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Enregistrement W2665097438 · doi:10.13140/rg.2.2.13130.00963

Exploring undergraduate students' perceptions of factors influencing their engagement and alienation in higher education

2017· dissertation· en· W2665097438 sur OpenAlexaboutno aff
Samuel Asare

Notice bibliographique

RevueOtago University Research Archive (University of Otago) · 2017
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueHigher Education and Employability
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAlienationPerceptionPsychologyPedagogyMathematics educationMedical educationPolitical scienceMedicine

Résumé

récupéré en direct d'OpenAlex

Student engagement has been identified as having a positive influence on learning and retention. This has attracted much research on how to enhance engagement in higher education. Studies have considered the role of student motivation and various environmental factors that affect engagement. However, these studies are concentrated in Western countries including US, Canada, UK, Australia and New Zealand. The few done in Africa have been in South Africa. 
\n
\nDrawing on Mann’s (2001) framework of engagement and alienation, this study explores undergraduate students’ perceptions of factors influencing their engagement and alienation in a public university in Ghana. The study adopted a case study design underpinned by an interpretive approach to provide a broad and in-depth understanding of how student motivation interacts with factors relating to teachers, family and peers to produce engaged and alienated experiences. Three data sources were drawn upon in this study: survey, diary and interview. The survey included 469 Humanities students selected by quota sampling from main campus, city campus and distance learning across all year levels. Of the 469 students surveyed, 225 agreed to keep a diary of their learning experiences for two days and participate in a one-on-one interview. Purposive sampling was used to select 17 students for diaries and interviews by considering both male and females, year of study, mode of study (distance learning, city campus and main campus) as well as respondents’ availability for interviews. This ensured that data were collected from a wide range of perspectives. 
\nThe analysis was in two forms. First, survey data were analysed with Statistical Package for the Social Sciences (SPSS) to find percentages and means of the responses. In addition, ANOVA (Analysis of Variance) and t-tests were conducted to determine any differences among students’ perceptions at the time of the survey. In some instances, where there were differences, a post hoc test was conducted to determine which groups were different from each other. Second, data from diaries and interviews were analysed using the general inductive approach to develop themes relating to the objectives of the study. The analysis was guided by a framework that highlighted students reported engaged and alienated experiences.
\nThe study resulted in a new conceptual framework that brings the various parts of the findings together. This study suggested that students’ need for belonging, competence and autonomy spurred them on to invest more time and effort in their learning. However, autonomy and belonging had different influences depending on the year of study. First year students reported the highest level of influence compared with students of other year levels. Engagement was influenced by students’ desire to achieve goals: to be knowledgeable; for postgraduate study; and to gain a high-paying job. In addition, students reported engaged and alienated experiences resulting from four teacher factors: level of knowledge; teaching approaches; relationships with students; and support. Also, almost all students received support from their family and most of them thought that family support had a lot of influence on their engagement. Engagement was influenced by financial and social support as well as the monitoring of their academic performance by their parents. Interactions with peers influenced engagement in academic and social ways. For instance, students shared learning material such as textbooks, lecture notes and computers. Furthermore, students reported improved self-confidence and a better understanding of their subject by interacting with their peers in formal and informal contexts. Despite the positive influence of peers, a small number of students reported feeling pressured by their peers to spend most of their study time partying, and some members not contributing during group study.
\nThe findings add an alternative voice to the growing literature on student engagement by presenting data from a context that has not been explored in this way before. It has shown the usefulness of engagement and alienation as a framework to investigate students’ learning in higher education. The few existing studies that have applied the framework did not analyse data as has been done in this study. Thus, this study has provided new insights. In addition, the findings revealed that students have the desire to work hard to achieve their goals, but these desires will need positive contributions from the environment to achieve much results. 
\nSummarising, the implications of the findings include the need for higher education institutions to invest in teacher professional development and to seek ways to collaborate with families of students who may be struggling academically, to enhance their engagement.

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 candidatesÉtudes des sciences et des technologies
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 enseignants0,165
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,215
Tête enseignante GPT0,396
Écart entre enseignants0,180 · 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.

Devis d'étudeObservationnel
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

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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