ABSTRACT

Data analytics technique in education provides unparalleled opportunities in the era of e-learning platforms to support students. In this context, learning management system (LMS) as a platform allows recording the learner's activity recorded in order to explore data unique types coming from the academic context in order to improve the learning experience. Therefore, this research aims to reveal the impact of using data analytics technique in LMS to develop the fashion design skills and technology acceptance. The research was applied to students at Home Economics Department who were randomly divided into two equal experimental groups. An extended Technology Acceptance Model (TAM) and a developed product evaluation card were utilized as main research instruments. The empirical findings showed that data analytics technique in LMS had significant and positive influence on the enhancement of students' fashion design skills in the functional, esthetic and creative aspects. Findings also revealed robust supporting evidence for the suggested research model as data analytics technique had a major positive direct impact on the perceived usefulness and perceived ease of use of LMS. In addition, it had positive indirect impact on students' attitude and their behavioral intention to use LMS, that mediated by perceived usefulness of LMS.

摘要

教育中的数据分析技术为电子学习平台时代提供了无与伦比的机会来支持学生。在此背景下，学习管理系统（LMS）作为一个平台，允许记录学习者的活动，以便探索来自学术背景的独特类型的数据，从而改善学习体验。因此，本研究旨在揭示在 LMS 中使用数据分析技术对培养时装设计技能和技术接受度的影响。该研究应用于家政系的学生，他们被随机分为两个相等的实验组。扩展的技术验收模型（TAM）和开发的产品评估卡被用作主要研究工具。实证结果表明，LMS中的数据分析技术对学生时装设计技能在功能、美学和创意方面的提升具有显着和积极的影响。研究结果还为所建议的研究模型提供了强有力的支持证据，因为数据分析技术对 LMS 的感知有用性和感知易用性具有重大的积极直接影响。此外，它对学生使用 LMS 的态度和行为意图产生积极的间接影响，这是由 LMS 的感知有用性介导的。研究结果还为所建议的研究模型提供了强有力的支持证据，因为数据分析技术对 LMS 的感知有用性和感知易用性具有重大的积极直接影响。此外，它对学生使用 LMS 的态度和行为意图产生积极的间接影响，这是由 LMS 的感知有用性介导的。研究结果还为所建议的研究模型提供了强有力的支持证据，因为数据分析技术对 LMS 的感知有用性和感知易用性具有重大的积极直接影响。此外，它对学生使用 LMS 的态度和行为意图产生积极的间接影响，这是由 LMS 的感知有用性介导的。