Skip to main content

Research Repository

Advanced Search

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs (2022)
Book Chapter
Alshehri, M., Alamri, A., & Cristea, A. I. (2022). Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. In M. Mercedes Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education (717-723). Springer Verlag. https://doi.org/10.1007/978-3-031-11644-5_73

Massive Open Online Course (MOOC) platforms have been growing exponentially, offering worldwide low-cost educational content. Recent literature on MOOC learner analytics has been carried out around predicting either students’ dropout, academic perfor... Read More about Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs.

Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews (2022)
Book Chapter
Xiao, C., Shi, L., Cristea, A., Li, Z., & Pan, Z. (2022). Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. In M. Rodrigo, N. Matsuda, A. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education (294-306). Springer, Cham. https://doi.org/10.1007/978-3-031-11644-5_24

Online course reviews have been an essential way in which course providers could get insights into students’ perceptions about the course quality, especially in the context of massive open online courses (MOOCs), where it is hard for both parties to... Read More about Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews.

Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data (2022)
Book Chapter
Drousiotis, E., Pentaliotis, P., Shi, L., & Cristea, A. I. (2022). Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data. In Artificial Intelligence in Education (256-268). Springer, Cham. https://doi.org/10.1007/978-3-031-11644-5_21

Along with the exponential increase of students enrolling in MOOCs [26] arises the problem of a high student dropout rate. Researchers worldwide are interested in predicting whether students will drop out of MOOCs to prevent it. This study explores a... Read More about Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data.

MOOCs Paid Certification Prediction Using Students Discussion Forums (2022)
Book Chapter
Alshehri, M., & Cristea, A. I. (2022). MOOCs Paid Certification Prediction Using Students Discussion Forums. In M. Mercedes Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (542-545). Springer Verlag. https://doi.org/10.1007/978-3-031-11647-6_111

Massive Open Online Courses (MOOCs) have been suffering a very level of low course certification (less than 1% of the total number of enrolled students on a given online course opt to purchase its certificate), although MOOC platforms have been offer... Read More about MOOCs Paid Certification Prediction Using Students Discussion Forums.

SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour (2022)
Book Chapter
Li, Z., Shi, L., Cristea, A., Zhou, Y., Xiao, C., & Pan, Z. (2022). SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (348-351). Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_67

Lacking behavioural data between students and an Intelligent Tutoring System (ITS) has been an obstacle for improving its personalisation capability. One feasible solution is to train “sim students”, who simulate real students’ behaviour in the ITS.... Read More about SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour.

A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs (2022)
Book Chapter
Alrajhi, L., Pereira, F. D., Cristea, A. I., & Aljohani, T. (2022). A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs. In M. Mercedes Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (424-427). Springer Verlag. https://doi.org/10.1007/978-3-031-11647-6_84

Deciding upon instructor intervention based on learners’ comments that need an urgent response in MOOC environments is a known challenge. The best solutions proposed used automatic machine learning (ML) models to predict the urgency. These are ‘black... Read More about A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs.

Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs (2022)
Book Chapter
Aljohani, T., Cristea, A. I., & Alrajhi, L. (2022). Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs. In M. Mercedes Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (396-399). Springer Verlag. https://doi.org/10.1007/978-3-031-11647-6_78

Automatically identifying the learner gender, which serves as this paper’s focus, can provide valuable information to personalised learners’ experiences in MOOCs. However, extracting the gender from learner-generated data (discussion forum) is a chal... Read More about Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs.

An AI-Based Feedback Visualisation System for Speech Training (2022)
Book Chapter
Wynn, A. T., Wang, J., Umezawa, K., & Cristea, A. I. (2022). An AI-Based Feedback Visualisation System for Speech Training. In M. Mercedes Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (510-514). Springer Verlag. https://doi.org/10.1007/978-3-031-11647-6_104

This paper proposes providing automatic feedback to support public speech training. For the first time, speech feedback is provided on a visual dashboard including not only the transcription and pitch information, but also emotion information. A meth... Read More about An AI-Based Feedback Visualisation System for Speech Training.

Developing authenticity: A quasi-experimental investigation (2022)
Journal Article
Kipfelsberger, P., Braun, S., Fladerer, M. P., & Dragoni, L. (2022). Developing authenticity: A quasi-experimental investigation. Personality and Individual Differences, 198, Article 111825. https://doi.org/10.1016/j.paid.2022.111825

Authenticity facilitates positive human functioning. Yet, previous research has not adequately addressed whether different dimensions of authenticity develop naturally as one ages or whether their development can be facilitated through systematic int... Read More about Developing authenticity: A quasi-experimental investigation.

Bared-teeth displays in bonobos (Pan paniscus): An assessment of the power asymmetry hypothesis (2022)
Journal Article
Vlaeyen, J. M., Heesen, R., Kret, M. E., Clay, Z., Bionda, T., & Kim, Y. (2022). Bared-teeth displays in bonobos (Pan paniscus): An assessment of the power asymmetry hypothesis. American Journal of Primatology, 84(9), Article e23419. https://doi.org/10.1002/ajp.23419

Facial expressions are key to navigating social group life. The Power Asymmetry Hypothesis of Motivational Emancipation predicts that the type of social organization shapes the meaning of communicative displays in relation to an individual's dominanc... Read More about Bared-teeth displays in bonobos (Pan paniscus): An assessment of the power asymmetry hypothesis.

A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics (2022)
Conference Proceeding
Hodgson, R., Wang, J. W., Cristea, A., Matsuzaki, F., & Kubota, H. (2022). A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics. In A. Mitrovic, & N. Bosch (Eds.), . https://doi.org/10.5281/zenodo.6853001

In the academic process, comprehension and analysis of liter- ature is essential, however, time-consuming. Reviewers may encounter difficulties in identifying relevant literature, given the considerable volume of available texts. It is arduous not on... Read More about A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics.

Improving mathematical reasoning – the professional development challenge (2022)
Journal Article
Wang, Y., & Brown, C. (2022). Improving mathematical reasoning – the professional development challenge. Professional development today, 22(4),

Yuqian Wang and Chris Brown highlight how crucial it is for schools to make explicit plans to improve mathematical reasoning, even in lower primary settings. Their research outlines the professional development that can be employed in support.

Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study (2022)
Journal Article
Fenton, A., Cooper-Ryan, A. M., Hardey, M. (., & Ahmed, W. (2022). Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study. International Journal of Environmental Research and Public Health, 19(14), Article 8417. https://doi.org/10.3390/ijerph19148417

Background: The last decade has seen a dramatic shift toward the study of fitness surveillance, thanks in part to the emergence of mobile health (mHealth) apps that allow users to track their health through a variety of data-driven insights. This stu... Read More about Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study.

Research informed educational practice: how to help educators engage with research for the common good (Practica educativa informada por la investigacion: Cómo ayudar a los educadores comprometerse con la investigacion para el bien comun) (2022)
Journal Article
Brown, C., & Ion, G. (2022). Research informed educational practice: how to help educators engage with research for the common good (Practica educativa informada por la investigacion: Cómo ayudar a los educadores comprometerse con la investigacion para el bien comun). Revista de educación (Madrid. Internet), 397(10), 239-260. https://doi.org/10.4438/1988-592x-re-2022-397-546

This paper examines research informed educational practice (RIEP) and how RIEP can become an integral part of how education systems operate. First RIEP is considered within the broader context of ‘research for the common good’. The paper then discuss... Read More about Research informed educational practice: how to help educators engage with research for the common good (Practica educativa informada por la investigacion: Cómo ayudar a los educadores comprometerse con la investigacion para el bien comun).

Facilitating the ideas-informed society: a systematic review (2022)
Journal Article
Brown, C., Luzmore, R., & Groß Ophoff, J. (2022). Facilitating the ideas-informed society: a systematic review. Emerald Open Research, 4, Article 25. https://doi.org/10.35241/emeraldopenres.14729.1

Background: The concept of the ideas-informed society represents a desired situation in which: 1) citizens see value in staying up to date, and 2) citizens regularly keep themselves up to date by actively engaging with new ideas, developments and cla... Read More about Facilitating the ideas-informed society: a systematic review.

The Quality of Everyday Eye Contact in Williams Syndrome: Insights from Cross-syndrome Comparisons (2022)
Journal Article
Ridley, E., Arnott, B., Riby, D., Burt, M., Hanley, M., & Leekam, S. (2022). The Quality of Everyday Eye Contact in Williams Syndrome: Insights from Cross-syndrome Comparisons. American Journal on Intellectual and Developmental Disabilities, 127(4), 293-312. https://doi.org/10.1352/1944-7558-127.4.293

Past research shows that individuals with Williams syndrome (WS) have heightened and prolonged eye contact. Using parent report measures, we examined not only the presence of eye contact but also its qualitative features. Study 1 included individuals... Read More about The Quality of Everyday Eye Contact in Williams Syndrome: Insights from Cross-syndrome Comparisons.

MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning (2022)
Book Chapter
Wang, J., Hodgson, R., & Cristea, A. I. (2022). MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning. In S. Crossley, & E. Popescu (Eds.), Intelligent Tutoring Systems (313-322). Springer Verlag. https://doi.org/10.1007/978-3-031-09680-8_29

In this paper, we propose an educational game framework allowing instructors to customise the game’s learning content in the context of cyber-security, with the aim of ensuring learners are engaged with educational games. This can further support the... Read More about MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning.

Intervention Prediction in MOOCs Based on Learners’ Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models (2022)
Book Chapter
Alrajhi, L., Alamri, A., & Cristea, A. I. (2022). Intervention Prediction in MOOCs Based on Learners’ Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models. In S. Crossley, & E. Popescu (Eds.), Intelligent Tutoring Systems (227-237). Springer Verlag. https://doi.org/10.1007/978-3-031-09680-8_22

High learner dropout rates in MOOC-based education contexts have encouraged researchers to explore and propose different intervention models. In discussion forums, intervention is critical, not only to identify comments that require replies but also... Read More about Intervention Prediction in MOOCs Based on Learners’ Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models.

The stakeholder’s roles in risk management related to food supply chain recalls: a systematic literature review (2022)
Journal Article
Oliveira, L., Silva, A. D., Pereira, C. R., & Chaudhuri, A. (2023). The stakeholder’s roles in risk management related to food supply chain recalls: a systematic literature review. The International Journal of Logistics Management, 34(1), 106-129. https://doi.org/10.1108/ijlm-05-2021-0261

Purpose: Food supply chains (FSCs) are becoming increasingly complex and vulnerable to recall risks due to quality failures. Measures for supply chain risk management can minimize these recall risks. However, this responsibility must be shared by all... Read More about The stakeholder’s roles in risk management related to food supply chain recalls: a systematic literature review.