Selection task and computer-based feedback to improve the searching process in task-oriented reading situations
Adaptive feedback has showed to be effective to enhance strategic reading behaviors and performance in task-oriented reading situations, but it is difficult to be implemented in classroom environments. Computer-based systems allow overcoming these challenges. We conducted an experiment in which secondary-school students read two texts, answered comprehension questions and selected relevant text information while receiving automatic feedback about selection accuracy and performance. Two experimental conditions were designed to assess the effects of feedback and selection attempts. Then, students perform a transfer task without any of these elements. We found that one-attempt and two-attempt groups outperformed the control group on the training phase and improved their searching process in the transfer phase, although two-attempt group showed a more effective searching process. In addition, both experimental groups were more aware about the effective strategies. This study emphasizes the potential of computer-based systems to teach specific task-oriented readings skill.
Serrano, M.A., Vidal-Abarca, E., Mañez, I., & Candel, C. (2015, julio). Selection task and computer-based feedback to improve the searching process in task-oriented reading situations. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.) Lecture Notes in Computer Science: Vol. 9112. Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015) (pp. 804-807). Madrid, Spain: Springer.