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Record W1681414377 · doi:10.19173/irrodl.v9i2.424

A Contribution to the Hellenic Open University: Evaluation of the pedagogical practices and the use of ICT on distance education

2008· article· en· W1681414377 on OpenAlexvenueno aff
Gerasimos Koustourakis, Chris Panagiotakopoulos, Dimitris Vergidis

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)Information and Communications TechnologyDistance educationICTSPedagogyMathematics educationSociologyOpen universityHigher educationComputer sciencePsychologyPolitical scienceEngineeringWorld Wide Web

Abstract

fetched live from OpenAlex

This study examines a) the methods used to structure the pedagogy necessary to underpin distance education delivery used by the Hellenic Open University (HOU); b) the adoption of pedagogical and epistemological conceptual systems HOU uses for the development of its pedagogical practices; and c) the role of information and communication technology (ICT), and the degree of ICTs incorporation into distance education delivery at HOU. This study shows that: a) in terms of providing rigorous course contents, strong framing exists between HOU’s various learning modules; b) in terms of pedagogical practices, there is a strong hierarchical relationship and framing between HOU’s academic staff and tutors, while conversely, framing is weaker between its tutors and students; c) in terms of ICT usage HOU, in general, uses technology for administration, while conversely, and depending on the program of study, it currently only has limited use for student learning.

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)0.022
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0040.004
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.411
GPT teacher head0.552
Teacher spread0.140 · 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 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

Citations32
Published2008
Admission routes1
Has abstractyes

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