Academic leaders play crucial roles in the context of ensuring inclusion and engagement for online adjunct faculty. This is an increasingly important issue, as research has shown that engaged employees are more loyal to their workplaces, thus minimizing turnover. However, academic leaders may confront various challenges when attempting to provide sufficient support for faculty members. As such, this study implemented a descriptive phenomenological approach involving deep machine learning to investigate both inclusion and engagement based on the perspectives of 15 academic leaders. Results showed that 28% of these participants used the leadership strategy of empowerment to include and engage online adjunct faculty. This study contributes to the current literature through its successful use of a deep machine learning model to derive important perspectives and opinions related to online performance improvement, thus constituting a new and innovative approach to academic leadership research. These findings may produce positive social change by reducing turnover and increasing job satisfaction for online adjunct faculty working in higher education. Finally, the collected data provide relevant information on how empowerment strategies can increase the overall sense of inclusion and engagement for online adjunct faculty members.

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