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Online Higher Education

2020· article· en· W3124855585 on OpenAlexaff
Hanan Duri, Dahabo Ibrahim

Bibliographic record

VenueJournal of Comparative & International Higher Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsYork University
Fundersnot available
KeywordsRefugeeOvercrowdingHigher educationEmpowermentEconomic growthPolitical sciencePublic relationsSociologyChinaIndependence (probability theory)

Abstract

fetched live from OpenAlex

Online higher education has been a critical element in the lives of refugees trying to create a better future for their families and community (Kekwaletswe 2007; Crea and McFarland 2015; Giles 2018). Education programs in refugee and humanitarian contexts have been inadequate for a variety of reasons such as: a lack of resources and poor infrastructure, shortage of trained teachers, overcrowding, lack of funding from national governments and NGOs (LWF, 2015). In the last 10 years we have seen an influx of educational institutions and Northern-based universities partnering with development organizations to provide online higher education to bridge the gaps in quality education (Kirk 2006). There have been studies that speak to the potential of higher education for refugees from the perspective of development organizations. However, little has been said from the perspective of refugees themselves about their educational experiences in their local contexts. There are major differences in how men and women experience online education that deserves attention. Higher education equips refugees with the practical skills and qualifications to obtain employment opportunities within the camps or in their home countries should they return. It also enables them to think critically about their lives in a meaningful way. For women the impact goes even further, as it creates a path towards self-sufficiency, independence and empowerment (i.e., economically, politically and socially) (Kabeer, 1999). The gendered nature of access to technology has had significant impacts in the rates of participation (Kekwaletswe, 2007). Furthermore, it is also a pathway for creating female refugee scholars which is an area that is under-researched. Much of the writing on refugees by refugees themselves and development practitioners have been primarily male-dominated. The purpose of this article is to give the opportunity to heighten the female refugee scholar voice from the lens of a recent graduate of the Educational Studies program provided by York University under the Borderless Higher Education (BHER) project online higher education model. The purpose of this article is to explore the empowering potential of BHER’s online teacher education program that has allowed women (and men) to be critical, thoughtful scholars speaking about their experiences, on their own terms. BHER is a development project that seeks to build the capacity of untrained refugee teachers in the Dadaab refugee camps by delivering gender-sensitive teaching and learning skills that can build the capacity of future leaders and teachers in their communities. The findings shared in this article are from the direct experiences of Dahabo Ibrahim, who is a recent graduate of the Educational Studies program. It will highlight the unique experiences of women in Dadaab pursuing tertiary education, through their own lens. The value of women authoring their own lives, and what is meaningful to them in a patriarchal society and development industry. Our aim is to ultimately examine how female scholarship shifts the way we think about refugee education in the humanitarian context.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.084
GPT teacher head0.443
Teacher spread0.359 · 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.

Study designNot applicable
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

Citations2
Published2020
Admission routes1
Has abstractyes

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