Influence of the NAO robot as a teaching assistant on university students’ vocabulary learning and attitudes
Bibliographic Data
| ID | 19514992 |
|---|---|
| Authors | Hossein Banaeian (0000-0001-6107-0350, Eastern Mediterranean University), Ilkay Gilanlioglu (0000-0002-9902-3311, Eastern Mediterranean University) |
| Year | 2021 |
| Pages | 71-87 |
| Publication date | 2021-03-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Australasian Journal of Educational Technology (JOURNAL) |
| Journal identifiers | ISSN: 1449-3098 • E-ISSN: 1449-5554 |
| Publisher | Australasian Society for Computers in Learning in Tertiary Education (PUBLISHER • NZ) |
| DOI | 10.14742/ajet.6130 |
| OpenAlex | W3134874344 |
| Language | EN |
| Citations received | 12 |
| References cited | 22 |
This study investigated how the NAO robot as a teaching assistant affects the way university students learn vocabulary and their attitudes towards it. A mixed method approach was followed to gather both quantitative and qualitative data. A quasi-experimental design, including a pre-test and a post-test, was employed to explore the impact of the NAO robot on students’ vocabulary learning. Moreover, a questionnaire and an interview were used to identify the attitudes of the participants towards the NAO robot. The participants, who were taking a vocabulary course for language improvement as part of the regular curriculum of the program during the experiment, were freshman students of the English language teaching undergraduate program at a higher education institution in North Cyprus. Of the two groups, the control group performed slightly better than the experimental group even though the analyses did not show any statistically significant difference between them. Descriptive data analysis showed that most of the students liked the NAO robot and its abilities. However, related findings from the qualitative data were mixed. Most participants liked the NAO robot and thought that the robot helped them to learn the new words, while some thought that the technology needed to be improved
Curriculum · Linguistics · Mathematics education · Pedagogy · Qualitative property · Robot · Significant difference · Vocabulary · Computer Science · EFL/ESL Teaching and Learning · Mathematics · Psychology · Second Language Acquisition and Learning · Artificial Intelligence
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| Citations per year | 2.4 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |