[Faculty] ITS and CTL are co-hosting a related lunch event at the Faculty Staff Club on Wednesday, October 29 from 11:30-12:50 titled: Using Data to Catch the Struggling Student Earlier

[Yusuf Ozturk]

Engineering Faculty,



The following announcement is coming from ITS.  In my role as a member of
the Senate ITS committee , I am asking to spread this announcement.  Please
consider attending if your schedule allows.



Regards

Yusuf Ozturk



    On Fri, Oct 3, 2014 at 12:23 PM, James Frazee <jfrazee at mail.sdsu.edu>

ITS and CTL are co-hosting a related lunch event at the Faculty Staff Club
on Wednesday, October 29 from 11:30-12:50 titled: *Using Data to Catch the
Struggling Student Earlier*


Space is limited so please RSVP at: http://ctl.sdsu.edu/events


As I mentioned, the project in support of SDSU’s “Building on Excellence”
Strategic plan.  Leveraging results from two courses (four sections, 824
students) in spring 2014, the project will continue to analyze multiple
data sources to identify students potentially at-risk of failing high
demand, large enrollment courses.  Interventions will be conducted with
flagged students with targeted suggestions to improve their course
achievement.  This intervention will be designed as an experimental study
using a design research approach, which enables a rigorous assessment of
the impact of the project while adapting for the realities encountered
while conducting the experimental intervention.  For the 2014-2015 AY, we
have commitments from faculty teaching 12 course sections, with a potential
impact of over 4,000 students, to participate in the project.



The SDSU Spring 2014 study was able to predict over 50% of the variation in
student final grade, and interventions had a statistically significant
impact with Pell-eligible students in one course subject (Psychology).
This year, the project will dedicate effort on designing more robust
interventions with potential to impact a larger student population.



The faculty teaching the courses will be actively engaged in creating
triggers of low achievement and interpreting results from the project.  The
proposed project will investigate data about student achievement as
influenced by weekly faculty outreach to students based in indicators of
low achievement provided through Bb Learn, publisher materials, “clicker”
use, and other academic technologies that are used to support learning in
the courses.



In addition to data recorded by academic technology, data will be analyzed
from Bb Learn, student self-reported time on task surveys, student
demographic data, prior academic achievement, interviews with
faculty/advisors, and surveys with students.  A diverse team is conducting
this study with expertise in online learning, student engagement, Learning
Analytics methods, and student advising.



The ultimate goal of this study is to identify whether these interventions
are effective, and if so, which interventions have the greatest impact on
the student most at-risk of low achievement.



ps - here is an example of one of the weekly interventions:
http://youtu.be/x-51kW5s5sc



--James

Dr. James P. Frazee
Senior Academic Technology Officer
Director, Instructional Technology Services
San Diego State University
(619) 594-2893
http://its.sdsu.edu

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