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Record W1541511837 · doi:10.19173/irrodl.v12i2.949

Delimiting the prospect of openness: An examination of initial student approaches to e-learning

2011· article· en· W1541511837 on OpenAlexvenueno aff
Christopher Naughton, John Roder, Juliette Smeed

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsOpenness to experienceSummative assessmentQuality (philosophy)RhetoricIndividualismPsychologyOnline assessmentDistance educationPublic relationsSociologyPedagogySocial psychologyMathematics educationPolitical scienceFormative assessmentEpistemology

Abstract

fetched live from OpenAlex

When converting from a paper-based distance mode to an online mode of teaching, certain expectations arise that students may engage not only in the development of extended research activity but that the quality of discussion and thinking will change. With access to open-ended discussion within the online forum the opportunity is afforded to students to share ideas and in turn develop their shared knowledge, a facility denied to them when in the paper distance mode. However, in a recent study conducted in New Zealand, it was shown that despite having access to online forums students moving to an online platform refrained from participation in this social exchange. A possible explanation for this indifference was thought to be the students realising that the online exchange made no impact on their assessment. Hence, the collaborative rhetoric of Web 2.0 made little impact when the summative evaluation remained unchanged from previous paper-based assessment. This paper reports on the introduction of online learning at a private tertiary college in New Zealand and describes the response of students who found difficulty in reconciling a community of learners and openness within what was perceived as an evaluation that remained individualistic and competitive in nature.

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)0.041
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.656
GPT teacher head0.585
Teacher spread0.071 · 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 designObservational
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

Citations9
Published2011
Admission routes1
Has abstractyes

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