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Enregistrement W4221074433 · doi:10.21125/inted.2022.1560

ZOOM INTERACTIONS WITH GRADUATE STUDENTS

2022· article· en· W4221074433 sur OpenAlexaboutno aff
Marie J. Myers

Notice bibliographique

RevueINTED proceedings · 2022
Typearticle
Langueen
DomainePsychology
ThématiqueInnovative Teaching and Learning Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésZoomComputer scienceMultimediaGraduate studentsHuman–computer interactionMedical educationEngineeringMedicine

Résumé

récupéré en direct d'OpenAlex

Directing graduate students via zoom has brought about new insights into interactions for learning. The meetings consisted mainly of consultations regarding the students’ research for their Master’s theses or Ph.D. dissertations. The problem is that our ways of interacting on-line change compared to using our face-to-face habits. The study conducted was qualitative (Lincoln & Guba, 1985; Patton, 2017) so as to capture fine details for in-depth analyses. We report on the analysis of instructor’s notes of six case studies including two doctoral students and four at the master’s level. Among these students, three were Canadians and three were international students. These students had little or no exposure to in-person class time, as one of them did not at all, a second one only recently joined classes but as a teaching assistant, and the third one had completed her course work in person before COVID impositions. We analyzed strategies used to make dialogue more comprehensible, both through collaborative effort and in the use of individual utterances. The findings included differences based on the length of the supervision of a given student and hence familiarity with a student’s work, student’s personality as well as a number of other factors. Due to limited personal contact, gestures and eye movement being less obvious, at times, there were repairs required due to closeness to communication failure or rather guardedness in preventing miscommunication. Supervising international students required a lot more tact and cultural. For instance, time was needed to free these students from conventions of politeness attached to their cultures and to get used to Canadian academic culture. In contrast, when working with students from Canadian contexts their directness enabled more time on task during the allotted scheduled zoom meetings. However the enthusiasm, that could be somewhat qualified as exuberance, displayed by the latter group required some gentle moderating and refocusing of efforts on more tangible aspects, narrowing down their thinking and having them concentrate more on achievable outcomes. It appeared that subtleties that would have faded with cross-over dialogue in a face-to-face context, were more easily identified and picked upon as if on-line interactions took on a more linear characteristic. Full attention was drawn to each person’s utterance and hence reactions were sometimes less direct, showing however that more was taken in. In addition, there was a need to create a positive climate by developing a unique social context suited to each participant. Comprehensibility was also augmented by providing examples and definitions. Ideas were discussed, even personal professional examples given, however there was a professional line that never got crossed during meetings. Strategies on the part of the supervisor and the students helped enhance comprehensibility, they led however to different outcomes. Over time the socializing aspects continued to foster open lines of communication with few if any controversies, in fact understanding was greatly improved and as well a certain closeness developed. The initial seriousness to enhance comprehensibility was quickly replaced by a more congenial atmosphere in a meeting of minds (Olson, 2005).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,023
Score d'incertitude au seuil0,077

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,010
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,002
Science ouverte0,0010,005
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0230,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,090
Tête enseignante GPT0,425
Écart entre enseignants0,335 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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