Forum (informatique)

vignette|Un forum En informatique, un forum est un espace de discussion publique (ou au moins ouvert à plusieurs participants). Les discussions y sont archivées ce qui permet une communication asynchrone (c'est ce qui différencie les forums de la messagerie instantanée). Il y a deux sortes de forum, en fonction du classement des messages : soit les « forums de discussion » dont les messages sont classés par date chronologique, soit les « forums de questions / réponses » dont les messages sont classés par votes. Forum est un terme d'origine latine (popularisé par l'anglais) désignant une place de la ville consacrée à la discussion et au commerce. On regroupe maintenant sous ce thème Usenet qui existait déjà avant l'apparition d'Internet, et les forums Web qui ont accompagné le développement du Web dynamique. On peut aussi considérer les listes de diffusion – qui sont composées de courriels – comme étant des forums. Un forumeur est un utilisateur de forum. Nature Ce lieu de

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A Case Study on the Effect of Using an Anchored-Discussion Forum in a Programming Course

Jean-Philippe Pellet

In the context of a programming course taught to college freshmen, we give an account of the switch from a classical, Moodle-based discussion forum to MIT's NotaBene (NB) platform. One of the defining features of NB is to anchor each discussion thread to a given rectangular zone freely highlightable in any of the course's PDF documents. In doing so, it forces a precise contextualization of every post-be it to a slide from the lectures, to a sentence from the instructions in the exercises, or to lines of code in the given exercise keys. We hypothesize that this feature lowers the contextualization effort needed to ask a question, thus strengthening students' engagement and, ultimately, understanding of the matter. Using historical data on three years of giving the same course, we first examine and classify the students' interventions with both the traditional and the NB-based approach to see if the questions significantly differ qualitatively or quantitatively. We also quantify the contextualization effort needed in both approaches. Finally, we discuss our teacher experience with both platforms and make recommendations on the choice such a discussion forum in a programming course.

SPRINGER INTERNATIONAL PUBLISHING AG2018

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Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees

Boi Faltings, Fei Mi

Massive open online courses (MOOCs) have demonstrated growing popularity and rapid development in recent years. Discussion forums have become crucial components for students and instructors to widely exchange ideas and propagate knowledge. It is important to recommend helpful information from forums to students for the benefit of the learning process. However, students or instructors update discussion forums very often, and the student preferences over forum contents shift rapidly as a MOOC progresses. So, MOOC forum recommendations need to be adaptive to these evolving forum contents and drifting student interests. These frequent changes pose a challenge to most standard recommendation methods as they have difficulty adapting to new and drifting observations. We formalize the discussion forum recommendation problem as a sequence prediction problem. Then we compare different methods, including a new method called context tree (CT), which can be effectively applied to online sequential recommendation tasks. The results show that the CT recommender performs better than other methods for MOOCs forum recommendation task. We analyze the reasons for this and demonstrate that it is because of better adaptation to changes in the domain. This highlights the importance of considering the adaptation aspect when building recommender system with drifting preferences, as well as using machine learning in general.

2017

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Security Analysis of Accountable Anonymity in Dissent

Henry Nathaniel Corrigan-Gibbs, Bryan Alexander Ford

Users often wish to communicate anonymously on the Internet, for example in group discussion or instant messaging forums. Existing solutions are vulnerable to misbehaving users, however, who may abuse their anonymity to disrupt communication. Dining Cryptographers Networks (DC-nets) leave groups vulnerable to denial-of-service and Sybil attacks, mix networks are difficult to protect against traffic analysis, and accountable voting schemes are unsuited to general anonymous messaging. DISSENT is the first general protocol offering provable anonymity and accountability for moderate-size groups, while efficiently handling unbalanced communication demands among users. We present an improved and hardened DISSENT protocol, define its precise security properties, and offer rigorous proofs of these properties. The improved protocol systematically addresses the delicate balance between provably hiding the identities of well-behaved users, while provably revealing the identities of disruptive users, a challenging task because many forms of misbehavior are inherently undetectable. The new protocol also addresses several non-trivial attacks on the original DISSENT protocol stemming from subtle design flaws.

2014

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Internet

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Réseautage social

alt=Visualisation du réseau social Reddit|vignette|283x283px|Visualisation des interactions entre des utilisateurs du réseau social Reddit durant une discussion en 2017. Le réseautage social est un te

Blog

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