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Invited Speakers

Invited Speech 1 - Oct. 7, 2013 (Mon.)

Community Learning Analytics - Challenges and Opportunities

Dr. rer. nat. Ralf Klamma
RWTH Aachen University
E-Mail: klamma@informatik.rwth-aachen.de
7 October 2013, 10:40-11:30             Hill1, H Resort

Abstract of Speech
Learning Analytics has become a major research area recently. In particular learning institutions seek ways to collect, manage, analyze and exploit data from learners and instructors for the facilitation of formal learning processes. However, in the world of informal learning at the workplace, knowledge gained from formal learning analytics is only applicable on a commodity level. Since professional communities need learning support beyond this level, we need a deep understanding of interactions between learners and other entities in community-regulated learning processes - a conceptual extension of self-regulated learning processes. In this presentation, we discuss scaling challenges for community learning analytics and give both conceptual and technical solutions. We report experiences from ongoing research in this area, in particular from the two EU integrating project ROLE (Responsive Open Learning Environments) and Learning Layers (Scaling up Technologies for Informal Learning in SME Clusters). 

PD Dr. rer. nat. Ralf Klamma has diploma, doctoral and habilitation degrees all in computer science from RWTH Aachen University in Germany. After being vice-coordinator of the FP7 ICT Integrating Project ROLE, he is now work package leader in the FP7 ICT Integration Project Learning Layers). In 2013, he is general chair of the European Conference on Technology Enhanced Learning (EC-TEL 2013). He serves as associate editor for the international journals IEEE Transactions on Learning Technologies (ToLT), Social Network Analysis and Mining (SNAM), and IJTEL. His research covers among others community information systems, social network analysis, technology enhanced learning, and cloud computing.




Invited Speech 2 - Oct. 7, 2013 (Mon.)

Affective Learning: Evidences from Neuroscience

Prof. Chia-Ju Liu
Dean of College of Science, National Kaohsiung Normal University
E-Mail: chiaju1105@gmail.com
7 October 2013, 11:30-12:20             Hill1, H Resort

Abstract of Speech
Many researches indicated that the cognitive dimensions could promote students’ learning achievements, but to improve the whole efficacy of science education must integrate the consideration of students’ learning and teachers’ teaching with affective dimensions. The difficulties of affective dimensions measurements are been solved by using neuroscience technologies. In this presentation, the concept of affection and categorizes the affective dimensions in science education will be discussed. The evidences from neuroscience which included topographic EEG mapping, the α and δ power value, and the P300 amplitude and latencies of frontal lobe will be illustrated in the issues of affective learning.


Dr. Liu is currently the Dean of College of Science of National Kaohsiung Normal University in Taiwan. She is also the director of Neurocognition Laboratory in University. Her research interests are conceptions change and learning processes, scientific thinking, cognitive psychology in science education, experimental research design in cognitive psychology, and neuropsychology and science learning. Her instruments in this laboratory include Neuropsychological testing system, Electrophysiological recording system, Behavioural analysis equipment, and Eye tracker machine (Hi-speed workstation with iView X). Currently, Her research group is investigating multiple representations in science education, and visual and spatial Modes in science education by ERPs and eye tracking techniques. This group also cooperates with Kaohsiung Veterans General Hospital to explore the early diagnosis of some brain dysfunctions.