
Gabriel Gutu-RobuGeorgia State University | GSU · Department of Applied Linguistics and ESL
Gabriel Gutu-Robu
PhD
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28
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Publications (28)
When conducting research with data from smart learning systems, there is a need to protect user identities because the release of personally identifiable information (PII) poses a significant risk to participants and creates a barrier to analyzing data and/or creating open datasets. Massive open online courses (MOOCs) are a good example of learning...
Computer-Supported Collaborative Learning tools are exhibiting an increased popularity in education, as they allow multiple participants to easily communicate, share knowledge, solve problems collaboratively, or seek advice. Nevertheless, multi-participant conversation logs are often hard to follow by teachers due to the mixture of multiple and man...
Learning Management Systems frequently act as platforms for online content which is usually structured hierarchically into modules and lessons to ease navigation. However, the volume of information may be overwhelming, or only part of the lessons may be relevant for an individual; thus, the need for customized curricula emerges. We introduce a Mood...
This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game pl...
Gamification is frequently employed in learning environments to enhance learner interactions and engagement. However, most games use pre-scripted dialogues and interactions with players, which limit their immersion and cognition. Our aim is to develop a semantic matching tool that enables users to introduce open text answers which are automatically...
Chat conversations between more than two participants are often used in Computer Supported Collaborative Learning (CSCL) scenarios because they enhance collaborative knowledge sharing and sustain creativity. However, multi-participant chats are more difficult to follow and analyze due to the complex ways in which different discussion threads and to...
Providing customized curricula tailored to learner's needs became a stringent problem while relating to the increasing number of people attending Massive Open Online Courses (MOOCs) and eLearning platforms because the same content is provided to all students. This study presents a Moodle plugin created on top of an eLearning course that enables cur...
In their everyday activities, recruiters are faced with the difficult task of analyzing and judging the quality of a wide range of CVs. Both the content quality and the visual hues, such as colors and their overall structure, need to be considered. This article enhances previous researches with a larger dataset, refined indices, and a more advanced...
Multi-participant chat conversations are one of the most fre- quently employed Computer Supported Collaborative Learning tools due to their ease of use. Moreover, chats enhance knowledge sharing, sustain creativity and aid in collaborative problem solving. Nevertheless, the manual analysis of multi-participant chats is a difficult task due to the m...
To satisfy the individual learning needs of the high number of the Early Nutrition (EN) eAcademy participants, and to reduce development costs, the mass customization (MC) approach was applied. Key concepts of the learning needs, and corresponding learner subgroups with similar needs were extracted from learner-generated text using the natural lang...
Assessing textual complexity is a difficult, but important endeavor, especially for adapting learning materials to students’ and readers’ levels of understanding. With the continuous growth of information technologies spanning through various research fields, automated assessment tools have become reliable solutions to automatically assessing textu...
The goal of our research is to compare novel semantic techniques for identifying implicit links between utterances in multi-participant CSCL chat conversations. Cohesion, reflected by the strength of the semantic relations behind the automatically identified links, is assessed using WordNet-based semantic distances, as well as unsupervised semantic...
With the increasing amount of published scientific papers, it becomes paramount for learners and researchers alike to use tools that semantically annotate resources in order to facilitate the information retrieval process. Thus, we introduce a semantic annotation tool incorporated within our ReaderBench framework to provide recommendations regardin...
Nous décrivons un prototype de Manuel ouvert, online et massif (MOOT) auquel on peut intégrer diverses fonctionnalités utilisant des techniques de Traitement automatique de la langue, afin de promouvoir l'apprentissage auto-régulé. Nous discutons également de l'intérêt de disposer de ressources largement ouvertes, accessibles et flexibles dans l'en...
In this paper we introduce the online version of our ReaderBench framework, which includes multilingual comprehension-centered web services designed to address a wide range of individual and collaborative learning scenarios, as follows. First, students can be engaged in reading a course material, then eliciting their understanding of it; the readin...
This paper analyzes the results obtained by computing the semantic similarity score between pairs of words using different WordNet-based and corpus-based techniques for a custom-built corpus of documents. The authors computed semantic similarity scores for all the pairs of the most frequent words from the documents contained in the corpus, which co...
Chat conversations are used for a large range of Computer-Supported Collaborative Learning (CSCL) tasks especially because they allow the creation of multiple conversation threads that run in parallel. Thus, several different topics can be debated at the same time, fostering the exploitation of different ideas and facilitating collaborative knowled...
Chat conversations with multiple participants are widely used in solving a wide range of CSCL tasks. One of the reasons for their success is that they encourage multiple conversation threads to exist in parallel, thus allowing multiple topics and ideas to be debated at the same time. These threads may be detected more easily if we would be able to...