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Record W7040158960

Web-Based Training

2007· other· en· W7040158960 on OpenAlexaboutno aff

Bibliographic record

VenueAUSpace (Athabasca University) · 2007
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTrainerQuality (philosophy)Training (meteorology)ConfusionThe Internet
DOInot available

Abstract

fetched live from OpenAlex

Current Web-based training (WBT) is based upon systematic research and experience with strategies for improving learning
\nand instruction, beginning in the early part of the 20th century and continuing to the present. Use of the World-Wide Web for
\ndelivery may improve access to training, but the effectiveness of the resulting training and the usefulness of the outcomes is
\nchiefly dependent upon the quality of the instructional design and the completeness of the support package provided. Factors
\nthat impact WBT quality, and which must be addressed in design and implementation processes, include assessment and
\naccommodation of trainees’ previous learning experiences, training expectations, and overall readiness for new training;
\navailability and familiarity to trainees and trainers of appropriate delivery technologies; presence of technical support;
\nopportunities for interaction with the trainer and other trainees; the preparation and practices of trainers; corporate support and
\nrecognition; trainees’ capacities and expectations for independent and self-directed learning; and the presence of relevant,
\nquality online training materials.
\nWBT creates changes and may thus produce stresses in the training environment, as well as efficiencies. Reduction in travel
\nand subsistence requirements means cost savings, but may also be seen by trainees as depriving them of opportunities to meet
\nwith each other face-to-face; self-pacing means trainees may proceed independently and at their own rate, but also that group
\nsupport may be reduced (unless a cohort model is adopted); use of the Internet for delivery of training materials may foster
\ntrainee independence, but may also result in confusion for some trainees used to print materials and a paced, group delivery
\nmodel; trainers no longer have to lecture as materials (always high quality, and often multimedia-based) are prepared in
\nadvance, but some may resent the loss of their role at center-stage; trainees are more responsible for their own learning, which
\nmay reflect the autonomy of adult responsibility common in the other areas of their lives, but this may be different from the
\nexpectations of some for how training should be conducted.
\nTo achieve the efficiencies and advantages well-designed and -managed WBT may offer, adopting organizations must make
\nadjustments. Managers may need to show concrete support for online training by permitting trainees to use corporate
\nresources during company time, to assure access to adequate bandwidth. Trainers may need to master new skills and be
\nwilling to adopt new roles less concerned with information dissemination and more involved with meeting individual trainees’
\nexpressed needs. Trainees themselves may also need new skills, and may need to exercise more independence and selfdirection
\nin their learning.
\nAs technologies become more available to support WBT, and as more models of successful WBT are available, the
\ncommitment to this delivery model is predicted to continue to grow. The previous corporate experience of the “productivity
\nparadox” in relation to computers, in which some succeeded in improving productivity while others did not—and some even
\nexperienced productivity losses—will need to be avoided, especially in relation to promising innovations such as reusable
\nlearning objects. Similarly, arrival of the noncommercial “new Internets” in Canada and the United States constitute a fresh
\nstart, an opportunity to demonstrate the value of these resources for academic and research purposes.
\n2
\nChoices of the right technologies, effective use of these choices, attention to security and privacy concerns, adequate training
\nand support of users at all levels, assurance of timely and convenient technology access, and

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 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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.014

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 head0.024
GPT teacher head0.230
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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