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    ABSTRACT Starting from the socio-constructivist concepts of (virtual) community of practice (vCoP) and internet-based argumentative open-ended learning environments, this study proposes and validates two tools for automated dialogue... more
    ABSTRACT Starting from the socio-constructivist concepts of (virtual) community of practice (vCoP) and internet-based argumentative open-ended learning environments, this study proposes and validates two tools for automated dialogue assessment, ReaderBench and Important Moments, developed on the ground of the polyphonic social knowledge building model. The analyzed corpus was the dialogue produced by an academic vCoP with N = 179 community members in 23 months, and consisting of 3685 interventions in 292 text-based discussion threads. The analysis results uncovered significant differences in the discussion threads produced by central and peripheral participants, such that central participants produced more interventions with higher collaborative dialogue quality, and the discussion threads they initiated were longer and involved a larger number of participants. Moreover, based on the automated analysis result, the vCoP participants could be classified in two clusters corresponding to the well-known core-periphery structure of CoPs. These findings are consistent with those revealed by other methods, and suggest that the employed tools are appropriate for identifying virtual communities that are appropriate as open-ended learning environments. Further research and development is needed to deepen quantitative vCoP models and test communication strategies recommended to students in vCoP-based argumentative open-ended learning environments.
    Understanding a text in order to learn is subject to modeling and is partly dependent to the complexity of the read text. We transpose the evaluation process of textual complexity into measurable factors, identify linearly independent... more
    Understanding a text in order to learn is subject to modeling and is partly dependent to the complexity of the read text. We transpose the evaluation process of textual complexity into measurable factors, identify linearly independent variables and combine multiple perspectives to obtain a holistic approach, addressing lexical, syntactic and semantic levels of textual analysis. Also, the proposed evaluation model combines statistical factors and traditional readability metrics with information theory, specific information retrieval ...
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    Chat-like conversations are very popular and are often used by members of communities of practice to share ideas, propose solutions and to solve problems. With the advent and increasing popularity of Computer Supported Collaborative... more
    Chat-like conversations are very popular and are often used by members of communities of practice to share ideas, propose solutions and to solve problems. With the advent and increasing popularity of Computer Supported Collaborative Learning (CSCL), chat conversations have also started to be used in a formal educational setting. However, the main problem when tutors tried to assess their students' chat conversations is that this process is very difficult and time consuming. Therefore, several efforts have been ...
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    Page 1. A. Ramsay and G. Agre (Eds.): AIMSA 2012, LNAI 7557, pp. 59–68, 2012. © Springer-Verlag Berlin Heidelberg 2012 Analyzing Emotional States Induced by News Articles with Latent Semantic Analysis Diana Lupan1, Mihai Dascălu1,2,... more
    Page 1. A. Ramsay and G. Agre (Eds.): AIMSA 2012, LNAI 7557, pp. 59–68, 2012. © Springer-Verlag Berlin Heidelberg 2012 Analyzing Emotional States Induced by News Articles with Latent Semantic Analysis Diana Lupan1, Mihai Dascălu1,2, ,Stefan ...
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    ABSTRACT Abstract Participation in virtual communities of practice (vCoP) can be influenced at the same time by technology acceptance and by community factors. To overcome methodological issues connected with the analysis of these... more
    ABSTRACT Abstract Participation in virtual communities of practice (vCoP) can be influenced at the same time by technology acceptance and by community factors. To overcome methodological issues connected with the analysis of these influences, learning analytics were applied. Based on a recent vCoP model, the collaborative dialogue comprising 4040 interventions in 1981 messages created by a vCoP located at a US American online university was automatically analyzed. The text-based asynchronous online discussions were scored using a cohesion-based participation and collaboration analysis. Additionally, a sample of N = 133 vCoP participants responded a technology acceptance survey. Thus, a combined research model including the vCoP model and an established technology acceptance model was verified. The results confirmed the vCoP model entirely, and the acceptance model only partially. As consequence for educational research, the CoP model was confirmed and extended to vCoP settings, while the acceptance model appears to need reconsideration. For academic practice, the study initiates the development of assessment tools fostering knowledge sharing through dialogue in vCoP. Also, it suggests how virtual classrooms can be extended to open spaces where value creation takes place through social learning. Learning analytics proved thus successful, provides information that impacts both theory and practice of technology-enhanced learning.
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