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Enregistrement W1646348287 · doi:10.26686/wgtn.17006608

The Challenges and Opportunities of Using Mobile Devices to Attain Maori Language Proficiency

2014· dissertation· en· W1646348287 sur OpenAlexaff
Tabitha McKenzie

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineComputer Science
ThématiqueMobile Learning in Education
Établissements canadiensImmersion (Canada)
Organismes subventionnairesMashhad University of Medical Sciences
Mots-clésPaceMobile deviceIndigenousIndigenous languageNegotiationComputer scienceForeign languageMultimediaPsychologyPedagogyMathematics educationWorld Wide WebSociologyGeography

Résumé

récupéré en direct d'OpenAlex

<p>What are the effects of using mobile devices as part of teacher professional development focused on teaching and learning the Māori language for Māori immersion educational settings? Answers to this question are explored by researching the extent to which electronic devices could be an effective strategy to address the crisis of the continuing decline of the Māori language. Another issue explored in the research is whether learners make expected gains in language proficiency through the use of mobile devices in comparison to standard face-to-face methods of language instruction. An indigenous framework, Hei Korowai, was used to guide the research and ensure the practices used were culturally appropriate, particularly when entering into and negotiating the research project with participants. Kaupapa Māori and Māori centred approaches were also drawn on to gather data from semi-structured interviews, observations of mobile device use, online questionnaires, and Māori language proficiency tests results. Fifty two participants in total took part in the research, 46 from a PLD programme that used mobile devices and 6 from a separate PLD programme that used mainly face-to-face instruction. Electronic forms of second language acquisition could be advantageous for learners to access audio and video content on the move and at a time, pace and place convenient for them. The capacity to have literally a library’s worth of resources, functions and internet connectivity all in one tool and at the touch of a button could also be of particular significance to users. Conversely, participant attitudes about technology, varied needs for initial and on-going training in how to operate the electronic devices, and interaction preferences were challenges experienced with utilising the device as part of the language learning and teaching process. Videos viewed on the device could also be seen as one-way learning with a lack of spiritual connection and no opportunities for discussion about content, potentially causing road blocks for learners who need extra support. Face-to-face instruction was a preferred method for participants and the physical presence of the teacher highly valued to allow the space to pose and answer questions and receive an immediate response, which is not possible when learning via videos on a mobile device. However, there was acknowledgement of the complementary nature and value of utilising the mobile device followed by face-to-face meetings. Evidence suggests that Māori have been quick to adopt and adapt new technologies since the arrival of the early settlers to the shores of Aotearoa. Could technology be the panacea, the cure-all for the revitalisation of the Māori language, a tool that provides access to language, culture and identity to the multitudes? This research tests the hypotheses in the context of two items of modern technology, the iPod Touch® and the iPad®. The limitations of the research include potential bias in interpretation given the researcher’s insider position, the relatively small scale of the project, and the absence of a widely accepted theoretical framework for mobile learning. Critical questions that still remain are the implications of promoting ‘one Māori language’ for a large-scale programme and the risks in doing so for the preservation of tribal dialect and community identity. This study has, however, begun the conversation about the use of mobile devices in Māori medium educational settings, and it may contribute to an understanding of how to design technologies, media, and interactions to support learning within these settings towards innovative practices.</p>

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,846
Score d'incertitude au seuil0,439

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,046
Tête enseignante GPT0,328
Écart entre enseignants0,281 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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