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Record W2765802442 · doi:10.28945/3213

Prototyping a Learning Management System for Higher Education

2008· article· en· W2765802442 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInforming Science and IT Education Conference · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsConcordia University
Fundersnot available
KeywordsComputer scienceLearning ManagementSynchronous learningExperiential learningActive learning (machine learning)Educational technologyKnowledge managementLearning sciencesDomain (mathematical analysis)Robot learningBlended learningCollaborative learningHuman–computer interactionMultimediaCooperative learningArtificial intelligenceMathematics educationTeaching methodPsychology

Abstract

fetched live from OpenAlex

This document presents a five year development initiative that sought to implement a learning management system clearly differentiated from the CMS domain. The present article reports on our research work showing our effort towards a design of a true learning management system which entails pedagogical strategies embedded into the system design and the online learning environment. This is characterized by its highly interactive and collaborative learning tools. The ability of the system to measure student effort and performance via the summation of the learning objects usage clearly differentiate the concept of true online learning from the traditional distance learning via content management systems. Results from student usage of the learning management system provide some insight into learning, performance and behavior in online learning. Due to limitations only three learning objects were briefly analyzed to demonstrate their value to learning specifically and to the value of the system in general.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.045
GPT teacher head0.354
Teacher spread0.309 · 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