The International Workshop on Semantic Technologies in Ubiquitous, Massive and Smart Learning (STUMS) was held for the first time as part of IEEE INCoS 2014 in Salerno (Italy) on 10-12 September 2014. In the first edition, STUMS focused on Semantic Technologies and Computational Intelligence approaches enabling Ubiquitous Learning, MOOCs and Smart Learning Environments. Starting from the promising results of the 2014 edition, the main idea underlying the STUMS initiative, in 2015, is to investigate the importance of defining frameworks and technologies for supporting Seamless Learning.

A Seamless Learning experience, for an individual, is characterized by the capacity to sustain the continuity of learning by connecting learning activities across locations, times, technologies, social settings and integrating different approaches to teaching, learning and assessment. The main anticipated impact of this capacity is to obtain no apparent gaps between different frames of an holisitic learning experience. Such frames can be filled, for instance, with formal, informal-intentional or accidental learning activities supported by various technologies. Hence, Smart Learning Environments, Mobile Learning, Context-aware Learning and ultimately, Ubiquitous Learning can be considered as parts which have to fit together representing the whole Seamless Learning experience.

In such a scenario, STUMS 2015 aims to provide a forum to investigate approaches, frameworks and technologies which sustain continuity in Seamless Learning experiences, alignment of formal and informal activities and adaptation of both the whole experience and its parts.

Continuity is mainly referred to both considering and preserving, across different activities, common learning objectives and recognition of prior learning.

Alignment can be seen as an enabler for continuity and, among the other aspects, it has to provide smooth mechanisms to synchronize the learning design in formal activities with the informal learning events which are not planned and designed.

Both continuity and alignment are tuned to allow forms of adaptation (guided by instructors or learners) of the learning experience, facilitated by decision support systems and educational data analysis.

The main goal of this workshop is to bring together researchers and practitioners who are interested in addressing issues and challenges related to Seamless Learning mostly, but not exclusively, by leveraging on Semantic Technologies and Computational Intelligence techniques. Interdisciplinary works (e.g. fusion of pedagogies and technologies), theoretical papers and papers describing practical experiences (also in designing and developing systems and applications) will be welcome.

The topics of interest include but are not limited to:

  • Ontology Learning from Informal Learning Activities
  • Ontology-driven methodologies and tools for Instructional Design
  • Ontology Alignment algorithms and frameworks
  • Adaptive/Personalized Learning and Intelligent Tutoring Systems in Seamless Learning
  • Methodologies and technologies for Learning  and Teaching in Smart Education
  • Game-based Education in the Smart City
  • Integration and Interoperability for Seamless Learning
  • Big Data Analytics for TEL
  • Data-driven Learning and Assessment
  • Affective Computing and Emotion Detection in Smart Learning Environments
  • Situation, Context, Learner and Group Modeling
  • Context-awareness and Situation-awareness in Seamless Learning
  • Social Semantic Web as Enabling Platform for MOOCs and MOOC Networks
  • Semantic and Social Sensor Networks supporting Situation Assessment in Learning Scenarios
  • Semantic, Mobile and Gesture-based Interfaces
  • Social and Semantic Technologies to enable Serendipitous Learning
  • Collective Knowledge supporting (semi) automatic generation of Learning Content
  • Data Visualization and Visual Data Analysis for Decision Support Systems in Education