Impact of AI-Based Learning, Digital Literacy, Information Stewardship on Learning Outcomes

Abstract

Rapid technological advancement has given rise to AI-based learning which necessitates managing and protecting the information within organizations. This highlights the accountability of factors like digital literacy and information stewardship on achieving the learning outcomes. This study aims to conduct a quantitative investigation of the impact of AI-based learning, digital literacy, and information stewardship on the learning outcomes among employees in the research and development departments of information technology firms in China. Three measures were considered to reflect AI-based learning: effective learning, problem-solving, and learning exposure. The study developed a structural questionnaire for measuring the given variables using an in-depth review of past studies. The final sample comprised 255 respondents from several IT firms with research and development departments in China. The study explored the respondents by using their distribution by gender, age, working experience, and interest in information technologies. The subsequent measurement model analysis validated the questionnaire and items of the variables through reliability and discriminant validity. The results using the structural equation modeling technique confirm that artificial intelligence learning exposure and effective learning are positively connected to learning outcomes among the employees of R&D departments of IT-based firms. Moreover, information stewardship confirms that a higher level of such stewardship means higher learning outcomes among similar employees of the targeted industry. The study findings would be of great support to policymakers who are involved in information and data management and learning through AI-based models. The policy implications also provide suggestions for future studies as observed through key limitations.