Assoc. Prof. Bin Zou, Department of Applied Linguistics, Xi'an Jiaotong-Liverpool University, China
Research Area：Artificial intelligence, English language teaching, Computer-assisted language teaching, Mobile learning
Title：Challenges in online English teaching during the pandemic in China
Online teaching has been massively conducted during the COVID-19 in China and elsewhere. How to evaluate online teaching has become one of the key research areas. This research explored how English as a foreign language (EFL) was taught online during the COVID-19 pandemic in China. It is a challenge for all teachers in China, not only for using online platforms successfully for each lesson, but also for utilizing appropriate pedagogies in an online context. How to sustain student-teacher interaction and student-student interaction in the online environment is not such easy as in normal classrooms. This issue seemed to be exacerbated by the new massive online teaching. This presentation will share the challenges, the techniques and pedagogies to enhance teaching effectiveness in the future.
Assoc. Prof. Bo Liu, Education at South China Normal University, China
Research Area: Educational data analysis, computer-assisted teaching, CSCL, education big data mining
Title：The study on the roles in the practical applying oriented asynchronous collaborative learning network
Asynchronous collaborative learning network(ACLN) makes the process of collaboration learning more convenient. In AClN there are various roles, e.g., group leader, group member including positive member and negative member etc. They play different parts in group learning, especially each person. This work explored how the personal member enact relationship in the regular collaborative learning and influence the direction of the group, and how their interaction is enabled and constrained by personal role. This study considers four aspects of ACLN: the design, cohesion, roles and power network structures. The design is evaluated by the Social Interdependence Theory of Cooperative Learning. The network structures are analyzed by Social Network Analysis of the response relations among participants during online discussions. After analyzing data for three years from one ACLN academic university courses, we found that the knowledge construction process reached the setting aim and developed cohesive cliques in ACLN.
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2021 2nd International Conference on Big Data and Informatization Education http://2021.icbdie.org/