The Statue Quo and Trend of Cross boarder Higher Education in ODL:The Interview with Dr. Don Olcott,Jr.
Bibliographic record
Abstract
With the development of cross-border education in the increasingly globalized environment,cross-border education in distance delivery format is an emerging new force in international higher education.The emergence of this novel mode of higher education attracts the attention of educational administrators,institutions of higher education,researchers as well as learners.Cross-border higher distance education is under rapid development in the western countries in Europe and North America,which are also traditional resource countries of cross boarder higher education.In this issue of Open Education Research,we are honored to interview Dr.Don Olcott,Jr.,Chief Executive of The Observatory of Borderless Higher Education.Through this interview and from the perspective of Dr.Olcott and his organization,readers can learn more about the current state of global cross border distance higher education.The interview also covers various problems of this field,and provides some tentative predictions and analysis about future developments,in the hope of providing a frame of reference for major host countries like China in their potential transformation from host countries to resource countries.Dr.Don Olcott,Jr.,is the Chief Executive of The Observatory of Borderless Higher Education(OBHE in London.Dr.Olcott is also Ex-Chairman of the Board of Directors and President of USDLA from 2006-07.He serves on the Executive Committee of the UK's Council of Validating Universities(CVU) and the Board of Directors for the University of London's distance learning center.Dr.Olcott is a Fellow of the Royal Society for the Arts(FRSA).Dr.Olcott previously held senior leadership posts at Western Oregon University,VCampus Corporation,the University of Arizona and the Western Interstate Commission for Higher Education(WICHE).He also held administrative and faculty posts with Oregon State University,the University of Missouri-Columbia,and Western Washington University.Dr.Olcott is a member of the editorial boards of the American Journal of Distance Education,Open Learning,the Journal of Continuing Higher Education,India's Open University e-Learning Journal,and the Distance Learning Report.He has published extensively in the areas of leadership,faculty development for distance education,organizational change,and higher education policy.Dr.Olcott has received numerous national and international awards for leadership,research and publications in higher education and distance learning.Dr.Olcott is an internationally known speaker.He has consulted for colleges,universities,and corporations in the United States,Canada,Australia,the United Kingdom and other European countries.He was a 1993 graduate of Harvard University's Institute for the Management of Lifelong Education and a 2005 graduate of UCEA's Executive Leadership Academy at New York University.He received his bachelors and masters' degrees from Western Washington University and his doctorate in higher education leadership from Oregon State University.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".