1. Corey Lee, Ph.D. Sherri Restauri, Ph.D. Coastal Carolina University
FEATURED PRESENTATION
Preparing Students to E-Learn Effectively How Are You Preparing Your Students To Learn Effectively Online?
Corey Lee, Ph.D.
Sherri Restauri, Ph.D.
Coastal Carolina University

2. Outline Project Background Factors of student persistence
Project Goals
Demo and Test Drive (features): eLearnReady.com
Applications of eLearnReady
Future Studies
Q & A

3. Project Background High attrition rate in online courses
Students are not ready to take distance learning courses
Provide learning resources and support for online learners (accreditation requirement)
Support and prepare students to take an online class by determining their level of readiness
Provide guidance to faculty on student composition by class

4. Factors of student persistence
Self-Motivation (Hung, Chou, Chen, & Own, 2010; Schapiro, 2000; Waschull, 2005;)
Self-Management (Schapiro, 2000; Waschull, 2005;)
Feedback (Pridemore, 1995; Baker, 2004; Neuliep, 1997)
Interaction (Swan, 2002; Tu, 2002)
Reading: Visual Text (Lee, 2000; Monaghan & Stenning, 1998)
Reading: Visual Graphics (Monaghan & Stenning, 1998)
Listening (Monaghan & Stenning, 1998)
Technology (Hantula, 1998; Lee, 2000)
Learning Management System (Hantula, 1998; Lee, 2000)

5. Student Readiness Instrument: eLearnReady.com
Nine Variables
40 Questions
Analysis Report with visuals
Study Tips with video clips
Class Profile
Teaching Strategies
Share with academic advisor

6. Key Points on eLearnReady
Automatic, Assessing, Advising
Assesses student readiness to success in an online class
Provides individual as well as class-wide collated data
Data can be distributed directly to others (faculty; advisors)
Data can be collated class-wide and assessed for intervention by faculty members
eLearnReady is a free tool available to all campuses
Personalization options

7. eLearnReady

8. Demo and Test Drive eLearnReady.com Student tools:

9. Demo and Test Drive Teacher tools:

10. Future Studies & Directions
Faculty Assessment Tool
Identification of predictive factors for online teaching success
Faculty training and support strategies can be implemented to improve faculty knowledge of methods in OL and increase student satisfaction level
Course development vs Course Administration considerations
Advising
Student placement into appropriate course formats based on performance metrics
Enrollment/Retention/WDF concerns
LMS Templates

11. Next Steps & Considerations
Case studies of usage/white papers
Merlot peer review
Faculty video guides to support students’ needs
Some considerations:
LMS integration
Grading/completion of profile
Sequential and prescribed course progression based on performance
Distribution of tool to the masses

12. Future Studies Relationships among: Student’s eLearnReady Profile
Individual Course Satisfaction
Student Performance/Achievement
If predictive factors are identified, intervention strategies can be implemented to improve student learning outcomes (performance) and increase student satisfaction level
Retention issues can be addressed

13. Future Studies (cont.) Faculty Assessment Tool
allows instructors to self-assess their readiness level for online teaching.
provides suggestions and resources for teaching improvement.
allows school administrators to understand their faculty’s needs and provide professional development accordingly.

14. Takeaways Student Tool Teaching Tool Advising Tool Orientation Package
Discussion Forum
Teaching Tool
Advising Tool

15. Questions & Support Us Corey Lee Sherri Restauri clee@coastal.edu

16. Presentations & Publications
Abell, N., Cain, M., & Lee, C.Y.C. (2016). Essential Attributes for Online Success: Student Learning Preferences and Faculty Teaching Styles.International Journal on E-Learning, 15(4),
Abell, N., Lee, C., Cain, M., & Wulff, H. (2008). Consider Your Style ~ A Customized Self-assessment Tool for Teaching Effectiveness in Online Environments. E-Learn World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education, 2008,
Abell, N., Lee, C., Cain, M., & Wulff, H. (2007). Learning Attributes Essential for Online Success: Individualized Metacognitive Strategies for Online Learners. E-Learn World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education, 2007,
Lee, C., Abell, N., Cain, M., & Bender, B. (2006). Learning Attributes Essential Learning Attributes Essential for Online Success: An Instrument for Assessing and Supporting Students. E-Learn World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education, 2006 ,
Presentations
Lee, C., & Restauri, S. (2017, April). Student Readiness for Online Learning: How Are You Preparing Your Students To Learn Effectively? Paper presented at Online Learning Consortium (OLC) Innovate New Orleans, LA.
Lee, C., & Dickerson, J. (2015, October). An Automatic Advising System for Assessing and Assisting Online Students. Paper presented at South Carolina Educational Technology Conference (SCEDTC) 2015, North Charleston, SC.
Lee. C. & Shinaberger, J. (2014, September). Supporting Distance Learning Initiatives: Learning Resources and eReadiness Assessment System. Coastal Carolina University’s Assessment Day, Conway, SC.
Shinaberger, J.M., Shinaberger, L., & Lee, C. “eLearnReady: A Free Assessment Tool for Determining Student Online Readiness” Presented at ASCUE (Association Supporting Computer Users in Education), North Myrtle Beach, SC, June 2014.
Lee, C., Shinaberger, J., & Shinaberger, L. (2013, October). eReadiness Assessment System for Online Learners: Helping Students Succeed. Paper presented at South Carolina Educational Technology Conference (SCEDTC) 2013, Greenville, SC.
Lee, C., Shinaberger, J. (2012, October). An assessment system for helping students get ready for online learning. Paper presented at South Carolina Educational Technology Conference (SCEDTC) 2012, Greenville, SC.