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Record W4403070497 · doi:10.54337/nlc.v9.9006

Snapshots from the Lived World of Massive Open Online Courses (MOOCs)

2014· article· en· W4403070497 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

VenueProceedings of the International Conference on Networked Learning · 2014
Typearticle
Languageen
FieldComputer Science
TopicOnline Learning and Analytics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

This paper reports on preliminary findings of a phenomenological study examining students’ everyday experiences of learning in a Massive Open Online Course (MOOC). The current discourse surrounding MOOCs is powerful, with promises of an epochal shift in post-secondary education, unprecedented openness, democratic pedagogies, less hierarchical knowledge creation, and unimagined scalability: all of which require critical examination. But with a brief five-year history, research has yet to confirm or refute these bold claims rationalizing the popularity and efficacy of these big virtual learning environments and their disruptive, game-changing potential for education. A swift and timely “counterbalance to some of the more hyperbolic elements of current discourse” is needed, in particular, through providing accounts of the complex realities of learners’ actual experiences (Selwyn 2009). The study collected and analysed experiential moments recollected by “completers” while learning in a Massive Open Online Course. For the purposes of this study, a “completer” (Kizilcec, Piech & Schneider, 2013, April) was defined as a student who enrolled in at least one MOOC and in which they accomplished the majority of activities, assignments, quizzes and/or examinations set out by the curriculum. Data was generated via two main sources: written self-protocols (daily journals maintained by four adults engaged in a self-chosen MOOC) as well as in-depth phenomenological interviews with six MOOC completers recruited via snowball sampling. Our study revealed several surprising results. The MOOC completers consistently described a unique and powerful sphere of intimacy that developed for them with their MOOC instructor, most especially in the context of the pre-recorded instructor videos. Too, our findings seem to confirm Cormier’s (2009) conjecture that “eventedness”—the sense of specialness characteristic of other “big”, shared events like a rock concert or major sporting event—may uniquely distinguish MOOCs from other online learning experiences. The paper provides several rich, experiential “snapshots” or textual descriptions of learning moments and recollected events in a MOOC. Through phenomenological analysis of these lived experience descriptions, we show how the virtual learning landscapes afforded by these large-scale online environments may create unique conditions, situations, and relations of pedagogical effect and influence.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.848

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 science0.0050.001
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 head0.047
GPT teacher head0.305
Teacher spread0.258 · 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