Self-regulated learning (SRL), which is directly associated with learning and academic achievement, is a transferable skill that can also guide students’ future paths to study and work. SRL can be taught and learned; it is not an innate skill. Students can self-regulate their learning by keeping track of their own learning process (i.e., monitoring) and use that information to facilitate their learning process and improve their learning outcomes. Still, SRL is difficult for students, as they are not capable of accurately judging their own learning processes. With the increasing use of mobile technologies, offerings of anywhere, anytime communication and data gathering becomes feasible. In this regard, the concept of measuring, collecting, analyzing and reporting of data about learners and their learning environments (i.e., learning analytics) is enabled thus, affording opportunities for learners to exercise and develop SRL. This presentation will focus on the potential of mobile learning analytics to support and measure students’ SRL, including SRL- strategies, skills and knowledge.
Olga Viberg is Assistant professor in Media Technology with specialization in Technology-Enhanced Learning, Department of Media Technology and Interaction Design, KTH Royal Institute of Technology, Stockholm, Sweden. Her fields of expertise include Technology Enhanced Learning, Self-Regulated Learning, Learning/Teaching Analytics, Mobile Assisted Language Learning, Second Language Acquisition, Learning Design, Structuration in Mobile learning, Design Science Research in Education, Interaction Design, Formal and Informal Learning. Her research includes a focus on learning analytics in education, the application of mobile technology (in second language learning and mathematics) in education, the integration of formal and informal learning environments, design for learning, and a particular focus on students’ self-regulated learning in relation to their use of technology for learning purposed. Moreover, she is interested in how current emerging technologies are used in schools, both by teachers and pupils/students, nationally and internationally, and how we can support teachers as designers of technology-enhanced learning (TEL) in schools. Her work has been published in many referred journals and conferences.
Augmented Reality (AR) is on the way to establishing itself in business and teaching once more. However, there is a lack of uniform guidelines or even standards both in the creation of teaching materials and in the use of AR in teaching. In addition, the industry needs enough well-trained specialists who can implement the established AR concepts, making a transfer from university to industry necessary. Therefore, in this talk we address both challenges in learnning with AR and the special needs of teaching about AR.
As learning with AR will surely advance human performance and also brings in new perspectives with the communication, coordination and collaboration of AR in supporting human performance. As computer scientists, we have a European, interdisciplinary and application-oriented perspective, as our experience comes from several funded European projects in these areas. We also incorporate new incentives into teaching contexts in our framework, such as gamification, learning analytics and experience capturing. In addition, we refer to international standardization efforts such as IEEE ARLEM.
Teaching about AR adopts a multi-perspective view. First, there is scientific and technological basic knowledge helping to understand the underlying physical and technical principles. Second, there is engineering and design knowledge to master the creation, fabrication, and utilization of AR in many ways. Third, there is the necessary pedagogical knowledge to transform these complex settings in manageable teaching scenarios and processes, e.g. for higher education curricula. Here, teaching AR can learn from traditions of science and engineering education as well as from more recent knowledge about computer science education. Examples from recent and on-going European projects will illustrate the argumentation.
PD Dr. rer. nat. Ralf Klamma holds diploma, doctoral and habilitation degrees in computer science from RWTH Aachen University. He leads the research group “advanced community information systems” (ACIS) at the information systems chair, RWTH Aachen University. He is known for his work in major EU projects for Technology Enhanced Learning (PROLEARN, GALA, ROLE, Learning Layers, TELMAP, Tellnet, CUELC, SAGE, BOOST, VIRTUS and WEKIT). Ralf organized doctoral summer schools & conferences in Technology Enhanced Learning, Web Engineering and Social Network Analysis. He serves as associate editor for Social Network Analysis and Mining (SNAM), Frontiers of AI for Human Learning and Behavior Change and the International Journal on Interaction Design & Architecture(s) (IxD&A). His research interests are community information systems, serious games, augmented reality & wearables, web engineering, social network analysis, requirements engineering and technology enhanced learning.
Internet of Things (IoT) frameworks have received a significant amount of attention due to the simplicity and efficiency they bring in creating business value. By integrating several heterogeneous modalities, such as raw sensor input, real-time processing, higher-level audio and image analytics and their unanimous semantic representation and interpretation, IoT frameworks enable data generated at endpoints to be collected and analysed, spawning the growth of big data analytics and applications. There are numerous real-life IoT examples across various industries: from manufacturing IoT cases in Industry 4.0 and examples in transportation, logistics to consumer IoT, retail and smart city applications. Two of the most compelling, however, use cases is the use of IoT technologies in the healthcare and security context with a large societal and personal impact, where the challenge is to use humans and devices interchangeably, transforming human awareness into situational awareness.
To fulfil this objective, an important requirement is the intelligent aggregation, fusion and interpretation of input from diverse IoT devices based on knowledge-driven approaches, such as rule- and ontology-based approaches, which capitalise on standardised knowledge representation formalisms to model common sense knowledge about the environment and user preferences. In parallel, data-driven approaches rely on probabilistic and statistical models to process raw sensor data and video streams, so as to dynamically learn patterns and recognise situations of interest, such as activities and events. Wearable devices for physiological and lifestyle monitoring, ambient cameras for activity and gesture recognition and smart home sensors are main input sources in health and lifestyle related applications, while environmental sensors, surveillance (CCTV and drones), remote-sensing and social media are more important in security and public safety.
The presentation will start with the description of a generic IoT framework and its architecture followed by detailed analysis of specific technologies, such as universal semantic representation, computer vision, fusion, event and activity detection algorithms, with a special emphasis on healthcare and security use cases.
Dr. Ioannis (Yiannis) Kompatsiaris is a Researcher Director at CERTH-ITI, the Head of Multimedia Knowledge and Social Media Analytics Laboratory and Deputy Director of the Institute. His research interests include image and video analysis, big data and social media analytics, semantics, human computer interfaces (AR and BCI), eHealth, security and culture applications. He is the co-author of 129 papers in refereed journals, 46 book chapters, 8 patents and more than 420 papers in international conferences. He has been the co-chair of various international conferences and workshops including the 13th IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018) Workshop and has served as a regular reviewer, associate and guest editor for a number of journals and conferences currently being an associate editor of IEEE Transactions on Image Processing. He is an elected member of the IEEE Image, Video and Multidimensional Signal Processing - Technical Committee (IVMSP - TC), a Senior Member of IEEE and member of ACM.
Mobile devices, mainly in the form of smartphones, are nowadays used by almost every citizen in a wide real of activities, spanning from professional to personal. Smartphones can run almost any application as stationary ones and exchange data over wireless networks offering data rates that have significantly surpassed those of traditional wired networks. Thus, the security of the mobile network has emerged as significant topic in the area.
In this talk, we will cover the main security concerns in mobile communications, mainly stemming from use of the various wireless network technologies employed today (cellular networks, Wi-fi, etc.) as well as the smartphone platform by the end user.
Petros Nicopolitidis received the B.Sc. and Ph.D. degrees in Computer Science from the Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece, in 1998 and 2002, respectively. He is currently serving in the same Department as Associate Professor. His research interests are in the areas of wireless networks, mobile communications and optical networks. He has published more than 120 papers in international refereed journals and conferences and has more than 1000 citations according to G&S (h-index=16). He has co-authored the book entitled “Wireless Networks”, published by Wiley in 2003 and served as an Editor for two books published by Elsevier. He serves as an Associate Editor for the International Journal of Communication Systems, the Security and Communication Networks Journal, both published by Wiley, as well as for IEEE Access Journal. He is a Senior Member of IEEE. He has served in running international conferences in the areas of communications and networking via participation as a TPC chair in more than 10 such conferences and as a TPC member in many more. He has participated in a number of national projects in the area of networking.
|03 Jun 2019||Submission of: |
(i) structured abstracts (for full papers, short papers, work-in-progress papers and posters) for the main conference
(ii) Special Session proposals
|10 Jun 2019||Notification of acceptance for abstracts for the main conference|
Special Sessions notification and announcement
|15 Jul 2019||Submission of: |
(i) complete papers for all submission types
(ii) Round Table Proposals
(iii) Proposals for Organization of a Panel Discussion
(iv) Proposals for Organization of a Workshop/Tutorial
|29 Jul 2019||Notification of acceptance|
|23 Aug 2019||Late Paper submission deadline|
|30 Aug 2019||Notification of acceptance for Late Papers|
|06 Sep 2019||Camera-ready due & Author registration deadline|
|31 Oct 2019||IMCL2019 Conference Opening|