Leveraging Context for Computer-Supported Student-generated Questions and EFL Learning in Grammar Instruction: Its Effects on Task Performance

Wen Wen Cheng, Fu Yun Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Inspired by the concept of 'learning in context, ' this study aimed toward examining the effect of computer-supported student-generated questions (SQG) with a given reading passage (acting as the context) on the quality of generated questions and task completion for grammar learning. Thirty-eight college sophomores with Intermediate English level taking a two-credit English course at a university in southern Taiwan participated in two back-to-back SQG activities on grammar covered in instruction during regular class. A newly developed online system equipped with computer-supported procedural prompts and design was adopted to support SQG as individual knowledge construction activities. Four grading criteria - Importance, Fluency, Originality, and Elaboration, were devised for the assessment of the quality of student-generated questions. The results of the repeated measures analysis of variance showed significant differences in task performance total scores between the two SQG activities, attesting SQG without a given passage exceling SQG with a given passage. Additionally, SQG without a given reading passage led to significantly better performance in Fluency, Originality and Elaboration indices than SQG with a given passage. Finally, the result of the chi-square test showed a near-significant difference (p = .054) between the two SQG activities in task completion, with comparatively more participants completing the task under the SQG without given context condition than the SQG with context condition.

Original languageEnglish
Title of host publication29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings
EditorsMaria Mercedes T. Rodrigo, Sridhar Iyer, Antonija Mitrovic, Hercy N. H. Cheng, Dan Kohen-Vacs, Camillia Matuk, Agnieszka Palalas, Ramkumar Rajenran, Kazuhisa Seta, Jingyun Wang
PublisherAsia-Pacific Society for Computers in Education
Pages328-337
Number of pages10
ISBN (Electronic)9789869721486
Publication statusPublished - 2021 Nov 22
Event29th International Conference on Computers in Education Conference, ICCE 2021 - Virtual, Online
Duration: 2021 Nov 222021 Nov 26

Publication series

Name29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings
Volume2

Conference

Conference29th International Conference on Computers in Education Conference, ICCE 2021
CityVirtual, Online
Period21-11-2221-11-26

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

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