专题：Student Assessment and Feedback

This cluster of papers focuses on formative assessment, feedback practices, and their impact on self-regulated learning in education. It explores topics such as peer assessment, assessment literacy, rubrics, student and teacher perceptions, and the influence of feedback on learning outcomes.
最新文献
Authentic Assessment in Islamic Religious Education: Measuring Students’ Holistic Competencies through Performance-Based Evaluation

article Full Text OpenAlex

Black Box Assessment: rethinking integrity and learning for a time of Generative AI

article Full Text OpenAlex

Enhancing a large language model with a chain-of-metacognitive reasoning approach increases argumentative writing evaluation accuracy, student writing outcomes, and mental effort

article Full Text OpenAlex

Designing assessments in the generative AI era: A tailored assessment framework for ICT tertiary education

article Full Text OpenAlex

L2 learners’ engagement with AI-generated feedback on writing

article Full Text OpenAlex

AI assistance in peer feedback provision: Pedagogically sound, but minimally adopted

article Full Text OpenAlex

Transforming pedagogy with GenAI ‐supported formative assessment: Challenges for teacher education

article Full Text OpenAlex

Generative AI offers more, but students revise less: comparing the effects of teacher and AI feedback on student essay revisions

article Full Text OpenAlex

Transparency Mechanisms for Generative AI Use in Higher Education Assessment: A Systematic Scoping Review (2022–2026)

article Full Text OpenAlex

Identifying what our students have learned: a framework for practical assessment validation

article Full Text OpenAlex

近5年高被引文献