MétaCan
Menu
Back to cohort
Record W2626156988 · doi:10.19173/irrodl.v18i4.3012

Investigating the Perceptions, Use, and Impact of Open Textbooks: A survey of Post-Secondary Students in British Columbia

2017· article· en· W2626156988 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2017
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsKwantlen Polytechnic University
FundersKwantlen Polytechnic University
KeywordsOpen educational resourcesContext (archaeology)PsychologyOpen educationPerceptionPurchasingMedical educationMathematics educationPedagogyMarketingGeographyMedicineBusiness

Abstract

fetched live from OpenAlex

<p class="3">Unrelenting increases in the price of college textbooks have prompted the development and adoption of open textbooks, educational resources that are openly licensed and available to students free of cost. Although several studies have investigated U.S. students’ perceptions and use of open textbooks, there are no published studies of this kind in Canada. Similarly, although the negative impact of commercial textbook costs on student outcomes is well documented within the United States, it is unknown whether these trends generalize to the Canadian post-secondary context. The present study involves a survey of 320 post-secondary students in British Columbia enrolled in courses using an open textbook during the Spring 2015, Summer 2015, and Fall 2015 semesters. The survey investigates students’ textbook purchasing behaviours, including whether, where, and in what format(s) they purchase and access their required textbooks; the negative impact of textbook costs on their course enrolment, persistence, and performance; how they access and use their open textbook, including their format preferences and study habits; and their perceptions of their open textbook, including its quality and what features they like and dislike. The study’s strengths and limitations are discussed, along with recommendations for future research.</p>

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)0.013
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0040.005
Research integrity0.0000.001
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 head0.135
GPT teacher head0.479
Teacher spread0.344 · 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