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Record W2091085606 · doi:10.1109/ipcc.2012.6408617

Merging territories part II - A new information design baccalaureate degree moves forward

2012· article· en· W2091085606 on OpenAlexaff
Glenn Ruhl, Brian Traynor

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsMount Royal University
Fundersnot available
KeywordsCurriculumProcess (computing)Computer scienceDegree programFocus (optics)Degree (music)ManifestoMedical educationStudent engagementMathematics educationEngineering managementPedagogyPsychologyEngineeringPolitical science

Abstract

fetched live from OpenAlex

This paper reflects on the successful implementation of a new degree program and the experience of the first cohort of student graduates. The strategies and decisions made to shape our Information Design degree are discussed. With an underlying focus on user-centric design processes, a number of courses were structured with an inquiry-based teaching philosophy. The collaborative investment in the design of curriculum and course content was deliberate and adjusted in an iterative manner similar to the design processes taught. Two years into the program, as demand far outstripped spots available, an intake interview process was established. The pros and cons of this process are outlined. The major benefit appears to be the alignment of student expectations with program content. A desire at the launch of the program was to facilitate student support initiatives. Some data on student engagement are presented to assess how students feel about the communication baccalaureate degree. A student-written manifesto highlights the attributes and desires of our first graduating cohort.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.006
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 head0.041
GPT teacher head0.264
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreMethods

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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