Concept: Student Assessment and Feedback
Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers’ Assessment Literacy
How explainable AI helps future teachers develop better assessment skills
Preservice teachers’ assessment literacy: A systematic review
How preservice teachers develop competence in classroom assessment
Harnessing Pre-Course Aptitude Tests to Predict Performance on an Introductory Programming Assessment in Higher Education
Predicting which introductory programming students need early support
Formative assessment as a predictor of metacognitive skills: A structural equation modeling study
How formative assessment strengthens metacognitive skills in secondary students
Evaluating the Quality of Student-Created Multiple-Choice Questions against Faculty-Created Multiple-Choice Questions Using the Item Writing Flaws Evaluation Instrument
Student-designed exam questions match faculty quality when evaluated systematically
Creating feedback with ImPACT : Improving consistency in feedback through the design of principles of good feedback and creating common QuickMarks
Standardizing feedback messages improves assessment clarity and teaching efficiency
Directive, metacognitive, or a blend of both? A comparison of AI-generated feedback types on student engagement, confidence, and outcomes
How AI feedback types affect student revisions and learning outcomes
Changing assessment landscape in management education with AI-driven technologies: impacts and drivers
How universities in Sri Lanka integrate AI tools into student assessment and grading
Examining the Role of Teachers’ Feedback in Enhancing Students’ Spelling and Grammatical Skills
How teacher feedback improves spelling and grammar skills in middle school students
Washback Effect of Standardized High-Stakes Tests on Academic Achievement in English Lesson: A Study on High School Entrance Exam in Türkiye
Turkish high school students lose English proficiency years after high-stakes exam preparation
