https://padlet.com/mdavi234/emo7ibjhcvaj EIST 8120 en-us 2017-05-23 18:29:57 UTC 2017-06-03 17:07:55 UTC hello@padlet.com mdavi234 https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173469935 Marc Davis]]> 2017-05-23 18:30:29 UTC https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173469935 mdavi234 https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173470321 Learning analytics is an educational application of web analytics aimed at learner profiling, a   process of gathering and analyzing details of individual student interactions in online learning activities ]]> 2017-05-23 18:32:16 UTC https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173470321 mdavi234 https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173471680 Build better pedagogies, empower active learning, target at-risk student    populations, and assess factors affecting completion and student success.

]]> 2017-05-23 18:37:36 UTC https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173471680 mdavi234 https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173692990 Analytics has many different ways is can generate value in higher education. 
1. They can assist in the allocation of resources by college administrators. 
2. Analytics can be used to help identify at risk learners and give the opportunity for intervention with the student to alter there path before the semester is over. 
3. Analytics can help institutions to identify strengths and weaknesses.
4. Analytics can help learner to understand their learning habits so they can be more successful. 

]]> 2017-05-24 18:19:07 UTC https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173692990 mdavi234 https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173694622 Clow, D. (2013).  An overview of learning analytics. Teaching in Higher Education, 18, 6, 683-695.

Long, P. & Siemens, G. (2011) Penetrating the fog: Analytics in learning and education. retrieved from http://net.educause.edu/ir/library/pdf/erm1151.pdf

New Media Consortium. (2016). NMC horizon report: 2016 Higher education edition. Retrieved from http://cdn.nmc.org/media/2016-nmc-horizon-report-he-EN.pdf]]> 2017-05-24 18:26:45 UTC https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173694622 mdavi234 https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173859537 Predictive Modeling: 
Using mathematical models to produce estimates of likely outcomes. 
For example, will a student complete a course

Social Network Analysis (SNA): 
"Methods for analyzing the connections between people in a social context" using network analysis. (Clow, 2013, p. 688). This could be used in an online course to see which students are engaged in discussion forums or if the students or teacher is driving the discussion.

Usage Tracking: 
The ability to tract what applications on a computer a student might use over a period of time. 

Content Analysis and Semantic Analysis:
The ability to analyze qualitative, textual data. For example the ability to generate automatic feedback to students on written assignments. 

Recommendation Engines:
computational tools that provide suggestion to individuals of items they may be interested in. For example, providing resource suggestions to students based on previous used resources. 

]]> 2017-05-25 16:28:51 UTC https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173859537 mdavi234 https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173871431 Currently my department uses analytics with student learning outcomes. Each program at the college is responsible for developing student learning outcomes (SLO's). My department, business, has established five SLO's. Each SLO's has 3 forms of assessment that we use to assess students in the final course of the program.  

The results of these assessments are entered into the college's institutional effectiveness plan (IEP) program each spring. During the fall semester the business department faculty get together and review the results and compare them to SLO's results from the year prior and to five year averages. 

From the analysis of the data the department is expected to identify areas where we have had success and areas that we are showing weakness. In our areas of weakness the business department is expected to make program changes that will help improve our student outcome results. ]]> 2017-05-25 17:26:33 UTC https://padlet.com/mdavi234/emo7ibjhcvaj/wish/173871431