Each year, the New Media Consortium and the Educause Learning Initiative work together to generate the Horizon Report, a projection of technology trends, challenges, and emerging technologies. A distinguished panel of experts, from 17 countries and 6 continents, was involved in the generation of the 2015 report. Once the panel identified topics for each section, a modified Delphi process was used, with an extensive literature review. (To examine the iterations that occurred throughout the process, see the wiki at http://horizon.wiki.nmc.org.) Each section of the final report focuses on how trends, challenges, and emerging technologies will inform and impact practice, leadership, and policy. TRENDS The 2015 report (Johnson, Adams Becker, Estrada, & Freeman, 2015) provides six key trends that are projected to accelerate the adoption of technologies within higher education. In three time periods, they are: * Short-term (1-2 years): increased use of blended learning and the redesign of learning spaces. * Mid-term (3-4 years): growing focus on measurement of learning and proliferation of open educational resources. * Long-term: advancing cultures of change and innovation and greater cross-institutional collaboration. Short-Term The increased use of blended learning is driven by the shift in student and educator perceptions of the value of online learning. The National Center for Education Statistics Distance Education (US Department of Education, 2014) noted that, according to 2012 data, 1 in 10 students were enrolled exclusively in online courses. In contrast, 2013 data revealed that 1 in 8 students took all their courses online (Poulin & Straut, 2015). Allen and Seaman (2015) reported that 7.1 million students in the United States are engaged in online learning. A growing body of research supports the efficacy and effectiveness of online learning and the benefits of blending learning. The redesign of learning spaces to accommodate the growing use of technologies is not a new concept. In 2006, I wrote an article on "think spots" that highlighted the need to break out of the mold of traditional classrooms (Skiba, 2006). Now, with the emergence of mobile and smart technologies as well as an emphasis on active and collaborative learning strategies, there is renewed interest in creating new learning spaces for the transformation of higher education. Two resources that may be helpful to find best practices in active learning design are FLEXspace (https://flexspaceannouncements.wordpress. com) and Learning Space Collaboratory (www.pkallsc.org). Mid-Term Data science, learning analytics, and big data are all driving forces behind the measurement of learning. As in business and health care, the harvesting of data to predict, market, and manage are standard operating procedures. The goals, according the report (Johnson et al., 2015, p. 12), are "to build better pedagogies, empower students to take an active part in their learning, target at-risk student populations, and assess factors affecting completion and student success." The report states that for learners, educators, and researchers, "learning analytics [are] already starting to provide crucial insights into student progress and interaction with online texts, courseware, and learning environments used to deliver instruction." We now see examples of how students use dashboards to improve their learning. Administrators also use them, to direct strategic planning, and educators use them, to manage advisees and analyze the impact of their teaching on learning. It was noted that the measurement of learning has the greatest impact on policy. Long-Term The idea that innovations in education can scale better when shared across institutions is the basis for the long-term trend of cross-institutional collaboration. Universities are aligning with others to share resources for teaching, research, and technology infrastructure. …
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