surrounding environment which uses English a lot would be too expensive. It would be almost infeasible to replicate the urban environment in rural areas.
English language skills are usually tested in four key areas, listening, reading, writing and speaking. Public examinations in Bangladesh only tests reading and writing skills. This is done in two parts through English 1st paper Examination and English 2nd paper Examination. These parts focus mostly on reading and writing skills respectively. Both of these skills heavily rely on stock vocabulary. Vocabulary stock depends on how much vocabulary students could learn by reading. On the other hand, being able to read requires some vocabulary. Due to limited vocabulary, it becomes difficult for the students to read and write in English. Sentence construction and being able to express in English is a more advanced task compared to reading. This work focuses on building vocabulary for academic reading for the English 1st part examination. The goal is to assist the rural students in acquiring sufficient vocabulary so that they can read the board book prescribed by the National Curriculum & Textbook Board (NCTB) as a Textbook.
The more words students know, the more they can read. On the other hand, the more they read the more words they will know. It appears to be a chicken and egg problem. Due to an extremely small size of vocabulary known by students from rural areas of Bangladesh, it becomes tough for them to increase their vocabulary size and to be able to read. It leads to nationwide failure in English examination in addition to Mathematics. This work investigates what approach student may follow to acquire more vocabulary to make their reading smoother.
Despite the availability of resources for this purpose, according to our investigation, no empirical research has yet identified the learning environments and the unique learning requirements of the target demography. This work aims to explore the possibilities of automated morphosyntactic tagging of the educational material for these courses and automated extraction of linguistic patterns from the tagged corpora.
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering of BRAC University, 2018.; Cataloged from PDF version of thesis report.; Includes bibliographical references (page 42-46).
2018-05-01T00:00:00Z
-
University course advising: overcoming the challenges using decision support system
http://hdl.handle.net/10361/7329
University course advising: overcoming the challenges using decision support system
Roushan, Tanvir; Chaki, Dipankar; Hasdak, Onishim; Chowdhury, Md. Syeed; Rasel, Annajiat Alim; Rahman, M. Abdur; Arif, Hossain
Universities require a fast and reliable system to provide academic advising to its students, register them into different courses, and to manage change requests. Currently in Bangladesh, academic advising is done mostly on paper, as seen in many of the public and private universities. In this paper, we propose a unique online-based system that would make the university course advising and registration process easier and intelligent. The proposed online tool will work very closely and interdependently with each educational institution's own course curriculum, grading system, and university policies. The intention of this paper is to find key challenges in the system and to evaluate the efficiency of an easy-to-read web-based course advising and decision support tool. The tool expedites the academic advising process. It acts as an online advisor for the students, eases the task and save time of the advisors by automation of redundant tasks and reducing paper work. The recommended advising software through its decision support system aids both students and teachers with unique facilities. It also provides additional time for advisors to focus on students' development.
This conference paper was presented in the 16th International Conference on Computer and Information Technology, ICCIT 2013; Khulna; Bangladesh; 8 March 2014 through 10 March 2014; [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICCITechn.2014.6997355
2014-12-01T00:00:00Z