Hasan M S Jaashan
Biographic Data
| ID | 9239273 |
|---|---|
| NAME | Hasan M S Jaashan |
| GIVEN NAMES | Hasan M S |
| FAMILY NAME | Jaashan |
| SIGNATURE | JAASHAN H M S |
| AFFILIATIONS | King Khalid University |
| ORCID | 0000-0002-1488-1799 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Analysis and Evaluation of the Course Objectives and Course Contents of the Intensive English Program at a University in Saudi Arabia
This research addresses the gap between the course objectives of Intensive English and the course contents (especially the writing parts) of the textbooks prescribed for Arab students of Computer Science, Engineering, Media and Communication, Law, and Business Administration at a university in Saudi Arabia. This study explores the perspectives of Saudi learners about the course Intensive English and the contents of the prescribed textbooks. Both …
Effects of Transformational Generative Grammar (TGG) on Writing Skills of KKU EFL Students
This study employs a transformational-generative perspective to investigate the effects of grammar instruction on the writing skills of EFL students at King Khalid University (KKU). Recognising the critical role of grammar in academic writing, this research explores whether explicit grammar teaching improves syntactic accuracy, sentence complexity, and writing fluency. A mixed-methods approach was adopted, collecting data through a Likert-scale q…
Stylometric analysis of AI-generated texts
This study examined the readability and stylometric characteristics of AI-generated texts (AIGTs) produced by ChatGPT and DeepSeek. Specifically, it examines the extent to which AIGTs differ in terms of readability, morphological structures, lexical choices, syntactic patterns, and semantic features. Using Open Brain AI, the study analyses 10 essays generated by the two models, forming a corpus of ∼10,000 words. Readability analysis showed that C…
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Analysis and Evaluation of the Course Objectives and Course Contents of the Intensive English Program at a University in Saudi Arabia
This research addresses the gap between the course objectives of Intensive English and the course contents (especially the writing parts) of the textbooks prescribed for Arab students of Computer Science, Engineering, Media and Communication, Law, and Business Administration at a university in Saudi Arabia. This study explores the perspectives of Saudi learners about the course Intensive English and the contents of the prescribed textbooks. Both …
Effects of Transformational Generative Grammar (TGG) on Writing Skills of KKU EFL Students
This study employs a transformational-generative perspective to investigate the effects of grammar instruction on the writing skills of EFL students at King Khalid University (KKU). Recognising the critical role of grammar in academic writing, this research explores whether explicit grammar teaching improves syntactic accuracy, sentence complexity, and writing fluency. A mixed-methods approach was adopted, collecting data through a Likert-scale q…
Stylometric analysis of AI-generated texts
This study examined the readability and stylometric characteristics of AI-generated texts (AIGTs) produced by ChatGPT and DeepSeek. Specifically, it examines the extent to which AIGTs differ in terms of readability, morphological structures, lexical choices, syntactic patterns, and semantic features. Using Open Brain AI, the study analyses 10 essays generated by the two models, forming a corpus of ∼10,000 words. Readability analysis showed that C…
EFL/ESL Teaching and Learning (2 works) · Adverbial (1 work) · Authorship Attribution and Profiling (1 work) · Biomedical Text Mining and Ontologies (1 work) · E-Learning and COVID-19 (1 work) · Engineering (1 work) · English grammar (1 work) · Generative grammar (1 work) · Grammar (1 work) · Language Acquisition and Education (1 work)