Challenges and solutions for integrating artificial intelligence into transportation engineering education

This study introduces the "student equation" assumption to represent the individualized learning pathways of each student, highlighting their unique needs, challenges, and potentials. Standardized educational approaches, resembling to an "arithmetic mean solution", often fail to...

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Main Authors: NANTOI, Vadim, NANTOI, Daria, CEBAN, Dumitru
Format: Article
Language:English
Published: Technical University of Moldova 2024-12-01
Series:Journal of Social Sciences
Subjects:
Online Access:https://press.utm.md/index.php/jss/article/view/2024-7-4-06
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author NANTOI, Vadim
NANTOI, Daria
CEBAN, Dumitru
author_facet NANTOI, Vadim
NANTOI, Daria
CEBAN, Dumitru
author_sort NANTOI, Vadim
collection DOAJ
description This study introduces the "student equation" assumption to represent the individualized learning pathways of each student, highlighting their unique needs, challenges, and potentials. Standardized educational approaches, resembling to an "arithmetic mean solution", often fail to address the diverse cognitive abilities and developmental needs of students due to their one-size-fits-all nature. The basic hypothesis posits that standardized methods primarily serve the average student, neglecting individual learner diversity. The research aims to explore the complexities of student learning by acknowledging variations in reasoning processes, errors, and cognitive dilemmas influenced by known and unknown variables in their educational journey. The findings suggest that educators must evolve beyond traditional methods to guide students through personalized learning experiences, akin to explorers navigating unknown territories. This educational paradigm seeks to cultivate a more adaptable and inquisitive student body, prepared for discovery. By aligning teaching methods with individualized student needs, this approach aims to enhance learning outcomes and bridge the gap between standardized education and the unique learning equations of each student.
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issn 2587-3490
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language English
publishDate 2024-12-01
publisher Technical University of Moldova
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series Journal of Social Sciences
spelling doaj-art-4987d28ae9e746dfa4a0565beaf02b742025-08-20T03:10:59ZengTechnical University of MoldovaJournal of Social Sciences2587-34902587-35042024-12-01746495https://doi.org/10.52326/jss.utm.2024.7(4).06Challenges and solutions for integrating artificial intelligence into transportation engineering educationNANTOI, Vadim0https://orcid.org/0000-0003-4851-7407NANTOI, Daria1https://orcid.org/0000-0002-5222-5565CEBAN, Dumitru2https://orcid.org/0009-0005-1325-9657Technical University of Moldova, 168 Ștefan cel Mare Blvd., Chișinău, Republic of MoldovaTechnical University of Moldova, 168 Ștefan cel Mare Blvd., Chișinău, Republic of MoldovaTechnical University of Moldova, 168 Ștefan cel Mare Blvd., Chișinău, Republic of MoldovaThis study introduces the "student equation" assumption to represent the individualized learning pathways of each student, highlighting their unique needs, challenges, and potentials. Standardized educational approaches, resembling to an "arithmetic mean solution", often fail to address the diverse cognitive abilities and developmental needs of students due to their one-size-fits-all nature. The basic hypothesis posits that standardized methods primarily serve the average student, neglecting individual learner diversity. The research aims to explore the complexities of student learning by acknowledging variations in reasoning processes, errors, and cognitive dilemmas influenced by known and unknown variables in their educational journey. The findings suggest that educators must evolve beyond traditional methods to guide students through personalized learning experiences, akin to explorers navigating unknown territories. This educational paradigm seeks to cultivate a more adaptable and inquisitive student body, prepared for discovery. By aligning teaching methods with individualized student needs, this approach aims to enhance learning outcomes and bridge the gap between standardized education and the unique learning equations of each student.https://press.utm.md/index.php/jss/article/view/2024-7-4-06student equationunique learning needsdynamic knowledge co-creationindividualesed learninglarge uncertainty educational situations
spellingShingle NANTOI, Vadim
NANTOI, Daria
CEBAN, Dumitru
Challenges and solutions for integrating artificial intelligence into transportation engineering education
Journal of Social Sciences
student equation
unique learning needs
dynamic knowledge co-creation
individualesed learning
large uncertainty educational situations
title Challenges and solutions for integrating artificial intelligence into transportation engineering education
title_full Challenges and solutions for integrating artificial intelligence into transportation engineering education
title_fullStr Challenges and solutions for integrating artificial intelligence into transportation engineering education
title_full_unstemmed Challenges and solutions for integrating artificial intelligence into transportation engineering education
title_short Challenges and solutions for integrating artificial intelligence into transportation engineering education
title_sort challenges and solutions for integrating artificial intelligence into transportation engineering education
topic student equation
unique learning needs
dynamic knowledge co-creation
individualesed learning
large uncertainty educational situations
url https://press.utm.md/index.php/jss/article/view/2024-7-4-06
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