Canvas项目在学生成就中的作用:技术接受和学术抵抗模型(以纳克索兹大学为例)

D. Ilyassov
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引用次数: 0

摘要

该研究的目的是探讨技术接受(TAM)和学术阻力(ARM)模型如何在纳尔索兹大学的Moodle和Canvas采用中发挥作用。本研究的方法论基础是对9位教师的访谈。访谈的重点是教师对Moodle和Canvas平台的使用感受和体验。本研究假设TAM和ARM应用于Canvas的使用。这些问题旨在探讨TAM和ARM如何解释教师在Moodle和Canvas平台上的实践。然后将通过访谈收集的数据提交给Atlasti。通过主题分析确定对使用画布的任何兴趣。研究的原创性/价值。易于使用的TAM不适用于Canvas。本研究对现有文献的贡献是,没有输出TAM和ARM如何与纳尔索兹大学的Canvas平台相关。总体而言,大多数教师对Canvas的质量感到满意,并提出以下改进建议:-教师对Canvas的使用与ARM的认知态度和情感态度不同。-课程设计结构相同。在课程设计上没有任何其他的想象。Canvas的一些功能对于教师来说显然是不清楚的。- Canvas应该帮助监控有风险的学生以获得支持。从这个角度来看,PLA(预测学习分析)系统应该监测学生的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CANVAS PROGRAM ROLE IN STUDENTS' ACHIEVEMENT: TECHNOLOGY ACCEPTANCE AND ACADEMIC RESISTANCE MODELS (ON AN EXAMPLE OF NARXOZ UNIVERSITY)
The purpose of the study is to explore how Technology Acceptance (TAM) and Academic resistance (ARM) Models are working for Moodle and Canvas adoption at Narxoz University.Methodology. The methodological basis of the study is an interview of 9 teachers. The interview focused on the teachers’ perceptions and experience of using Moodle and Canvas platform. This study hypothesized TAM and ARM application for Canvas use.The questions aimed to explore how TAM and ARM could explain the teachers’ practice in Moodle and Canvas platform. Then data collected through interviews submitted to Atlasti. Any interest in using Canvas identified by Thematic analysis.The originality / value of the research. The easy use of TAM is not properly working for Canvas. The contribution of this study to existing literature will be that no outputs of how TAM and ARM are working related to Canvas platform at Narxoz University.Findings. In overall, most teachers are satisfied with quality of Canvas with some following suggestions for improvements:- The use of Canvas by teachers related to ARM cognitive and emotional attitudes are different.- The course design has the same structure. There is no any other imagination related to course design. Some functions of Canvas are obviously unclear for teachers.- Canvas should help monitor students at risk for support. From this point of view, PLA (predictive learning analytics) system should work to monitor students’ performance.
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