Using a Two-Stage System Evaluation Approach to Explore the New Adoption of an Information System in the Mobile Era

Abstract

Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school administrators to conduct upgrades of e-learning systems that take into consideration students' current usage conditions, this study proposed a two-stage system evaluation approach to explore the adoption of new systems. We collected 352 samples in Stage I. The goal of this Stage I was to propose a research model to understand the usage intentions of college students toward campus e-learning systems and also the factors which showed significant differences between PC and smartphone usage. A total of 30 trained students participated in Stage II. The goal of Stage II was to propose a system performance evaluation method to evaluate the performance of the new and existing systems according to the concerned factors of smartphone users after actual system use. Finally, based on our research model and system performance evaluation method, we put forward conclusions and suggestions that schools could use as references for future system procurements and updates.

Correction and retraction practices in library and information science journals

“…Jamshidi et al (2018) cited the retracted article under the Limitations and Future Research section. Lastly, Chen and Liu (2017) cited the retracted article in the Literature Review section and adapted the study’s questionnaire. It was observed that all these articles cited Mohammadi (2015) without acknowledging its retraction, despite the article having been retracted since 2015.…”

Humanizing Technology: Smartphone usage in the learning environment

“…Besides communication, smartphones in mobile learning can also function as a video recorder to record lectures (Razzaq et al (2018). The original TAM model, the behavioral intention, was affected by two perceived factors, namely, perceived ease of use and perceived usefulness, and the former also significantly affected the latter (Chen & Liu, 2017). The scholars revealed that the study replaced the original perceived variables in the TAM with perceived system use, mainly to evaluate the overall perception of e-learning system usage.…”

Research Trends and Features of Critical Thinking Studies in E-Learning Environments: A Review

“…The technology infrastructure improvement in schools has increased exponentially in the past few decades. Teachers around the globe are facing challenges in providing effective teaching methods for the digital native generation (Chen & Liu, 2017; Lim, Zhao, Tondeur, Chai, & Tsai, 2013). In the 21st century, when individuals’ learning autonomy is crucial, CT has become one of the important competences (Ghanizadeh, 2017; Hwang & Chen, 2017; Kereluik, Mishra, Fahnoe, & Terry, 2013; Scott, 2015; Yang, Chuang, Li, & Tseng, 2013).…”