![]() ![]() However, in order to maximize the effectiveness of such kind of educational tool, plenty of technological and pedagogical problems still need to be addressed. MOOCs are currently offered by various organizations around the world and can count on millions of students, thousands of courses and hundreds of educational institutions (Siemens 2013). Since 2007, massive open online courses (MOOCs) are continuously becoming more and more widespread. The integration of the developed classifier inside an existing tool for conversational agents, based on the academically productive talk framework, is also presented as well as the accuracy of the proposed method in the classification of forum posts. The proposed approach is based on the application of attention-based hierarchical recurrent neural networks, in which both a recurrent network for word encoding and an attention mechanism for word aggregation at sentence and document levels are used before classification. The purpose of this paper is to report the experimental findings obtained evaluating the performance of a text categorization tool capable of detecting the intent, the subject area, the domain topics, the sentiment polarity, and the level of confusion and urgency of a forum post, so that the result may be exploited by instructors to carefully plan their interventions. ![]() In addition, students who try to clarify the concepts through such collaborative tools could not receive useful answers, and the lack of interactivity may cause a permanent abandonment of the course. However, the instructors should limit their interaction to the most critical tasks during MOOC delivery so, teacher-led scaffolding activities, such as forum-based support, can be very limited, even impossible in such environments. Additional research is necessary to refine the sequential screening methodology, with the goal of minimizing false negatives during initial post-deployment screening and minimizing false positives during follow-up evaluations.Massive open online courses (MOOCs) allow students and instructors to discuss through messages posted on a forum. We believe that post-deployment screening is important and necessary-but no screening methodology will be flawless, and false positives and false negatives are inevitable. Multiple screening methods have been used in military, Veterans Affairs, and independent studies, which complicate cross-study comparisons of the resulting epidemiological data. The purpose of this article is to discuss challenges associated with post-deployment screening for MTBI. Accurate and timely estimates of the incidence of brain injury and the prevalence of long-term problems associated with brain injuries among active duty service members and veterans are essential for (a) operational planning, and (b) to allocate sufficient resources for rehabilitation and ongoing services and supports. There is ongoing debate regarding the epidemiology of mild traumatic brain injury (MTBI) in military personnel.
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