Digital Literacy Practices and Learning at Home for Children of First Generation Newcomers in Canada
Notice bibliographique
Résumé
Contemporary childhood exists in a rapidly changing literacy context in the digital age, where digital devices and technology are increasingly used at home and in school. This qualitative study explored newcomer children’s digital practices, as reported by their parents, and parents’ perspectives of their children’s digital usage at home. The COVID-19 pandemic and shifts to online remote learning have also impacted children’s digital literacy practices, and this study also provides understanding of culturally and linguistically diverse children’s digital literacy practices at home during this pandemic era. Theoretically, this research is framed by contemporary literacy studies, specifically, multiliteracies and new literacy studies, which understand literacy as everyday multimodal and multilingual social practices, across multimedia. I drew on Kress’s (1997, 2005) concept of multimodality in the digital context and Green’s (1988, 2012) three-dimensional literacy model as my conceptual frameworks to help me understand and interpret my data on children’s digital practices and how parents understand their children’s digital literacy practices at home. My study is a qualitative case study using ethnographically informed approaches and small stories to present the findings. The data collection tools I used were an online survey and semistructured interviews with first-generation newcomer parents to answer my research questions. I received 39 responses to the online survey and interviewed 4 first-generation newcomer parents. In this dissertation, I focus on the interview data with 3 of the newcomer parents. The findings indicate that the three children’s digital practices at home are situated in a contemporary context where digital devices and digital environments are essential for their social networking, family relationship building, learning, entertainment, creation activities, and recording life moments through photos and videos. My research shows that children are not only consumers of digital texts but also active producers. The three children have been exposed to social media influencers, particularly on the YouTube platform. Today, children are not always the only literacy learners at home and the parents are not always the literacy knowledge holders, as was typical in literacy environments historically. Instead, within the digital multimodal literacy context, children may know more than their parents and assist their parents’ technology usage at home. In terms of parents’ perspectives towards their children’s digital practices at home, the three participating parents tended to focus on their children’s operational skills with digital devices in the interviews and sometimes provided examples of how their children engaged in digital activities by following conventions and rules. However, the three parents did not share much about how their children use critical thinking and analysis in their digital practices. In addition, the parents described the difficulties of balancing their children’s digital usage at home in this contemporary era. The insights gained from my study have the potential to provide valuable information for newcomer parents, educators, and policymakers to understand newcomer children’s home digital literacy experiences. As well, this information may ease the anxieties of newcomer parents about parental management of digital practices and digital literacy. Educators and policymakers will be able to use this study to recognize the ways that newcomer children use digital tools in their homes as they consider curriculum, pedagogy, and policy for newcomer children.
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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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,013 | 0,003 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».