Implementing quality assurance practices in teaching machine learning in higher education

Chemlal, Yman; Azouazi, Mohamed

doi:10.23939/mmc2023.03.660

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Machine learning techniques have obtained remarkable achievements in various tasks, such as image recognition, object detection, and language modeling. However, building a high-quality ML system for a specific task highly relies on human expertise, hindering its wide application [45,46]. Meanwhile, automated machine learning (AutoML) is a promising solution for building a ML system without human intervention.…”

Section: Discussionmentioning

confidence: 99%

A generic model of the information and decisional chain using Machine Learning based assistance in a manufacturing context

Mallouk,

Abou el Majd,

Sallez

2023

Math. Model. Comput.

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Nowadays, manufacturers must deal with huge international competition and continually improve their performances. In this context, several essential approaches namely CBM (Condition-based maintenance), PHM (Prognostics and Health Management), and PLM (Product Lifecycle Management) are used for manufacturing systems to maintain and increase their availability, reliability and performance. This implies that operational usage data of the manufacturing equipment must then be made available to all stakeholders concerned through efficient informational chains. However confronted with a large amount of data, the stakeholders must be assisted in their decision-making. This paper aims to propose a generic architecture that models the information and decision chain from the target system to the relevant stakeholders by assisting them in their decision-making. The proposed generic architecture is illustrated by a use case based on the LSTM (Long Short-Term Memory) algorithm in the context of energy management for a fleet of mobile robots.

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Section: Discussionmentioning

confidence: 99%

A generic model of the information and decisional chain using Machine Learning based assistance in a manufacturing context

Mallouk,

Abou el Majd,

Sallez

2023

Math. Model. Comput.

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Fostering sustainable Development Through Artificial Intelligence in Education (ESD): A Comprehensive Evaluation Framework and Key Criteria Analysis

yman,

Mohamed

2023

Preprint

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The good implementation of artificial intelligence (AI) for Education Sustainability Development (ESD) in Higher Education (HE) will be a relevant factor in the successful ranking of universities. Therefore, Higher Education must evaluate the performance of this implementation and integrate adequate criteria of performance in its Quality Assurance System. This research paper aims to identify relevant evaluation criteria of the implementation of artificial intelligence (AI) for Education Sustainability Development (ESD) in Higher Education (HE) and propose how HE can integrate those criteria into their quality assurance systems. The study utilizes a combination of qualitative content analysis and the Analytic Hierarchy Process (AHP) to identify criteria for assessment and generate a weight matrix of those criteria. Based on the findings, a framework of evaluation is proposed to assess the performance of integrating AI to promote sustainable learning outcomes by elucidating the relationship between key elements, such as the SKE (Skills, Knowledge, Ethics) Model, Learning Objectives, Learning Outcomes, and Key Performance. Continuous improvement is a vital element in our framework to maintain its relevance in fostering quality in implementing AI in education for sustainable development. It emphasizes the importance of a feedback loop involving stakeholders to identify areas for enhancement and ensure ethical and inclusive AI application.

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Machine learning in lung lesion detection caused by certain diseases

Khoroshchuk,

Liubinskyi

2023

Math. Model. Comput.

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Implementing quality assurance practices in teaching machine learning in higher education

Cited by 3 publications

References 11 publications

A generic model of the information and decisional chain using Machine Learning based assistance in a manufacturing context

A generic model of the information and decisional chain using Machine Learning based assistance in a manufacturing context

Fostering sustainable Development Through Artificial Intelligence in Education (ESD): A Comprehensive Evaluation Framework and Key Criteria Analysis

Machine learning in lung lesion detection caused by certain diseases

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