Active learning based laboratory towards engineering education 4.0

Universities have a relevant and essential key role to ensure knowledge and development of competencies in the current fourth industrial revolution called Industry 4.0. The Industry 4.0 promotes a set of digital technologies to allow the convergence between the information technology and the operation technology towards smarter factories. Under such new framework, multiple initiatives are being carried out worldwide as response of such evolution, particularly, from the engineering education point of view. In this regard, this paper introduces the initiative that is being carried out at the Technical University of Catalonia, Spain, called Industry 4.0 Technologies Laboratory, I4Tech Lab. The I4Tech laboratory represents a technological environment for the academic, research and industrial promotion of related technologies. First, in this work, some of the main aspects considered in the definition of the so called engineering education 4.0 are discussed. Next, the proposed laboratory architecture, objectives as well as considered technologies are explained. Finally, the basis of the proposed academic method supported by an active learning approach is presented.Postprint (published version

Healthcare AI: A Revised Quebec Framework for Nursing Education

Artificial Intelligence Health Technologies (AIHT) are taking their place in the practice of nursing. However, the curricula have not evolved to include competencies required of nursing graduates to incorporate their impact on theory and practice. This project was born of an identified need by nurse educators to articulate new competencies grounded in the literature and expert knowledge. Based on extensive literature reviews and an iterative process of expert validation, this paper provides recommendations for five new competencies that will be needed for nurses to use AIHT responsibly, ethically, and intelligently in the best interests of patient care. The methodology started with a literature review, then expert validation, leading to the development of the proposed competency framework, and finally validation with experts in Artificial Intelligence (AI) and healthcare. The first two competencies proposed address the underlying theory needed for effective practice: 1) Students will be able to apply knowledge of informatics and digital health technology to the practice of nursing, and 2) Students will be able to apply their knowledge of AIHT and their inherent benefits and limitations. The subsequent three competencies address application in practice: 3) Students will be able to use AIHT safely and effectively within their nursing practice, 4) Students will be able to participate in the development of AIHT guidelines considering ethical, social, and legal implications, and 5) Students will be able to engage in the development of AIHT training to support continuing nurse education. Clear statements, achievement contexts, elements, and performance criteria are provided for all levels of post-secondary education in Quebec including RN, BScN, and graduate-level programs. The proposed framework would also be of interest to nurse educators across Canada and internationally. Résumé Les technologies de l’intelligence artificielle en santé (TIAS) prennent leur place dans la pratique infirmière. Cependant, les programmes d’études n’ont pas évolué pour inclure les compétences requises des diplômées et diplômés en sciences infirmières afin d’intégrer leur impact sur la théorie et la pratique. Ce projet est né d’un besoin cerné par des professeures et enseignantes infirmières d’articuler de nouvelles compétences fondées sur la littérature et sur les connaissances d’experts. Basé sur des analyses approfondies des écrits et sur un processus itératif de validation par des experts, cet article fournit des recommandations pour cinq nouvelles compétences qui seront nécessaires aux infirmières et infirmiers pour utiliser les technologies de l’intelligence artificielle en santé de manière responsable, éthique et intelligente dans l’intérêt supérieur des soins aux patients. L’approche méthodologique a commencé par une revue de la littérature, puis une validation par des experts, conduisant à l’élaboration du référentiel de compétences proposé, et enfin une validation auprès d’experts en intelligence artificielle (IA) et en santé. Les deux premières compétences proposées portent sur la théorie sous-jacente nécessaire à une pratique efficace : 1) Les étudiantes et étudiants seront en mesure d’appliquer leurs connaissances en informatique et en technologie numérique de la santé à la pratique infirmière, et 2) Les étudiantes et étudiants seront en mesure d’appliquer leurs connaissances des technologies de l’intelligence artificielle en santé ainsi que de leurs avantages et limites inhérents. Les trois compétences suivantes concernent l’application dans la pratique : 3) Les étudiantes et étudiants seront en mesure d’utiliser les technologies de l’intelligence artificielle en santé de manière sûre et efficace dans leur pratique infirmière, 4) Les étudiantes et étudiants seront en mesure de participer à l’élaboration des lignes directrices des technologies d’intelligence artificielle en santé en tenant compte des implications éthiques, sociales et juridiques, et 5) Les étudiantes et étudiants seront en mesure de s’engager dans l’élaboration de la formation en matière de technologies d’intelligence artificielle en santé pour soutenir la formation continue des infirmières et infirmiers. Des énoncés clairs, des contextes de réussite, des éléments et des critères de rendement sont fournis pour tous les niveaux d’études postsecondaires au Québec, y compris les programmes techniques pour les infirmières et infirmiers, de baccalauréat en sciences infirmières et d’études supérieures. Le référentiel proposé pourrait intéresser également les formatrices et formateurs en sciences infirmières ailleurs au Canada et à l’international

The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process

The article examines the nature of the effect of the digital economy and artificial intelligence on the participants of the school educational process. The study deploys a Likert scale questionnaire, focused interview, and IBM SPSS Statistics 22 as the main instruments. The authors determine the status of a teacher in the AI-teacher system and identify the nature of AI’s influence on the students and communication within the teacher-student-teacher system. Support is provided for the hypothesis suggesting that the effect of the digital economy and AI on the participants of the school educational process (teachers and students) is complex and controversial and causes the differences in the teachers’ positions depending on their age, working experience, and the subject of specialization. The primary advantage of the article is the identification of stable relationships in the teacher-student-teacher system developing with the help of AI. The study indicates the teacher’s advantage over AI in teaching technique and social influence, as well as the negative effect of AI on students’ health. For the first time, the authors examine the nature of role changes in the AI-teacher system in the context of a global pandemic. The danger of AI replacing teachers with the help of teachers themselves is identified. The acquired results may be used by theorists and practitioners for further development of the foundations of the system of education and human interaction with AI in the digital economy

RENEWAL OF AN INFORMATION SYSTEMS CURRICULUM TO SUPPORT CAREER BASED TRACKS: A CASE STUDY

The pace at which technology redefines traditional job functions is picking up rapidly. This trend is triggered particularly by advances in analytics, security, cloud computing, Artificial Intelligence and big data. The purpose of this paper is to present a case study on our approach to renewing an undergraduate IS Major curriculum to align with the needs of the industry. We adopt a survey based approach to study Information Systems (IS) graduate skills requirements and re-design the curriculum framework for the IS program at our school. The paper describes in detail the process, the redesigned IS curriculum, the impact of the new curriculum on student enrolment across the different career tracks, and some lessons learned when trying to re-design the curriculum to align with industry needs. The work reported in this paper provides one pathway for Information Systems and Computer Science schools to re-engineer their curriculum design

The Faculty Notebook, December 2006

The Faculty Notebook is published periodically by the Office of the Provost at Gettysburg College to bring to the attention of the campus community accomplishments and activities of academic interest. Faculty are encouraged to submit materials for consideration for publication to the Associate Provost for Faculty Development. Copies of this publication are available at the Office of the Provost