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Enregistrement W2517858966 · doi:10.21914/anziamj.v57i0.10435

Preparing non-traditional students for engineering degrees

2016· article· en· W2517858966 sur OpenAlex

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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
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

RevueANZIAM Journal · 2016
Typearticle
Langueen
DomaineMathematics
ThématiqueMathematics Education and Programs
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBachelorGovernment (linguistics)Economic shortageEngineering educationMathematicsMathematics educationEngineeringPolitical scienceEngineering management

Résumé

récupéré en direct d'OpenAlex

Engineering employment in Australia is cyclic in nature. Australian Government reports indicate that in the past five years there has been a threefold increase in the average number of candidates for engineering positions and a doubling in the proportion of vacancies filled. Until relatively recently there was a surplus in engineering positions; making engineering an attractive career option for students. Students tend to decide on their study direction based on the present economic climate, thus the present downturn in the resource sector and the reduction of engineering positions may result in another shortage of engineering graduates in five years' time. Previous shortages in qualified engineers, combined with the Australian Government's widening participation agenda, have attracted many non-traditional students to pursue engineering degrees. The number of non-traditional students entering the Bachelor of Engineering at Central Queensland University has more than doubled between 2011 and 2014. As engineering bachelor degrees have mathematics prerequisites or assumed knowledge, non-traditional students use enabling programmes to gain entry into these degrees at Central Queensland University. In this study we examine the effectiveness of enabling mathematics units preparing non-traditional students for a bachelor of engineering degree. References N. Adams, A. Dekkers, and S. Elliott. Supportive frameworks that increase mathematical knowledge and confidence in students enrolled in bridging mathematics courses. In Proc. Int. Conf. Mathematics, Science and Technology Education, Kruger National Park, South Africa, 2012. University of South Africa. http://hdl.cqu.edu.au/10018/928333. N. Adams and C. Hayes. Does teaching with a tablet pc enhance the teaching experience and provide greater flexibility. In Australasian Tablets in Education Conference. Monash University, Dec. 2009. http://hdl.cqu.edu.au/10018/917340. N. M. Adams, C. J. Hayes, S. Elliott, A. J. Dekkers, D. F. Johnston, and R. Dodd. Transformative learning: Increasing the confidence of enabling mathematics students. Int. J. Sci. Math. Tech. Learn. 21(2-3):19–29, 2015. http://ijlsmtl.cgpublisher.com/product/pub.266/prod.86. J. A. Athanasou and I. Lamprianou. A teacher's guide to assessment. Sense Publishers, 2002. https://www.sensepublishers.com/catalogs/bookseries/other-books/a-teachers-guide-to-educational-assessment/ Queensland Study Authority. Mathematics B senior syllabus, 2014. https://www.qcaa.qld.edu.au/downloads/senior/snr_maths_b_08_syll.pdf. W. Binney and C. Martin. How do rural students choose their higher education institutions? Two regional Australian cases. J. Institut. Res. Austral. 6:74–80, 1997. http://www.aair.org.au/articles/volume-6-no-2/6-2-how-do-rural-students-choose-their-higher-education-institutions-two-regional-australian-cases M. Brueckner, A. Durey, R. Mayes, and C. Pforr. The mining boom and Western Australia's changing landscape: Towards sustainability or business as usual? Rural Society, 22(2):111–124, 2013. doi:10.5172/rsj.2013.22.2.111. Central Queensland University, Australia. Student demographics. CQUniversity Intranet, 2015. G. E. Davis and M. A. McGowen. Formative feedback and mindful teaching of undergraduate mathematics. In Proc. 30th Conf. Int. Group Psychology of Mathematics Education, 241, 2006. http://www.cees.mak.ac.ug/sites/default/files/ED496931.pdf. Department of Employment. Labour market information portal, 2015. http://lmip.gov.au/default.aspx?LMIP. S. Doyle. STEPS: Celebrating 20 Years 1986–2006. Technical Report, Central Queensland University, 2006. http://hdl.cqu.edu.au/10018/1013477 T. Drewes and C. Michael. How do students choose a university? An analysis of applications to universities in Ontario, Canada. Res. High. Edu., 47(7):781–800, 2006. doi:10.1007/s11162-006-9015-6. D. Dunning, C. Heath, and J. M. Suls. Flawed self-assessment implications for health, education, and the workplace. Psychol. Sci. Pub. Interest, 5(3):69–106, 2004. doi:10.1111/j.1529-1006.2004.00018.x. Engineers Australia. Inquiry into the shortage of engineering and related employment skills. Technical Report, Senate Education Employment and Workplace Relations References Committee, 2012. https://www.engineersaustralia.org.au/sites/default/files/shado/Representation/Government%20Submissions/2012/engineers_australia_submission_to_senate_skills_shortage_inquiry_-_march_2012.pdf. Australian Government. Budget, 2015. http://www.budget.gov.au/2015-16/index.htm. J. Hattie. Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge, 2008. doi:10.4324/9780203887332. Labour Market Research, and Analysis Branch, Department of Employment. Labour market reserch–-engineering professions. Technical Report, 2015 https://docs.employment.gov.au/system/files/doc/other/ausengineeringprofessions.pdf. G. S. May and D. E. Chubin. A retrospective on undergraduate engineering success for underrepresented minority students. J. Engineer. Edu., 92(1):27–39, 2003. doi:10.1002/j.2168-9830.2003.tb00735.x. B. McDonald and D. Boud. The impact of self-assessment on achievement: The effects of self-assessment training on performance in external examinations. Assess. Edu.: Principles, Policy, Practice, 10(2):209–220, 2003. doi:10.1080/0969594032000121289. G. A. Miller. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychol. Rev. 101(2):343, 1994. doi:10.1037/0033-295x.101.2.343. A. Porter and S. Denny. Building leadership capacity for development and sharing of mathematics learning resources across disciplines and universities. Technical Report, 2013. http://www.olt.gov.au/project-building-leadership-capacity-uow-2007. D. Robson, W. Abell, and T. Boustead. Scaffolding for learning equation solving. In Crossing divides. Proc. 32nd Ann. Conf. Mathematics Education Research Group of Australasia. Palmerston North, NZ, 2009. http://www.merga.net.au/node/38?year=2009. TechSmith Corporation. Camtasia studio version 8.6.0, 2015. https://www.techsmith.com. V. Validakis. Australia entering phase three of mining boom, 75,000 jobs to be cut. Australian Mining, July 2014. https://australianmining.com.au/news/australia-entering-phase-three-of-mining-boom-75000-jobs-to-be-cut-2/. J. J. van Merrienboer and J. Sweller. Cognitive load theory and complex learning: Recent developments and future directions. Edu. Psychol. Rev. 17(2):147–177, 2005. doi:10.1007/s10648-005-3951-0.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,497
Score d'incertitude au seuil0,313

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,103
Tête enseignante GPT0,367
Écart entre enseignants0,263 · 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