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Islambouli Rania

Collaboratrice scientifique HES - Doctorante

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Collaboratrice scientifique HES - Doctorante

Desktop: HEIA_C00.10

Haute école d'ingénierie et d'architecture de Fribourg
Boulevard de Pérolles 80, 1700 Fribourg, CH

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2023

Using video streaming feeds to encourage informal learning

Conference ArODES

Rania Islambouli, Sandy Ingram, Isabelle Vonèche Cardia, Denis Gillet

Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT) 2023, 10-13 July 2023, Orem, UT, USA

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Summary:

Social media have become an indispensable part of daily life, particularly among university students, who regularly browse social news feeds in their spare time. Due to their pervasiveness, social media platforms provide an opportunity for influencing user behavior and encouraging informal learning. In this paper, we present an experiment using an online video recommendation application designed to blend micro-informative content with general content according to user preferences and activity history. Based on a one-week study, we conclude that injecting micro-informative content into video streaming platforms has the potential to improve the perceived satisfaction of users and can act as a potential catalyst to motivate users to consume more informative content online.

2021

Learning finance with games :

Conference ArODES

an empirical study

Sandy Ingram, Rania Islambouli, Miharisoa Andrianantenaina, Jean-Philippe Weisskopf, Philippe Masset, Nicole Baudat

Proceedings of CSCI 2021 : The 2021 International Conference on Computational Science and Computational Intelligence, 15-17 December 2021, Las Vegas, USA

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Summary:

This paper presents an empirical case study on applying game-based learning in an undergraduate finance course. The paper describes the experimental study context, protocol, and results. Using multivariate regression analysis, a significant game effect on student performance is observed for competitive strategy-based games.

Is your time well spent online ? :

Conference ArODES

focusing on quality experiences through a user-centered recommendation algorithm and simulation model

Rania Islambouli, Sandy Ingram, Denis Gillet

Proceedings of ICMLA 2021, International Conference on Machine Learning and Applications, 13-16 December 2021, virtual event

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Summary:

Spending an uncontrolled quantity and quality of time on digital news and social media platforms can negatively influence mental health and decrease cognitive abilities. In this paper, we propose a sequential news recommendation system employing deep reinforcement learning to capture the user’s short and long-term interests while blending social news with microlearning informative news items that can help users derive useful outcomes out of their online presence. In the absence of a publicly available dataset, we developed a simulation model to synthesize data and evaluate the proposed news recommendation system. We train and evaluate our model on synthesized data and show an improvement in user satisfaction.

A user centered news recommendation system

Conference ArODES

Rania Islambouli, Sandy Ingram, Denis Gillet

Proceedings of 4th Workshop on Human Factors in Hypertext, 30 July- 3 August, 2021, Virtual Event, Ireland

Link to the conference

Summary:

Spending an uncontrolled quantity and quality of time on digital information sites is affecting our well-being and can lead to serious problems in the long term. In this paper, we present a sequential recommendation framework that uses deep reinforcement learning to capture the users' short and long-term interests, with a proposed use case of blending social news with recommended micro-learning informative news items that can help users derive useful outcomes out of their presence online.

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