Recognition of Learner's Personality Traits through Digital Annotations in Distance Learning

Abstract

Researchers in distance education are interested in observing and modelling of learner's personality profile, and adapting their learning experiences accordingly. When learners read and interact with their reading materials, they do unselfconscious activities like annotation which may be key feature of their personalities. Annotation activity requires the reader to be active, to think critically and to analyse what has been written, and to make specific annotations in the margins of the text. These traces are reflected through underlining, highlighting, scribbling comments, summarizing, asking questions, expressing confusion or ambiguity, and evaluating the content of reading. In this paper, the authors present a semi-automatic approach to build learners' personality profiles based on their annotation traces yielded during active reading sessions. The experimental results show the system's efficiency to measure, with reasonable accuracy, the scores of learner's personality traits.

Assistance of Student by Web Services based on Annotations

“…We explore the validity of our hypothesis in the context of digital annotation [26]. Our results are significant and coherent to our prior findings in the "pen-and-paper" context.…”

“…To associate personality scores to subjects' annotative activities, we gathered annotation practices for each people and we collected a simple set of statistics about their annotative activity. We studied the Pearson correlation between subjects' personality scores and each of the features obtained from analyzing their annotative activities [25]. Our findings show significant correlation of annotation practices to certain personality traits (Consciousness and Neuroticism).…”

Educational Recommender System based on Learner’s Annotative Activity

“…Through the annotation module, learner makes a set of annotative acts during his reading activity that will be stored in an annotation ontology [10] which is composed of three aspects of the annotation:…”

“…Then, he obtained a feedback regarding his personality based on his responses. This step gives us the personality scores based on the Big Five Model for each volunteer [28].…”

“…Our findings show significant correlation of annotation practices to certain personality traits (Consciousness and Neuroticism). The constructed personality profile will be used as input data to the recommendation module to filter and adapt the list of web services compiled with regard to the objectives of learners' annotations [29].…”