Our future target is to establish a benchmark that will be guaranteed by professional skill development. Our previous research findings and developed components of e-Learning Research and Development Lab (eLRD-Lab) like, PBL model, problem bank, question bank similarity searching (QBSS), web-based integrated development environment, exam undertaking, automatic evaluation, result monitoring, etc have been exclusively applied in this design. We have segmented and designed possible program tracks and assessment methods to ensure the best outcome of virtual transformation in the field of internship. In this research, we have designed a Virtual Internship System (VIS) that will solve the major problems of virtual workplace management and interconnect our young generation with the industry regardless of their physical location and other obstacles. A virtual internship platform in a blended learning environment to design a preferred virtual program that will overcome many limitations of professional skill development among final year computer science (CS) students or fresh graduates. Problem-based learning (PBL) design with the incorporation of educational institution/software industry and technology education has long been accepted as an important step in the developmental process of future learning designers. In regard to English information retrieval, It was observed that TF-IDF showed higher performance before term percentage 0.3 while Latent Semantic Indexing (LSI) was more stable than TF-IDF, especially in terms of the use of word association. The cosine similarity is also used to determine the closed vector of document to the user query.
Finally, a Singular Value Decomposition (SVD) approach has been used in which a huge weight of term-document matrix is factorized into collection of vectors for approximation of the original matrix. Also, the user query is represented as vector of weight. Each document is presented as a vector of weight in the space.
The study benefited from the use of Term Frequency Inverse Document Frequency (TF-IDF) method to assign weight for each term in the document. The proposed model uses the implicit of higher rank structure in combing terms with document to optimize the identification of relevant document based on terms used in queries with an enhanced automatic indexing approach has been suggested. Synonymy and polysemy act as a barrier for natural language processing algorithms due to overestimation and misrepresentation. The main function of information retrieval (IR) system is to obtain efficient and exactly a minimum subset of document that is related to user concern. The accuracy of searching performance which has found to be satisfactory. QB3S has been evaluated in some experimental dataset to find results by imposing different test cases. By using cosine similarity product rule, we have been Calculated the similarity value between the query input and all mcq of DB from VSM. Vector Space Model(VSM) has been designed from the value of TF-IDF weighted matrix. A Word-net has been used for handling synonyms. The most challenging procedures of QB3S were Analyzing the structure of data for clustered indexing in the sorted sequential file of the QB DataBase(DB) with a B+ tree data structure and improved TF-IDF algorithm with weighted functionality. Lexical analysis, stemming by finite automata rules and stopwords removing have been used for bangla document processing. QB3S has four modules: bangla documents processing, question structure analysis and clustered indexing by B+ tree, word-net construction and Information retrieval module. We have been developed an efficient Question Bank Similarity Searching System(QB3S) to find similar questions, handle duplicate question and rank search result of a query input based on NLP and Information Retrieval techniques. Searching similarity in the complex structure of QB is a challenging task in the development of PBeL system.
Question Bank(QB) is the main component of any PBeL system. Problem Based e-learning(PBeL) in bangla language is one of the most progressing areas of the use of ICT in education.
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