| Autor: |
Maslina Abdul Aziz, Anis Hasliza Abu Hashim, Fatin Jalillah Kamaruzaman |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016) ISBN: 9789811300738 |
| DOI: |
10.1007/978-981-13-0074-5_12 |
| Popis: |
Selecting a topic is possibly the most difficult part of final year project (FYP). The FYP must be completed by final year students with the aim to train the students to do their work independently while being monitored closely by their supervisors. Usually, the FYP topics chosen can either be from the students or new topic suggested by the supervisor in any computing area. There are some cases where the topics are not suitable for the students and vice versa. Based on this problem, we proposed a recommender system that will help to ease this process. The main objective of this study is to develop E-Research Engine System that could help to match between student and supervisor for the FYP project. A survey was conducted with 50 students from Faculty of Computer and Mathematical Sciences (FSKM), Universiti Teknologi MARA. Results show that the majority of students used a search engine to find their research topic, and most of the students expressed their difficulties to find a suitable research topic that matches with the supervisor’s area of interest. In summary, the proposed E-Research Engine System will help students to save time and effort in finding the best match supervisor with a good quality final year research project topic. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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