article · Interactive Learning Environments
Integrating data analytics techniques into a learning management system can enhance student performance in specialised creative disciplines and encourage digital platform adoption. An investigation involving Home Economics students divided into two experimental groups examined the effect of analytics-driven learning tools using an extended Technology Acceptance Model and a product evaluation card. The findings demonstrate that data analytics directly improved students' fashion design abilities across functional, aesthetic, and creative dimensions. Additionally, the analytics techniques substantially increased the perceived usefulness and perceived ease of use of the platform. These factors subsequently produced an indirect positive influence on the students' overall attitudes and their behavioural intention to continue using the learning management system.
Demonstrating that data analytics can enhance practical and creative abilities shows how online education platforms can expand beyond traditional academic subjects. For institutions and educators, proving that analytical features also increase user adoption and platform satisfaction provides a clear rationale for incorporating automated tracking and data-driven feedback into digital teaching environments.
This work is relevant to educational technology companies and higher education providers seeking to augment learning management systems with analytics for vocational and design training. The technique appears applied and tested within an experimental academic setting. Progressing to market would require packaging the analytics tools into deployable software plugins or native learning platform features.
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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.
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DOI: 10.1080/10494820.2021.1943688
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