Outputs (44)

Tailored gamification in education: A literature review and future agenda (2022)
Journal Article
Oliveira, W., Hamari, J., Shi, L., Toda, A. M., Rodrigues, L., Palomino, P. T., & Isotani, S. (2023). Tailored gamification in education: A literature review and future agenda. Education and Information Technologies, 28(1), 373-406. https://doi.org/10.1007/s10639-022-11122-4

Gamification has been widely used to design better educational systems aiming to increase students’ concentration, motivation, engagement, flow experience, and others positive experiences. With advances in research on gamification in education, over... Read More about Tailored gamification in education: A literature review and future agenda.

Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods (2022)
Book Chapter
Drousiotis, E., Shi, L., Spirakis, P. G., & Maskell, S. (2022). Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. In L. Iliadis, C. Jayne, A. Tefas, & E. Pimenidis (Eds.), Engineering Applications of Neural Networks: 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings (90-102). Springer, Cham. https://doi.org/10.1007/978-3-031-08223-8_8

Decision Forests have attracted the academic community’s interest mainly due to their simplicity and transparency. This paper proposes two novel decision forest building techniques, called Maximal Information Coefficient Forest (MICF) and Pearson’s C... Read More about Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods.

AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks (2022)
Journal Article
Xing, B., Cao, H., Shi, L., Si, H., & Zhao, L. (2022). AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks. Cognitive Computation and Systems, 4(3), 250-264. https://doi.org/10.1049/ccs2.12055

Leveraging the power of computational methods, AI can perform effective strategies in intelligent design. Researchers are pushing the boundaries of AI, developing computational systems to solve complex questions. The authors investigate the associati... Read More about AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks.

Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic (2021)
Presentation / Conference Contribution
Aduragba, O. T., Yu, J., Cristea, A., & Shi, L. (2023, October). Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. Presented at AMIA 2021 Annual Symposium, San Diego, USA

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums (2021)
Presentation / Conference Contribution
Yu, J., Alrajhi, L., Harit, A., Sun, Z., Cristea, A. I., & Shi, L. (2021, June). Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. Presented at Intelligent Tutoring Systems, Athens, Greece / Virtual

Massive Open Online Courses (MOOCs) have become a popular choice for e-learning thanks to their great flexibility. However, due to large numbers of learners and their diverse backgrounds, it is taxing to offer real-time support. Learners may post the... Read More about Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.

Wide-Scale Automatic Analysis of 20 Years of ITS Research (2021)
Presentation / Conference Contribution
Hodgson, R., Cristea, A., Shi, L., & Graham, J. (2021, June). Wide-Scale Automatic Analysis of 20 Years of ITS Research. Presented at Intelligent Tutoring Systems, Athens, Greece / Virtual

The analysis of literature within a research domain can provide significant value during preliminary research. While literature reviews may provide an in-depth understanding of current studies within an area, they are limited by the number of studies... Read More about Wide-Scale Automatic Analysis of 20 Years of ITS Research.

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs (2021)
Presentation / Conference Contribution
Sun, Z., Harit, A., Yu, J., Cristea, A. I., & Shi, L. (2021, June). A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. Presented at Intelligent Tutoring Systems, Athens, Greece / Virtual

Massive Open Online Course (MOOC) systems have become prevalent in recent years and draw more attention, a.o., due to the coronavirus pandemic’s impact. However, there is a well-known higher chance of dropout from MOOCs than from conventional off-lin... Read More about A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs.

Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students (2021)
Presentation / Conference Contribution
Alharbi, K., Cristea, A. I., Shi, L., Tymms, P., & Brown, C. (2021, June). Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students. Presented at Intelligent Tutoring Systems, Athens, Greece / Virtual

The classroom environment is a major contributor to the learning process in schools. Young students are affected by different details in their academic progress, be it their own characteristics, their teacher’s or their peers’. The combination of the... Read More about Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students.

Early Predictor for Student Success Based on Behavioural and Demographical Indicators (2021)
Presentation / Conference Contribution
Drousiotis, E., Shi, L., Maskell, S., Cristea, A. I., & Troussas, C. (2021, December). Early Predictor for Student Success Based on Behavioural and Demographical Indicators. Presented at International Conference on Intelligent Tutoring Systems 2021

As the largest distance learning university in the UK, the Open University has more than 250,000 students enrolled, making it also the largest academic institute in the UK. However, many students end up failing or withdrawing from online courses, whi... Read More about Early Predictor for Student Success Based on Behavioural and Demographical Indicators.

A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns (2021)
Presentation / Conference Contribution
Li, Z., Shi, L., Cristea, A. I., & Zhou, Y. (2023, June). A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns. Presented at ACM Designing Interactive Systems (DIS), Virtual

Recently, methods enabling humans and Artificial Intelligent (AI) agents to collaborate towards improving the efficiency of Reinforcement Learning - also called Collaborative Reinforcement Learning (CRL) - have been receiving increasing attention. In... Read More about A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns.