MétaCan
Menu
Back to cohort
Record W4400077993 · doi:10.61838/kman.jrmde.3.2.6

Decision-Making Strategies in the Allocation of Educational Resources

2024· article· en· W4400077993 on OpenAlex
Susan Jafari, Sepehr Khajeh Naeeni, Nilofar Nouhi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Resource Management and Decision Engineering · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Reforms and Inequalities
Canadian institutionsLakehead UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsResource allocationComputer scienceManagement scienceOperations researchEconomicsEngineering

Abstract

fetched live from OpenAlex

This study investigates decision-making strategies in the allocation of educational resources, aiming to explore the diverse factors and criteria influencing resource allocation processes within educational institutions. By examining stakeholder involvement, criteria for allocation, types of resources allocated, and outcomes and impacts, the objective is to provide insights into effective resource management strategies that enhance educational quality and equity. A qualitative research approach was employed, utilizing semi-structured interviews with 17 participants directly involved in educational resource allocation. Theoretical saturation was achieved through in-depth analysis of interview data using NVivo software, identifying recurring themes and patterns related to decision-making strategies. Four main themes emerged from the data analysis: Stakeholder Involvement, Criteria for Allocation, Resource Types, and Outcomes and Impacts. Stakeholder Involvement highlighted the importance of community participation, administrative input, teacher feedback, student needs, and parental involvement in decision-making processes. Criteria for Allocation encompassed academic performance, equity considerations, funding availability, policy compliance, urgency of needs, long-term benefits, and short-term gains. Resource Types included financial, human, technological, physical, and informational resources, illustrating the multifaceted nature of resource allocation in education. Outcomes and Impacts focused on academic achievement, student well-being, teacher satisfaction, resource utilization efficiency, equity and inclusion, and sustainability of resources, emphasizing the broader implications of resource allocation decisions. The study underscores the complexity of decision-making in educational resource allocation and advocates for inclusive, transparent, and strategic approaches. By integrating diverse stakeholder perspectives and employing rigorous decision-making frameworks, educational institutions can optimize resource allocation to maximize educational outcomes and promote sustainability. Future research and practice should further explore the dynamic interplay of factors influencing resource allocation in different educational contexts to refine strategies for equitable and effective resource management.

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.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.012
GPT teacher head0.315
Teacher spread0.303 · 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