Mar Pérez-Sanagustín is an Associate Professor at the Institute de Recherche en Informatique (IRIT) , Université Toulouse III Paul Sabatier. She actively participates in international conferences such as EIAH, ATICA, and EDEN, focusing on Technology Enhanced Learning (TEL), Smart Cities, and MOOCs. Award-winning researcher with the 1rst ITWorldEdu Award and Best Demo Award at ECTEL 2013 Specializes in datafication in education, collaborative learning, and social media integration Research interests include: Technology Enhanced Learning (TEL) and its intersection with computer science Smart Cities Learning ecosystems and context-aware services Massive Open Online Courses (MOOCs) and educational analytics Space-aware design for mobile learning Personal Learning Environments and collaborative tools Her recent publications analyze trends in TEL methodology, the PROF-XXI Framework, and global blended learning initiatives. She actively collaborates with institutions like Universidad Carlos III, UNED, and BUAP de México, and has been invited to keynotes and workshops across Europe and Latin America. Scientific awards: 1rst ITWorldEdu Award (2014) for educational technology solutions Best Demo Award at ECTEL 2013
Maria Teresa Abad Soriano is affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Faculty of Computer Science (FIB), Department of Computer Sciences. She is a researcher in the GPLN - Natural Language Processing Group and the TALP Research Center, contributing to both educational technologies and computational linguistics. Her work spans decades, showing sustained academic engagement. Her research interests focus on educational technology, higher education internationalization, computer-supported collaborative learning, distance learning systems, knowledge representation, and academic mentorship . These are reflected in her long-term involvement in projects related to e-learning platforms, tutoring systems, and institutional development in computing education. The analysis of her recent publications (2019–2024) reveals a strong trend towards the internationalization of higher education in computing, with detailed studies on mobility, academic policies, and institutional impact. Earlier works (1990s–2000s) center on algorithmic education, groupware modeling, and intelligent tutoring systems, showcasing a career that evolved from technical AI and educational software to broader educational policy and management. She has contributed to competitive R&D+i projects such as OPENMT and SKATeR, and has co-authored technical reports, conference papers, and indexed journal articles. Her collaborations include key figures like Nuria Castell, Juan Antonio Pastor, and Maria Felisa Verdejo. Scientific Awards: No scientific awards were mentioned in the provided text. She has supervised or contributed to the Doctoral Program in Business Administration and Management, and her technical and educational outputs suggest an advisory role in research, though specific students are not listed. She has participated in multiple competitive research projects funded under Spain’s National Research Plans, indicating success in grant acquisition. Her work with open datasets and technical documentation supports open science and institutional transparency. She is actively involved in research groups such as GPLN and TALP, which focus on natural language processing and language technologies, contributing to both theoretical and applied advancements in the field.
Ishari Amarasinghe is a Lecturer at Pompeu Fabra University (UPF), Barcelona, with expertise in educational technology and learning analytics. She holds a Ph.D. in Information and Communication Technologies (with Summa Cum Laude and International Mention) and a Master’s in Intelligent Interactive Systems. Her research focuses on data-driven approaches in hybrid learning environments, teacher orchestration, and generative AI ethics in education. She has contributed to EU-funded projects and serves on editorial boards and conference program committees (e.g., Computers & Education, ISLS, ECTEL). Education: Ph.D. in Information and Communication Technologies, UPF (2020) M.Sc. in Intelligent Interactive Systems, UPF (2015) Research Interests: Data science techniques for uncovering learning patterns, predictive algorithms for educational trends, and interactive dashboards for actionable insights. Her work emphasizes human-centered AI solutions and responsible technology use. Recent studies include exploring teacher orchestration load in collaborative learning and generative AI governance in universities. She has published widely in journals like Computers & Education and BJET, and conferences such as ISLS and IEEE TLT. Her 2024 work focuses on hybrid learning orchestration and AI ethics. She has also organized workshops on topics like ‘Actionable Learning Analytics’ and ‘Orchestrating Hybrid Learning Scenarios’. Awards: PhD with Excellent, Summa Cum Laude, and International Mention (UPF, 2020) Favorable Tenure-elegible Lecturer Evaluation (AQU Catalunya, 2023) Teaching: Received high evaluations for her Introduction to ICT course (9.3/10 in 2022–2023).
Miguel A. Redondo is a Full Professor at the Department of Tecnologías y Sistemas de Información, University of Castilla-La Mancha (Spain), since 2019. He holds a PhD in Computer Science and Engineering from the same university (awarded in 2002). Research Focus : eLearning, Human-Computer Interaction (HCI), Software Engineering, and eye-tracking assessment. Affiliation : Universidad de Castilla-La Mancha, Campus de Ciudad Real, Spain. His academic career centers on designing model-driven and AI-powered tools to enhance programming education. Key contributions include the GreedEx Tab system for algorithm learning and the COLLECE 2.0 collaborative programming environment. He has pioneered the integration of genetic algorithms for optimizing group learning dynamics and developed immersive systems for algorithmic thinking through augmented/virtual reality. His work spans educational technology , collaborative software , and adaptive learning frameworks . Recent publications emphasize m-learning usability (2024), machine learning in healthcare (2023), and personality-driven group organization (2021). He frequently collaborates with researchers like Ana I. Molina and Yoel Arroyo on topics such as educational data mining and visual modeling languages . While no formal student list or awards are provided in the source text, his leadership in model-driven development for CSCL tools has been cited in numerous works across IEEE, ACM, and Springer venues.
Davinia Hernandez Leo is a Full Professor and Serra Húnter Fellow at the Department of Information and Communication Technologies, School of Engineering, Universitat Pompeu Fabra (UPF) in Barcelona. She serves as the head of the Interactive and Distributed Technologies for Education (TIDE) research group and is the Commissioner for research in educational innovation at UPF. She is also currently an ICREA-Academia fellow (2019-2024). Dr. Hernandez Leo received her Telecommunications Engineering degree and Ph.D. from Universidad de Valladolid, Spain, in 2003 and 2007, respectively. She has held visiting positions at Open University of the Netherlands (2006), Virginia Tech as a Fulbright Scholar (2012), and University of Sydney (2015). She previously served as Vice-Dean of the UPF Engineering School and head of its Unit for Teaching Quality and Innovation. Her research lies at the intersection of human-centered computing, network and computer applications, and learning sciences. She focuses on Learning and Collaboration Technologies, with specific interests in learning design technology, computer-supported collaborative learning (CSCL), community platforms, learning analytics, and architectures and devices for learning. Currently, she is investigating the interplay of learning design with data analytics, with an emphasis on CSCL. Her work often addresses social inclusion through technology, particularly with vulnerable populations including adults without academic degrees. Dr. Hernandez Leo's recent publications demonstrate a clear trajectory toward integrating ethical considerations with learning analytics, supporting teacher communities through design tools, and exploring collaborative learning environments in both formal and informal settings. Her work bridges theoretical research with practical applications, particularly evident in her collaborations with organizations like Àgora. Best Paper Awards at ICALT2004, ID+TIC2009, and CAE2010 Finalist Best Papers at EDEN2015 and ICALT2020 Best Demo Recognitions at ECTEL2013, ECTEL2018, and ECTEL2021 European Award for Excellence in CSCL Technology ICREA Academia Prize (2019-2024) Multiple teaching recognitions from UPF and Catalan Government Dr. Hernandez Leo is very active in research supervision of PhD students and visitors, and has led numerous European and national research projects including METIS Integrated Learning Design Environment. She has served as Associate Editor for IEEE Transactions of Learning Technologies, Vice-President of the European Association for Technology-Enhanced Learning, and chair of the IEEE ICICLE SIG on Learning Technology Data Standards. Currently, she is an elected member of the CSCL Committee within the International Society of the Learning Sciences and a member of the steering committee of the European Conference on Technology-Enhanced Learning. She leads the Interactive and Distributed Technologies for Education (TIDE) research group, which has established a significant collaboration with Àgora, a non-profit organization supporting adults without academic degrees. Through this partnership, her team has developed technologies for active aging, digital literacy programs, and platforms for community engagement, demonstrating a strong commitment to applying learning technologies for social inclusion and community empowerment.
Manuel Ortega is a Full Professor at the Department of Information Technologies and Systems , Universidad de Castilla-La Mancha , Spain. His career spans over three decades, with a focus on Human-Computer Interaction (HCI) , Collaborative Learning , and Algorithmic Thinking . Education : Bachelor (1982), Master (1983), and Ph.D. (1990) in Physical Chemistry from the Autonomous University of Barcelona . Research Interests : CSCL (Computer-Supported Collaborative Learning) CSCW (Computer-Supported Cooperative Work) Eye Tracking for Usability Analysis Algorithm Visualization Groupware Systems Mobile and Immersive Learning Article Trends : His recent work explores collaborative mobile applications , AR for education , and microgrid energy systems , reflecting interdisciplinary interests bridging computer science , education , and sustainable energy . Teaching & Collaboration : He co-developed tools like COLLECE-2.0 (collaborative Eclipse programming), CodES (algorithmic visualization), and Excursiona (nature excursions). He has collaborated extensively with researchers like Ana Isabel Molina Díaz and César Collazos.
Dr. John Carroll is Edward M. Frymoyer Professor of Information Sciences and Technology at Pennsylvania State University, where he co-directs the Laboratory for Computer-Supported Collaboration and Learning (CSCL). PhD in Psychology from Columbia University. Pioneer in Human-Computer Interaction field, founded IBM's User Interface Institute. Research focuses on HCI, design patterns, and collaborative learning systems. Extensive publication record on pattern languages and emergency management systems. Awards: ACM Fellow and SIGCHI Fellow ACM Lifetime Achievement Award IEEE Fellow HFES Honorary Fellow IEEE Goldsmith Award
Emily Theophilou is a postdoctoral researcher at the Department of Information and Communication Technologies at Universitat Pompeu Fabra (UPF), Barcelona. She is affiliated with the Interactive and Distributed Technologies for Education (TIDE) Group. Her academic journey includes a BSc in Multimedia Computing (First Class) from Coventry University (UK) and a Master’s in Cognitive Systems and Interactive Media from UPF, followed by a PhD from UPF. Her research focuses on Technology-Enhanced Learning, Social Emotional Learning, Music and Education, and leveraging social media for educational purposes. Her work explores innovative educational methodologies, such as AI-driven assessment tools, empathy training in cyberbullying prevention, and narrative scripts embedded in social media platforms. She investigates how technology can address challenges like algorithmic transparency, digital literacy, and collaborative learning dynamics. Her recent publications highlight trends in AI ethics, chatbot interactions, and gender dynamics in digital learning environments. She also examines the impact of nudging principles on user safety and the role of social media in adolescent behavior development. Emily’s contributions include developing tools like Soéle for evaluating social awareness in learning designs and exploring distributed learning models. She emphasizes educational narratives and collaborative scripts to enhance critical thinking and self-protection skills among students.
Néstor Mora Nuñez is a Professor at the University of Cádiz, specializing in Computer Architecture and Technology within the Department of Automation, Electronics, Architecture and Computer Networks Engineering. His work focuses on interactive science, technology, engineering, and applied mathematics (TIC248 Research Group), with strong ties to Information and Communication Technologies. Education : Doctor in Information and Network Technologies (Universitat Oberta de Catalunya, 2016), Master in Research in Education and E-learning Research interests include collaborative learning, CSCL (Computer-Supported Collaborative Learning), ubiquitous learning applications, and virtual communities. His publications highlight innovations in smart learning environments, chatbot-assisted education, and assessment frameworks for collaborative scenarios. Key article trends span collaborative learning technologies (2011-2023), e-assessment systems (2014-2016), gamification in engineering education (2019), and emergency communication applications (2023). Notable subfields include cognitive assessment, social network integration, and virtualization of educational resources. Based at the Escuela Superior de Ingeniería, Av. Universidad de Cádiz, Puerto Real, Spain, he contributes to educational technology and ICT design for higher education.
Manuel Ortega Cantero is a Professor at the Department of Information Technology and Systems within the School of Computer Science at the University of Castilla-La Mancha. His work spans Human-Computer Interaction, Collaborative Learning (CSCL), Eye Tracking, and Augmented Reality applications in education. Current research focuses on Generative AI in teaching, including LLMs and Diffusion Models Collaborative programming tools like COLLECE 2.0 and RoboTIC Empirical studies on eye tracking for educational material evaluation His recent publications explore algorithmic thinking development, CSCL systems, and Z-source converter optimization. Teaching activities include Webinars on Human-Computer Interaction and talks at secondary schools and academic conferences. Contact: Manuel.Ortega@uclm.es
