Validating the Reflective Writing Framework (RWF) for assessing reflective writing in computer science education through manual annotation

The accuracy of a framework for annotating reflective writing can be increased through the evaluation and revision of the annotation scheme to ensure the reliability and validity of the framework. To our knowledge, there is a lack of literature related to the accuracy of any reflective writing framework in Computer Science (CS) education. This paper describes a manual annotation scheme, applied during four pilot studies, to validate the authors’ novel Reflective Writing Framework (RWF) for CS education. The results show, through the pilot studies, that the accuracy of Inter-Rater Reliability (IRR) increases from 0.5 to 0.8, which was substantial and close to an almost perfect agreement. This paper contributes to CS education through the reliability and validity of the RWF that can be potentially used for generating an Intelligent Tutoring Systems (ITS) using machine learning algorithms

Characterizing Interactions among Members of Deaf Communities in Orkut

Part 1: Long and Short PapersInternational audienceThis paper presents a characterization of interaction phenomena among members of communities aimed at deaf people in an online social network system, namely Orkut. The results revealed that members of deaf communities are tighter than members of other communities. However, analysis of the interface indicates that it does not always address their specific needs