Identification of Learning Goals in Forum-based Communities

Abstract

Abstract-When Internet users search for information, surf on websites or discuss with others, their actions are driven by certain goals. Extraction of users' goals can enable higher effectiveness and accuracy of web services. Supporting users in based on their goals can be highly beneficial, especially supporting of learners in the preparation for an exam as a learning process, Different phases of learning are identified when users learn collaboratively. We scrutinize how goals are constructed and achieved within a community, examining not only social activities based on patterns of behavior, but also emotions and intents users express in their posts. As a result we elicit users' goals. We achieved good accuracy in defining emotions of users and recognizing their intents and social patterns in our case. Here we discuss how the obtained results contribute to mining of learning community goals.

Tagging diversity in personal learning environments

“…Tagging systems for learning often differentiate expert tags and learner tags, and aim to enhance tagging in a collaborative way. Although there has been research conducted to explore tagging and learning goals (Krenge et al 2011), the most relevant tagging research work just focuses on learning resource management, rather for the planning phase than for other learning processes. Learning resources are classified into images, links, documents, etc.…”

A Framework for Comparative Analysis of Intention Mining Approaches

“…Ontology name. Two ontologies are mainly used in intention mining methods: ConceptNet [18,66] and WordNet [19,66]. ConceptNet [74] is an ontological system for lexical knowledge and common sense knowledge representation and processing.…”

User fluctuation in communities: a forum case

“…Moreover, one further feature was extracted while mining user posts. We detect phrases of users that indicate their intentions from a linguistic point of view [8,13].…”