Learning Analytics

www.OpenColleges.edu.au Presents: LEARNING ANALYTICS 101 l. li. Leveraging Education Data When you hear "analytics," you might think of webmasters tracking visits to their site (whether it's e-commerce, a personal blog or otherwise). But learning analytics combines this sort of data analysis with student interaction in online education tools, aiming to create a more integrated and customized learning experience. It uses intelligent data, student performance and analysis models to find out how students learn and improve on their experience. Find out more about this educational revolution. What can it be used for? What can it do? Detecting performance difficulties Predict future student performance (based on past patterns of learning across diverse student bodies) Frustrated languag (i.e. in message boards) Intervene when students are struggling to provide unique feedback tailored to their answers Lower than average time spent on site Long time between logins Inattention vs. lack of understanding Personalize the learning process for each and every student, playing to their strengths and encouraging improvement Could even distinguish guessing vs. knowing multiple choice answers Adapt teaching and learning styles via socialization, pedagogy and technology NENKVANENVENEAKN Challenging the "efficient learner hypothesis" (ELF) --that all students begin at equal levels and progress similarly Shaping new processes for effective learning in the future--based on past performance Content: Student Information Content management and delivery with specialized subject content/evaluations System: External demographic student info Student Learning Data: Catalogs time-stamped student work within the learning system Predictive Model: Combination of demographic and student learning data; records progress and predicts future outcomes %3D Intervention Engine: Lets teachers, admins and developers bypass the automated system to facilitate student Adaptation Engine: Customizes content delivery for individual students' 1. performance/interests Dashboard: Conclusions of the predictive model are filtered into dashboards with feedback for students, faculty/teachers, administrators and Faculty & Teachers Administrators Researchers/ Developers Limitations and Costs Learning System When selected metrics are used to draw conclusions about relative terms (engagement, interest), the possibility of misinterpretation may be significant Why is it not widely used yet? 70-85% of resources in data analytics depend on costly human effort Each metric is typically measured separately, so correct evaluation of a series of dependent actions is unlikely Data cleaning Data formatting Very little standardization and limited unique tools Privacy concerns for both learners and teachers remain Data alignment Who gets access to the data? Comprehending accuracy and limitations is vital to deployment: misinterpretation could lead to inappropriate response by teachers How will it affect the future? Teachers will fill Instructor The most recent Horizon Report estimates 2-3 years to adoption multiple roles: Analysts Facilitator We'll turn away from understanding learning with hypotheses and into data-driven modes... Learning analytics can help educators identify students who are initially slow but surge ahead later, proceeding from the appearance of struggling to gifted in a couple of weeks Unlike a classroom setting, every student in a course using learning analytics answers every question, ensuring they interact with all course material Learning analytics can identify common wrong answers and create custom responses A crafted to help address the specifics of each particular Learning analytics can be customized to student needs, wrong answer allowing students to get a better, faster picture of their performance Learning analytics allows for online peer grading and self-grading because educators can monitor correlations between current vs. past performance and teacher vs. peer/self-grading SOURCES: http://hackeducation.com/2012/05/04/learning-analytics-lak12/ http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/ http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/ http://edudemic.com/2012/04/grades-2-0-how-learning-analytics-are-changing-the-teachers-role/ http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/ http://evidenceframework.org/wp-content/uploads/2012/04/EDM-LA-Brief-Draft 4_10 12c.pdf https://www.aamc.org/members/gir/295490/june2012viewpoint-learninganalytics.html http://www.webcitation.org/getfile.php?fileid=ce68cbe084978b008999a15a746ff385faela3ea http://net.educause.edu/ir/library/pdf/HR2012.pdf http://edudemic.com/2012/04/grades-2-0-how-learning-analytics-are-changing-the-teachers-role/ http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/ Open Colleges