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MEIBL, at Abilene Christian University, is a blended learning strategy which creates an active and engaging learning environment.

"Time saved on information transfer through MEIBL strategies enable faculty to mentor learners to engage course content at a deeper level. This project will scale MEIBL to demonstrate effectiveness in STEM programs with diverse and underrepresented student populations. "

"Technology marketers face the ongoing challenge of how to align content touches with their customers' preferences for information sources. Social media heightens this challenge because poorly aligned content can go negatively viral. While technology marketers seek more effective tactics to meet their customers' needs, their customers seek more useful business-to-business (B2B) social media channels that provide them with information that has real value during their decision-making process. One powerful way technology marketers can close this gap is by optimizing social media tactics for each stage in the buyers' technology adoption cycle. These technology adoption patterns lead to safe bets that B2B technology marketers can take for engagement, as long as they follow a customer-driven approach."

Focus Session: Open Educational Content: Addressing Challenges and Seizing Opportunities.

Resources may include ideas on how to engage faculty in new initiatives.

From Wikipedia, essentially "Diffusion of Innovations is a theory of how, why, and at what rate new ideas and technology spread through cultures." Theory was popularized this theory in his 1962 book "Diffusion of Innovations"

Mentioned in Engaging Faculty thread in Jam as theory that claims to predict who would be willing to adopt a technology.

(PDF) Shea, P. (2007). Bridges and barriers to teaching online college courses: A study of experienced online faculty at 36 colleges. Journal of Asynchronous Learning Networks, 11(2), 73-128. From abstract, "This paper reports on initial findings from a research study of factors that enable and constrain faculty participation in online teaching and learning environments."

Citation provided in Engaging Faculty thread in Jam.

Author posted in Jam sections from his article to highlight some significant differences that might shape adoption of innovation among faculty: Gender - Two differences were identified with regards to gender. First, female respondents were more likely to report that they were motivated to teach online because online teaching accommodated other life needs (such as child care, transportation, and other family needs). Additionally females identified reduced commuting time or hassle as a motivator more frequently than their male counterparts (Tables 3 and 4). Age - With regards to age, more "mature" faculty (those 45 or over) were more motivated by opportunities to experiment with new pedagogy then were younger faculty (Table 5). Younger faculty were more motivated (perhaps unrealistically) by opportunities to demonstrate competencies important for tenure or promotion that they believed online teaching provided (Table 6). Younger faculty also reported being motivated by other material incentives that might be available for online teaching (Table 7) and were more likely to report that online teaching might be a condition of employment as a motivating factor (Table 8). Full-Time/Traditional versus Part-Time/Non Traditional. - Motivational differences were also identified by the employment status of the faculty. Part-time/Non-Traditional faculty (lecturers,instructors, and adjuncts) were over represented as a group that identified the capacity of online teaching to accommodate other life needs as a motivator for online teaching, while Full-time/Traditional faculty (assistant, associate, and full professors) were under represented in this category (Table 9). Part-time faculty were also somewhat more motivated by the possibility that online teaching could provide more free time for other professional activities and reduce commuting time or hassle (Tables 10 and 11). Parttime instructors were also more motivated by the opportunity to teach a new subject area and b

The Concerns-Based Adoption Model (CBAM): A Model for Change in Individuals. on The National Academies site, reprinted with permission from the chapter entitled "Professional Development for Science Education: A Critical and Immediate Challenge," by Susan Loucks-Horsley. "The model (and other developmental modesl of its type) holds that people considering and experiencing change evolve in the kinds of questions they ask and in their use of whatever the change is..."

Mentioned in Engaging Faculty thread in Jam as theory that claims to predict who would be willing to adopt a technology.