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Record W3183910207 · doi:10.4995/head21.2021.12710

A case study on student perception of online lecturing

2021· article· en· W3183910207 on OpenAlexaff
Domenik Wolff-Boenisch

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsBentley (Canada)
Fundersnot available
KeywordsBachelorAsynchronous communicationUnit (ring theory)Mathematics educationOnline discussionPsychologyPerceptionPandemicMedical educationCoronavirus disease 2019 (COVID-19)Computer scienceMedicineWorld Wide WebPolitical scienceTelecommunications

Abstract

fetched live from OpenAlex

This case study looks at implications of transitioning live to recorded lectures, a subject that has acquired an acute importance given COVID19 and the unexpected need to move lectures online. Over a period of six years, from 2015 to 2020, a questionnaire was handed out at the end of a ‘unit’ on environmental geoscience; a ‘unit’ at Australian universities represents a ‘course’ in the European and American tertiary system. This is a 2nd semester, 3rd year core unit of an Applied Geology course meaning that (most of) the polled students were about to acquire a bachelor of science finishing their undergraduate studies. The students were asked multiple questions related to iLectures and their attitude towards this asynchronous content delivery approach as integral part of a flipped classroom. Provided that such a STEM unit with 40-120 students can be deemed representative of the wider student community, the findings indicate that students in general have come to terms with online lectures, way before COVID19 gave them no other choice. Acceptance rates for iLectures were over 50 % across all years, except for 2020, a clear indication that COVID19 marred the online experience, probably due to oversaturation and isolation. The majority of the students saw benefits in this asynchronous lecturing approach, irrespective of whether the rationale behind it had been explained in detail. Despite seeing benefits of the flipped classroom and recorded lectures, one out of three students preferred live lectures. This number has increased after COVID19 to 40 %, yet another sign of the negative impact of the pandemic on online lecturing. This inference is unrelated to the quality of the recordings which was deemed high. Other than the conspicuous pandemic effect, the data show enough scatter to rule out any sustained trend of student attitudes across the years. This demonstrates the heterogeneous demographics of the students taking this unit. Finally, the importance of meaningful extended lecture notes to complement the recordings is highlighted.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0050.003
Open science0.0020.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.048
GPT teacher head0.401
Teacher spread0.354 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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