IntelliFrame: A Framework for AI-Driven, Adaptive, and Process-Oriented Student Assessments

Asma Hadyaoui, Lilia Cheniti-Belcadhi

2024

Abstract

The rapid integration of generative Artificial Intelligence (AI) into educational environments necessitates the development of innovative assessment methods that can effectively measure student performance in an era of dynamic content creation and problem-solving. This paper introduces "IntelliFrame," a novel AI-driven framework designed to enhance the accuracy and adaptability of student assessments. Leveraging semantic web technologies and a well-defined ontology, IntelliFrame facilitates the creation of adaptive assessment scenarios and real-time formative feedback systems. These systems are capable of evaluating the originality, process, and critical thinking involved in AI-assisted tasks with unprecedented precision. IntelliFrame's architecture integrates a personalized AI chatbot that interacts directly with students, providing tailored assistance and generating content that aligns with course objectives. The framework's ontology-driven design ensures that assessments are not only personalized but also dynamically adapted to reflect the evolving capabilities of generative AI and the student’s cognitive processes. IntelliFrame was tested in a Python programming course with 250 first-year students. The study demonstrated that IntelliFrame improved assessment accuracy by 30%, enhanced critical thinking and problem-solving skills by 25%, and increased student engagement by 35%. These results highlight IntelliFrame’s effectiveness in providing precise, personalized assessments and fostering creativity, setting a new standard for AI-integrated educational assessments.

Paper Citation

in Harvard Style

Hadyaoui A. and Cheniti-Belcadhi L. (2024). IntelliFrame: A Framework for AI-Driven, Adaptive, and Process-Oriented Student Assessments. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-718-4, SciTePress, pages 441-448. DOI: 10.5220/0013070800003825

in Bibtex Style

@conference{webist24,
author={Asma Hadyaoui and Lilia Cheniti-Belcadhi},
title={IntelliFrame: A Framework for AI-Driven, Adaptive, and Process-Oriented Student Assessments},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2024},
pages={441-448},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013070800003825},
isbn={978-989-758-718-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - IntelliFrame: A Framework for AI-Driven, Adaptive, and Process-Oriented Student Assessments
SN - 978-989-758-718-4
AU - Hadyaoui A.
AU - Cheniti-Belcadhi L.
PY - 2024
SP - 441
EP - 448
DO - 10.5220/0013070800003825
PB - SciTePress