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M-Readiness Assessment Model Development and Validation: Investigation of Readiness Index and Factors Affecting Readiness

机译:M准备状态评估模型的开发和验证:准备状态指数和影响准备状态的因素的调查

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It is important for distance learning institutions to be well prepared before designing and implementing any new technology based learning system to justify the investment and minimize failure risk. It can be achieved by systematically assessing the readiness of all stakeholders. This paper first proposes an m-readiness assessment process and subsequently describes different activities required to develop a m-readiness assessment model. The model was validated and applied to measure m-readiness index of Allama Iqbal Open University (AIOU), Pakistan. Primary data (N=612) were collected. Factor analysis was applied. Extracted factors were confirmed with confirmatory factor analysis. Based on the extracted factors, m-readiness index was calculated. Furthermore, m-readiness index association with age, gender, program of study, income, locality and province were also analyzed by applying one way ANOVA and Kruskal Wallis. The results reveal that there is a significant difference in m-readiness with respect to income, locality, age, gender, program of study and province.
机译:对于远程学习机构来说,在设计和实施任何基于新技术的学习系统之前,要做好充分准备,以证明投资合理并最大程度地降低失败风险,这一点很重要。可以通过系统地评估所有利益相关者的准备情况来实现。本文首先提出了m就绪性评估过程,然后描述了开发m就绪性评估模型所需的不同活动。该模型经过验证,可用于测量巴基斯坦阿拉马·伊克巴尔公开大学(AIOU)的m-就绪指数。收集了主要数据(N = 612)。应用因子分析。提取的因子通过验证性因子分析进行确认。基于提取的因素,计算m准备指数。此外,还通过应用方差分析和Kruskal Wallis的一种方法来分析与年龄,性别,学习计划,收入,地区和省份的移动准备就绪指数关联。结果表明,就收入,地区,年龄,性别,学习计划和省份而言,移动就绪程度存在显着差异。

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