Examining of the Emotional Mood about Their Online Education of First-Year Students Beginning Their University Education with Distance Education Because of COVID-19
Notice bibliographique
Résumé
The Covid-19 pandemic continues to be negatively effective in many areas of life. It has also affected the face-to-face education of 2020 fall semester. In Turkey, Students who have recently entered the university in 2020 started their undergraduate education with distance education like upper grade students. However, the fact that the first graders fell into the distance education system before experiencing university life and without knowing their teachers and friends created different emotional mood. The aim of this study is to analyze the emotional mood of students who have just get into university and have to start their undergraduate education with distance education. Exploratory sequential mixed method is used as a method of this study. Phenomenology method is used the first stage of the method and the survey method is used as the second stage of the method. A total of 18 fresh students (12 female and 6 male) in the departments of Faculty of Education and Faculty of Sport Sciences of Mus Alparslan University were the sample group of the qualitative stage. And 141 students (87 female and 54 male) were the sample of the quantitative stage. As a result of the qualitative analysis, the emotional moods of the students were grouped under four sub-themes: emotion of shock, unfamiliarity with the system, emotion of curiosity and anxiety for the future. First-year students stated that they experienced feelings of shock such as sadness and anxiety when they learned that they would start university with distance education instead of face-to-face education. The students stated that they wondered about the method of teaching the lessons, whether the lessons would be efficient, how the exams would take place, that they were unfamiliar with the system, and that they were worried about the future due to all these uncertainties. According to the analyzes obtained from the survey, it is understood from the answers that the 141 participant students experienced emotional states similar to the results obtained in qualitative findings at a rate of 90% and above. Only the rate of students experiencing an emotion of shock was 64.5% and the rate of experiencing future anxiety was 85.8%. As a result, it was understood from the analyses that qualitative and quantitative results were parallel to each other.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».