short-paper

Quantum Computing for Learning Analytics: An Overview of Challenges and Integration Strategies

Authors:

Alessandro Pagano,

Mario Angelelli,

Miriana Calvano,

Antonio PiccinnoAuthors Info & Claims

QP4SE 2023: Proceedings of the 2nd International Workshop on Quantum Programming for Software Engineering

Pages 13 - 16

https://doi.org/10.1145/3617570.3617867

Published: 04 December 2023 Publication History

Abstract

Quantum computing has emerged as a promising technology with the potential to revolutionize various fields, including learning analytics. This research paper explores the applications of quantum computing in learning analytics and discusses the suitability of quantum techniques for addressing the challenges posed by large-scale educational datasets. It also investigates the integration of quantum computing with existing learning analytics pipelines, highlighting compatibility issues, data representation and transformation challenges, algorithmic complexity, and evaluation considerations. By understanding the potential benefits, limitations, and integration strategies, researchers can pave the way for the development of innovative tools and approaches to analyze educational data and provide personalized learning experiences.

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Cited By

Hanafi BAli MSingh D(2025)Quantum algorithms for enhanced educational technologiesDiscover Education10.1007/s44217-025-00400-14:1Online publication date: 13-Jan-2025
https://doi.org/10.1007/s44217-025-00400-1
Damaševičius R(2024)Quantum PedagogyImpacts of AI on Students and Teachers in Education 5.010.4018/979-8-3693-8191-5.ch018(479-522)Online publication date: 20-Dec-2024
https://doi.org/10.4018/979-8-3693-8191-5.ch018
Patil RPatil YDoss S(2024)Utilizing Quantum Computing for Enhanced Natural Disaster Prediction and Mitigation StrategiesThe Rise of Quantum Computing in Industry 6.0 Towards Sustainability10.1007/978-3-031-73350-5_9(141-154)Online publication date: 14-Dec-2024
https://doi.org/10.1007/978-3-031-73350-5_9

Index Terms

Quantum Computing for Learning Analytics: An Overview of Challenges and Integration Strategies
1. Applied computing
  1. Education
2. Computer systems organization
  1. Architectures
    1. Other architectures
      1. Quantum computing

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cover image ACM Conferences

QP4SE 2023: Proceedings of the 2nd International Workshop on Quantum Programming for Software Engineering

December 2023

20 pages

ISBN:9798400703768

DOI:10.1145/3617570

General Chairs:
Vita Santa Barletta
University of Bari, Italy
,
Fabiano Pecorelli
Jheronimus Academy of Data Science, Netherlands / Eindhoven University of Technology, Netherlands
,
Manuel A. Serrano
University of Castilla-La Mancha, Spain

Copyright © 2023 ACM.

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 the author(s) 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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Published: 04 December 2023

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QP4SE '23: 2nd International Workshop on Quantum Programming for Software Engineering

December 4, 2023

CA, San Francisco, USA

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Cited By

Hanafi BAli MSingh D(2025)Quantum algorithms for enhanced educational technologiesDiscover Education10.1007/s44217-025-00400-14:1Online publication date: 13-Jan-2025
https://doi.org/10.1007/s44217-025-00400-1
Damaševičius R(2024)Quantum PedagogyImpacts of AI on Students and Teachers in Education 5.010.4018/979-8-3693-8191-5.ch018(479-522)Online publication date: 20-Dec-2024
https://doi.org/10.4018/979-8-3693-8191-5.ch018
Patil RPatil YDoss S(2024)Utilizing Quantum Computing for Enhanced Natural Disaster Prediction and Mitigation StrategiesThe Rise of Quantum Computing in Industry 6.0 Towards Sustainability10.1007/978-3-031-73350-5_9(141-154)Online publication date: 14-Dec-2024
https://doi.org/10.1007/978-3-031-73350-5_9

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