Original Research
The Role of Textually Enhanced Audiovisual Input and Word Class in Vocabulary Learning, Retention and Content Comprehension of Saudi EFL Female Students
- Abstract
- Full text
- Metrics
The present study aims to identify the role of textually enhanced captions TEC in vocabulary learning, retention, and content comprehension of Saudi EFL female undergraduates. Using a quasi-experimental design, the study allocated ninety-seven Saudi EFL female students to one of three captioning conditions, i.e., TEC, normal captions (NC), and no captions (NoC). This design was followed by immediate form and meaning recognition vocabulary posttests along with a comprehension test. After an essential gap of three weeks, vocabulary posttests were taken to account for any long-term retention. The target words were categorized into four parts of speech (PoS), i.e., verbs, nouns, adverbs, and adjectives. The purpose here is to gauge the word class that is mostly learned by the participants. The dichotomy of quantitative and qualitative analysis attested a positive impact of TEC in the short-term learning of word forms, whereas the advantage of TEC diminished for the long-term retention of forms. Regarding the meaning recognition and comprehension tests, the outcomes indicated that TEC did not aid in either the recognition of word meanings or the comprehension of the video content. Furthermore, it became crystal clear that verbs emerged as the easiest and most effectively learned word class among the students.
Page 1 of
Download Count : 20
Visit Count : 162
Keywords
Textual Enhancement; Captions; Vocabulary; Word Class; Saudi EFL Students
Author(s) Information
Publisher’s Note
The claims, arguments, and counter-arguments made in this article are exclusively those of the contributing authors. Hence, they do not necessarily represent the viewpoints of the authors’ affiliated institutions, or EUROKD as the publisher, the editors and the reviewers of the article.
Acknowledgements
The author gratefully acknowledges Prince Sattam bin Abdulaziz University for funding this research through project number PSAU/2025/02/34564. Sincere appreciation is also extended to all participants for their valuable time, cooperation, and contribution to this study.
Funding
This research was funded by Prince Sattam bin Abdulaziz University through project number PSAU/2025/02/34564.
CRediT Authorship Contribution Statement
Najla Abdulrahman Alqahtani: Conceptualization, Methodology, Data Curation, Data Analysis, Reviewing, Editing, Supervising and Project Administration
Generative AI Use Disclosure Statement
Throughout the development of this research, the author utilized ChatGPT (OpenAI) and Grammarly for proofreading and language editing. The author revised, edited, and is fully accountable for the content of this research and confirms that it complies with the journal’s ethical guidelines and standards of academic integrity.
Ethics Declarations
World Medical Association (WMA) Declaration of Helsinki–Ethical Principles for Medical Research Involving Human Participants
The research was conducted in accordance with established ethical principles. Participants were informed about the study’s purpose and their role in it. Informed consent was secured from each participant before data collection. Participants were also informed that all personal information provided would be handled confidentially, and that their participation was entirely voluntary.
Competing Interests
The author declares that there are no financial or personal relationships that could have influenced the work presented in this article.
Data Availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.