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Record W2991412432 · doi:10.1051/shsconf/20197006002

Students Internet usage: psychological and pedagogical aspects

2019· article· en· W2991412432 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

VenueSHS Web of Conferences · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsConcordia University
Fundersnot available
KeywordsPsychologyCompetence (human resources)PersonalityValue (mathematics)Social psychologyHierarchySelf-awarenessThe InternetSelf-esteemMathematics educationComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The article presents the results of studying the psychological characteristics of students in connection with their digital behavior. Authors assume that digital behavior of students can be associated with the features of their self-awareness, self-appraisal and value-semantic sphere. In addition, the importance of individual components in the hierarchy of educational values is studied in connection with personality characteristics. The study involved 102 people - students specializing in the social sciences and humanities. As a result, the authors found that students’ digital behavior in terms of the online presence is associated with their self-awareness, self-appraisal and value-semantic sphere. Students who spend online less than three hours a day will be more active, extroverted and confident in their real life (offline) than those who spend more time online. The importance of individual components in the hierarchy of educational values is associated with the features of self-awareness, self-attitude. Self-appraisal, self-confidence, sense of independence and high appreciation of one’s individuality are associated with a greater intellectual need, a more active and conscious desire to improve their own competence.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.165
GPT teacher head0.416
Teacher spread0.251 · 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