MétaCan
Menu
Retour à la cohorte
Enregistrement W2890030143 · doi:10.25959/23240423

Understanding how tertiary-level academic institutions create entrepreneurial engineers

2017· dissertation· en· W2890030143 sur OpenAlexaboutno aff
Nko Fraser

Notice bibliographique

RevueOpen Access Repository (University of Tasmania) · 2017
Typedissertation
Langueen
DomaineEngineering
ThématiqueEngineering Education and Curriculum Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEntrepreneurshipTypologyMultidisciplinary approachEngineering educationHigher educationOrder (exchange)EngineeringPublic relationsPolitical scienceEngineering ethicsSociologyBusinessSocial scienceMechanical engineering

Résumé

récupéré en direct d'OpenAlex

World economies are demanding a new type of engineer ‚Äö- an Entrepreneurial Engineer ‚Äö- who possesses a multidisciplinary set of technical and entrepreneurial competencies. These new engineers are essential to the fostering of entrepreneurship, innovation, and technological enhancement within an economy. Given the importance of having entrepreneurial engineers, it is necessary for tertiary-level academic institutions to prepare their engineering students to undertake these roles. This is being done by offering entrepreneurship education to engineering students. Despite the recognition of the importance of having and creating Entrepreneurial Engineers, very little research has examined how tertiary-level academic institutions educate engineering students about entrepreneurship. The only exception was the Standish-Kuon and Rice (2002) study, which examined the approaches taken by six academic institutions in the United States to educate engineering undergraduates about entrepreneurship. The findings from this study resulted in the emergence of a typology which presented three models to which entrepreneurship initiatives could be categorised into, and ultimately the three models that academic institutions could follow to educate their engineering students about entrepreneurship. However, since the Standish-Kuon and Rice (2002) study was conducted, a number of developments in this area have occurred; including, for example, an evolution in entrepreneurship education approaches, a greater role played by external stakeholders and networks in the combination of engineering and entrepreneurship, and a greater presence of university-wide‚ÄövÑvp entrepreneurship education programmes. These developments necessitated a more contemporary investigation of the approaches used to educate engineering students about entrepreneurship in order to understand how educational institutions have responded to the changes that have occurred. The overall aim of this study was to investigate how tertiary-level academic institutions educate engineering students about entrepreneurship. The typology developed by Standish-Kuon and Rice (2002) was used as the theoretical framework to understand and categorise the entrepreneurship initiatives analysed. For this study, all entrepreneurship education initiatives for engineering undergraduates offered at academic institutions in Australia, Canada, New Zealand, the United Kingdom, and the United States were examined. The decision to investigate entrepreneurship initiatives for engineering students outside the United States was made because these countries are all developed economies which rely heavily on engineering, and no research similar to that of Standish-Kuon and Rice (2002) had previously been conducted. The underlying objective was to determine whether the Standish-Kuon and Rice (2002) typology was still representative of present-day entrepreneurship initiatives used to educate engineering undergraduates, or if the typology had to be updated to reflect the changes that have occurred in this area. This study used a mixed methods research methodology, with a multiphase sequential research design divided into three phases. Phase One was qualitative, with a desktop review performed on institution webpage descriptions of entrepreneurship initiatives for engineering undergraduates at 414 academic institutions in the United States. These initiatives were categorised according to the Standish-Kuon and Rice (2002) typology and changes were made where applicable. Phase Two was also qualitative, with a desktop review performed on institution webpage descriptions of entrepreneurship initiatives for engineering undergraduates at 13 institutions in Australia, 24 institutions in Canada, five institutions in New Zealand, and 36 institutions in the United Kingdom. These initiatives were categorised according to the typology identified during Phase One. Phase Three was quantitative, with data collected via an online questionnaire sent to engineering school administrators from 600 academic institutions in Australia, Canada, New Zealand, the United Kingdom, and the United States. Completed surveys were received from 126 of the 600 institutions, which represented a 21% response rate. The findings showed that the Standish-Kuon and Rice (2002) typology had to be updated and expanded to reflect present-day entrepreneurship initiatives for engineering students, proving that the typology was a valuable foundation for this research. Furthermore, the findings showed that today, a total of five models were used to categorise entrepreneurship initiatives for engineering undergraduates, and that academic institutions in the five countries use one (or in some cases more) of the five models to educate their engineering undergraduates about entrepreneurship. As a result, this thesis presents a new typology ‚Äö- the Entrepreneurial Engineering Education (EEE) typology ‚Äö- that is used to categorise present-day entrepreneurship initiatives for engineering students, in addition to collective information regarding entrepreneurship initiatives for engineering students. This research and its findings have implications for both theory and practice. From a theoretical perspective, the research contributes to gaining a more comprehensive understanding of how academic institutions use entrepreneurship to create Entrepreneurial Engineers, and presents the typology that describes how academic institutions are presently educating engineering students to be entrepreneurial. Furthermore, the research provides insight into the similarities and distinct differences that existed among the models of this typology. From a practical perspective, the findings show the models that academic institutions can use to create entrepreneurship initiatives for engineering students, and the models that represent the initiatives that are presently offered for engineering students. Furthermore, the findings provide insight into the models that are commonly used in specific countries.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,498
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,002
Science ouverte0,0030,000
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 Opus0,156
Tête enseignante GPT0,318
Écart entre enseignants0,162 · 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'étudeSans objet
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

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueOpen Access Repository (University of Tasmania)Même sujetEngineering Education and Curriculum DevelopmentTravaux en français237 207