1. Prof. Mark WARSCHAUER

Mark Warschauer is a Professor of Education at the University of California, Irvine, where he directs the Digital Learning Lab. Professor Warschauer has made foundational contributions to CALL through his pioneering research on computer-mediated communication, online learning, technology and literacy, laptop classrooms, the digital divide, automated writing evaluation, visual-syntactic text formatting, and, most recently, conversational agents for learning. His dozen books and more than 200 papers have been cited more than 40,000 times, making him one of the most influential researchers in the world in the area of digital learning. He is a Fellow of the American Educational Research Association and a Member of the National Academy of Education.

【Speech Title】

Conversational Agents and Language Development: A New Frontier in Children’s Learning

【Abstract】

Children learn languages best through social interaction, but opportunities for such interaction may be limited, especially in foreign language contexts. This presentation explores whether and how conversational agents, such as Siri or Google Assistant, can provide opportunities for social interaction that contribute to children’s language learning. Findings from two major studies are shared. In the first, a conversational agent assumes the role of a parent or mentor in a book-reading activity, asking the child questions about the story as it is being narrated. In the second, a character in a popular television show engages in dialogue with children about the show’s content. Both studies find that children learn more when interacting with a conversational agent, especially when trying to understand material in a second language. Taken together, the studies demonstrate both the feasibility and promise of using conversational agents to create interactive language learning experiences for children.

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 Dumb

【Abstract】

iCALL, an acronym for intelligent computer-assisted language learning, differs from the traditional paradigm of CALL in that it attempts to incorporate artificial intelligence technology in CALL design and implementation. There are at least three variants of iCALL in the literature: (1) intelligent tutoring system, i.e., ITS; (2) artificial intelligence in education, i.e., AI-ED, AIED; and (3) parser-based CALL. This paper presents a critical review of these iCALL variants. The evaluation is based on the six universal laws of learning, which are structured as follows:  
The Those iCALL programmes that are designed and implemented in accordance with the six laws will make us smart, whereas those iCALL programmes that violate the six laws will make us dumb.

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. Prof. LI Zuowen

Li Zuowen, professor and phD supervisor in Applied Linguistics, is the Director of BFSU Artificial Intelligence and Human Languages Lab, chairman of China Textlinguisitcs Association. His research interests include language intelligence, textlinguistics and language teaching. He has published 10 monographs and dictionaries and over 40 academic papers in leading journals in China, such as Journal of Foreign Languages, Foreign Languages in China, Foreign Language Research, etc. He also acts as Member of National English Teaching Supervisory Committee under Ministry of Education of China.

【Speech Title】

Language Intelligence: Discipline Construction and Talents Training

【Abstract】

Language Intelligence (LI) is one of the core problems in Artificial Intelligence (AI) ,which involves the exploration of human intelligence and language processing techniques of computers. It is an area touching on brain science, cognitive science, linguistics, logics, computer technologies etc, representing the highest level of artificial intelligence. However, the development of language intelligence still faces a lot of challenges and difficulties, calling on many talents in different disciplines, even generations of researchers to deal with it. To meet the needs of AI innovation and LI talent training in China, it is of utmost importance to set up an interdisciplinary Science of Language Intelligence in universities and colleges. It would be reasonable and suitable for this interdisciplinary study to be constructed as first-level discipline within the current system of disciplines in China. This presentation will focus on the topics such as connotations of LI, significance of LI discipline construction and our practice in Beijing Foreign Studies University.

6. 王海啸

南京大学教授、博士生导师，教育部高等学校大学外语教学指导委员会委员，全国大学英语四、六级考试委员会委员，江苏省高等学校外国语教学研究会会长，江苏省外国语言学会副会长，中国英汉语比较研究会语言智能教学专业委员会副主任委员。主要研究方向包括二语习得与教学、语言测试、计算机辅助英语教学。主持国家级精品课程、精品资源共享课、精品在线开放课程、一流线上线下混合式课程等。

【Speech Title】

新指南背景下大学英语教师信息素养的内涵及评价体系构建

【Abstract】

《大学英语教学指南（2020版）》对大学英语教师的综合素养，尤其是信息素养提出了新的要求。本文试图以信息意识、信息知识与信息能力为框架，探讨大学英语教师信息素养的具体内涵，并在此基础上参照现有国际英语教师能力体系框架，构建一个包括基础、熟练、专业三个级别的大学英语教师信息素养评价体系。

7. 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.

8. Elena Errico

Elena Errico is Associate Professor of Spanish and Translation Studies at the University of Genoa, Department of Foreign Languages and Cultures, where she is also coordinator elect of the study programmes. Her research interests focus on contact linguistics between English and Spanish, Chicano literature in translation and the pedagogy of interpreting.

【Speech Title】

Teaching remote interpreting remotely, or how to make a virtue out of necessity

【Abstract】

The aim of this presentation is to share an experience of how a combination of innovative learning techniques and remote interpreting technologies was harnessed in the Translation & Interpreting (T&I) MA programme taught at the University of Genoa.

Well before the COVID-19 pandemic outburst, the University of Genoa had set up a workgroup on teaching and learning techniques (GLIA) which fostered innovation in instructional design. In 2019, thanks to GLIA's support, the T&I MA implemented simulation-based training in legal interpreting adopting a social constructivist approach (cfr. Kiraly 2000). This means that each and every interpreting simulation, from script drafting to the role play and feedback sessions, were carefully prepared by a team of experts which included a pedagogist with expertise in instructional design, a psychologist and a legal professional in addition to the interpreting instructor.

Since early 2020, due to health emergency restrictions, all teaching has been online and, as a result, computer-assisted ad hoc interpreting platforms (“digital interpreting booths”) have been adopted along with live streaming classroom software. The experiment has proved so effective that it has been decided to extend this teaching mode beyond the emergency as a proactive response to the post-COVID employability scenario, since it is very likely that remote interpreting services will play the lion's share on the interpreting market in the years to come, due to improved technology and comparatively low costs, and despite the serious challenges they pose for interpreting professionals.

References Kiraly, D. (2000): A Social Constructivist Approach to Translator Education; Empowerment from Theory to Practice, Manchester, UK & Northampton MA, St. Jerome Publishing.

9. Dr. Marcin Opacki

Dr. Marcin Opacki (Ph.D.) is an assistant professor at the University of Warsaw. His research interests include generative syntax, corpus linguistics, and experimental psycholinguistics. Throughout his career, Dr. Opacki has been involved in several projects including the Polish Valency Dictionary (CESAR, NEXT, CLARIN-ERIC), a study of bilingual migrant children (NPRH), the development of a framework for CLIL in vocational education (Erasmus+), an evaluation of language teaching in Polish primary schools (BENJA), the development of a staff training program in corpus linguistics for academics (NCBiR), and the development of a CLIL-based program to foster critical thinking among high school students (NCBiR).

【Speech Title】

Perfunctory gamification in the world of second language learning

【Abstract】

Gamification is a trend that is steadfastly increasing in popularity in several fields that involve learning. Several concepts borne out of this have recently been applied with the intent to facilitate second language acquisition. This is most notably visible in the form of apps and online teaching courses that take advantage of mechanics that are drawn directly from video game design principles.

However, while tools of this kind will appeal to some learners (e.g. dopamine-reliant social media users), others will find them ineffective as language study aids.

In this talk, I will argue that this is strictly due to limiting gamification features to only an easily implementable subset (leader boards, levelling progression, trophy achievements, etc.), while features that offer meaningful content (e.g. narrative and ludological structure, motivational level design, player agency, etc.) are typically left out due to budgetary, programming, or scheduling constraints. Such app or course design – which I dub perfunctory – will leave some users feeling frustrated by what amounts to false advertising, contributing to a decrease in motivation.

I will conclude the talk by presenting what I consider a set of tentative solutions to the problem based on a review of currently available research in the field.