Book Review: Identity, Learning and Support in Virtual Environments, Languages and Education in Africa: A Comparative and Transdisciplinary Analysis, Shades of Globalization in Three Early Childhood Settings: Views from India, South Africa, and Canada
Notice bibliographique
Résumé
What do identity, persona and avatar mean in the context of learning environments?What does it mean to teach and learn within social virtual environments?These are the questions that frame Sharon Tettegah & Cynthia Calongne's book Identity, Learning and Support in Virtual Environments.In an increasingly digital and mediatised world, these questions continue to be central, and the authors of the essays and research pieces in this short volume address these questions in a variety of ways.There are other questions, though, that are overtly and tacitly woven through this book, and these questions and the answers posed or left hanging were perhaps as interesting and indicative of the state of our knowledge in this area as the more explicitly framed content of the book.Consequently, this review is itself framed around these and other central questions that connect the material of the book to issues and ideas which others might seek to explore, especially as these issues address the way that power, as manifested through identity, context and interaction, plays a role in the virtual lives of teachers and learners.It is perhaps because we have so many unanswered questions when it comes to the learning that takes place in virtual environments, that many of the chapters of this book offer contextual definitions and descriptions of what is meant when we talk about the 'virtual' in general, or in specific spaces such as Second Life.Kein (chapter 2) defines virtual environments; Perez and Calongne (chapters 5 and 9, respectively) define and describe multi-user virtual environments (MUVEs); while Whang, Taylor & Cash (chapter 4), Teoh (chapter 7) and Bell (chapter 10) each provide contextual descriptions of Second Life.Given multiple descriptions of Second Life, what emerges throughout Tettegah & Calongne's book is an anthropological snapshot of the ways in which the authors of this book (teachers, scholars, librarians and researchers) are themselves coming to understand the significant aspects of virtual worlds.This understanding is heavily oriented towards the ways that participation in virtual environments shapes identity.In framing the concept of identity, emphasis is placed on the 'fragmented' and 'reconstructed' nature of identity in a world increasingly defined by virtual interactions (p.33).Whang, Taylor & Cash, discuss, for example, how crossing 'the racial line' can be accomplished 'with just a few mouse clicks', while Kein poses a series of questions that complicate assumptions about straightforward links between new avatars and new identities: are my own or the avatars I encounter online alive?How can we know ourselves and the truth about the world when all we see is potentially virtual?What happens when fictional avatars transgress the borders between imagined and 'real' environments?(pp.14-15) As a provocation for dialogue and multiple answers, Kein's questions are an effective strategy and, in this spirit, I would add an additional question: How are notions of race, class, gender, sexuality, ability and other differences mobilised or muted through the creation and use of avatars in virtual environments?The authors in this volume are, interestingly, very silent on this question and, when moving from a focus on creation and description (as exemplified by most in this volume) to an emphasis on use, this question seems to be increasingly relevant, given that it is within the use, enactment and performance of created identities that discourses of power are most easily identified.For example, one study referenced in ScienceDaily suggests that simply appearing to be African American can negatively impact one's interactions in Second Life (Northwestern
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 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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,003 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,023 | 0,006 |
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 ».