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Artificial Intelligence in Learning Skills Assessment: A Pedagogical Innovation

Published: 18 May 2020 Publication History

Abstract

Competency-based learning assessment has recently undergone an important development in the field of education. Its objective lies on offering learners the necessary skills to follow the enormous development of their environment, and to acquire the essentials capacities for various forms of interaction. This type of assessment is characterized by a diagnosis, remediation and improvement of the learners' skills without being limited to the assessment of knowledge. In this work, we propose an evaluation approach which is based on skills assessment strategy with interesting precision. Thus, the intelligent system detects the degree of learning skills C1 (Appropriate), C2 (Analyze and Reason), C3 (Realize), C4 (Validate) and C5 (communicate). In fact, the system used detects the level of the class in the different skills mentioned above, and offers educational situations to remedy the shortcomings that are encountered. Likewise, it offers the necessary support for each student by offering pedagogical situations whose objective is to increase the level of each learner skills (individualized assessment). The system also helps the teacher to make decisions to provide adequate supports. This device allows complete training for students, and it contributes to the development of a balanced (harmonized) personality in learning skills. This artificial intelligence that is involved allows performance while permanently monitoring each student. In fact, it allows a judicious evaluation which follows the enormous progress by adopting an automated method which takes into account the competence level of each pupil.

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  • (2024)The Effect of Artificial Intelligence Over the Educational System (School and University)Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition10.4018/979-8-3693-0993-3.ch008(182-198)Online publication date: 23-Feb-2024
  • (2021)An Intelligent Strategy for Developing Scientific Learning SkillsEmerging Trends in ICT for Sustainable Development10.1007/978-3-030-53440-0_4(29-36)Online publication date: 24-Jan-2021
  • (2020)An Intelligent System for the Dynamic Assessment of Scientific Subjects2020 6th IEEE Congress on Information Science and Technology (CiSt)10.1109/CiSt49399.2021.9357214(248-253)Online publication date: 5-Jun-2020

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cover image ACM Other conferences
NISS '20: Proceedings of the 3rd International Conference on Networking, Information Systems & Security
March 2020
528 pages
ISBN:9781450376341
DOI:10.1145/3386723
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2020

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Author Tags

  1. Learning skills
  2. artificial intelligence
  3. digital assistance systems
  4. innovative learning
  5. learning assessments

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Cited By

View all
  • (2024)The Effect of Artificial Intelligence Over the Educational System (School and University)Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition10.4018/979-8-3693-0993-3.ch008(182-198)Online publication date: 23-Feb-2024
  • (2021)An Intelligent Strategy for Developing Scientific Learning SkillsEmerging Trends in ICT for Sustainable Development10.1007/978-3-030-53440-0_4(29-36)Online publication date: 24-Jan-2021
  • (2020)An Intelligent System for the Dynamic Assessment of Scientific Subjects2020 6th IEEE Congress on Information Science and Technology (CiSt)10.1109/CiSt49399.2021.9357214(248-253)Online publication date: 5-Jun-2020

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