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FACT2 Learning Analytics Task Group
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LATG Task Group Charge 1.Identify a STRATEGY and course of action for further exploration and implementation of Learning Analytics across SUNY. 2.Provide OPPORTUNITIES for SUNY faculty to contribute to the debate and best practices on Learning Analytics. 3.Identify TOOLS (software) and PARTNERSHIPS (business, organizations) inside and outside of SUNY and recommend how best to leverage these. 4.Identify and share best PRACTICES and exemplary uses of Learning Analytics across SUNY. 5.Collaborate with campuses to identify existing POLICES and laws (FERPA, HIPAA, etc.) and recommend additional polices as needed to ensure the appropriate and ethical use of Learning Analytics within SUNY FACT2 Learning Analytics Task Group, CIT May 2013
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Learning Analytics - Working Definition Learning analytics uses software that collects and analyzes multiple data sets related to the process of learning to PREDICT and IMPACT student success. This includes data collected in – blended and online learning environments, – online portals, – enrollment data, – and other emergent resources connected to the teaching and learning experience. FACT2 Learning Analytics Task Group, CIT May 2013
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Working Definition con’t… Learning analytics can be used to… – diagnose student needs, – provide feedback to the student, faculty, instructional developer, and advisor, – combine with data from other learning systems to generate new insights about learning and instruction. FACT2 Learning Analytics Task Group, CIT May 2013
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WHAT WE LEARNED…. FACT2 Learning Analytics Task Group, CIT May 2013
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CAMPUS SURVEY RESULTS The Task Group conducted a survey and received a 21% response rate. Most of the schools that participated in the survey have some learning analytics processes in place, with the most common use currently is for institutional reporting.
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Survey: Institutional Level Use a) identify students at risk of leaving the college without a degree from the college [54%] b) identify students who are in need of developmental courses [46%] c) place students in appropriate credit courses [54%] d) evaluate student progress on course objectives [38%] e) predict student performance in courses [15%] f) advise students on course selection [54%] FACT2 Learning Analytics Task Group, CIT May 2013
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Advising & Course Level FACT2 Learning Analytics Task Group, CIT May 2013
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Course Outcomes FACT2 Learning Analytics Task Group, CIT May 2013
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Interventions & Feedback FACT2 Learning Analytics Task Group, CIT May 2013
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Interventions & Feedback FACT2 Learning Analytics Task Group, CIT May 2013
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Interventions & Feedback FACT2 Learning Analytics Task Group, CIT May 2013
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Interventions & Feedback FACT2 Learning Analytics Task Group, CIT May 2013
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Learning Analytics Opportunities Leverage… institutional practices and tools in place interest in using tools for interventions and student feedback – More systemic and consistent approach to placing students in appropriate courses and developmental courses. – Especially for online learning Explore further… FACT2 Learning Analytics Task Group, CIT May 2013
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LA Task Group Recommendations EXPLORATIONS & DISCUSSIONS Continue Task Group for second year DEVELOP a one day conference, speaker series. and additional webinars to educate SUNY about the options, tools, etc. EXPERIMENTATION Allocate resources to initiate Learning Analytics projects and resources for SUNY. Encourage LA experimentation using IITG process. Develop a “Faculty fellows” program (Like U Michigan) Develop “Proof of concept” projects for schools, using analytics tools, to develop simple methods for data analysis and best practices. PILOT TOOLS Develop a list of available tools for further investigation to meet institutional needs. Potentially pilot. – Align LA tool selection with current systems (i.e. Banner and DegreeWorks) Identify the commons questions that all schools are interested in: predictions of success – online and blended using LMS; predictions of attrition; – And recommend best practices, process, etc. CONSORTIUMS Identify consortiums to join.. FACT2 Learning Analytics Task Group, CIT May 2013
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