Wide-Scale Automatic Analysis of 20 Years of ITS Research (2021)
Conference Proceeding
Hodgson, R., Cristea, A., Shi, L., & Graham, J. (2021). Wide-Scale Automatic Analysis of 20 Years of ITS Research. In A. I. Cristea, & C. Troussas (Eds.), Intelligent Tutoring Systems 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings (8-21). https://doi.org/10.1007/978-3-030-80421-3_2

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)
Conference Proceeding
Sun, Z., Harit, A., Yu, J., Cristea, A. I., & Shi, L. (2021). A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. In A. Cristea, & C. Troussas (Eds.), . https://doi.org/10.1007/978-3-030-80421-3_4

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.

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums (2021)
Conference Proceeding
Yu, J., Alrajhi, L., Harit, A., Sun, Z., Cristea, A. I., & Shi, L. (2021). Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. In A. I. Cristea, & C. Troussos (Eds.), Intelligent Tutoring Systems (78-90). https://doi.org/10.1007/978-3-030-80421-3_10

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.

Encouraging Teacher-sourcing of Social Recommendations Through Participatory Gamification Design (2021)
Book Chapter
Toda Yacobson, E., Cristea, A., & Alexandron, G. I. (2021). Encouraging Teacher-sourcing of Social Recommendations Through Participatory Gamification Design. In A. Cristea, & C. I. Troussas (Eds.), Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings (418-429). Springer Verlag. https://doi.org/10.1007/978-3-030-80421-3_46

Teachers and learners who search for learning materials in open educational resources (OER) repositories greatly benefit from feedback and reviews left by peers who have activated these resources in their class. Such feedback can also fuel social-bas... Read More about Encouraging Teacher-sourcing of Social Recommendations Through Participatory Gamification Design.

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach (2021)
Journal Article
Almuqren, L., Alrayes, F. S., & Cristea, A. I. (2021). An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. Future Internet, 13(7), Article 175. https://doi.org/10.3390/fi13070175

With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing... Read More about An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach.

Calculation and controlled factors of hydrocarbon expulsion efficiency using corrected pyrolysis parameters: A Songliao case study (2021)
Journal Article
Xue, H., Dong, Z., Tian, S., Lu, S., Greenwell, H. C., Luo, P., …Wang, Y. (2022). Calculation and controlled factors of hydrocarbon expulsion efficiency using corrected pyrolysis parameters: A Songliao case study. Journal of Petroleum Science and Engineering, 208, Article 109026. https://doi.org/10.1016/j.petrol.2021.109026

In recent years, rock pyrolysis parameters combined with a mass balance method have been used to calculate the hydrocarbon expulsion efficiency. However, due to the experimental procedure of rock pyrolysis, the residual hydrocarbon amount (S1) is und... Read More about Calculation and controlled factors of hydrocarbon expulsion efficiency using corrected pyrolysis parameters: A Songliao case study.

The Geopolitics of Energy System Transformation: A Review (2021)
Journal Article
Blondeel, M., Bradshaw, M., Bridge, G., & Kuzemko, C. (2021). The Geopolitics of Energy System Transformation: A Review. Geography Compass, 15(7), Article e12580. https://doi.org/10.1111/gec3.12580

In 2009, Geography Compass published a paper on ‘The Geopolitics of Global Energy Security’ that reviewed research on the key geographical factors influencing the secure and affordable supply of energy resources. Now, just over a decade later, the en... Read More about The Geopolitics of Energy System Transformation: A Review.

A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns (2021)
Conference Proceeding
Li, Z., Shi, L., Cristea, A. I., & Zhou, Y. (2021). A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns. . https://doi.org/10.1145/3461778.3462135

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.

Covid and data science: Understanding R0 could change your life (2021)
Journal Article
Ridgway, J. (2021). Covid and data science: Understanding R0 could change your life. Teaching Statistics: An International Journal for Statistics and Data Science Teaching, 43(S1), S84-S92. https://doi.org/10.1111/test.12273

The Covid epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some of the cha... Read More about Covid and data science: Understanding R0 could change your life.

‘It was the easiest way to kind of announce it’: Exploring death announcements on social media through a dramaturgical lens (2021)
Journal Article
Murrell, A., Jamie, K., & Penfold-Mounce, R. (2023). ‘It was the easiest way to kind of announce it’: Exploring death announcements on social media through a dramaturgical lens. Mortality, 28(3), https://doi.org/10.1080/13576275.2021.1946496

The internet and social media have radically transformed grief, mourning and memorialisation. This article addresses how online death announcements (ODAs) (where bereaved people use social media platforms to share news of a loved one’s death) are ext... Read More about ‘It was the easiest way to kind of announce it’: Exploring death announcements on social media through a dramaturgical lens.

First stellar photons for an integrated optics discrete beam combiner at the William Herschel Telescope (2021)
Journal Article
Nayak, A. S., Labadie, L., Sharma, T. K., Piacentini, S., Corrielli, G., Osellame, R., …Roth, M. M. (2021). First stellar photons for an integrated optics discrete beam combiner at the William Herschel Telescope. Applied Optics, 60(19), D129-D142. https://doi.org/10.1364/ao.423881

We present the first on-sky results of a four-telescope integrated optics discrete beam combiner (DBC) tested at the 4.2 m William Herschel Telescope. The device consists of a four-input pupil remapper followed by a DBC and a 23-output reformatter. T... Read More about First stellar photons for an integrated optics discrete beam combiner at the William Herschel Telescope.

Climates of trust, innovation, and research use in fostering evidence-informed practice in French schools (2021)
Journal Article
Gaussel, M., MacGregor, S., Brown, C., & Piedfer-Quêney, L. (2021). Climates of trust, innovation, and research use in fostering evidence-informed practice in French schools. International Journal of Educational Research, 109, Article 101810. https://doi.org/10.1016/j.ijer.2021.101810

In France as elsewhere, various arguments suggest that evidence-informed practice (EIP) in education may positively impact student outcomes. However, while these arguments are beginning to mature in countries such as England, uptake of EIP theories i... Read More about Climates of trust, innovation, and research use in fostering evidence-informed practice in French schools.

Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study (2021)
Book Chapter
Drousiotis, E., Pentaliotis, P., Shi, L., & Cristea, A. I. (2021). Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study. In I. Roll, D. McNamara, S. Sosnovsky, R. Luckin, & V. Dimitrova (Eds.), Artificial Intelligence in Education (139-144). Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_25

This study aims to explore and improve ways of handling a continuous variable dataset, in order to predict student dropout in MOOCs, by implementing various models, including the ones most successful across various domains, such as recurrent neural n... Read More about Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study.

Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours (2021)
Conference Proceeding
Alharbi, K., Cristea, A. I., Shi, L., Tymms, P., & Brown, C. (2021). Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours. In I. Roll, M. Danielle, S. Sergey, L. Rose, & D. Vania (Eds.), Artificial Intelligence in Education Lecture Notes in Computer Science (48-53). https://doi.org/10.1007/978-3-030-78270-2_8

Schoolchildren's academic progress is known to be affected by the classroom environment. It is important for teachers and administrators to under-stand their pupils' status and how various factors in the classroom may affect them, as it can help them... Read More about Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours.

‘Intolerance of Uncertainty’ mediates the relationship between social profile and anxiety in both Williams Syndrome and autism (2021)
Journal Article
South, M., Hanley, M., Normansell-Mossa, K., Russell, N., Cawthorne, T., & Riby, D. (2021). ‘Intolerance of Uncertainty’ mediates the relationship between social profile and anxiety in both Williams Syndrome and autism. Autism Research, 14(9), 1986-1995. https://doi.org/10.1002/aur.2554

Anxiety is the most significant mental health concern for both Williams syndrome (WS) and autism. Whilst WS and autism are characterised by some syndrome-specific social differences, less is known about cross-syndrome profiles of anxiety symptoms. Pr... Read More about ‘Intolerance of Uncertainty’ mediates the relationship between social profile and anxiety in both Williams Syndrome and autism.

Nikolay Myaskovsky: A Composer and His Times (2021)
Book
Zuk, P. (2021). Nikolay Myaskovsky: A Composer and His Times. Boydell Press

ELT-scale elongated LGS wavefront sensing: on-sky results (2021)
Journal Article
Bardou, L., Gendron, E., Rousset, G., Gratadour, D., Basden, A., Bonaccini Calia, D., …Vidal, F. (2021). ELT-scale elongated LGS wavefront sensing: on-sky results. Astronomy & Astrophysics, 649, Article A158. https://doi.org/10.1051/0004-6361/202038330

Context. Laser guide stars (LGS) allow adaptive optics (AO) systems to reach greater sky coverage, especially for AO systems correcting the atmospheric turbulence on large fields of view. However LGS suffer from limitations, among which is their appa... Read More about ELT-scale elongated LGS wavefront sensing: on-sky results.

Option Informativeness Before Earnings Announcements and Under Real Activity Manipulation (2021)
Journal Article
Gao, X., Gu, J., & Zhang, Y. (2021). Option Informativeness Before Earnings Announcements and Under Real Activity Manipulation. Pacific Accounting Review, 33(3), 361-375. https://doi.org/10.1108/par-07-2020-0090

Purpose. This article investigates whether single name options trading prior to earnings announcements is more informative when there exist real activit y manipulation s Design/methodology/approach. Using 5,419 earnings announcements during 2004 20 1... Read More about Option Informativeness Before Earnings Announcements and Under Real Activity Manipulation.

AraCust: a Saudi Telecom Tweets corpus for sentiment analysis (2021)
Journal Article
Almuqren, L., & Cristea, A. (2021). AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. PeerJ Computer Science, 7, Article e510. https://doi.org/10.7717/peerj-cs.510

Comparing Arabic to other languages, Arabic lacks large corpora for Natural Language Processing (Assiri, Emam & Al-Dossari, 2018; Gamal et al., 2019). A number of scholars depended on translation from one language to another to construct their corpus... Read More about AraCust: a Saudi Telecom Tweets corpus for sentiment analysis.

Decarbonizing capital: Investment, divestment and the qualification of carbon assets (2021)
Journal Article
Langley, P., Bridge, G., Bulkeley, H., & van Veelen, B. (2021). Decarbonizing capital: Investment, divestment and the qualification of carbon assets. Economy and Society, 50(3), 494-516. https://doi.org/10.1080/03085147.2021.1860335

rivate investment capital is now widely regarded as strategically significant to the governance of climate change. A dedicated and dynamic carbon finance sector has emerged that features techniques and practices for decarbonizing capital, facilitatin... Read More about Decarbonizing capital: Investment, divestment and the qualification of carbon assets.