Call for paper open: TLT Special Issue on Technologies for Data-Driven Interventions in Smart Learning Environments

(Madrid, July 6th, 2021) The IEEE Transactions on Learning Technologies prepares a special issue on Technologies for Data-Driven Interventions in Smart Learning Environments. Pedro J. Muñoz Merino, member of the eMadrid network, professor at UC3M and coordinator of the LALA project is one of the guest editors. Those interested have until October 15 to send their abstracts and until December 15 for full papers. The submission of abstracts can be done through the address This email address is being protected from spambots. You need JavaScript enabled to view it. and, although it is not mandatory, it is recommended to receive feedback from the editors on the suitability of the paper in question.

Smart learning environments (SLEs) have been recently defined as learning ecologies wherein students perform learning tasks and/or teachers define them with the support provided by tools and technology. SLEs can encompass physical or virtual spaces in which a system senses the learning context and process by collecting data, analyzes the data, and consequently reacts with customized interventions that aim at improving learning.

Even though there is already a significant body of research around learning analytics and educational data mining techniques that can be applied to learning and teaching interventions, the specific theme of how to create and use technologies that facilitate the data-driven initiation, management, adaptation, and evaluation of such interventions in pedagogically sound and ethically defensible ways within the context of SLEs still remains underexplored. This special issue aims to highlight and showcase new perspectives and advances in that regard, and to that end especially welcomes contributions reporting rigorous inquiries and investigations into the technical and design dimensions of technological solutions for enabling various types of intervention that can improve the efficiency and effectiveness of SLEs.

Topics of interest for this special issue include, but are not limited to: technology-supported data-driven interventions in different contexts (e.g., formal, informal) and spaces (e.g., physical, virtual) in SLEs; systems based on learning analytics techniques (e.g., predictive models) to trigger interventions in SLEs; tools based on visualization techniques (e.g., dashboards) and sensemaking approaches to trigger interventions in SLEs; recommender systems supporting intervention processes in SLEs; adaptive systems to optimize and personalize the learning and assessment process in SLEs; multimodal and across-spaces systems based on learning analytics supporting technology-mediated interventions in SLEs; Internet of Things (IoT) technologies for data-driven interventions in SLEs, etc.

More info here.

The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.

 

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