Digitalisation in Chemical Engineering Education: AI-Enabled Teaching, Learning, and Assessment — Perspectives from the World
DETAILS
CALL FOR PAPERS
Digitalisation in Chemical Engineering Education: AI-Enabled Teaching, Learning, and Assessment — Perspectives from the World
Journal: Education for Chemical Engineers
Publisher: Elsevier
Submission Deadline: 1 August 2026
Introduction
Digitalisation is fundamentally transforming chemical engineering education — driven by rapid advances in AI, data-centric engineering practice, and digitally enabled learning environments. At the same time, chemical engineering programmes face increasing pressure to modernise curricula, enhance student engagement, assure academic integrity, and align graduate attributes with evolving industry and societal needs.
This Special Issue examines how digitalisation — positioning AI as a powerful but not exclusive enabler — is reshaping teaching, learning, and assessment in chemical engineering education worldwide. It explores AI alongside complementary digital approaches such as simulation, virtual and remote laboratories, data analytics, digital twins, learning analytics, and automated feedback.
Scope & Significance
The scope of this Special Issue encompasses both strategic and practice-oriented perspectives on integrating AI and digital technologies across undergraduate, postgraduate, and professional chemical engineering education.
Contributions are invited that critically examine how digital tools support:
Conceptual understanding and design thinking
Systems-level reasoning and professional skill development
Disciplinary rigour and accreditation requirements
Emphasis is placed on evidence-based approaches, pedagogical innovation, and transferable lessons relevant across diverse institutional and cultural contexts. Global and cross-cultural viewpoints are particularly encouraged.
List of Topic Areas
Manuscripts are invited on themes including, but not limited to:
AI-enabled teaching and learning approaches — adaptive learning, intelligent tutoring systems, and generative AI-supported pedagogy
Digital and AI-enhanced assessment design, automated feedback, learning analytics, and academic integrity
Simulation-based learning, virtual, augmented, and remote laboratories — complementing or replacing physical laboratory experiences
Digital twins, data-driven modelling, and industry-aligned digital workflows in chemical engineering education
Curriculum design, programme-level digitalisation strategies, and alignment with accreditation and graduate competency frameworks
Staff development, change management, and institutional readiness for AI-enabled education
Student digital capability development, employability, and preparation for digitally intensive engineering practice
Ethical, responsible, and inclusive use of AI and digital technologies — bias, transparency, accessibility, safety, and sustainability
Industry-academia collaboration in digitalising chemical engineering education
Cross-cultural and international perspectives on AI-enabled chemical engineering pedagogy
Guest Editors
Prof. Mo Zandi University of Sheffield, UK Email: m.zandi@sheffield.ac.uk
Prof. Brent Young University of Auckland, New Zealand Email: b.young@auckland.ac.nz
Dr. Michaela Pollock University College London (UCL), UK Email: m.pollock@ucl.ac.uk
Key Deadlines
Manuscript Submission Opens: 1 February 2026
Manuscript Submission Deadline: 1 August 2026
Submission Guidelines
To submit your manuscript, visit the official Education for Chemical Engineers journal page on the Elsevier ScienceDirect website and select Article Type:
"VSI: Digital ChemE Education"
during the submission process to indicate that your paper is intended for this Special Issue.
The Special Issue welcomes empirical research studies, systematic evaluations, practical case studies, curriculum innovations, reflective analyses, and perspectives informed by collaboration with industry or professional bodies.
All submissions must be original and must not be under review elsewhere at the time of submission.
About the Journal
Education for Chemical Engineers, published by Elsevier, is a leading international peer-reviewed journal with a CiteScore of 10.8 and Impact Factor of 2.3. It supports open access publishing and is dedicated to advancing research and practice in chemical engineering education — providing a global platform for scholars and educators exploring curriculum innovation, pedagogy, assessment, and the integration of digital technologies across chemical engineering programmes worldwide.
ServiceSetu Academics — Premier Platform for Academic Opportunities & Research Collaboration
COMMENTS (0)
Sign in to join the conversation
SIGN IN TO COMMENT