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Record W2622467970

Perceptions of E-Learning Utility-Towards a Canadian Forces Strategy

2006· dissertation· en· W2622467970 on OpenAlex
Ray Golka

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAUSpace (Athabasca University) · 2006
Typedissertation
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPolitical sciencePsychologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This qualitative research examines the perceptions of e-learning stakeholders within the Canadian Department of Defence and makes strategy recommendations that may support e-learning adoption.A review of the literature describes the diffusion of educational technology as a slow and evolutionary process that may take twenty-five years or more to be realized in educational settings.Adoption is more successful if the technologies are easily integrated, not too complex and offer obvious advantage over existing practices.A review of distance education systems suggests a return to the basics.Large distance education systems thrive using print as the media of choice to support learning.Leading theories of distance education inform the reader of the essential requirements to support learning at a distance including the requirement for interaction and communication.The Canadian Forces (CF) are aligned with the Advanced Distributed Learning (ADL) and the Shareable Content Object Reference Model (SCORM).As one of only two ADL colabs located outside the United States, learning objects, contrary perspectives to the learning object paradigm, and notions about the SCORM standard are explored.Moreover, many complex notions embedded in the learning object concept have led some to ask where is the learning in learning objects and complex standards.Two related themes that have recently gained momentum are the convergence of knowledge management with e-learning and the rapid development of e-learning.These notions seem to support a shift from course-based learning to just-in-time and informal learning constructs.Elements of a strategic plan including the requirement for vision and leadership are examined as critical components to adoption.There is no shortage of educational technology.However, vision, leadership, and pedagogical practices have not kept pace with technological development.Hence, strategy and vision must be able to withstand the constant barrage and challenge of implementing new technologies.The v Chapter Four, "findings," provides a rich description of the challenges of implementing advanced technology applications, in the words of the candidates who were interviewed.The Chapter Five, "conclusion," provides strategic recommendations that may be considered for implementation.vi Chapter II -Review of Related LiteratureThe introduction of new technology can be both exciting and alienating.It may create or destroy jobs, and it can both enhance the quality of our lives and seriously undermine it.It poses challenges for all aspects of our society, including the ways in which we teach and learn (Paul, 1995, p. 127).

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.238
Teacher spread0.226 · 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