Learning Management Systems (LMS) Professors and Supervisors

Shawn Douglas WolfeView profile

Academic

Salem State UniversityUnited States

Shawn Douglas Wolfe is Director of the American Language and Culture Institute (ALCI) and External English Language Programs at Salem State University, affiliated with the School of Continuing and Professional Studies. He also serves as a Visiting Instructor in the university's graduate TESOL program, where he teaches a course on assessing English language learners. His research and professional interests center on second language acquisition, multiliteracies, learning design, and the integration of technology in adult and higher education contexts. Key areas include Intelligent Computer-Assisted Language Learning (ICALL), Natural Language Processing (NLP), Computer Adaptive Testing (CAT), and data-driven instructional design. He has led initiatives to align curriculum with the Global Scale of English (GSE) to enhance personalized learning. Though no formal publications are listed, his work is reflected in multiple conference presentations focused on curriculum alignment with international language standards and innovative assessment practices. His leadership has driven a 37%+ increase in student enrollment and improved retention through strategic program development and staff training. West Virginia New Adult Educator of the Year (2012) As an academic advisor and mentor in the Intensive English Language Program, he supports student success and professional development of instructors. He has facilitated training on College and Career Readiness Standards, assessment methods, and the Understanding by Design framework. His administrative responsibilities include budget management, curriculum development, enrollment strategy, and international outreach. He has partnered with marketing teams to enhance ALCI visibility, launched a CRM system for outreach optimization, and integrated Canvas LMS for course delivery. His leadership emphasizes data-informed decision-making, teacher evaluation, and student placement accuracy.

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María del Carmen Carrión EspinosaView profile

Professor

University of Castilla–La ManchaSpain

Mª Carmen Carrión Espinosa is a Full Professor at the University of Castilla-La Mancha (UCLM) with a career spanning over 25 years. She teaches Computer Architecture in undergraduate and postgraduate programs and coordinates the bilingual Computer Engineering degree, which holds the Euro-Inf Bachelor quality award. Her research focuses on Fog computing, blockchain integration, and distributed systems management. University of Castilla-La Mancha - Full Professor (Computer Architecture) University of Cantabria - PhD in Physical Sciences Her research explores low-cost Fog infrastructures, container-based virtualization, and secure distributed architectures. Recent work includes federated learning on constrained devices and Kubernetes scheduling innovations. She has supervised 5 PhD and 15 Master's theses and contributed to 25 JCR-indexed publications. Key research trends include: Blockchain for fault-tolerant IoT systems Hybrid cloud-Fog resource orchestration Energy-efficient scheduling algorithms Educational technology innovations Scientific Awards: Extraordinary Degree Prize (1992) Euro-Inf Bachelor Quality Certification Active IEEE membership She leads the High Performance Networks and Architectures research group and has participated in 24 major projects, including CONSOLIDER-INGENIO 2010 as Task Leader. Her work bridges technical innovation with pedagogical excellence in cloud computing education.

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Shaidurova Olga ValerievnaView profile

Senior Lecturer

Siberian Federal University , sibFURussia

Shaidurova Olga Valerievna is a Senior Lecturer at the Department of Modern Educational Technologies within the Institute of Psychology and Pedagogical Sciences at Siberian Federal University . She holds two higher education degrees: in Information Systems in Social Psychology (Krasnoyarsk State Technical University, 2002) and Preschool Pedagogy and Psychology (Krasnoyarsk State Pedagogical University, 1995). Specialty: Computer Scientist-Social Psychologist Specialty: Methodologist for Preschool Education Her professional focus includes: Modern educational technologies Project management in academic contexts Development of electronic courses in LMS Moodle Strategies for student independent work Webinar organization and implementation She has accumulated 40 years of total work experience, with 25 years specifically in her academic specialty. Contact: oshaidurova@sfu-kras.ru

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Thierry SprietView profile

Associate Professor

Avignon UniversityFrance

Thierry Spriet is an Associate Professor in Computer Science at Avignon University, where he has served since September 1994. He currently holds multiple significant roles including Vice-President for Digital Technology and Educational Innovation, and Head of the CMI Computer Science degree and master's program since its creation in September 2018. His career demonstrates a strong commitment to academic excellence and educational innovation, with a focus on developing student creativity and 360° curiosity to position learners at the heart of future innovation. Spriet earned his DEA in Mathematics and Computer Science from the Faculty of Sciences of Luminy, Aix-Marseille II in 1987, followed by a Doctorate in Computer Science from the University of Avignon and the Pays de Vaucluse in January 1993. His academic journey includes positions as ATER at IUT d'Aix-en-Provence (1988-90, 1991-92) and UAPV (1993-94) before his permanent appointment. His research focuses on the intersection of educational technology and pedagogical innovation, with particular emphasis on hybrid and flipped classroom approaches, learning analytics, and pedagogical dashboards. He has pioneered the BoardZ pedagogical dashboard system to track student engagement through Learning Management System data. His work explores how institutional strategies impact pedagogical transformation, with numerous publications examining post-pandemic digital education experiences and competency-based approaches in higher education. His teaching philosophy centers on design thinking approaches to integrative projects that span multiple semesters. Analysis of Spriet's scholarly output reveals a clear evolution from foundational work in natural language processing (1998-2000) to contemporary research in educational technology (2015-2025). His recent publications demonstrate increasing emphasis on data-driven pedagogical approaches, with a strong focus on practical applications of technology to enhance teaching effectiveness and student outcomes in higher education settings. Spriet has demonstrated leadership in representing Avignon University in national educational initiatives including Unisciel (Digital University in Sciences), UOH (Open University of Humanities), and FIED (Inter-University Federation for Distance Education). He serves on the steering committee for the national 'digital platforms' project and is a founding member of VPNUM (association of digital vice-presidents), ADSI (association of Information Systems Directors), and MoodleMootFr. As Head of the CMI Computer Science program, he oversees a curriculum designed to produce future researchers and entrepreneurs through integrative project modules spanning four semesters. He also teaches the database modeling module using active teaching approaches that combine flipped classroom and peer learning methodologies, positioning students as active participants in their learning process.

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Volodymyr SokolView profile

Researcher

RWTH Aachen UniversityGermany

Dr. Volodymyr Sokol is a researcher at RWTH Aachen University’s College of Computer Science, specializing in Learning Technologies. He contributes to academic research and teaching in the field of educational technology and software engineering. His research focuses on adaptive learning systems, competency-based education, and the integration of AI into teaching processes. He works closely with the Department of Learning Technologies to develop scalable educational solutions. The articles in his portfolio highlight trends in intelligent educational technologies, competency frameworks, and adaptive content generation. These publications demonstrate expertise in aligning academic curricula with industry needs and leveraging knowledge management systems for learning. He has advised Master’s student Muhammad Abdullah on AI-related educational tools, emphasizing practical applications in IT training environments.

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Muhiddin AbdulkhakimovView profile

Lecturer

HSE UniversityRussia

Muhiddin Abdulkhakimov is a Lecturer in English Language at the Faculty of Computer Science , National Research University Higher School of Economics (HSE University), where he has been employed since 2021. His responsibilities include teaching English courses, supervising educational program realisation, and managing administrative tasks for the Data Science and Business Analytics program. Education: Master's in Linguistics (2021), HSE University International English Exam Assessment Specialist Course (2024), BKC-IH Moscow Teacher Training Centre Blended Language Learning: Design and Practice Certificate (2020), University of Colorado Future Leaders Exchange Program (2014), United States Department of State Harvard Community High School Certificate (2014) Research Interests: Muhiddin's work focuses on foreign languages and intercultural communication , with expertise in blended learning , language teaching methodologies , and the application of generative AI in education . His professional experience includes training in English language assessment and system-specific roles in HSE's Smart LMS platform. Employment History: English Language Teacher (2024–present), Faculty of Computer Science, HSE University Manager (2024–present), Faculty of Computer Science, HSE University Learning Development Coordinator (2022–2024), Centre for Independent English Language Assessment, School of Foreign Languages, HSE University English Language Tutor (2021–2022), School of Foreign Languages, HSE University English Language Teaching Assistant (2020–2021), School of Foreign Languages, HSE University

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Pedro Manuel Moreno MarcosView profile

Associate Professor

Charles III University of Madrid (UC3M)Spain

Pedro Manuel Moreno Marcos serves as an Associate Professor in the Department of Telematics Engineering at Charles III University of Madrid, where he maintains an active research profile in educational technology. His academic work bridges telecommunications engineering with data-driven educational innovation, focusing on the practical implementation of analytics in real-world learning environments across Spanish and European higher education institutions. His research centers on learning analytics and artificial intelligence applications in education, with particular expertise in student behavior modeling, dropout prediction, and AI-enhanced learning environments. Key contributions include developing predictive models using multi-source data, creating tools like Statoodle for cheating prevention in LMS platforms, and pioneering human-centered generative AI applications through projects like GENIE Learn. His methodological approach combines machine learning algorithm evaluation with institutional ethnography to address adoption challenges in learning analytics. Analysis of his 15 most recent publications reveals an accelerating focus on generative AI's educational potential since 2023, with increasing attention to ethical implementation frameworks and micro-credentialing systems. His work consistently addresses practical barriers in learning analytics adoption while maintaining strong connections to Spanish higher education contexts through projects like PALABRIA-CM-UC3M. No scientific awards were documented in the provided materials. While specific student supervision details aren't disclosed, his research methodology frequently involves multi-institutional collaborations across European higher education settings. Current projects indicate active grant funding for initiatives including SHEILA (Support Higher Education to Integrate Learning Analytics) and PALABRIA-CM-UC3M, though specific grant amounts and durations aren't specified in the source text. Dr. Moreno Marcos leads research within the university's learning analytics ecosystem, contributing to frameworks like SHEILA that inform institutional policy. His work with telepresence classrooms and IoT-enabled educational scenarios demonstrates engagement with emerging technology infrastructure, while his focus on multi-source data integration suggests leadership in developing comprehensive analytics platforms for complex educational environments.

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Arlene NicholasView profile

Professor

Salve Regina UniversityUnited States

Dr. Arlene Nicholas is a Professor in the Department of Business and Economics at Salve Regina University. With a Ph.D. in business administration from Touro University International (2007), she specializes in generational studies (Generation Z and Millennials), organizational behavior, and technology integration in education. Her work focuses on AI applications in business education, learning management systems, and online learning methodologies. B.S. in Biology (1992) M.A. in Human Resource Management (1994) M.S. in Information Systems Science (1996) Ph.D. in Business Administration (2007) Her research explores generational learning preferences , particularly Generation Z's engagement with digital education tools, and examines how AI transforms business education. She also investigates ethical frameworks for workplace surveillance , telework dynamics , and sustainable business models through benefit corporations. Her publications span from 2007 to 2025, reflecting sustained scholarly activity. Recent articles highlight AI ethics in academia , remote learning effectiveness , and workforce adaptation across generations. Her work combines technology impact analysis with pedagogical innovation , addressing both theoretical and practical challenges in modern business education.

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Arno Wilhelm WeidnerView profile

Researcher

Technical University of Berlin (TU Berlin)Germany

Dr. Arno Wilhelm-Weidner is a researcher at the Institute for Innovation and Technology (IIT) in Berlin, affiliated with the Education and Science department of VDI/VDE-IT. He works on digital transformation in education, focusing on artificial intelligence, educational technologies, and didactics of computer science. His roles include leading the project office for the National Education Platform and supporting the INVITE innovation competition. Education: Doctorate in E-Learning for Theoretical Computer Science (Technische Universität Berlin, 2020) Research Interests: Digital transformation, AI in education, data literacy, and didactic frameworks for computer science. Recent Publications (2025–2017): Studies on AI ethics, LLMs in professional development, sustainable EdTech, flipped classroom models, and Moodle-based learning systems. Projects: Digital Higher Education initiative, BMBF-funded INVITE competition, and national platform for digital education infrastructure.

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Michel C. DesmaraisView profile

Professor

Polytechnic School of MontrealCanada

Michel C. Desmarais is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has been faculty since 2002. With a PhD in Psychology from Université de Montréal, his research bridges artificial intelligence, educational technology, and human-computer interaction. He holds affiliations with IVADO and LAMA-WeST research groups, and has held visiting positions at Sorbonne University, Eindhoven Technical University, and other European institutions. His research focuses on three interconnected pillars: 1) Cognitive modeling and educational data mining , developing algorithms for student knowledge assessment and adaptive learning systems; 2) AI-driven educational tools , including automated grading systems and peer instruction platforms; and 3) Recommendation systems and user modeling , particularly for personalized learning interfaces. His work consistently applies machine learning to solve practical challenges in technology-enhanced education. Analysis of his 150+ publications reveals strong trends in educational NLP (sentence similarity for short-answer grading), generative AI (LLM-generated code validation), and Bayesian modeling (Q-matrix refinement). Recent work increasingly focuses on transformer architectures and real-world educational datasets. He maintains an active supervision record, having graduated 35+ graduate students. Current PhD candidates work on NLP for educational applications (Bakhtiari, Kamdem) and AI for engineering (Wang). His teaching covers user interface design, recommender systems, and intelligent interfaces. Professional service includes editorial leadership (JEDM journal), conference co-chairing (UMAP 2017, EDM founding), and grant review panels for NSERC, MITACS, and EU programs. Industry experience includes prior roles as R&D Director at MVM Inc. and researcher at Montreal Computer Research Center.

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Tiong-Thye GohView profile

Senior Lecturer

Victoria University of WellingtonNew Zealand

Dr. Tiong-Thye Goh serves as a Senior Lecturer at the School of Information Management, Victoria University of Wellington, with significant scholarly impact reflected in over 2,497+ Google Scholar citations, an h-index of 25, and an i10-index of 35. His research focuses on the utilization and impact of advanced technology across diverse settings, particularly in educational contexts and healthcare systems. Dr. Goh's academic service includes membership on the Advisory Board of the Journal of Educational Technology & Society and editorial roles for multiple international journals including the International Journal of Mobile and Blended Learning, International Journal of Mobile Human Interaction, and Journal of Information Technology Education. His expertise spans educational technology, artificial intelligence, learning analytics, and health informatics. His research interests center on AI applications for better living, including combating AI-driven threats, enhancing health and well-being through technology, improving AI-human interaction, and developing personalized learning systems. Recent publications demonstrate strong methodological rigor with applications in educational chatbots, knowledge tracing systems, and clinical decision support architectures. Dr. Goh's work shows a clear trajectory toward increasingly sophisticated applications of AI in real-world contexts, with recent publications emphasizing metacognitive aspects of learning, emotion computing, and system integration challenges in healthcare settings. His research bridges theoretical frameworks with practical implementations, particularly in educational technology and clinical decision support. Over 2,497+ citations on Google Scholar h-index of 25 i10-index of 35 Advisory Board member, Journal of Educational Technology & Society Editorial board member for multiple international journals Though Dr. Goh states he is currently not accepting new Master's and PhD theses, he maintains active doctoral supervision in AI applications for fraud detection. His teaching portfolio spans foundational courses in databases and data science to advanced topics in information systems theory, reflecting his commitment to developing both technical and conceptual understanding among students.

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Perry ChristensenView profile

Associate Professor

Brigham Young University-HawaiiUnited States

Perry Christensen serves as Associate Professor in the Department of English within the Faculty of Education & Social Work at Brigham Young University–Hawaii. His dual affiliation extends to Religious Education, where he teaches sheltered Religion classes for EIL students. With over three decades of institutional connection since 1988, he has progressed from student to educator while contributing significantly to TESOL and EIL programs. His educational background includes an EdD from California Coast University (2001), MBA from Hawaii Pacific University (1994), and BA in Russian with Hebrew minor from University of Utah (1989). Additional training encompasses biblical Hebrew studies, Tongan language courses, and specialized institutes in second language acquisition. Christensen's research centers on TESOL pedagogy, with emphasis on educational technology integration , language assessment methodologies , and cross-cultural language experiences . His work explores practical applications like LMS sandboxes for teacher training, virtual language exchanges, and the parallels between musical skill acquisition and language learning. Recent publications analyze pandemic-era adaptations in language education and global conference trends. Professional recognition includes Faculty Recognition Stipends for 2010-2011 and 2014-2015. His innovative Facebook Live Fridays series connected 383+ TESOL alumni globally through panel discussions on teaching methodologies. Christensen actively develops curriculum for EIL/TESOL programs while maintaining creative pursuits in steel band composition. His current projects focus on virtual language experiences and technology-enhanced assessment tools, continuing his legacy of blending academic rigor with practical classroom innovation.

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