Educational Technology and Learning Innovation
Summary
Educational technology and learning innovation encompasses the design, deployment and evaluation of digital tools and pedagogical approaches to enhance learner engagement, personalisation and outcomes across formal and informal settings. The field integrates insights from cognitive science, instructional design, human–computer interaction and data analytics to inform the development of platforms ranging from adaptive learning systems to immersive reality simulations. Recent shifts have centred on the incorporation of generative artificial intelligence, the mobilisation of real-time learning analytics and the reconstruction of teaching workflows for online and hybrid contexts. These advances aim to foster equitable access, support diverse learning pathways and enable evidence-based interventions, while addressing ethical considerations and infrastructural challenges. The global surge in remote and flexible learning has accelerated experimentation with synchronous and asynchronous modalities, spurring innovation in assessment, collaboration and self-regulated learning strategies. As technologies evolve, the emphasis remains on aligning tools with pedagogical theories and on rigorous empirical evaluation to ensure scalability and inclusivity.
Research from Nature Portfolio
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Educational Technology and Learning Innovation publication trend
The graph below shows the total number of articles in educational technology and learning innovation across all publications each year (not limited to Nature Index journals).
Technical terms
Generative artificial intelligence: Systems that create novel text, images or other media by learning patterns from large datasets.
Unified Theory of Acceptance and Use of Technology (UTAUT): A framework modelling user intentions to adopt and use technological innovations.
Protection Motivation Theory (PMT): A theory explaining how threat and coping appraisals influence behavioural intentions in risk contexts.
Structural Equation Modeling (SEM): A statistical technique for testing and estimating causal relations using a combination of factor analysis and multiple regression.
Fuzzy sets Qualitative Comparative Analysis (fsQCA): An analytic method combining case-based logic and fuzzy set theory to identify configurations of conditions leading to outcomes.
Synchronous collaborative tools: Digital platforms enabling real-time interaction and co-creation among learners and instructors.
References
- Exploring the paradoxical use of ChatGPT in education: Analyzing benefits, risks, and coping strategies through integrated UTAUT and PMT theories using a hybrid approach of SEM and fsQCA. Computers and Education Artificial Intelligence (2024).
- Emergency remote teaching in higher education: mapping the first global online semester. International Journal of Educational Technology in Higher Education (2021).
- Exploring four decades of research in Computers & Education. Computers & Education (2018).
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