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Record W1646348287 · doi:10.26686/wgtn.17006608

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

2014· dissertation· en· W1646348287 on OpenAlexaff
Tabitha McKenzie

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsImmersion (Canada)
FundersMashhad University of Medical Sciences
KeywordsPaceMobile deviceIndigenousIndigenous languageNegotiationComputer scienceForeign languageMultimediaPsychologyPedagogyMathematics educationWorld Wide WebSociologyGeography

Abstract

fetched live from 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>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.328
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2014
Admission routes1
Has abstractyes

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