Assessing the language of chat for teamwork dialogue

• Main Authors: SHIBANI, Antonette, KOH, Elizabeth, LAI, Vivian, SHIM, Kyong Jin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Teamwork; Pre-processing; Supervised machine learning; Text mining; Learning analytics; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3799; https://ink.library.smu.edu.sg/context/sis_research/article/4801/viewcontent/AssessingLanguage_Chat_Teamwork_pv.pdf
• Institution: Singapore Management University

In technology enhanced language learning, many pedagogical activities involve students in online discussion such as synchronous chat, in order to help them practice their language skills. Besides developing the language competency of students, it is also crucial to nurture their teamwork competencies for today's global and complex environment. Language communication is an important glue of teamwork. In order to assess the language of chat for teamwork dimensions, several text mining methods are pos sible. However, difficulties arise such as pre-processing being a black box and classification approaches and algorithms being dependent on the context. To address these issues, the study will evaluate and explain preprocessing and classification methods used to analyze teamwork dialogue from a dataset of chat data. Analytics methods evaluated in this study provide a direction for assessing the language of chat for teamwork dialogue and can help extend the work of technology enhanced language learning to n ot only focus on academic competency, but on the communication aspect too.