Internet Learning Volume 3, Number 1, Spring 2014 | Page 7

Internet Learning Further adding to the unique dynamic of this relationship is the idea that everyone, innately, is a teacher. In a recent webinar, well-known instructional design scholar M. David Merrill recounts a story in which he silently and patiently listened to his brother-in-law, a nuclear physicist, describe advanced and complicated mathematical derivations related to particle physics. Afterward, when Merrill began discussing his own work related to instructional design theory, his brother-in-law interrupted him and argued his points, feeling qualified to do so since “everyone is a teacher” (Merrill, 2013). The point is valid: parents and family members instinctively teach children basic skills and manners; friends may naturally teach other friends hobbies and games. Teaching and learning are part of the human experience. A natural extension of this is the idea that faculty members may feel completely prepared to teach subjects in which they are experts or scholars. As a result, these instructor-experts may come to the drawing board early in the e-learning design process with learning objectives prepared, and, oftentimes, these learning objectives are not measureable, student-centered, realistic, or aligned with the planned assessment strategy. The responsibility then falls on the instructional designer to not only explain the importance of properly written learning objectives, but also to guide and support the instructor-expert through the process of composing appropriate learning objectives. Learning Objectives and the Quality Matters Program The Quality Matters Program is an organization dedicated to the promotion of quality assurance in online courses in the higher education and K–12 arenas through an iterative, faculty-centered peer review process. Quality Matters (QM) also emphasizes inter-institutional collaboration, faculty training, and implementation of research-based best practices in online course design. Courses that undergo the QM review process are evaluated based on a detailed rubric with standards for the course’s learning objectives, assessment strategy, instructional materials, learner engagement, use of technology, learner support, and accessibility. In a session at the Quality Matters’ 5th Annual Conference on Quality Assurance in Online Learning, an audience of approximately ninety – mostly instructional designers – were asked to submit to a live poll via text message (see Figure 1 below); the prompt was “Working with faculty to compose learning objectives can often be…,” and responses were enlightening. Typical replies included “frustrating,” “maddening,” “an uphill battle,” “a challenge,” and even “painful” (Acevedo, 2013). Clearly, working with faculty to compose objectives represents a challenge for instructional designers, faculty leaders, faculty trainers, and others who work with instructor-experts in higher education environments. In this article, I will provide a framework, based on common scenarios, for collaborating with faculty members during the process of either composing new, or rewriting ineffective learning objectives. Additionally, I will include discussion as to how this process relates to the QM review process, since learning objec- 6