The 11th International Cognitive Load Theory Conference (ICLTC2018) will be held at Beijing Normal University on the 4th, 5th and 6th of September 2018 in Beijing, China. This year, the conference is hosted by Beijing Normal University, organised by the Smart Learning Institute of Beijing Normal University, and co-organised by Faculty of Education of Beijing Normal University and School of Psychology of Beijing Normal University.
The conference brings together a wide range of international researchers, scholars, educators, and research students interested in Cognitive Load Theory. Over 200 people from many different countries are expected to attend. As in previous years, ICLTC will provide a venue encouraging early-stage researchers and students as well as experienced researchers to present and share their research outcomes. The conference will provide an excellent opportunity to present and share your research and experiences in the field of Cognitive Load Theory.
With the rapid advancement of educational technology in the last few decades, various innovative technologies are integrated into education transforming the traditional learning environment. This year, the Smart Learning Institute, as the organiser of ICLTC2018 and an institute which emphasises research associated with technology-supported learning environments, is taking the lead in raising awareness of the impact of cognitive load theory in technology-supported learning environments. While we expect the majority of papers will not be technology related, we would like to encourage the presentation of work considering cognitive load theory in technology-supported, smart learning environments.
(*) By midnight -23:59 Beijing Time Zone (GMT+8)
19, XinJieKou Outer St,
BeiTaiPingZhuang, Haidian District,
From Capital Airport:
By Taxi: Around 11km, about 45 minutes (about 120RMB)
By Shuttle Bus: Take the airport shuttle bus Line 4 (公主坟线) to Beitaipingzhuang Station (北太平庄站), cross the overpass and go south and then you will arrive at the east gate of Jingshi Hotel or take a taxi.