Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/63619
Title: Web-based PSLE English vocabulary learning system
Authors: Tan, Boon Ping
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2015
Abstract: Vocabulary is the essential foundation of every language. The amount of the learned vocabulary words decides that how well a person could express himself or herself using the specific language. Learning vocabulary words from the reference books and practicing from the self-assessment books are the most common way in vocabulary learning and practicing but it is very time consuming for the learners to filter the suitable vocabulary words and questions. On the other hand, the huge amount of vocabulary may overwhelm the new language learner especially the kids. In this project, the author focuses on the automatic vocabulary recommendation for vocabulary learning, and using the Computerised Adaptive Testing (CAT) and the Test Paper Generation (TPG) for vocabulary practicing. The web-based vocabulary learning system is optimised for the Primary School Leaving Examination (PSLE) English vocabulary currently. The vocabulary are categorised into various topics and being associated with the difficulty degree using the Flesch-Kincaid Grade Level. The vocabulary learning system splits the amount of the vocabulary of each topic into smaller portion and recommends them to the learner accordingly to the learner’s learning capability. The learner may practice the currently learned vocabulary, or even challenge himself /herself in the time-constrained CAT and TPG modes as well. The author hopes that the web based vocabulary learning system will help the learner to learn the vocabulary in a more effective way and without overwhelming by the huge amount of the vocabulary.
URI: http://hdl.handle.net/10356/63619
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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Final Year Project Final Report3.45 MBAdobe PDFView/Open

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