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Record W2116083008 · doi:10.19173/irrodl.v10i2.595

Research Insights from a Decade of Campus-Wide Implementation of Web-Supported Academic Instruction at Tel Aviv University

2009· article· en· W2116083008 on OpenAlexvenueno aff
Rafi Nachmias, Judith Ram

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsTel avivScope (computer science)Diffusion of innovationsComputer sciencePaceVirtual campusProcess (computing)Distance educationInformation and Communications TechnologyHigher educationMathematics educationWorld Wide WebSociologyPedagogyLibrary sciencePsychologyPolitical science

Abstract

fetched live from OpenAlex

This paper describes the scope and outcomes of Virtual TAU, a campus-wide project that aims to integrate information and communication technologies into the academic instruction at Tel Aviv University (TAU). It provides data, insights, and conclusions drawn from various research and evaluation studies that were conducted at the university during the last decade. The paper presents its material on three main levels: (a) the institutional level, in which we describe the scope and pace of the process of diffusing the Web as an innovation into the university’s instruction, and how this diffusion compares to classical diffusion models; (b) the pedagogical level, in which we present some of the innovative pedagogical practices developed and implemented as well as the current state of Web usage among both the university’s teachers and students; and (c) the costs and benefits of the integration of Web-supported academic instruction, where we apply a newly-developed cost-effectiveness model to Virtual TAU courses.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.513
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.080
GPT teacher head0.482
Teacher spread0.402 · 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 teacher head, 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

Citations22
Published2009
Admission routes1
Has abstractyes

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