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Record W4281690441 · doi:10.24059/olj.v26i2.3056

Facilitating Cognitive Presence Online: Perception and Design

2022· article· en· W4281690441 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

VenueOnline Learning · 2022
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsPerceptionAsynchronous communicationPsychologyCognitionMathematics educationOnline learningMedical educationFocus groupLesson planComputer scienceMedicineMultimedia

Abstract

fetched live from OpenAlex

In this paper, we focus on perceived cognitive presence (CP) in three sections of an intermediate level English for Academic Purposes (EAP) course facilitated online. The researchers intend to demonstrate how lesson design, scaffolding, and a blend of synchronous and asynchronous delivery create perceived CP. Data was collected from the CoI survey (Arbaugh et al., 2008), administered to both student and instructor participants, as well as an analysis of the lesson plans. Focusing on the survey questions related to the four phases of CP, researchers assigned numerical values to responses reported by participants (cf. Arbaugh et al., 2008). Student participants consistently reported lower levels of CP than teachers in the triggering event and exploration phases. Student participants in two of the three sections also reported lower levels of the integration and resolution phases than the teacher, but students in the third section reported higher levels. Moreover, student-reported experiences of CP in all four phases, except the exploration phase, increased with each iteration of the lesson plan. In addition, we analyze the weekly lesson plans in relation to the four phases of CP. Results demonstrate the relationship between lesson plans and perceived CP and will help to inform best practices in online learning contexts.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.415
Teacher spread0.332 · 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