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Record W2130019180

The Evolution of Online Education at a Small Northern Ontario University: Theory and Practice

2012· article· en· W2130019180 on OpenAlexaffvenueabout
Lorraine Carter, Robert Graham

Bibliographic record

VenueInternational journal of e-learning & distance education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsNipissing University
Fundersnot available
KeywordsDistance educationContext (archaeology)MentorshipSociologyPedagogyHigher educationThe InternetProfessional developmentLibrary sciencePolitical scienceGeographyWorld Wide WebComputer science
DOInot available

Abstract

fetched live from OpenAlex

One of the major influences on university education in Ontario is the growing use of Internet technologies. These new technologies have led faculty and learning experts at universities to talk about online and technology-enhanced learning with a fervor not often found on most campuses. Among other things, these discussions have challenged well known understandings of what has historically been called distance education. In this paper, we examine a cross-section of publications on distance and online education and reflect on our professional experiences in relation to the evolution of a teaching and learning centre in our small university in Northern Ontario. In addition to supporting the teaching and learning needs of an on-campus community, our Centre oversees the development and delivery of online courses for students at a distance from the physical campus. Within the context of this Centre, we represent the Academic Director and a faculty member completing doctoral studies on technology-enabled learning in the United Kingdom. As a conclusion, we propose that the geographical distance and possible isolation of Northern Ontario can be considerably reduced through online education and that it is no longer appropriate to speak about distance education. As Wenger (2004) suggests, many remote and rural communities as well as individual learners in these communities can access information and even inspiration from on line educational experiences. To achieve this, faculty continue to require resources including pedagogical supports, mentorship, and even inspiration to capitalize on the potential and opportunity of online models and strategies. Resume Une des influences majeures sur l’enseignement universitaire en Ontario est l’utilisation croissante des technologies en ligne. Ces nouvelles technologies ont amene les enseignants et les experts en apprentissage dans les universites a discuter de l’apprentissage en ligne et de l’apprentissage ameliore par la technologie avec une ferveur rarement rencontree sur d'autres campus. Ces discussions ont notamment remis en question certains preceptes bien etablis sur ce qu’on a, historiquement, defini comme etant de l’apprentissage a distance. Dans cette etude, nous faisons une analyse transversale de publications portant sur l’education a distance et l’apprentissage en ligne et proposons une reflexion sur nos experiences professionnelles en lien avec l’evolution d’un centre d’enseignement et d’apprentissage dans notre petite universite situee dans le nord de l’Ontario. En plus de soutenir la communaute se trouvant sur le campus au plan de ses besoins relatifs a l’enseignement et l’apprentissage, notre Centre supervise le developpement et la dispensation des cours en ligne pour les etudiants qui sont eloignes du campus physique. Dans le contexte de ce Centre, nous representons le Directeur universitaire (Academic Director) et un membre du personnel enseignant faisant des etudes doctorales sur l’apprentissage habilite par les technologies au Royaume-Uni. En terminant, nous proposons que la distance ainsi que le possible isolement geographique du nord de l’Ontario puissent etre considerablement reduits par l’education en ligne et qu’il ne soit plus approprie de parler d’education a distance. Comme le suggere Wenger (2004), de nombreuses communautes eloignees et rurales, de meme que des etudiants individuels dans ces communautes peuvent puiser des informations et meme de l’inspiration a partir d’experiences d’apprentissage en ligne. Pour ce faire, les corps enseignants ont toujours besoin de ressources, incluant le soutien pedagogique, le mentorat, et meme de l’inspiration pour profiter au maximum des opportunites et du potentiel offerts par les modeles et les strategies d’enseignement en ligne.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0150.018
Scholarly communication0.0100.005
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.012
GPT teacher head0.310
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2012
Admission routes3
Has abstractyes

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