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Record W331336985

New Solutions, New Barriers: Current Uses of the Web in Higher Education

2000· article· en· W331336985 on OpenAlexaboutno aff
Roxanne Ruzic

Bibliographic record

VenueAmerican Educational Research Association Annual Meeting · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Higher educationWorld Wide WebComputer scienceSubject (documents)Class (philosophy)Political science
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the use of network technologies in higher education and explores how adaptable network tools are for particular learning and teaching environments. The study included a review of the literature describing World Wide Web use to support learning in postsecondary courses in the United States and Canada. Additionally, interviews were conducted with 16 students in three classes at two institutions in which Web technology was used, as well as with four instructors. Data examined included student profiles, class topic, network tool, pedagogical tool, context, adaptable system components, educational purpose, and evaluation. The study found Web-based learning at all levels (undergraduate, graduate, professional) and in many different kinds of institutions, with the majority of courses concentrated in scientific and technical subject areas, which do not include many students with identified special needs. Instructors most often use the Web to enhance communication with students; to provide links to outside resources; and to post course information. Teachers struggle to meet students' differing needs because development of Web-based material is so time-consuming. Appended are a list of the literature reviewed, questions applied to the literature review, and interview protocols. (Contains 35 references.) (SM) Reproductions supplied by EDRS are the best that can be made from the original document. New Solutions, New Barriers: Current Uses of the Web in Higher Education

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.066
GPT teacher head0.433
Teacher spread0.367 · 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.

Study designNot applicable
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

Citations3
Published2000
Admission routes1
Has abstractyes

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