This mixed methods study explored racial or ethnic minority students who were enrolled in an online course to determine if there was a relationship between their online learning readiness characteristics and their outcomes across institutions. Also, minority student perceptions of what skills and experiences lead to success and how they can be better supported for online online learning is reported. Student surveys were administered using Likert and open-ended items to gather quantitative and qualitative data. Readiness characteristics included student reporting of their technology access, beliefs, and skills (technology access, online work skills, social technology skills, online efficacy), their self-efficacy (self-directedness and organization, achievement mindset, and growth mindset), and their communication (need for socialization, general communication competence, communication with instructor, and communication with peers), and student outcomes gathered included student perceptions of learning, self-reported satisfaction, and academic performance (course grade, instructor reported). Significant findings were discovered from multiple regression analyses indicating that several of these measures of readiness (online work skills, online efficacy, self-directedness and organization, communication with instructor, communication with classmates) positively influence student outcomes (learning, satisfaction, and academic performance). Qualitative findings indicate that minority students report time management, previous online course experience, and online work skills as the most prevalent themes of skills and experiences that positively influence their success. Moreover, they recommend that instructors and institutions provide them additional resources prior to the class to better prepare them to be successful, and that they receive support during the class by instructors and academic support staff. Recommendations are shared.
1. Minority students’ online learning readiness
Tanya Joosten, Ph.D.
National Research Center for Distance Education
and Technological Advancements (DETA
University of Wisconsin – Milwaukee (UWM)
tjoosten@uwm.edu | @tjoosten
Detaresearch.org
13. RQ 1: What is the relationship between ethnic and racial
minority students’ readiness for online learning and
student outcomes?
RQ 2: What skills do minority students feel are most useful
in order to be successful in an online course?
RQ3: How can instructors and institutions better prepare
minority students for online learning?
RQs 13
23. Student characteristic measures
Technology Access Social Tech Skills
Online Work
Skills
Self-Efficacy Online efficacy
Self-directedness
and organization
Growth mindset
Achievement
Mindset
Communication Need for
socialization
General
communication
competencies
Comm
competency with
classmates
Comm
competency with
instructor
24. B. What is one question you still have about
my methodological approach to studying
OLR?
@tjoosten @DETAResearch #UWDTL
#DETAOLRI
26. Learning
Online efficacy
Communication with instructor
Satisfaction
Online work skills
Online efficacy
Communication with instructor
Performance
Organization and self-directedness
Regression analysis
27. Learning
Online efficacy
Communication with instructor
Satisfaction
Online work skills
Online efficacy
Communication with instructor
Communication with classmates (-)
Performance
Organization and self-directedness
Communication competencies (-)
Regression analysis
31. Invest in resources for students in
online courses
• Tips an strategies
• Online readiness course
• Types of academic support services
Recommendations
32. D. What is one recommendation you would
make for research or practice for OLR?
@tjoosten @DETAResearch #UWDTL
#DETAOLRI
33. • Download DETA Research Toolkit
• Become an institutional partner and data collection site
• Access the quality indicators handout
• Read more about effective practices in the DETA Research Briefs
• Download the OLR article in AJDR and DTL proceeding
• Look out for the new OLR intervention
• Advocate for editors for research we need to inform practices
• Visit slideshare.com for these slides
Resources
35. 35
Tanya Joosten, Ph.D.
National Research Center for Distance Education
and Technological Advancements (DETA)
University of Wisconsin – Milwaukee (UWM)
tjoosten@uwm.edu | @tjoosten
DETAResearch.org
Editor's Notes
DATE & TIME
Aug 5th at 2:45 PM until 3:30 PM
This mixed methods study explored racial or ethnic minority students who were enrolled in an online course to determine if there was a relationship between their online learning readiness characteristics and their outcomes across institutions. Also, minority student perceptions of what skills and experiences lead to success and how they can be better supported for online online learning is reported. Student surveys were administered using Likert and open-ended items to gather quantitative and qualitative data. Readiness characteristics included student reporting of their technology access, beliefs, and skills (technology access, online work skills, social technology skills, online efficacy), their self-efficacy (self-directedness and organization, achievement mindset, and growth mindset), and their communication (need for socialization, general communication competence, communication with instructor, and communication with peers), and student outcomes gathered included student perceptions of learning, self-reported satisfaction, and academic performance (course grade, instructor reported). Significant findings were discovered from multiple regression analyses indicating that several of these measures of readiness (online work skills, online efficacy, self-directedness and organization, communication with instructor, communication with classmates) positively influence student outcomes (learning, satisfaction, and academic performance). Qualitative findings indicate that minority students report time management, previous online course experience, and online work skills as the most prevalent themes of skills and experiences that positively influence their success. Moreover, they recommend that instructors and institutions provide them additional resources prior to the class to better prepare them to be successful, and that they receive support during the class by instructors and academic support staff. Recommendations are shared.
DETA was launched in 2014
FIPSE funded. now additional funding from Spencer foundation and ELE/Bill and Melinda Gates Foundation
There were 3 primarily activities at the DETA Research Center over the last 6 years.
The first was to develop a toolkit to build a coherent language as which we can all do research. We are from different fields and don’t always speak the same language when it comes to what is research and how to do research.
Next slide (link to toolkit)
Develop Toolkit
Describe why and how it was developed.
-National Summit at ELI 2015
Describe contents
-Framework, Guides, Survey Instrumentation, Codebook, Other resources (IRB, Data sharing)
Describe how many people have downloaded
-1000+ downloads in every state of the US and in 25 countries
Caution – do not talk about collecting data until you have given them the toolkit link
Thanks to funding from ELE, WCET, and B&M Gates Foundation
Collect data
Example of sharing effective practices.
Refer to article in November OLJ, available at detaresearch.org along with the infographic
FIPSE funded
Now additional funding from Spencer foundation, etc.
Almost 5 years
This mixed methods study explored racial or ethnic minority students who were enrolled in an online course to determine if there was a relationship between their online learning readiness characteristics and their outcomes across institutions. . Also, minority student perceptions of what skills and experiences lead to success and how they can be better supported for online online learning is reported.
This mixed methods study explored racial or ethnic minority students who were enrolled in an online course to determine if there was a relationship between their online learning readiness characteristics and their outcomes across institutions
FIPSE funded
Now additional funding from Spencer foundation, etc.
Almost 5 years
FIPSE funded
Now additional funding from Spencer foundation, etc.
Almost 5 years
We collected data from 441 students
Data from SIS was collected to distribute surveys.
Participants who returned surveys were added into the data set and additional data regarding demographics and academic performance was gathered from their institution.
The survey data and SIS data were merged to form the data set for analysis.
Student surveys were administered using Likert and open-ended items to gather quantitative and qualitative data.
Readiness characteristics included student reporting of their technology access, beliefs, and skills (technology access, online work skills, social technology skills, online efficacy), their self-efficacy (self-directedness and organization, achievement mindset, and growth mindset), and their communication (need for socialization, general communication competence, communication with instructor, and communication with peers), and student outcomes gathered included student perceptions of learning, self-reported satisfaction, and academic performance (course grade, instructor reported).
Technology access
Social technology skills
Online work skills
Online efficacy
Organization & self-directedness
Growth mindset
Achievement mindset
Socialization
Communication competencies
Communication with Instructor
Communication with Classmates
Student surveys were administered using Likert and open-ended items to gather quantitative and qualitative data. Readiness characteristics included student reporting of their technology access, beliefs, and skills (technology access, online work skills, social technology skills, online efficacy), their self-efficacy (self-directedness and organization, achievement mindset, and growth mindset), and their communication (need for socialization, general communication competence, communication with instructor, and communication with peers), and student outcomes gathered included student perceptions of learning, self-reported satisfaction, and academic performance (course grade, instructor reported).
Technology access
Social technology skills
Online work skills
Online efficacy
Organization & self-directedness
Growth mindset
Achievement mindset
Socialization
Communication competencies
Communication with Instructor
Communication with Classmates
Qualitative data was collected through open-ended survey questions. These questions asked students about the impact previous experiences in online courses had on their most recent learning experience, skills they perceive as necessary for online learning success, and recommendations for how instructors and institutions of higher education can help students succeed in an online learning environment.