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Record W2993149248 · doi:10.28945/4040

The Persistence of Anxiety Experienced by New Generation in Online Learning

2018· article· en· W2993149248 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

VenueInforming Science and IT Education Conference · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsConcordia University
Fundersnot available
KeywordsAnxietyPsychologyScale (ratio)Online learningThe InternetMedical educationHigher educationPoint (geometry)Face (sociological concept)Distance educationApplied psychologyMathematics educationMultimediaComputer scienceWorld Wide WebPolitical scienceSociologyMedicine

Abstract

fetched live from OpenAlex

Aim/Purpose: To investigate anxiety in online courses and its relationship with overall online courses satisfaction as it may vary with online courses experience. Background: Delivering online courses in higher education institutions continue to increase. Anxieties seem to be persistent. Although there are many technology and internet related anxieties studies, online courses anxieties are relatively scarce. The cause for this anxiety has not been resolved or addressed sufficiently. This study takes part in this quest. Methodology: A fully online course with not face to face interaction was used for the study. A survey methodology approach was used for the anxiety scale measurements. Over 1400 students participated in the survey. Contribution: Students taking online courses continue to be challenged with anxieties. Their experiences (number of courses taken) with online courses may influence their anxieties and satisfaction levels, but that has not been studies. We contribute to this body of literature. Findings: One third of students reported to continue to experience anxiety while taking their online courses. The effect of their anxieties on their satisfaction does not seem to be influenced by their online course experience. Recommendations for Practitioners: Focus on the various elements that may influence anxieties and satisfaction of students while taking courses. For IT designers, interface and point of interactions may be the aspect to pay attention to, while professors would need to consider course pedagogy and its interaction within the IT learning environment. Recommendation for Researchers: Anxiety in online learning should take front stage as it represents an underlying stream of influence on all research in the field. Further study of the effect of online course experience on satisfaction and anxiety is necessary. Impact on Society: Anxiety in learning has many detrimental effects that last a student’s career and personality over their entire life. The impact of reducing anxieties while online learning is significant and tangible especially that online learning is at its initial stages of an exponential growth and will change the world sooner than later. Future Research: Pedagogy for efficient and effective online courses to reduce anxieties and in-crease satisfaction.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
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 head0.054
GPT teacher head0.355
Teacher spread0.301 · 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