Notice bibliographique
Résumé
Alarming numbers published in academia and in the media produce the perception that plagiarism is a widespread and urgent problem (e.g., Briggs, 2009). This project explores the potential extent of accidental plagiarism by assessing Canadian distance education students’ knowledge of the concept. Four pieces of evidence are analyzed: (1) students’ attempts to select plagiarised passages from a number of choices; (2) paraphrases these students produced; (3) results from a simple exercise aiming to improve plagiarism understanding; (4) the types of errors made in identifying and writing paraphrases. \n \nTwo different groups of university students were asked to recognize plagiarised work in which wording from the original had been changed in various ways. Students from the online Psychology course received feedback on their recognition attempts and then were asked to paraphrase a passage. The prediction is that with feedback and practice, this group should improve over time. A second group of more diverse students was tested to see if the results generalize. For the second group, undergraduate and graduate students were selected from throughout the university rather than from a single course. All four multiple choice scenarios included a proper citation. \n \nThis study found that almost half of the students in a third-year psychology course did not recognize plagiarised material consistently. The evidence does not support the prediction that student scores would improve over time given feedback and practice, as more students got the first question correct than the fourth question. Furthermore, the majority of these students did not correctly paraphrase a passage they were asked to write in their own words, even after they had received feedback on their recognition quizzes. This suggests more extensive instruction is needed. \n \nUndergraduate and graduate students from throughout the university also failed to recognize many plagiarised passages that included word strings, reversals, substitutions, additions, and deletions. The poor ability of students to identify plagiarised passages may imply poor understanding of the concept (Hochstein et al., 2008). Therefore, when these students write their course essays, they may not be able to recognize their own tendency toward plagiarism and thus engage in it accidentally. \n \nRather than perceiving plagiarism as a type of cheating, it may be more appropriate to identify it, particularly poor paraphrasing, as a weakness in skills. The remedy for committing plagiarism should be sending students to tutorials or other methods of learning to read, write, and reference at the level required for the discipline (Briggs, 2009). \n \nReferences available from author.
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 | 0,001 | 0,000 |
| 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 | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 tête enseignante, 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 ».