Artificial Intelligence in Education: Transforming Teaching and Learning Practices


Dr. Samantha M. Curle
University of Bath, United Kingdom

Dr. Samantha Curle (DPhil, FHEA, FRSA) is a Reader in Education (Applied Linguistics), Director of the MRes programme in Advanced Quantitative Research Methods (AQM, University of Bath), Pathway Lead for the ESRC’s AQM Southwest Doctoral Training Partnership (SWDTP, University of Bath), and Associate Member of the English Medium Instruction Oxford Research Group (University of Oxford). Her main research interest lies in factors affecting academic achievement in English Medium Instruction (EMI) in higher education. She has published six edited books on EMI with publishers such as Cambridge University Press, Springer, Bloomsbury and Routledge. She is currently editing a special issue on “Research Methods and Generative Artificial Intelligence in Applied Linguistics” in the journal Research Methods in Applied Linguistics. Her EMI-related research has been published in journals such as Studies in Higher Education (HI 129), Journal of Engineering Education (HI 126), Language Teaching Research (HI 81), Language Teaching (HI 79), Journal of English for Academic Purposes (HI 75), International Journal of Bilingual Education and Bilingualism (HI 68) and Applied Linguistics Review (HI 31). More

AI-Driven HR: Navigating the Intersection of Technology, Sustainability, and Talent Management


Dr. Jing Yi Yong
Taylor's University Malaysia, Malaysia

Dr. Yong Jing Yi is a distinguished faculty member at the Faculty of Business & Law, Taylor’s University. Specializing in Strategic Human Resource Management, Intellectual Capital, Sustainability, Environmental, Social, and Governance (ESG), and Small and Medium-sized Enterprises (SMEs), Dr. Yong conducts cutting-edge research in Green Human Resource Management (Green HRM), Electronic Human Resource Management (E-HRM), intellectual capital, and sustainability. Her research delves into sustainable business practices and the impact of technology on HRM, aiming to support long-term organizational success. In addition to her teaching responsibilities, Dr. Yong mentors doctoral students, guiding them in their academic and professional development. With over 2000 citations on Google Scholar and a Scopus h-index of 9, Dr. Yong’s extensive publication record and active participation in professional organizations underscore her significant contributions to the HRM field. She is recognized for her commitment to advancing sustainable and strategic HRM practices, demonstrating leadership and dedication in her field of expertise. More

Statistics, AI Innovations, and Risk Analysis in E-learning


Dr. Teresa A. Oliveira
Universidade Aberta, Portugal

Teresa A. Oliveira is Associate Professor with Habilitation, in Mathematics-Statistics, at the Department of Sciences and Technology of the Universidade Aberta in Lisbon. She obtained MSc and doctoral degrees in Statistics and Operations Research at the University of Lisbon and is a senior member of the Center of Statistics and Applications (CEAUL) there. Her research interests include Experimental Design, Statistical Quality Control, Risk Analysis, Statistical Modeling, Computational Statistics, Stochastic Models, Data Analysis, and e-Learning Methodologies. She actively participated in many Erasmus+ Bilateral and Teaching Programs and was selected by the National Agency as an evaluator for Erasmus+ during 2021/2027. She is the Chair of the ISI-CRA International Statistical Institute - Committee on Risk Analysis and is a founding member of the ISI Working Group on Data Science. With extensive editorial experience, she is Associate Editor of JAS - Journal of Applied Statistics and of MPS - Mathematical Population Studies and is also member of some other prestigious Journal Editorial Boards. She has authored/co-authored numerous peer-reviewed international and national papers, books, special issues, and proceedings, and her main research results were presented at many conferences, workshops, courses, and invited seminars worldwide. Her scientific and academic contributions continue to inspire new research and innovation, which is clearly reflected in the huge number of theses and dissertations under her supervision, in various courses, and in several universities. More

Advantages and Difficulties Experienced in Teaching Mathematics Units


Dr. M. Filomena Teodoro
Universitary Military Institute, Portugal

Prof. Filomena Teodoro  is Associate Professor in Mathematics and Statistics at DCeT- Naval Academy, Universitary Military Institute, in Almada, Portugal. Her MSc degree in Statistics and Information management was completed in Nova -IMS, New University of Lisbon, her diploma degree in Physics Engineering and doctoral degree in Computational Mathematics were obtained at Instituto Superior Técnico, Technical University of Lisbon. She is a senior member of the CEMAT, https://cemat.ist.utl.pt/main.php. Her research interests include Computational Mathematics, Computational Statistics, Mathematics Applied to Medicine, Biomathematics, Risk Analysis, Data Analysis, and e-Learning Methodologies. She was Erasmus coordinator from 2014 to 2023 contributing  to many Erasmus+ Bilateral  Programs and participating actively in many of them. She has active editorial experience as   Associate Editor  and invited Editor in some Editorial Boards of well known peer-reviewed international Journals,  in some special issues or some proceedings. Also, she has more than  one hundred publications. More.