Gloria Molinero

Dr Gloria Molinero serves as a Lecturer in Technical Language and Academic Skills within the School of Physical and Chemical Sciences at Queen Mary University of London's Faculty of Science and Engineering. She holds key responsibilities as module organiser and Chair of the academic misconduct committee for the Queen Mary School Hainan Programme, ensuring quality in learning and teaching across transnational educational frameworks.

Her academic foundation includes a Doctorate in Education from the University of Liverpool, complemented by dual expertise in applied mathematics and linguistics. With over a decade of experience across UK and Chinese universities, she has developed specialized knowledge in language acquisition pedagogy and academic skills development for science and engineering contexts.

Dr Molinero's research pioneers intersections between artificial intelligence and educational innovation, with three core thrusts: AI-driven assessment systems that enhance academic integrity through real-time feedback and adaptive learning analytics; computational linguistics applications decoding neural language processing mechanisms; and gender equity initiatives in STEM education. Her work emphasizes interdisciplinary collaboration to foster student autonomy and dynamic classroom environments through technological integration.

Publication analysis reveals consistent contributions to transnational education models since 2018, with accelerating focus on AI applications in educational assessment and language acquisition since 2023. Recent outputs demonstrate methodological evolution from phenomenological analysis of collaborative delivery to cutting-edge LLM implementations for classroom dynamics optimization.

No scientific awards were documented in the provided materials.

Dr Molinero actively mentors postgraduate researchers and currently leads an AI/LLM project for language recognition systems to enhance classroom interaction patterns. She explicitly welcomes MSc, EdD, and PhD candidates for projects in her specialty areas, with current supervision spanning academic integrity frameworks and computational linguistics applications.