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Enregistrement W105309090 · doi:10.12681/eadd/29215

Μεθοδολογία εκτίμησης μη τυπικών και μη πιστοποιημένων γνώσεων που αποκτώνται από προγράμματα μαθημάτων τριτοβάθμιας εκπαίδευσης

2013· dissertation· en· W105309090 sur OpenAlexaboutno aff
Ευαγγελία Κρασαδάκη

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueReflective Practices in Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCurriculumAccreditationAttendanceMedical educationCompetence (human resources)CreativityHigher educationPsychologyPedagogyEngineeringPolitical scienceMedicine

Résumé

récupéré en direct d'OpenAlex

This thesis examines non-accredited experience and knowledge or generic competencies/skills, which are developed during attendance of a university course and are not accredited by the respective diploma. Typical generic competencies/skills include: problem solving, teamworking, leadership, communication, organization and management, creativity and innovation, critical thinking, professionalism, use of information technology, etc. In the last thirty years there has been growing interest in generic competencies/skills, in that they are supplementary components of university studies and prerequisites for employment. In many developed countries, tertiary education curricula are being redesigned using a competency-based approach, with emphasis placed on both curriculum-related competencies and generic competencies/skills.Curricula are not being redesigned on the basis of standardized models. Each institution aims at different competencies, according to its priorities, which are associated with different approaches, needs, strategies, social and national priorities, etc. Moreover, there are considerable differences between the policies, methods and practices adopted for the enhancement and assessment of competencies. Universities have been implementing policies whose target is either to enhance and assess or solely to enhance competencies. Such policies include: writing-intensive courses or „communication across the curriculum‟ in the USA; courses for the enhancement of generic competencies/skills (e.g. communication) within general education curricula of US colleges; e-portfolios with free access for any interested party; assessment surveys for competencies acquired during university studies, highlighting the nation-wide annual survey for graduates in Australia GCE; curricula combining theoretical teaching with work-based learning, implemented by certain universities such as in Canada and USA, etc. At the same time, good practices applied for enhancing knowledge and generic competencies/skills of students are being applied, such as teamworking through jointly implemented projects (work team or virtual work team), class work done in micro teams, conversation groups, field assignments, portfolios, computer-based learning, peer tutoring of students, etc. However, bibliography shows that there is no formal, commonly accepted method for the assessment of competencies/skills. Therefore, certain researchers claim that the tutor should assess the gradual progress of each student individually. In this case, of course, many questions have been raised on whether teachers can actually carry out this procedure, considering that they spend only few hours with the students. According to Ferguson (2001), even at universities which have expanded their goals, it is not certain that students with successful results in their courses have actually acquired the competencies claimed by the universities. For this reason, Bath et al. (2004) agree that it is advisable to use students‟ perceptions to capture the achievements of education compared to traditional quantitative measurements.ixEngineering faculties as well as other faculties provide for the training of students in the subjects of their courses. However, in traditionally organized universities such as those in Greece, emphasis is placed mainly on the content of the courses, as evidenced in the curriculum, and as a result the competencies developed by students cannot be identified. Therefore, the primary goal is to translate each course or curriculum into terms of competencies or learning outcomes and learning objectives, to adopt training policies and practices and finally to assess the achievements of university studies. International literature and practice has shown that this shift requires a different approach to teaching and learning as well as to student assessment. Namely, students‟ competencies can be enhanced through student-centred learning methods, particularly when teaching abandons the usual lecture practice and turns to the active involvement of students in the learning process, and when assessment goes beyond formal examinations (summative assessment) to include formative assessment which can help enhance learning.The main objective of the thesis is to develop, on the one part, an original methodology for the assessment of generic competencies/skills of students and, on the other part, an integrated framework for enhancing and assessing both knowledge and generic competencies/skills. Such framework was used to redesign a traditional undergraduate engineering course. The said course was taught for three years in both traditional and pilot form, at the same time. Three out of five stages proposed in this framework refer to learning objectives, teaching and assessment, and are based on the principles of „constructive alignment‟ of Biggs (2003). Moreover, two stages were added for designing purposes: feedback from/to the teacher and testing of course design. Therefore, redesigning is divided in the following stages: learning objectives, teaching, assessment, feedback and testing.Transit from a traditionally taught course to a redesigned course required the addition of a preliminary stage of preparation for the teacher, which is not mandatory for courses already designed with a focus on competency enhancement.In particular, it is proposed to link the teacher‟s learning objectives to the learning outcomes specified by each university by breaking down the course into three components: (a) disciplinary content; (b) disciplinary competencies/skills or practical competencies/skills; and (c) generic competencies/skills. This is an adaption of the course decomposition into five components proposed by Bennett et al. (2000), for the needs of adapting the present approach to the Greek tertiary education context. Our proposal consists in reformulating the teacher‟s goals on a competency basis in a flexible manner, to allow for linking between objectives and any learning outcomes (competencies) as may be determined by a faculty, school or university. At this stage, due to lack of a specific framework of learning outcomes, we borrowed those suggested by ABET – Accreditation Board for Engineering and Technology.xIn addition, with the aim to enhance knowledge and competencies, it was attempted to abandon the usual practice of lecturing and to considerably reduce the interference of the researcher (acting as teacher), by using techniques for supporting the involvement, practical training and interaction of students inside and outside the classroom. Finally, a series of (mandatory and supplementary) measures are proposed at the assessment and feedback stage for the needs of enhancing and assessing knowledge and competencies/skills. Many of the measures proposed are treated as multi-criteria or multivariate issues. This approach allows for flexibility and adaptation to the specific interests of each teacher, faculty or school.The mandatory measures proposed at the assessment stage are tests of the performance and improvement of generic competencies/skills. In particular, it is proposed to statistically test students‟ performance in disciplinary content and practical skills related to the course. It is also proposed to apply a multi-criteria methodology for indirect self-evaluation of students‟ generic competencies/skills at semester start and end, combined with statistical testing. Statistical and multi-criteria techniques aim at testing the initial level of students‟ generic competencies/skills, which is reexamined at semester end, namely once the students have had the experience of practical training during a course. Comparison of the two levels helps establish whether the generic competencies/skills of students have improved, remained invariable or deteriorated, according to their own view of themselves. At the same time, the initial level is tested in order to highlight the students‟ weaknesses or strengths. The methodology provides a number of quantitative indices for the dimensions-criteria incorporated in the course by the teacher, which can help determine the change in the level of generic competencies/skills, the change in the importance of generic competencies/skills and the contribution of a course in the learning outcomes of a faculty/school.Furthermore, the course designing process includes a series of additional measures at assessment and feedback stages. More specifically, it involves peer-assessment, an educationally-beneficial assessment process. Peer-assessment is used in written and oral assignments, where students assess the work of their fellow students. The analysis of assessments through the use of multi-criteria techniques and clustering techniques results in the grouping of differently or similarly thinking assessors/students. Such results reveal the attitudes of students – in terms of the aspects examined – which may support the teacher‟s goals, namely to enhance specific generic competencies/skills through the course. It is also proposed to carry out a survey on the preference of educational techniques employed, to be used as feedback to the teacher. This topic is structured as a service provided (course), where students act as recipients/customers of this service. Therefore, it is proposed to use an approach based on a multivariate analysis, in particular the conjoint analysis. The results of the analysis point to the educational techniques which are most preferred by students for enhancing their generic competencies/skills.xiThe success of redesigning depends on testing on the basis of three components: a. students‟ performance (disciplinary content, practical skills); b. improvement of their generic competencies/skills; and c. their satisfaction with participating in the course. If test results are positive, then the teacher has achieved his/her goals and designing is considered to have been successful.The proposed approach has two key advantages: fi

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,997
Score d'incertitude au seuil0,165

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,004
Communication savante0,0070,006
Science ouverte0,0010,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0490,015

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 Opus0,033
Tête enseignante GPT0,469
Écart entre enseignants0,436 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeThéorique ou conceptuel
DomaineMéthodes
GenreMéthodes

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
Publié2013
Routes d'admission1
Résumé présentoui

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