Deploying the Affordances of Social Media
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Notice bibliographique
Résumé
Educational scholars have highlighted how social media platforms can be powerful sites of learning and organizing for social change. Research into informal social media learning has suggested that it promotes life-wide education, offering opportunities to learn through networks of connection, co-create knowledge with others, and foster self-directed learning. Studies of social media-based activism, for instance linked to movements like Black Lives Matter and Me Too, have demonstrated that it leads to the acquisition of subject-matter expertise, development of capabilities such as organizing for change, development of capacity for self-reflection, and personal transformation such as increased belief in one’s ability to shift political systems. However, universities are yet to fully leverage the affordances of social media for learning. Many institutions offer online classes, and many individual instructors utilize social media in their teaching. Yet, university learning has not transformed to a degree that is commensurate with the radical ways in which, in our post-digital era, learning has come to be transformed in society at large. In this context, a question to be asked is why universities, those institutions charged with educating individuals for personal and societal benefit, stake such minor claims in what has emerged as an integral learning space of our era. Universities’ slowness to embrace change means they are abdicating important spaces of learning, connection, and change to private corporations like X and Facebook, which lack both the skills and motivation to promote learning in the public interest. This presentation argues for a university-owned social media platform, which would use the media’s affordances to advance a post-classroom vision of learning; classes would continue to be part of the educational experience, but they would be decentred as the primary site of learning. Further, this presentation tells of the presenter’s work in exploring the possibility of prototyping such a platform within their own university. It builds on Networked Learning (NL) scholarship, specifically expanding Lee and Bligh’s (2023) expanded design framework for transformative NL, and drawing inductively on relevant NL literature to put forward six design principles for a university owned platform. The platform would connect formal and informal learning. It also would connect learners, staff, and faculty to each other and to the community outside the university. It would be comprised of three virtual spaces, dedicated to: (1) learning and organizing for social change; (2) student-initiated community building and learning; and (3) university-led news, events, and discussion.
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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 | 0,001 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découle