NotesFAQContact Us
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1219220
Record Type: Journal
Publication Date: 2019
Pages: 20
Abstractor: As Provided
ISSN: ISSN-0958-8221
Evaluating English Language Learners' Conversations: Man vs. Machine
Forsyth, Carol M.; Luce, Christine; Zapata-Rivera, Diego; Jackson, G. Tanner; Evanini, Keelan; So, Youngsoon
Computer Assisted Language Learning, v32 n4 p398-417 2019
This study investigated a new conversation-based assessment for English language learners. In this assessment, students converse with animated agents in natural language conversations to assess various aspects of English language learning. In a between subjects design, 31 students (N = 31) were asked questions by either the newly created system or human interviewers. Results revealed that there was no difference in answers in regards to impacting the constructs under investigation. However, there were other differences including higher word count and potentially more complex language usage when speaking to a human. Furthermore, students liked interacting with the system. These results suggest that the newly created system can assess students' English capabilities comparably to human interviewers and implementing such a formative assessment is feasible.
Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Early Childhood Education; Grade 3; Primary Education; Grade 4; Intermediate Grades; Grade 5; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A