# data[].attributes.body
1. Personalized learning with Fishtree

2. Training

3. Canvas

4 Linked In

# data[].attributes.body
Linked in uses data to help students explore career options, see skills employers are looking for, find internships and jobs and network with other professionals.

# data[].attributes.body
Canvas is a personalized learning system NCDPI which the state has purchased licenses for . Teachers are supposed to be trained this coming summer.

# data[].attributes.body
I plan on using data driven instruction and personalized learning provide ways to use data to modify learning strategies and processes. Student progress is monitored in real time. It is developing tools for revealing patterns inherent in those data then applying them in the improvement of  instructional systems.

# data[].attributes.body
I could see using learning analytics to determine allocation of resources to develop competitive advantages for a business or in education. The goal is to build better pedagogies, empower learners to take an active part in their own learning, assess factors affecting completing and success. The key is to turn meaningful information into easily assimilated and understood data by the learner. (Horizon Project)

# data[].attributes.body
Booth, Melanie, Educause Review, Learning Analytics: The Ne w Black http://bit.ly/LearningAnalytics_Educause

The Guardian, Learning Analytics don't just measure student's progress- they can shape it http://bit.ly/LearningAnalytics_StudentProgress

The Office of Educational Technology, Learning Analytics http://tech.ed.gov/learning-analytics/

Horizon Project, NMC Horizon Report 2015 Higher Education Edition, http://bit.ly/HorizonWiki

# data[].attributes.body
Learners have insight into their own learning. Learning analytics tacks the concepts that were mastered and the concepts that were particularly difficult thus providing tools to recognize challenges early, improve student outcomes and personalize the learning experience.

# data[].attributes.body
It alters existing teaching, learning and assessment processes academic work and administration. For example, interventions assist learners in achieving success.

# data[].attributes.body
Learners demonstrate mastery of important concepts resulting in content relevant to learning goals and knowledge domain the learner is attempting.

# data[].attributes.body
Data and analysis provides up to date information and allows rapid responses to challenges.

# data[].attributes.body
Transparent data and analysis can create a shared understanding of the institutions successes and challenges.

# data[].attributes.headline
Dashborads: Reflection and responsibility for one's own learning

# data[].attributes.subject
Dashborads: Reflection and responsibility for one's own learning

# data[].attributes.body
Purdue University, Signals Learning Analytics: green means all is going well, yellow is cause for concern and red is high risk, all of which are linked to advice about action students can take to get back on track, encouraging reflection and responsibility (Guardian). Learners have insight into their own learning habits and understand their progress. Dashboards are a visual representation of the data integrated into the LMS as a way to personalize the learning experience.

# data[].attributes.body
Linked In Discusses their use of data to help prospective students explore career options: For example, correct school, major, internship, graduate school, job, alumni network (OET).

# data[].attributes.body
Data miners find and make use of patterns in data and combine this with pedagogy. Traces left by learners in online environments are used to improve teaching and learning. (Guardian)