ICM: September 2020
Conference Website: to be announced
SIG 27 Biennial Conference: Earli Bird Registration ends End of May
The next SIG 27 Biennial Conference will be held at University of Warsaw, Institute of Applied Linguistics, Poland. The Conference will jointly organized with the 6th Polish Eye Tracking Conference. But of course all other Online Measures covered in SIG 27 are also welcome.
Conference Dates: 15th – 17th June 2018 (Friday morning to Sunday afternoon)
Earli Bird Registration:until End of May 2018
Find the Congress Programme here
Conference Website: http://konferencjaet.neurodevice.pl
Conference Contact: firstname.lastname@example.org or tel: +48 22 662 15 30
SIG 27 – Online measures of learning processes’ https://www.earli.org/node/50
The Emerging Field Group initiative is intended to support researchers active in innovative and exciting fields. EARLI Emerging Field Groups (EFG) consist of a small group of internationally active researchers working in the field of learning and instruction active within a new, emerging field of research. EARLI offers these researchers the opportunity to work together during a short but intense period of time to explore the possibilities in their shared field of interest.
EFGs are intended for exploratory, innovative and risk-taking approaches. Being part of an Emerging Field Group allows for its participants to focus on experimental and new fields of research, with an emphasis on exploration and process rather than output and product.
Following a lengthy evaluation procedure, four applications have been granted the EARLI Emerging Field Group funding for 2018 – 2020.
Portable Brain Technologies in Educational Neuroscience Research
led by Nienke van Atteveldt, VU Amsterdam, the Netherlands
The Potential of Biophysiology for Understanding Learning and Teaching Experiences
led by Lars-Erik Malmberg, Oxford University, United Kingdom
Unifying Cognitive Load and Self-Regulated Learning Research: Monitoring and Regulation of Effort (MRE)
led by Anique de Bruin, Maastricht University, the Netherlands
EarlyWritePro: Developing Methods for Understanding Early Writing through Analysis of Process Dysfluencies
led by Mark Torrance, Nottingham Trent University, United Kingdom
The first two EARLI emerging field groups nominees show that triangulation and combination of new data sources like portable EEG and other physiological data promise new insights into learning and regulation processes. It can be expected that these emerging fields will gain strength within in the scientific community for the next years.
The next International Conference on Motivation 2018 will be held at Aarhus University, Danish School of Education, Denmark. The chair will be Niels Bonderup Dohn
Summer school: 12th – 14th August 2018 (Sunday – Tuesday)
ICM: 15th – 17th August 2018 (Wednesday – Friday)
Preliminary Program HTML PDF
Conference Website: http://conferences.au.dk/icm-2018/
Registration Open: https://events.au.dk/icm-2018/registration
SIG 8 – Motivation & Emotion: http://motivation-emotion.eu
Submission Instructions can be found here
The European Association for Research on Learning and Instruction (EARLI) is an international networking organisation for junior and senior researchers in education. EARLI has 27 Special Interest Groups representing researchers who study one or more parts and/or aspects of the field of Learning and Instruction.
The theme of the JURE Conference 2018 is “Learning and instruction with an impact – scaling up the skill, will and thrill of learning”. The conference presentations, workshops and keynotes will showcase the newest findings about the cognitive, motivational and emotional aspects of learning and highlight the practical implications for practice and policy.
JURE Conference 2018 Dates:
Conference: 02 – 06 July 2018
Submission NEW Second Roound Deadline (Expanded): 15.04.2018
Registration Open: 01.02.2018
Early Bird Deadline: 03.05.2018
JURE Conference 2018 Contact:
Conference Contact: email@example.com
Twitter: https://twitter.com/2018JURE #2018
JURE Website: https://www.earli.org/jure
JURE 2018 Flyer can be found here
Call for Papers – Frontline Learning Research – Special Issue
New measurements of learning:
Emerging chances and challenges of process measures.
Deadline: April 15th, 2018
Over the recent years, research within EARLI increasingly focuses on studying learning as a process (how and why does the learning take place?) rather than just the outcomes of learning. As a consequence, process measures, so far used mainly in fundamental research (e.g., eye tracking, EEG), are increasingly being applied to educational science. Process measures make it possible to measure and visualize learning processes as they happen. This application requires the development of novel methodological approaches. The current special issue aims at critically discussing these methods with respect to their explanatory power for researching learning. In research practice, these measures offer researchers many opportunities, but they also raise many challenges. These include combining process measures of different levels of granularity synchronizing measures, capturing the sequential nature of learning processes and defining reasonable epochs for analyses. Often, these challenges go by unnoticed as there is rarely any room to discuss them in traditional empirical study papers. Due to this lack of exchange, researchers often re-invent the wheel.
The contributions to this special issue should include studies on learning that apply these new measurements and put their findings up for discussion. The aim of this special issue is that all contributions reflect on the strengths and limitations of their measures and provide a statement on how informative their data can be for researching learning. The discussants will address these statements and relate the papers to the current state of learning research.
This special issue is based on the initiative of EARLI SIG 14 and EARLI SIG 27. However, all interested researchers are invited to contribute to this special issue. All articles will be thoroughly reviewed according to standards of Frontline Learning Research, an official EARLI journal.
If you are interested in contributing to this call, please send a 300-word abstract to Ellen Kok (firstname.lastname@example.org) before December 20th, 2017.
The guest editors,
Dr. Christian Harteis
Dr. Halszka Jarodzka
Dr. Ellen Kok
This new and free Handbook of Learning Analytics covers a broad sprectrum of topics including Emotion (from Sidney D’Mello) and Self-Regulated Learning (from Philip Winne).
This book is edited by Charles Lang, George Siemens, Alyssa Wise & Dragan Gašević
The full book can be downloaded for free here (CC BY 4.0)
Citation: Lang, C., Siemens, G., Wise, A., & Gašević, D. (Eds.). (2017). The Handbook of Learning Analytics. Society for Learning Analytics Research.
Find the table of content here.