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Diagnosing Adoption to Mobile Learning

机译:诊断到移动学习

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This study was undertaken to address the need to modernize the modes of teaching and learning pedagogy by taking advantage of the proliferation of electronic gadgets and mobile devices since, as counted there are more computers than the people in the world (Boren, 2014). This research found out how learning in the new platform could be adopted by teachers and students. In addition, it tested the different variables involved in the use of mobile in learning by faculty and students of Centro Escolar University (CEU) to determine factors that made implementing technology a success or a failure. To attain the set objectives, this study made use of descriptive and inferential method to the data gathered from respondents via stratified random sampling. Specifically, it employed frequency, mean, standard deviation, t-test, analysis of variance and multiple linear regressions for the treatment of data derived from the survey questionnaires. To complete the triangulation approach and for consistency of findings, observation and interview were also conducted. Subsequently, in order to determine adoption to mobile learning the modified Unified Theory of Acceptance and Use of Technology (UTAUT) model was employed. This model shows relationship of moderating variables which are age, gender, voluntariness of use and experience from independent variables like performance expectancy, effort expectancy, social influence, facilitating conditions, anxiety and self-efficacy.? After all the statistical treatments were applied, Anxiety, Self-Efficacy, Effort Expectancy, Performance Expectancy and Facilitating Condition contribute to the success of the introduction of technology to the organization, while social influence was excluded as the reasons why users adopt it.
机译:本研究旨在通过利用电子产品小工具和移动设备的扩散来解决教学和学习教学模式的必要性,因为计算出多于世界上的人员(Boren,2014)。这项研究发现,教师和学生可以采用新平台的学习。此外,它测试了由Centro Escolar大学(CEU)的教师和学生使用移动式学习的不同变量,以确定实施技术成功或失败的因素。为了实现设定目标,本研究利用通过分层随机抽样从受访者收集的数据的描述性和推理方法。具体而言,它采用频率,平均值,标准偏差,T检验,方差分析和用于治疗调查问卷的数据的多元线性回归。为了完成三角测量方法和结果的一致性,也进行了观察和面试。随后,为了确定通过移动学习的采用,采用改进的统一接受和使用技术(UTAUT)模型。该模型显示了适度变量的关系,这些变量是年龄,性别,使用自愿和自独立变量的经验,如性能预期,努力期望,社会影响,促进条件,焦虑和自我效能。?毕竟统计治疗被应用,焦虑,自我效力,努力预期,绩效预期和促进条件有助于将技术引入本组织的成功,而社会影响被排除为用户采用的原因。

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