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Record W2057845980 · doi:10.5539/ass.v8n14p37

Transcending the Limits of Classrooms: Expanding Educational Horizons through Intelligent Tutoring

2012· article· en· W2057845980 on OpenAlexvenueno aff
Nicholas McGuigan, Antonija Mitrović, Thomas Kern, Samantha Sin

Bibliographic record

VenueAsian Social Science · 2012
Typearticle
Languageen
FieldComputer Science
TopicIntelligent Tutoring Systems and Adaptive Learning
Canadian institutionsnot available
FundersMacquarie UniversityUniversity of Canterbury
KeywordsSession (web analytics)Computer scienceIntelligent tutoring systemValue (mathematics)Learning environmentMultimediaKnowledge managementMathematics educationPsychologyWorld Wide Web

Abstract

fetched live from OpenAlex

The notion of classroom-based University education is dramatically changing, education providers globally are adapting to the challenges and opportunities brought on by evolving technologies. A way of providing for this changing environment whilst maintaining a ‘human-like’ approach to education is the use of Intelligent Tutoring Systems (ITS). This study outlines the development and initial evaluation of an ITS designed specifically for capital investment decision-making (CID). The system tracks the student’s performance, and generates a model of the student’s knowledge, which is used to adapt the instructional session to the needs and abilities of each student providing individualised feedback. The ITS adds value to a traditional classroom-based tutoring approach by providing students with an enhanced problem-solving tool to be able to apply theoretical material in a ‘real-life’ simulated environment. The paper describes the ITS authoring environment, the creation of the tutoring system and a preliminary evaluation of academics’ perspectives of using the system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.919

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.055
GPT teacher head0.333
Teacher spread0.278 · 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 designTheoretical or conceptual
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

Citations0
Published2012
Admission routes1
Has abstractyes

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