排序方式： 共有105条查询结果，搜索用时 15 毫秒
101.
为了促进高等教育的变革和可持续发展,2020年3月,美国高等教育信息化专业组织(EDUCAUSE)发布了《2020年地平线报告:教与学版》。报告从社会、技术、经济、高等教育本身以及政治五个方面,阐述了当前及未来影响全球高等教育教学发展的十五个重要趋势;对自适应学习技术、人工智能/机器学习、学生成功分析、教学设计、学习工程和用户体验设计的提升、开放教育资源、扩展现实这六项对高等教育未来会产生重大影响的新兴技术和实践,进行了详细的介绍;预测了高等教育、教学四种可能的未来走向与情景,并描述了九位专家对报告中的主要发现所进行的反思。通过对报告的核心内容进行分析和解读,可以为我国高等教育的改革和发展,尤其是当前疫情防控特殊情况下基于网络的教与学以及技术的有效利用等,提供若干启示与借鉴。 相似文献
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文章采用半结构化访谈法,遵循质性分析方法的步骤,借助NVivo11软件对数据进行编码和分析,归纳大学生在线健康信息采纳行为的主要影响因素并构建理论模型,为网络健康信息平台面向大学生群体的资源优化配置提供理论参考。 相似文献
103.
For over a decade, researchers have devoted much effort to construct theoretical models, such as the Technology Acceptance Model (TAM) and the Expectation Confirmation Model (ECM) for explaining and predicting user behavior in IS acceptance and continuance. Another model, the Cognitive Model (COG), was proposed for continuance behavior; it combines some of the variables used in both TAM and ECM. This study applied the technique of structured equation modeling with multiple group analysis to compare the TAM, ECM, and COG models. Results indicate that TAM, ECM, and COG have quite different assumptions about the underlying constructs that dictate user behavior and thus have different explanatory powers. The six constructs in the three models were synthesized to propose a new Technology Continuance Theory (TCT). A major contribution of TCT is that it combines two central constructs: attitude and satisfaction into one continuance model, and has applicability for users at different stages of the adoption life cycle, i.e., initial, short-term and long-term users. The TCT represents a substantial improvement over the TAM, ECM and COG models in terms of both breadth of applicability and explanatory power. 相似文献
104.
In the modern business era, mobile commerce (m-commerce) is changing the way the business is conducted using the Internet. However, the prominence of m-commerce among small and medium-sized enterprises (SMEs) in the UK is minimal. The purpose of this study is to evaluate the existing literature and to extend the research surrounding the barriers that prevent the adoption of m-commerce amongst SMEs. The study uses an Interpretive Structural Modelling (ISM) and MICMAC approach for guiding and helping managers of SMEs. Data was collected from an expert participant group each of whom had extensive knowledge of m-commerce. The findings represent the unstable nature of variables in the context of their impact on each other, their relationships, and themselves. The listed factors in the proposed framework and the interrelationships between them highlight the multi-dimensional element of m-commerce adoption prevention. This observation proves criticality of analysing data as a collective entity rather than viewing the barriers in isolation. The findings also indicated ‘perceived risk’ being a key barrier that demonstrates how personal opinions of the concept of adoption can have a great significance on the outcome and whether other variables will come into effect. 相似文献
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