2021 International Conference on CALL

2021(第17届)语言智能教学国际会议

3rd Call for Papers

October 15-17, 2021 Nanjing, China

Jointly hosted by Beijing Foreign Studies University (BFSU), Nanjing University of Aeronautics and Astronautics (NUAA) and China Computer-Assisted Language Learning Association (ChinaCALL), and organized by the College of Foreign Languages of NUAA and the Institute of Online Education and the Artificial Intelligence and Human Languages Lab of BFSU, the 2021 International Conference on CALL will be held in Nanjing, China, from October 15th to 17th, 2021. The conference aims to share knowledge, skills, and ideas on the integration of technologies and language learning in the forms of keynote speeches and individual presentations. We welcome experts, teachers, and practitioners in CALL to join us!


Conference theme:

Technology and Well-being in Education

Our 17th conference will address pedagogical innovations and learner well-being in aspects of language teaching, learning and assessment, more specifically the pedagogical challenges and responsibilities during the Covid-19 pandemic and in the post pandemic era. We invite participants to present their current or recent research and to focus hereby on one or more of the following topics.


Technology and well-being in education

Technology and language education

CALL environment

CALL & teacher education

Web-based instructional design for foreign language instruction

Web-based language assessment

CALL learners

Modality of learning

Web-based and resource-driven learning

Using the Internet for cultural exchange

Corpus-based and data-driven learning

Mobile language learning

Fostering autonomous learning through technology

Lessons learnt in CALL

E-learning, collaborative learning and blended learning

Language MOOCs

Managing multimedia/hypermedia environments

CALL in vocational education

Using Artificial Intelligence in education

High quality research papers in English will be recommended to be published on Journal of China Computer-Assisted Language Learning (Journal of ChinaCALL, ISSN: 2748-3479), an international refereed publication, which is the official journal of ChinaCALL, an affiliate of China Association for Comparative Studies of English and Chinese. The journal, initiated by Beijing Foreign Studies University (BFSU) in January, 2020, also serves as an important publication of BFSU Artificial Intelligence and Human Languages Lab.

Selected research papers in English will also be suggested to other international journals, including Computer-Assisted Language Learning- Electronical Journal (CALL-EJ), International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), and Chinese Journal of Applied Linguistics. Besides, we also plan to publish online a conference proceeding of accepted papers.

Keynote speakers:(to be added)

  • 1. Prof. Mark WARSCHAUER

    Prof. Mark WARSCHAUER is a Professor in the School of Education at the University of California, Irvine, and he is the founder and director of UCI’s Digital Learning Lab. Prof. Warschauer’s research focuses on the integration of information and communication technologies (ICT) in schools and community centers; the impact of ICT on language and literacy practices; the teaching of computer science and STEM; and the relationship of ICT to institutional reform, democracy, and social development.

  • 2. Prof. GU Yueguo

    Prof. GU Yueguo is the Chief Scientist of Artificial Intelligence and Human Languages Lab, Beijing Foreign Studies University. Prof. GU is also the President of China Computer-Assisted Language Learning Association (ChinaCALL) and the founding Dean of the Institute of Online Education of BFSU. He served as Research Professor of Linguistics in the Chinese Academy of Social Sciences. His research areas include corpus linguistics, pragmatics, discourse analysis, the philosophy of language, and online education.

    【Speech Title】

    iCALL: Making Us Smart or Dum

  • 3. Prof. ZONG Chengqing

    Mr. ZONG Chengqing received the PhD degree from the Institute of Computing Technology, Chinese Academy of Sciences (CAS) in 1998. He is a currently a Professor at the National Laboratory of Pattern Recognition, Institute of Automation, CAS. His research interests include natural language processing, machine translation, and linguistic cognitive computing as well. He has authored a book titled Statistical Natural Language Processing and co-authored a book titled Text Data Mining. Dr. Zong is also a fellow of Chinese Association for Artificial Intelligence (CAAI), a fellow of China Computer Federation (CCF), a member of the International Committee on Computational Linguistics (ICCL), the President of the Asian Federation on Natural Language Processing (AFNLP), and the Vice President of the Chinese Information Society of China. He has won many awards including the Second Prize of the State Preeminent Science and Technology Award of China (2015).

    【Speech Title】

    Study of Human Language Technology with Artificial Intelligence

    【Abstract】

    In recent years, with the rapid development of artificial intelligence-related technologies, human language technology (HLT) has received a lot of attention. The research methods on HLT have undergone disruptive changes. At the same time, the performance of HLT has been significantly improved, and the technology has been widely used in various fields of human society. So, what research contents does HLT include? What are the key and critical challenges and bottlenecks? What are the future directions and trend in HLT study? How can linguistic study adapt to the rapid development of the times and play a greater role in the wave of advancement of artificial intelligence technology? This talk will briefly analyze these issues and give my own thinking and understanding based on the research work I am engaged in.

  • 4. Prof. YU Xinjie

    Prof. YU Xinjie is a Professor of the Department of Electrical Engineering at Tsinghua University. Prof. YU is the Head of the Online Teaching Guidance Expert Group of Tsinghua University, and he is also the creator of Tsinghua University’s first MOOC course, “Principles of Electric Circuit”. His research interests include magnetoelectric materials, pulse power supplies, intelligent optimization, wireless energy transfer.

    【Speech Title】

    Key Issues on Blended Teaching

  • 5. Dr. MA Qing

    Dr. MA Qing is Associate Professor of Department of Linguistics and Modern Language Studies, The Education University of Hong Kong. She obtained PhD in Linguistics, University of Louvain, Belgium. She is the committee member of Hong Kong Association for Applied Linguistics (HAAL) as well as the China Association for Computer-Assisted Language Learning (ChinaCALL). Her research areas include L2 vocabulary acquisition, computer assisted language learning (CALL), mobile assisted language learning (MALL), and corpus linguistics.

    【Speech Title】

    From corpus literacy to corpus-based language pedagogy: effective integration of corpora into classroom teaching

    【Abstract】

    Corpus linguistics proves to be an innovative and effective approach to language studies and analyses. However, a corpus-based approach remains largely unknown to the majority of the professional teaching community. Language teachers generally appreciate the pedagogical potential of corpus, but rarely use it in classroom teaching. A key concept regarding corpus-based teacher training is corpus literacy (CL). Another key concept, largely ignored by researchers, is corpus-based language pedagogy (CBLP), which is defined as the ability to integrate corpus linguistics technology into classroom language pedagogy to facilitate language teaching. Based on the differentiation of CL and CBLP, I will present two relevant studies. In study 1, a new Corpus Technology Acceptance and Use (CTAU) model was introduced based on the Technology Acceptance Model (TAM). Furthermore, the theoretical model was empirically tested with 697 English teachers to determine the factors (e.g., system accessibility, subjective norm, prior experience, self-efficacies [corpus literacy, corpus-based language pedagogy]) that influence English teachers’ perceptions of usefulness and ease of use of corpus technology, which will in turn affect their intention to use it, and its actual uses for learning or teaching. Study 2 adopted a case study approach and investigated two English teachers’ engagement of acquiring CBLP, implementation and evaluation of their corpus-based classroom teaching.

Important dates:

From May 5, 2021 Opening of proposal submission
August 15, 2021 Deadline for proposal submission
From August 15, 2021 Notices of acceptance sent out
August 31, 2021 Deadline for regular registration
September 15, 2021 Release of conference program
October 15, 2021 Reception
October 16-17, 2021 Plenary & concurrent sessions

Conference information:

1. Please click “Registration” on the conference website to register and submit abstracts ONLINE.

2. Date: October 15-17, 2021

3. Venue: Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China

4. Conference sessions: The conference will be composed of keynote speeches (50min per session) and oral presentations (20-25min per session).

5. Working languages: English and Chinese, preferably English.

6. Registration Fee: The registration fee is RMB¥800 each for the regular participant, and RMB¥400 each for the full-time postgraduate student. Please kindly note that student participants need to present their student IDs upon registration. The registration fee includes the cost of conference organization and the conference information package. Once paid, it will not be refunded. The registration fee has to be prepaid, before September 16, 2021. Please kindly note that regular participants who fail to pay by due date will not be arranged to give presentations. On-site payment will only be available for listeners who decide to come on short notice.
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7. Invoice: Please fill in the invoice details online upon registration.

8. Accommodation: The hotel information will be released on the conference website in due course. Please kindly note that the conference organizing committee is NOT responsible for hotel reservation, and the hotel expenses are NOT included in the registration fee.

Abstract submission guideline:

1. Deadline of submission: Abstract must be submitted online before August 15, 2021. Each leading author (first author) can submit up to 2 abstracts.

2. The Body of Abstract: Maximum word count is 300. (Title, authors, affiliations and references are not included in word limit.) The abstract should be composed of research background, objectives, methods and outcomes. Please include the grant or other support information for your research, if appropriate.

3. After abstracts are accepted, please send full papers to conference@beiwaionline.com.

Contact us:

E-mail: conference@beiwaionline.com

Tel: (86) 010-88818307

Fax: (86) 010-68471772



Conference Organizing Committee

July 2021