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The 2013 Horizon Report describes learning analytics as the "Field associated with deciphering trends and patterns from educational big data, or huge sets of student-related data, to further the advancement of a personalized, supportive system of higher education." Below are articles, presentations and seminars that further discuss the growing use of learning analytics in higher education and the benefit students gain from it.
- Improving Student Graduation Rates Using Data Insights and Predictive Modeling December 16, 2014, EDUCAUSE Live!. As part of an overall plan to improve student graduation rates, Harper College and Dell developed a student retention model that quickly identifies at-risk students and delivers the information to key stakeholders, allowing early intervention to increase student success.
- IPAS Implementation Handbook, October 13, 2014. While the use of analytics to promote student success is gaining in popularity, basic questions about what IPAS is and the issues institutions face during implementation and integration. The IPAS Implementation Handbook catalogs the experiences, observations, and practical advice from 19 institutions engaged in IPAS implementation projects.
- Septris and SICKO: Implementing and Using Learning Analytics and Gamification in Medical Education, EDUCAUSE Learning Initiative, March 2014. To investigate and capitalize on the growth of gaming and learning analytics and apply it to education, Stanford School of Medicine developed two educational games. Septris and its successor, SICKO (Surgical Improvement of Clinical Knowledge Ops), are web-based educational games developed by a cross-disciplinary team of doctors, web developers, and instructional technologists.
- Blazing Trails: Launching the First Online Degree Completion Program at the University of Washington, EDUCAUSE Review Online, January 2014.
- Building Blocks for College Completion: Learning Analytics, September 19, 2013. Based on the experiences of the six NGLC grant recipients, this report discusses suggestions for future development and adoption of learning analytics.
- Building Organizational Capacity for Analytics, EDUCAUSE Paper, February 2013. This report discusses how leading institutions in higher education and vendors are building capacity in analytics to improve student success.
- Leadership and Learning Analytics, ELI Brief, November 2012. This brief highlights some of the primary issues and processes for leading an organization in the deployment and use of learning analytics, and it raises broad, conceptual questions about how best to use learning analytics to develop and strengthen learning skills among undergraduates.
- Using Predictive Analytics to Improve Student Success, EDUCAUSE Annual Conference, November 2012. This session highlights a course recommendation system that successfully pairs current students with the courses that best fit their talents and program of study for upcoming semesters.
- When Learning Analytics Meet Big Data: The PAR Framework. EDUCAUSE Annaul Conference, November 2012. This session offers a panel presentation and discussion of results from the PAR Framework proof-of-concept phase of development, featuring the unique perspectives of PAR Framework Founding Partners.
- Learning Analytics: Moving from Concept to Practice, July 2012. This ELI Brief describes the evolution of learning analytics (LA) over the past year. Including ways in which LA differs from other kinds of analytics; different kinds of indicators and their relative predictive value; visualizations of the findings from and LA program; and the kinds of interventions that might be included in an effective analytics initiative.
- The entire issue of EDUCAUSE Review Online, July/August 2012 is devoted to the topic of analytics in higher education. Subjects explored include how the use of analytics can help address higher education accountability, affordability, productivity, and student success.
- Learning Analytics: A Report on the ELI Focus Session, May 2012. This white paper is a synthesis of the key ideas, themes, and concepts that emerged from those sessions. This white paper also includes links to supporting focus session materials, recordings, and resources. It represents a harvesting of the key elements that we, as a teaching and learning community, need to keep in mind as we work to explore how LA can be helpful for instructors (regarding learning activities and course design), for students (regarding progress), and for administrators (regarding course and degree completion data).
- The State of Learning Analytics in 2012: A Review and Future Challenges, The Open University, March 2012. Author Rebecca Ferguson from the Open University's Knowledge Media Institute, provides a detailed look at the history of Learning Analytics research and what the future may hold.
- Leaping the Chasm: Moving from Buzzwords to Implementation of Learning Analytics, EDUCAUSE Live!, February 2012. This session explores the roots of learning analytics as well as the context in which they are now being considered in higher education.
- Learning Analytics: What Could You Do With Five Orders of Magnitude More Data About Learning?, O'Reilly Strata Conference 2012. This video of Steve Schoettler of Junyo, discusses how the use of data mining tools could be used to develop a better understanding of how students learn and how schools can use that to advance student success.
Library Items on this Topic
EDUCAUSE Library Items for Learning Analytics
- 7 Things You Should Read About Innovative Approaches to Instructional Design
March 25, 2015
Higher education is experiencing unprecedented change, and new models and tools call for innovations in instructional design and assessment. The resources included explore a wide range of con…
- How Students Engage with a Remedial English Writing MOOC: A Case Study in Learning Analytics with Big Data
March 23, 2015
Insufficient academic preparation is a major barrier to student success in higher education in the United States, and a large percentage of students who require remedial education become …
- 7 Things You Should Know About Visual Literacy
March 9, 2015
Visual literacy is the ability to recognize and critically appreciate meaning in visual content and to use visual elements to create effective communication. Visualizations often provide better w…
- 7 Things You Should Read About Instructional Strategies for Active Learning
February 26, 2015
For many instructors, active learning represents a departure from traditional teaching, requiring new roles, tools, and strategies to be successful. Examples of active learning are expanding, and…
- 2015 Horizon Report
February 11, 2015
Produced by ELI and NMC each year, the Horizon Report describes six areas of emerging technology that will have significant impact on higher education and creative expression over the next one to…
- 7 Things You Should Know About the 2015 ELI Content Anchors
February 6, 2015
Each year, ELI conducts a survey to identify the technologies and developments that the teaching and learning community finds most important for higher education. Those content anchors reflect th…
- Assessing the Impact and Efficacy of the Open-Access ChemWiki Textbook Project
January 27, 2015
Rapidly rising costs, including the cost of textbooks, impede access to higher education for many students, particularly among underserved and at-risk populations. The STEMWiki Hyperlibrary w…
- Probing the Inverted Classroom: A Study of Teaching and Learning Outcomes in Engineering and Mathematics
January 16, 2015
Flipped classrooms have started to become commonplace on university campuses. Despite the growing number of flipped courses, however, quantitative information on their effectiveness remains…
- 7 Things You Should Read About Faculty Digital Fluencies and Frameworks
January 2, 2015
Digital fluency, as described in the 2014 NMC Horizon Report , refers to the ability to appropriately use technology tools to produce teaching materials, solve instructional problems, and tran…
- 7 Things You Should Know About VR Headsets
December 5, 2014
Virtual reality (VR) uses visual, auditory, and sometimes other sensory inputs to create an immersive, computer-generated environment . VR headsets fully cover users’ eyes and often ears…