Qassim University EFL Teachers Viewpoint towards Using Artificial Intelligence Applications in Teaching English
| المصدر: | دراسات تربوية ونفسية |
|---|---|
| الناشر: | جامعة الزقازيق - كلية التربية |
| المؤلف الرئيسي: | Alomaireeni, Ahmad Abdullah (Author) |
| المجلد/العدد: | ع137 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2024
|
| الشهر: | يوليو |
| الصفحات: | 391 - 435 |
| ISSN: |
1110-3914 |
| رقم MD: | 1515140 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EduSearch |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Artificial Intelligence | Artificial Intelligence Applications | English Language | University Students
|
| رابط المحتوى: |
عدد مرات التحميل
5
| المستخلص: |
The current research aims to reveal perceptions of faculty members at Qassim University towards the use of artificial intelligence applications in the acquisition of students ' English language skills and whether there are statistically significant differences between their responses in the degree of practicing artificial intelligence applications in the English language subject due to gender, the scientific rank, and English language skills. The sample consists of 97 faculty members (i.e., 65 males and 41 females), and all of them teach English language at Qassim University. They were selected using a simple random sampling method. The research concluded that the level of faculty members ' use of artificial intelligence applications in the English language at Qassim University is very low. Besides, there are no statistically significant differences in the degree of faculty members practicing the English language for artificial intelligence applications at Qassim University based on their gender (male – female) and scientific rank (i.e., teaching assistant, lecturer, and assistant professor). Finally, the findings showed that artificial intelligence applications are more suitable for teaching reading, listening, and speaking skills than writing skills in light of the perceptions of English language faculty members. |
|---|---|
| ISSN: |
1110-3914 |
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