To whom are you sharing/documenting the quality of your distance education programs or plans for distance education?

 Quality is in the eye of the beholder:


Objectively

What evidence is available to support claims of quality? 

There are decades of studies that support the premise that quality learning can and does occur at a distance.  It is the pedagogy rather than the technology mode that determines quality.

Over the years, after hundreds of studies, the "no significant difference phenomenon" developed.

The No Significant Difference database was first established in 2004 as a companion piece to Thomas L. Russell's book, "The No Significant Difference Phenomenon" (2001, IDECC, fifth edition), a fully indexed, comprehensive research bibliography of 355 research reports, summaries and papers that document no significant differences (NSD) in student outcomes between alternate modes of education delivery.  Redesigned in 2010 and provided as a service of WCET, (WICHE Cooperative for Educational Technologies), a division of the Western Interstate Commission for Higher Education, the database was designed to expand the offerings from the book by providing access to appropriate studies published or discovered after its publication.  https://detaresearch.org/research-support/no-significant-difference/

Another large study was led by Barbara Means for the US Dept of Education.  In a major meta-study, it too, found that distance learning is equivalent, and in many cases better than face to face. 

Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies

Means, Barbara; Toyama, Yukie; Murphy, Robert; Bakia, Marianne; Jones, Karla

US Department of Education

A systematic search of the research literature from 1996 through July 2008 identified more than a thousand empirical studies of online learning. Analysts screened these studies to find those that (a) contrasted an online to a face-to-face condition, (b) measured student learning outcomes, (c) used a rigorous research design, and (d) provided adequate information to calculate an effect size. As a result of this screening, 51 independent effects were identified that could be subjected to meta-analysis. The meta-analysis found that, on average, students in online learning conditions performed better than those receiving face-to-face instruction. The difference between student outcomes for online and face-to-face classes--measured as the difference between treatment and control means, divided by the pooled standard deviation--was larger in those studies contrasting conditions that blended elements of online and face-to-face instruction with conditions taught entirely face-to-face. 

https://www2.ed.gov/rschstat/eval/tech/evidence-based-practices/finalreport.pdf

Studies still abound researching a variety of disciplines, circumstances, and conditions.  Some sources:

Two of the leading journals that publish such studies:

https://aect.org/pubnews.php

https://olj.onlinelearningconsortium.org/index.php/olj

There are many other journals, notably discipline area journals that also have carried such articles.

How can institutions collect evidence of quality? 

What are your current practices for documenting quality in distance education?

How Do We Identify Quality in Distance Education Leadership?

In 2015, UPCEA drafted a well-received report on Excellence in Online Learning Leadership.  The tenants of this report remain relevant today:


The 7 Hallmarks of an Online Learning Leader

https://upcea.edu/resources/hallmarks-online/

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How can you keep up with the daily developments and trends?

Ray's Metasite on Generative AI https://sites.google.com/view/upcea-gpt/ 

Ray's Daily Curated Reading Lists and Social Media. Blogs with daily updates on the field of online / continuing learning in higher education


Contact Ray

rschr1@uis.edu ~ rayschroeder@gmail.com - ray@upcea.edu

Senior Fellow, University Professional and Continuing Education Assn.

Professor Emeritus, University of Illinois Springfield

https://rayschroeder.com