
Lehman Tenure Guide
Lehman Tenure Guide is a GPT designed to provide an engaging guide on Lehman College's tenure process. It acts as an interactive tool, enabling users to explore and understand the tenure and promotion process at Lehman College.
The GPT provides a conversational interface to assist with queries around the tenure process, promotion criteria, and additional resources available for those applying for tenure.
It offers an intuitive and customizable experience, allowing users to ask specific questions about the assistant professor tenure process or applying for the Certificate of Continuous Employment (CCE).
The guide exhaustively covers different aspects of the tenure process and serves as a valuable asset for anyone seeking to comprehend Lehman College's tenure procedure.Developed by Jorge Silva-Puras, the GPT is built on the ChatGPT Plus platform, which signifies its capability to handle complex enquiries and provide in-depth and accurate responses.
It simplifies the understanding of the complex tenure process and serves both beginners, who might not be familiar with the process, and those already in the process look for detailed information.As a support tool, Lehman Tenure Guide can act as a virtual mentor, offering assistance and guidance on a topic that might be overwhelming due to its procedural complexity.
Despite its specific focus on Lehman College's tenure process, it provides a template that could be replicated for other institutions seeking to simplify their tenure procedures.The welcome message illustrates the tool's intention to guide users through the tenure process, suggesting answers to a variety of prompt starters.
This feature reflects its user-friendly approach and commitment to making academic advancement procedures more transparent and accessible. In sum, it is a unique GPT tool especially designed to offer important aspects of the tenure process in a friendly and engaging way.
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37,55128Released 23d agoFree + from $19.99/mo
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843,512637v1.6 released 17d agoFree + from $12/moReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
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