Wejdan Awadallah Alkouk
Biographic Data
| ID | 9978097 |
|---|---|
| NAME | Wejdan Awadallah Alkouk |
| GIVEN NAMES | Wejdan Awadallah |
| FAMILY NAME | Alkouk |
| SIGNATURE | ALKOUK W A |
| AFFILIATIONS | Birzeit University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Redesigning Assessments for AI-Enhanced Learning
The emergence of generative artificial intelligence (Gen AI) in education offers both opportunities and challenges, particularly in the context of student assessment. This study examines faculty members’ motivations to redesign assessments for their courses in the Gen AI era and introduces a framework for this purpose. A qualitative methodology was employed, gathering data through semi-structured interviews and focus groups, along with examples o…
AI-resistant assessments in higher education
The emergence of generative AI in education introduces both opportunities and challenges, especially in student assessment. This paper explores the transformative influence of generative AI on assessment practices, drawing from recent training workshops conducted with educators in the Global South. It examines how AI can enrich traditional assessment approaches by fostering critical thinking, creativity, and collaboration. The paper introduces in…
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AI-resistant assessments in higher education
The emergence of generative AI in education introduces both opportunities and challenges, especially in student assessment. This paper explores the transformative influence of generative AI on assessment practices, drawing from recent training workshops conducted with educators in the Global South. It examines how AI can enrich traditional assessment approaches by fostering critical thinking, creativity, and collaboration. The paper introduces in…
Redesigning Assessments for AI-Enhanced Learning
The emergence of generative artificial intelligence (Gen AI) in education offers both opportunities and challenges, particularly in the context of student assessment. This study examines faculty members’ motivations to redesign assessments for their courses in the Gen AI era and introduces a framework for this purpose. A qualitative methodology was employed, gathering data through semi-structured interviews and focus groups, along with examples o…
Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Computer Science (2 works) · Generative grammar (2 works) · Psychology (2 works) · Academic integrity and plagiarism (1 work) · Creativity (1 work) · Engineering (1 work) · Engineering ethics (1 work) · Ethics and Social Impacts of AI (1 work)