You are cordially invited to participate in the 16th International Conference on Blended Learning (ICBL 2023) to be held in Hong Kong Metropolitan University, Hong Kong SAR, China from 17 to 20 July 2023.
Blended learning is a promising pedagogical approach that integrates traditional learning with innovative means with an aim to improve learning effectiveness and enrich learning experience. Over the past two years, owing to the Covid-19 pandemic, teachers and students have adapted to live with social distancing requirements. The pandemic-driven changes in learning styles and habits seem to be irreversible, implying that the changed styles and habits would likely continue even the pandemic is over. While blended learning practices have been transformed into so-called new normal practices, it is time for researchers and practitioners in the field to reflect what we have learnt and explore the ways forward on blended learning.
Under the theme Blended Learning: Lessons Learned and Ways Forward, ICBL 2023 aims to provide a platform for knowledge exchange and experience sharing among researchers and practitioners in the field. Original papers reporting novel applications of blended learning are welcome. ICBL 2023 covers topics related to blended learning including, but not limited to:
Paper Submission: Original papers should be written in English and submitted by 31 January 2023 14 March 2023 (final). Your paper should follow the Springer's Lecture Notes in Computer Science format in 10 to 12 pages. The Conference Proceedings will be published by Springer under the Lecture Notes in Computer Science Series. Best/Excellent Paper Awards (with cash prizes sponsored by Springer) will be granted to authors of papers with exceptional merits. Authors of selected good papers will be invited to submit extended papers (with substantial new contents) to Electronics (SCI-indexed, IF=2.690) Special Issue on "Technology-Mediated Agile Blended Learning", Frontiers in Education (ESCI-indexed and Scopus-indexed) Special Issue on "Agile Blended Learning: Pedagogical Perspectives", or SN Computer Science (Scopus-indexed) "Innovation and Technology in Education" Section.
Full Registration: HK$3,500
Participation Only: HK$1,300
Full Registration: HK$4,500
Participation Only: HK$1,600