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Distance Education Quality Evaluation Method of Construction


21/21/41/5110.68770.0951Σ7.2297 ∞ a ∞ f / Σ ∞ f, a 1,2,3,4,5,6; f = 1 so that we come to an index (L plant a 1,2,3,4,5,6) is a weight vector A (∞ 1., ∞ 2., ∞ 3., ∞ 4., ∞ 5., ∞ 6.) I (0.0627, 0.1543,0.2274,0.3701,0.0904,0.0951) 4.1.3 Consistency check of the first calculation level indicators to determine the largest eigenvalue matrix, then the consistency test, as follows: ... a (1 / 6) Σ ((A * ∞.) / ∞.) for the eigenvalue, a 1,2,3,[link widoczny dla zalogowanych],4,5,6; C. J. A (a m) / (m A 1) (m A 6) for the compatibility index. , 1rm 6 A + look-up table shows R.J. a 1.2494C.R. a C.I.7R.I. a 0.0857/1.2494-0.0686 <0.1 that is consistent comparison matrix A passed the test. C.R. a 0.0686 in this case, we can see that the matrix has satisfactory consistency, the previously obtained weights are acceptable. Similarly rectifiable two weights, the results shown in Table 1.4 .2 reliability and validity using CronbachAlpha law and Convergent methods were calculated distance Higher Education Quality Evaluation of the reliability coefficients and validity coefficients, the results shown in Table 4. The total reliability coefficients were greater than 0.80, indicating that the Scale is a reliable and trustworthy, with a re-test of the. r greater than 0.8, indicating that the test correctly and effectively measure the quality of distance education. In summary, after the reliability, validity, etc. comprehensive analysis of the data, we believe that the establishment of six modules, namely, the quality of training objectives and specifications, and system reliability indices in Table 4 test results to ensure policy, teachers, management, teaching resource management, management of teaching process, facilities and management services, learning centers set up and Management and Evaluation of Teaching at all levels of indicators are closely related to work properly and effectively evaluate the current semester teaching quality .4.3 Distance Education Evaluation Distance semester in order to obtain the details of teaching quality, the Table 1 secondary target made of pages on the website, as the evaluation form at end of this semester, please participate in distance education students and teachers in online scoring. lasted two months, a total of 137 valid questionnaires were received, calculated for each two indicators as the indicators of the average score of the final score. Through the above analysis calculated the index weight at all levels, using the formula (3.1) can be drawn from the overall school scores: Y a 0.0627 × 7.66 +0 .1543 × 7.18 +0.2274 × 7.46 +0.3701 × 7.098 +0.0904 × 6.476 +0.0951 × 7.65-7.224 by mutatis mutandis, the results under the 7 to 8, it can be drawn from September 2005 to January 2006 the school this semester, the quality of distance education as Matrix A L plant to design, calculate weights, to examine the data to be in-depth analysis and comprehensive evaluation, making the entire evaluation method is more scientific and reasonable, easy to operate, evaluation results can be clearly drawn. Distance Higher Education Quality Evaluation There are many ways, how reasonable, clever use of statistical and mathematical methods, derived effective, convenient and flexible, practical approach, we should be further explored and confirmed.