Patterns of Information Seeking among Israeli 12th Grade High School Students Writing Final Research Papers
Notice bibliographique
Résumé

 
 
 The purpose of the present study was to examine areas of interest and information seeking patterns of Israeli 12th graders who engaged in research work for their final research paper, an optional partial requirement for obtaining an official matriculation diploma. A detailed questionnaire, based on former studies was disseminated in high schools all over the country, yielding 200 usable questionnaires. Main findings: topping the list of chosen topics were the humanities (44%), followed by the sciences (33%), and the social sciences (24%). Considerable differences were found between girls and boys. Girls preferred topics from the social sciences (mainly sociology) and from the humanities (except history) while boys preferred scientific topics. Most respondents had a computer at home (93%) which was usually connected to the Internet (78%) and they had taken some computer course in the past (70%) although a considerable proportion, more girls than boys, did not make use of them. Gender was found to be significantly associated with the chosen field. Taking a computer course and use of home Internet were found to be associated with searching the Internet in the process of information seeking while working on the final paper. A home computer connected to the Internet was associated with the use of formal and informal information sources. The school library was the most-visited one followed by academic, public and home libraries. However, a considerable proportion of the respondents reported no or few visits only.
 
 
 
 
 Most respondents reported receiving only little or no advice and guidance regarding the library and database searching. When guidance was provided, it usually consisted of a single-session on a personal basis. Guidance given by a teacher was frequently face to face, with the student more likely to use an OPAC, while when given by a university teacher it was usually in front of a computer, followed by lesser use of OPACs. In summation, although most students were aware of powerful new IT tools, their use is not as prevalent as may be assumed, mainly due to poor or inadequate guidance.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,025 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».