Online education continues to grow exponentially, yet faculty acceptance of online teaching and learning has not. Decades of qualitative study indicate that a majority of faculty continue to regard online education as inferior to traditional classroom learning (Butler & Sellbom, 2002; Wilson & Stacey, 2004; Lloyd, et al., 2012; Ubell, 2017). The growth of online learning has spurred the development of educational technologies and innovative pedagogical approaches to foster immersive online learning experiences. As faculty venture into this new educational paradigm, whether by choice or force, their attitudes about online education are slowly becoming more positive (Jaschik & Lederman, 2019). The purpose of this study was to assess the attitudes of faculty and establish user profiles based on their innovativeness with regard to teaching with technology and online experience. These profiles were framed using Rogers' Diffusion of Innovations theory (2003) using cluster analysis. The results of this study indicate that faculty adoption-diffusion profiles are correlational to their attitudes toward online education. In addition, this study determined that online teaching experience is the strongest predictor of faculty attitudes and adoption-diffusion classifications. The results of this study suggest that institutions would benefit in analyzing their faculty innovation classifications to inform policy, technology purchasing decisions, and development offerings. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]