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CONCEPTUAL KNOWLEDGE MODEL FOR IMPROVING TERM SIMILARITY IN RETRIEVAL OF WEB DOCUMENTS
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TEACHING PRACTICE ANXIETY AND PERFORMANCE OF STUDENT-TEACHERS IN FEDERAL COLLEGES OF EDUCATION IN SOUTH-WEST NIGERIA
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Page will reload when a filter is selected or excluded.- Federal Colleges of Education in South-West Nigeria 1 results 1
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- Studies have shown that student-teachers are performing below expectation in the Teaching Practice (TP) exercise; a core aspect of the College of Education (CoE) curriculum. This TP poor performance trend in the CoE has been partly attributed to anxiety among the student-teachers. However, previous studies on TP performance have been limited to impacts of supervision issues, students‟ demographic factors, excess workload, duration of the exercise, planning and preparation problems and incentives-related issues without much consideration for the impact of the students‟ anxiety before and during the exercise. This study, therefore, examined teaching practice anxiety as a correlate of student-teachers‟ performance in the teaching practice in Federal Colleges of Education in South-West, Nigeria. The study adopted the descriptive survey design. Three federal CoE were randomly selected out of the four in the South-West, namely, Federal College of Education (Special) Oyo, Federal College of Education (Technical) Akoka, Lagos and Federal College of Education, Osiele, Abeokuta. The combination of stratified, quota and simple random sampling was used to select 100 final year students each from five schools (Languages, Science, Arts and Social Sciences, Education, and Vocational and Technical Education). Instruments used were: Student Teacher Anxiety Scale (r=0.82) and Student‟s Teaching Practice Assessment Rating (r=0.75). Three research questions were answered and three hypotheses tested at 0.05 level of significance. Descriptive statistics, Pearson product moment correlation and multiple regression were used for data analyses. Teaching practice anxiety had a significant correlation with student teachers‟ performance in teaching practice in Federal Colleges of Education (F(10, 1405)=295.2) and accounted for 17.4% of the variance of teaching practice performance. The sources of anxiety, namely, other student-teachers (β=.603), lesson presentation (β=0.314), class management (β=.277), relating to students (β=.252), teaching confidence (β=.194), content mastery (β=.186) and lesson preparation (β=.107) had significant relative contributions to teaching practice performance, while supervision, teaching as a career choice and fear of being observed did not. Also, anxiety had significant relationship with the indices of teaching practice performance as follows: lesson plan (r = -.105); lesson presentation (r = -.685); communication skills (r = -.214); evaluation skills (r= -.202); class management (r = .153). However, student teacher‟s anxiety during TP has no significant relationship with teachers personality (r = -0.037). Anxiety by student teachers during the teaching practice influenced student-teachers‟ performance in teaching practice in Federal Colleges of Education in South-West. Thus, there is the need for adequate preparation for the students through exposure to micro-teaching and proper orientation on rules and regulations to reduce anxiety and improve performance. Keywords: Teaching practice anxiety, Teaching practice performance, Federal Colleges of Education in South-West Nigeria Word count: 415 1 results 1
- Teaching practice anxiety 1 results 1
- Teaching practice performance, 1 results 1
- Term similarity 1 results 1
- Terms Similarity (TS) in retrieval systems are based on lexical matching, which determines if query terms are useful and reflect the users’ information need in related domains. Existing works on TS use Term Frequency-Inverse Document Frequency (TF-IDF) to determine the occurrence of terms in web documents (snippets) is incapable of capturing the problem of semantic language mismatch. This study was designed to develop a conceptual knowledge model to solve the problem of TS in web documents retrieval by amplifying structured semantic network in Multiple Document Sources (MDSs) to reduce mismatch in retrieval results. Four hundred and forty-two IS-A hierarchy concepts were extracted from Internet using a web ontology language. These hierarchies were structured in MDSs to determine similarities. The concepts were used to formulate queries with the addition of terms from knowledge domain. Suffix Tree Clustering (STC) was adapted to cluster, structure the web and reduce dimensionality of features. The IS-A hierarchy concept on parent and child relationship was incorporated into the STC to select the best cluster, consisting of 100 snippets, four web page counts and WordNet as MDSs. Similarity was estimated on Cosine, Euclidean and Radial Basis Function (RBF) on the TF-IDF. Based on STC, TF-IDF was modified to develop Concept Weighting (CW) estimation on snippets and web page count. Similarity was estimated between TF-IDF and developed Concept Weighting; Cosine and CW-Cosine, Euclidean and CW-Euclidean and RBF and CW-RBF. Semantic network (WordNetSimilarity) LIn’ measure was extended with PAth length of the taxonomy concept to develop LIPA. The LIPA was compared with other WordNetSimilarity distance measures: Jiang and Conrath (JCN) and Wu and Palmer (WUP) as well as LIn and PAth length separately. Concept Weighting and WordNetSimilarity scores were combined using machine learning techniques to leverage a robust semantic similarity score and accuracy measure using Mean Absolute Error (MAE). The RBF and CW-RBF generated inconsistent values (0.9 for null and zero snippets. Similarity estimation obtained on Cosine, Euclidean, CW-Cosine and CW-Euclidean were 0.881, 0.446, 0.950 and 0.964, respectively. The retrieved snippets removed irrelevant features and enhanced precisions. WordNetSimilarity JCN, WUP, LIn, PAth, and LIPA values were 0.868, 0.953, 0.995, 0.955 and 0.998, respectively. The WordNetSimilarity improved the semantic similarity of concepts. The Concept Weighting and WordNetSimilarity; CW-Cosine, CW-Euclidean, JCN, WUP, LIn, PAth, and LIPA were combined to generate similarity coefficient scores 0.941, 0.944, 0.661, 0.928, 0.996, 0.924 and 0.998, respectively. The MAE on Cosine, Euclidean, CW-Cosine and CW Euclidean were 0.058, 0.011, 0.014 and 0.009, respectively while for JCN, WUP, LIn, PAth, and LIPA were 0.022, 0.004, 0.022, 0.019 and 0.020, respectively. The accuracy of the combined similarity for JCN, WUP, LIn, PAth, CW-Cosine, CW-Euclidean and LIPA were 0.023, 0.050, 0.008, 0.011, 0.024, 0.015 and 0.009, respectively. The developed conceptual knowledge model improved retrieval of web documents with structured multiple document sources. This improved precision of information retrieval system and solved the problem of semantic language mismatch with robust similarity between the terms. 1 results 1
- Web ontology language 1 results 1
- WordNetSimilarity 1 results 1
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