In this meta-analysis, we investigated the effects of methods for providing item-based feedback in a computer-based environment on students' learning outcomes. From 40 studies, 70 effect sizes were computed, which ranged from −0.78 to 2.29. A mixed model was used for the data analysis. The results show that elaborated feedback (EF; e.g., providing an explanation) produced larger effect sizes (0.49) than feedback regarding the correctness of the answer (KR; 0.05) or providing the correct answer (KCR; 0.32). EF was particularly more effective than KR and KCR for higher order learning outcomes. Effect sizes were positively affected by EF feedback, and larger effect sizes were found for mathematics compared with social sciences, science, and languages. Effect sizes were negatively affected by delayed feedback timing and by primary and high school. Although the results suggested that immediate feedback was more effective for lower order learning than delayed feedback and vice versa, no significant interaction was found.
a b s t r a c tAlthough many researchers acknowledge that Assessment for Learning can significantly enhance student learning, the factors facilitating or hindering its implementation in daily classroom practice are unclear. A systematic literature review was conducted to reveal prerequisites needed for Assessment for Learning implementation. Results identified prerequisites regarding the teacher, student, assessment and context. For example, teachers must be able to interpret assessment information on the spot, student engagement in the assessment process is vital, assessment should include substantial, constructive and focussed feedback, and the school should have a school-wide culture that facilitates collaboration and encourages teacher autonomy. The results of this review contribute to a better understanding of the multiple facets that need to be considered when implementing Assessment for Learning, from both a theoretical and a practical standpoint.
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