Trends in user-generated content on the Web are shifting the role of online course materials, student work, and communications channels in instructional settings. Evidence of users’ interaction with content has been brought into the foreground through interface elements which reflect and encourage interaction, including comments, ratings, tags, “likes”, view statistics, and others. This research considers such features "interaction traces" and explores their use and interpretation by student learners. This research investigates the use and perception of these features by students within a particular type of asynchronous learning environment, the creative writing workshop. Within the two courses studied, a poetry course and a fiction course, two forms of interaction traces were presented: peer criticism posted as comments on creative work and visible view counts for all comments posted in the course. Informed by the Community of Inquiry framework and using a case study methodology, this dissertation investigates whether interaction traces affect perceptions of social presence among students and how students respond to this evidence of the interaction and critique. Data were collected from course discussion transcripts, course management system usage statistics, and participant responses to six surveys. Discussion thread transcripts were subjected to content analysis for indicators of social presence. Additionally, the researcher performed individual interviews with the instructor and a subset of students. Analysis of participants' social presence, interaction with others, and participation in the class revealed evidence that peer criticism was mediated by social presence, that students engaged in a variety of individual relationships based on perceptions developed through interaction traces, and that participant reading and writing activities affected how they perceived the course and their peers. Social presence in comments served not only to humanize participants and to resolve conflict but led to confusion and frustration in some cases. The instructor's high level of social presence in the courses influenced participants and provided a model for some participants' approaches to coursework. Based on the themes which emerged from the case reports, this dissertation suggests some implications for online course planning and course management system design with regard to interaction traces. / text

Ce travail de thèse s'inscrit dans le cadre du projet < personnalisation des environnements informatiques pour l'apprentissage humain (EIAH) > financé par la Région Rhône-Alpes. La personnalisation des EIAH est essentiellement dépendante de la capacité à produire des traces pertinentes et exploitables des activités des apprenants interagissant avec un EIAH. Dans ce domaine, l'exploitation des traces relève explicitement plusieurs problématiques allant de sa représentation de manière normalisée et intelligible à son traitement et interprétation en temps différé ou en temps réel au moment même de l'apprentissage. La multiplication des pratiques et des usages des traces requiert des outils génériques pour soutenir leurs exploitations. L'objectif de cette thèse est de définir les fondements théoriques de tels outils génériques permettant l'exploitation des traces d'interaction. Ceci nous a amené à définir la notion de Systèmes à Base de Trace modélisées : une classe de systèmes à base de connaissances facilitant le raisonnement et l'exploitation des traces modélisées. L'approche théorique proposée pour construire de tels systèmes s'articule autour de deux contributions : (1) La définition d'un cadre conceptuel définissant les concepts, l'architecture et les services mobilisés par les SBT. (2) La définition d'un cadre formel pour les systèmes à base de traces modélisées. Plus précisément, la proposition d'un langage pour l'interrogation et la transformation de trace modélisées à base de règles permettant des évaluations ponctuelles et continues. La sémantique formelle de ce langage est définie sous forme d'une théorie des modèles et d'une théorie de point fixe, deux formalismes habituellement utilisés pour décrire la sémantique formelle des langages de représentation de connaissances / This thesis is funded by the Rhône-Alpes Region as a part of the project < Personalisation of Technology-Enhanced Learning (TEL) Systems >. Personalising TEL Systems is, above all, dependent on the capacity to produce relevant and exploitable traces of individual or collaborative learning activities. In this field, exploiting interaction traces addresses several problems ranging from its representation in a normalised and intelligible manner to its processing and interpretation in continuous way during the ongoing TEL activities. The proliferation of trace-based exploitations raises the need of generic tools to support their representation and exploitation. The main objective of this thesis is to define the theoretical foundations of such generic tools. To do that, we define the notion of Trace-Based System (TBS) as a kind of Knowledge-based system whose main source of knowledge is a set of trace of user-system interactions. This thesis investigates practical and theoretical issues related to TBS, covering the spectrum from concepts, services and architecture involved by such TBS (conceptual framework) to language design over declarative semantics (formal framework). The central topic of our framework is the development of a high-level trace transformation language supporting deductive rules as an abstraction and reasoning mechanism for traces. The declarative semantics for such language is defined by a (Tarski-style) model theory with accompanying fixpoint theory