But the most dramatic factor shaping the future of higher education is something that we can’t actually touch or see: big data and analytics. Basing decisions on data and evidence seems stunningly obvious, and indeed, research indicates that data-driven decision-making improves organizational output and productivity.
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Penetrating the Fog: Analytics in Learning and Education (EDUCAUSE Review) | EDUCAUSE - 1 views
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According to the 1st International Conference on Learning Analytics and Knowledge, “learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.”
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Analytics spans the full scope and range of activity in higher education, affecting administration, research, teaching and learning, and support resources.
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How do big data and analytics generate value for higher education? They can improve administrative decision-making and organizational resource allocation. They can identify at-risk learners and provide intervention to assist learners in achieving success. By analyzing discussion messages posted, assignments completed, and messages read in LMSs such as Moodle and Desire2Learn, educators can identify students who are at risk of dropping out.13 They can create, through transparent data and analysis, a shared understanding of the institution’s successes and challenges. They can innovate and transform the college/university system, as well as academic models and pedagogical approaches. They can assist in making sense of complex topics through the combination of social networks and technical and information networks: that is, algorithms can recognize and provide insight into data and at-risk challenges. They can help leaders transition to holistic decision-making through analyses of what-if scenarios and experimentation to explore how various elements within a complex discipline (e.g., retaining students, reducing costs) connect and to explore the impact of changing core elements. They can increase organizational productivity and effectiveness by providing up-to-date information and allowing rapid response to challenges. They can help institutional leaders determine the hard (e.g., patents, research) and soft (e.g., reputation, profile, quality of teaching) value generated by faculty activity.14 They can provide learners with insight into their own learning habits and can give recommendations for improvement. Learning-facing analytics, such as the University of Maryland, Baltimore County (UMBC) Check My Activity tool, allows learners to “compare their own activity . . . against an anonymous summary of their course peers.”15
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Number two talks about customizing learning through analytics by recognizing at-risk learners and helping them learn better. -
Number nine also talks about customizing how students are taught. It says that Learning Analytics "can provide learners with insight into their own learning habits and can give recommendations for improvement."
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Analytics in education must be transformative, altering existing teaching, learning, and assessment processes, academic work, and administration.
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This right here is directly talking about using learning analytics to customize how students are taught
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Undoubtedly, analytics and big data have a significant role to play in the future of higher education. The growing role of analysis techniques and technologies in government and business sectors affirms this trend. In education the value of analytics and big data can be found in (1) their role in guiding reform activities in higher education, and (2) how they can assist educators in improving teaching and learning.
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So pretty much this is saying that Learning Analytics can improve education because it can assist educators and help them improve their teaching and education based off of the data that they find about their students
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Learning Analytics helps educators find out whats wrong and change it around the student so the student can get the best education possible
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Learning analytics is essential for penetrating the fog that has settled over much of higher education. Educators, students, and administrators need a foundation on which to enact change. For educators, the availability of real-time insight into the performance of learners—including students who are at-risk—can be a significant help in the planning of teaching activities. For students, receiving information about their performance in relation to their peers or about their progress in relation to their personal goals can be motivating and encouraging. Finally, administrators and decision-makers are today confronted with tremendous uncertainty in the face of budget cuts and global competition in higher education. Learning analytics can penetrate the fog of uncertainty around how to allocate resources, develop competitive advantages, and most important, improve the quality and value of the learning experience.
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This is a super helpful and straight forward answer to the question "how can learning analytics improve education." You can't get any clearer that that!
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This source was written by George Siemens,who works in the Technology Enhanced Knowledge Research Institute at Athabasca University, and Phil Long, a Director of the Centre for Education Innovaton and Technology at the University of Queensland. This site talks about how Analytics are used and what they are used for in Education
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I really think this website can help anyone with a "foggy" idea of learning analytics. Explains what to do with them above and beyond. Woo hoo. -
This article is about how data mining and research can help make decisions. This process is using statistical information instead of using informal guessing. It is beginning to be used on a wide level including medicine , business , and social programs and schools. It also says that education most have a reform and learning anaylitcs will have the biggest impact in deciding what will change or what will be added. So many of the students now a days spends time on the internet with social media and this leaves a foot print which leaves data of how their learning process works. Learning anaylitics is important because it benefits administrative and student purposes.
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7 ways the iPad is transforming the field | TabTimes - 0 views
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this website is stating how doctors are beginning to convert to ipads instead of using the paper charts. examples; if a doctor wants to know a status about a patient, instead of going to their room to view their status on their charts, the doctors can be connected to EHR so their lab results can go straight to their ipads which can save time which is very vital for a doctor or nurse. there is even a hospital in Britain that is using ipads to relax their patients during surgery. also, ipads are now beginning to create apps so you will no longer have to fill out the clipboard and now you can do it on your app.