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Applying Peer Instruction to Computer Science Students Using Non-native Language: A Study with Undergraduate Students
Miguel Gomes Da Costa1; Ana Amélia Amorim Carvalho2
2021-12-10
Conference Name2021 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021
Source PublicationTALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings
Pages854-858
Conference Date05-08 December 2021
Conference PlaceWuhan, Hubei Province, China
CountryChina
PublisherIEEE
Abstract

Peer Instruction (PI) has been applied widely in several institutions due to its success in supporting students' engagement and improving learning outcomes. This study examined the application of PI to an Introductory Computer Science course for year-one students taught in English that is not their native language. We aimed to identify the effectiveness of PI to improve students' content learning and English skills. Throughout the analysis of a survey of students' perceptions, we found evidence of the success of PI in terms of engagement and learning of the students, as occurred in previous studies. We found also encouraging results regarding the opportunities provided by PI to improve students non-native language skills. However, we found alarming results regarding the lack of pre-class reading preparation. Instructors should handle this issue since it is a crucial component when implementing the PI methodology for content learning and knowledge acquisition.

KeywordActive Learning Blended Learning Flipped Classroom Peer Instruction Second Language Education
DOI10.1109/TALE52509.2021.9678789
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaComputer Science ; Education & Educational Research ; Engineering
WOS SubjectComputer Science, Software Engineering ; Computer Science, Theory & Methods ; Education, Scientific Disciplines ; Engineering, Multidisciplinary
WOS IDWOS:000810176600128
Scopus ID2-s2.0-85125943371
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Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorMiguel Gomes Da Costa
Affiliation1.Faculty of Science and Technology, University of Macau, Macao SAR, China
2.Faculty of Psychology and Education Sciences, University of Coimbra, Coimbra, Portugal
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Miguel Gomes Da Costa,Ana Amélia Amorim Carvalho. Applying Peer Instruction to Computer Science Students Using Non-native Language: A Study with Undergraduate Students[C]:IEEE, 2021, 854-858.
APA Miguel Gomes Da Costa., & Ana Amélia Amorim Carvalho (2021). Applying Peer Instruction to Computer Science Students Using Non-native Language: A Study with Undergraduate Students. TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings, 854-858.
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