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Record W2604250468 · doi:10.24908/pceea.v0i0.6443

Effectiveness of blended learning for an energy balance course

2017· article· en· W2604250468 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2017
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsMcMaster University
FundersUniversity of WaterlooMcMaster University
KeywordsAttendanceMathematics educationCourse (navigation)Computer sciencePaceClass (philosophy)ScheduleRetrainingMultimediaPsychologyEngineeringPhysics

Abstract

fetched live from OpenAlex

The effectiveness of on-line modules in a fundamental chemical engineering course is examined. An undergraduate second-year course on vapour-liquid equilibrium and energy balances is augmented by six onlinemodules. Each module consists of supplementary lecture material for the students in the form of screencasts and interactive simulations followed by on-line quizzing on the fundamental aspects of the content. The quizzes of three of the six modules count for a small percentage of the final course grade (2% each), whereas the quizzes of the other three are offered only for self-assessment. The primer mode of instruction is still “traditional” face-toface. Access to the on-line resources is monitored andrecorded. The major question that is being examined is whether students value the on-line resources and access them to enhance or clarify their learning, or simply try only the on-line “mandatory”, for grade, components. Correlations between students GPA, achievement in the course, attendance to class and on-line module access and quiz achievement are also investigated. Student qualitative feedback on the effectiveness and value of the on-line material is also collected.Students in general value on-line resources: they let students work at their own pace, on their own schedule, and provide immediate feedback. This work assesses the degree to which such resources provide added value to a course that is phenomenologically outside the corecurriculum (the course is not taught to chemical engineer students) and within a busy study term

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.005
GPT teacher head0.227
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