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Enregistrement W1491049421 · doi:10.5539/hes.v5n4p56

Survey on the Assessment of the Current Actual Expenses Incurred by Students on the Meals and Accommodation within and around the Campuses: The Case of Tanzania Higher Education Students’ Loans Beneficiaries

2015· article· en· W1491049421 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

venuePublié dans une revue dont le pays d'attache est le Canada.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueHigher Education Studies · 2015
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueBusiness Strategies and Management Research
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Dar es Salaam
Mots-clésTanzaniaAllowance (engineering)AccommodationCost of livingHigher educationBusinessMarketingSocioeconomicsEconomic growthEconomicsPsychologyOperations management

Résumé

récupéré en direct d'OpenAlex

This Survey analyses the current actual expenses incurred by students on the meals and accommodation within and around the campuses. The study was geared towards achieving the following objectives: (i) to examine the current cost incurred by a students for meals In Campus, (ii) to examine the current cost incurred by a students for accommodation In Campus, (iii) to examine the current cost incurred by a students for meals Off Campus, (iv) to examine the current cost incurred by a students for accommodation Off Campus, (v) to identify the Institutional indicated Prices for both Meals and Accommodations There have been many complaints from various stakeholders concerning the current meals and accommodation allowance given, which was last revised in year 2010/2011. The allowances given was claimed to be low compared to the real cost of living which is very much affected by inflation. The fact was also supported by the Parliament during 2014/2015 budget session. Based on these complains, and the real market situation it becomes necessary for Higher Education Students’ Loans Board (HESLB) to conduct this survey. The survey was conducted in 13 regions in Tanzania, Dar es salaam, Arusha, Kilimanjaro, Tanga, Mtwara, Morogoro, Iringa, Mbeya, Dodoma, Tabora, Mwanza, Kagera, and Unguja, in which 70 universities and 105 cafeteria were visited. Data were collected from 1120 students’ respondents and 105 managers/owners of the cafeterias/hotels/kiosks. Data were analysed using SPSS computer software. The study concluded that students are willing to pay Tanzanian Shillings (Tshs.) 5,000 at minimum for breakfast, lunch and dinner and also a maximum of Tshs. 7,500. It was further shown that students prefer paying accommodation for both In Campus and Off Campus at the rate between Tshs. 300 and Tshs. 700 even though they actually pay between Tshs. 1,000 and Tshs. 1,700 Off Campus and between Tshs. 300 and Tshs. 1,000 for accommodation In Campus. Also 90% of students’ respondents revealed that Tshs. 7,500 given now as meals and accommodation allowance is not sufficient. It was also concluded that the institutional set prices for meals and accommodation have no any effect on the real price prevailing. Based on the results of the analysis the study recommended that HESLB should advise the Government to consider revising the allowances for meals (breakfast, lunch and dinner) at the students maximum preference which is Tshs. 7,500 plus accommodation cost which should be at Tshs. 2,500 (a maximum amount paid for accommodation Off Campus + associated costs such as water bills, electricity bills and security bills) the sum should be equal to Tshs. 10,000 which was the maximum amount preferred by more than 50% of the students’ respondents, that is Tshs. (7,500 + 1,700 + 800 = 10,000). Universities should administer and manage the cafeterias within the university so that they can control prices, quality as well as taste and preference of the students because these cafeterias can save a lot of students as they spend most of their time In Campus.

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.

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)0,005
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,457
Score d'incertitude au seuil0,776

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
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 Opus0,341
Tête enseignante GPT0,520
Écart entre enseignants0,179 · 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