Education 4.0: Integrating Codes, Standards, and Regulations in the Chemical Engineering Curriculum
Notice bibliographique
Résumé
Education 4.0 is the framework to facilitate the development of skills and competencies of engineering students required for Industry 4.0 through the integration of Industry 4.0 applied concepts, networked approach, digitalization of higher education institutions (HEI), and online advancement of teaching and learning practices. In the chemical engineering curriculum of several HEIs, considerable progress in implementing this framework has been made by including computer-aided design tools, updating manufacturing technologies, using simulation and analysis of virtual models, and implementing data analytics in engineering courses and programs. Process and plant design courses such as Plant Design demand that undergraduate students leverage knowledge from core courses completed during first three years of their degree program by developing a plant's conceptual design. This course clearly sets a pathway to integrate Education 4.0 to Industry 4.0. All stakeholders of this course (students, teaching team, and clients) can progressively identify challenges and opportunities to optimize this integration. Many suggested improvements might require a vertical integration of new concepts in the chemical engineering curriculum, involving courses of different levels throughout the undergraduate curriculum. Nevertheless, we consider that immediate actions shall be taken by teaching teams and industry partners in courses such as Plant Design for students achieving the required competencies and skills before graduating from universities. For instance, running a successful multi-disciplinary engineering team for plant design in the industry will require undergraduate students to become familiar with codes, standards, and regulations. According to our industry partners, this lack of familiarization significantly affects the learning curve of junior engineers at work and shows a disconnection between what is learned at university and what is required in the workplace. To facilitate the transition of our students into the process design industry in the framework of Education 4.0-Industry 4.0, in this work, we describe and present the results of applying a strategy to tackle this challenge by (i) identifying the currently applicable codes, standards, and regulations in the process engineering industry for each technical deliverable (process flow diagram, piping and instrumentation diagram, line list, plot plan, design of equipment, risk management, and safety documents) of the course; (ii) designing and delivering workshops to describe and illustrate their applicability; and (iii) creating a written set of guidelines applicable to the course and the workplace.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».