Collaborative information behavior in learning tasks: a study of engineering students
Notice bibliographique
Résumé
Collaborative information behaviour is an emerging area in information science that deals with the identification, seeking, searching, and use of information by two or more people to accomplish a task. This dissertation investigates the collaborative information behaviour of senior undergraduate engineering students working on group design-projects at a Canadian university. The dissertation presents a longitudinal research using a constructivist grounded theory methodology in two different but related studies undertaken in successive academic years. The main research method consisted of a web-based survey, bimonthly semi-structured interviews with eight students, and the project deliverables for six different project groups. Project deliverables included weekly reports that described group and project activities, and the projects' interim and final reports. The research results show that learning tasks associated with engineering design projects were information-intensive tasks; information seeking, searching, and use have been ongoing needed activities during the lifespan of these projects. There was found to be a strong relationship among learning task stages and phases, task complexity, and collaborative information behavior. Collaborative information behaviors occurred variably at different project stages and levels, and their nature were task-dependent. Students' perception of task complexity triggered collaborative seeking and use of a variety of information sources, with preferences for information from perceived subject-experts. It was also found, in many situations, when students' perceived task complexity increased, their information behavior tended to be more collaborative.The study highlighted the need for groups to construct and share a collaborative situation awareness in order to maintain and regulate their activities in information seeking and use; this shared awareness was enabled by students' interactions in their group meetings or their use of collaborative software tools for information sharing. Learners sought and created meaning from information through collaborative information synthesis over long intervals by prioritizing, judging relevance, and building connections of information. The research investigated collaborative information behavior in learning tasks through a detailed analysis of findings that resulted in a holistic conceptual framework illustrating the dynamic interplay of the components of task-based collaborative information behavior in learning tasks. Collaborative information behavior was conceptualized with details in its three distinct but interrelated dimensions: (1) learner's knowledge, (2) learners' activities and interactions, and (3) information objects; the representation of interdependence of these three dimensions confirmed the complexity of collaborative information behavior as a human behavior that cannot be investigated by focusing on a single dimension and eliminating the other ones.The dissertation presents original research that extends our conceptual understanding of students' collaborative information behavior in learning tasks and also provides more insights into how collaborative information behaviors are dynamically shaped by the characteristics of the learning task.
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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 | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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 ».