A Model for Topic Closers
Improving Paragraph-Ending Sentences in English L2 Academic Writing
Bibliographic Data
| ID | 22430085 |
|---|---|
| Authors | Philip M McCarthy (0000-0001-5869-3709), Anuja M Thomas (0000-0002-0408-8519), Nicholas D Duran (0000-0002-8872-5617), Adrian M Zytkoskee |
| Year | 2026 |
| Volume | 16 |
| Issue | 4 |
| Pages | 456 |
| Publication date | 2026-04-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | World Journal of English Language (JOURNAL) |
| Journal identifiers | ISSN: 1925-0703 • E-ISSN: 1925-0711 |
| Publisher | Sciedu Press (PUBLISHER • CA) |
| DOI | 10.5430/wjel.v16n4p456 |
| OpenAlex | W7154702884 |
| Language | EN |
Topic closers refer to strategies for constructing paragraph-final sentences in academic English writing. Their functional relationship to topic sentences is comparable to that between discussion and introduction sections in research articles. This study evaluates a model of ten topic-closer types (Labels) by examining whether English L2 student writers can learn to judge their functional appropriateness more consistently. Using a pretest–intervention–posttest design, participants rated 100 topic-closer sentences for suitability as paragraph endings. Learning was assessed using two complementary measures: appropriateness ratings and rating inconsistency. Mixed-effects analyses revealed a reliable overall increase in appropriateness ratings following instruction, with no corresponding time × label interaction, indicating that improvement was general rather than category-specific. In contrast, rating inconsistency showed a significant and uniform decrease across labels, suggesting that participants converged on more stable evaluative criteria for paragraph-final function. These findings indicate that brief instruction can strengthen discourse-level judgment even before fine-grained categorical distinctions emerge. Therefore, the model shows promise as both a pedagogical framework for teaching paragraph endings and a foundation for computational applications, including automated feedback systems for L2 academic writing.
Academic writing · Agreement · Categorical variable · College English · Paragraph · Second Language Acquisition and Learning · Text Readability and Simplification · Writing and Handwriting Education
| Highly cited | No |
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