Knowledge extraction and representation of collaborative activity through ontology-based and Social Network Analysis technologies

Casillas, Luis; Daradoumis, Τhanasis

doi:10.1504/ijbidm.2009.026905

Cited by 9 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In trying to avoid a restricted interface like the Sentence Opener approach, the analysis in (Casillas & Daradoumis, 2009) will be adapted to the model.…”

Section: Discussionmentioning

confidence: 99%

The Users' Avatars Nonverbal Interaction in Collaborative Virtual Environments for Learning

Negrón¹,

Vera²,

Casillas³

2012

Virtual Reality and Environments

View full text Add to dashboard Cite

“…In trying to avoid a restricted interface like the Sentence Opener approach, the analysis in (Casillas & Daradoumis, 2009) will be adapted to the model.…”

Section: Discussionmentioning

confidence: 99%

The Users' Avatars Nonverbal Interaction in Collaborative Virtual Environments for Learning

Negrón¹,

Vera²,

Casillas³

2012

Virtual Reality and Environments

View full text Add to dashboard Cite

“…Although in this chapter only nonverbal behavior took part in the facilitator modeling, our final intention is to incorporate the scheme to a verbal analysis, an example, can be found in (Peña, Aguilar, & de Antonio, 2010). In trying to avoid a restricted interface like the Sentence Opener approach, the analysis in (Casillas & Daradoumis, 2009) will be adapted to the model.…”

Section: Discussionmentioning

confidence: 99%

Virtual Reality and Environments

Sik-Lányi¹

2012

View full text Add to dashboard Cite

Dr Cecília Sik Lányi studied Mathematics and Computer Science (B.S.) -József Attila University (1981) -Mathematics and Computer Science (M.S.) -József Attila University (1984). She became Teacher of Mathematics -Berzsenyi Dániel Teacher Training College in 1988. She obtained the degree of Dr Univ. at the University of Veszprém, Hungary in Physical-chemistry (1993), and the degree of PhD at the University of Veszprém, Hungary in Computer Science (2000). She has worked as a software engineer and as an associate professor for program languages at the University of Pannonia. Currently she is focused on virtual reality and its application, user interface design, computer graphics for informatics engineering students and using multimedia in the education for teacher training courses. PhD and Masters' supervision has an emphasis on multimedia/ virtual reality for the rehabilitation of children with disabilities and patients with mental health issues. She got the "Master teacher" award of the Hungarian Ministry of Education in 2001. She has published more than 300 refereed articles and conference papers, and worked as guest editor for many renowned journals. She was the secretariat manager of EDeAN in 2009. She is the representative of Hungary in IFIP Technical Committee 13: Human-Computer Interaction (TC13).

show abstract

“…They clustered groups and learners according to quantitative indicators of activity and also proposed the use of alphabets to represent sequential patterns of interactions that can distinguish strong from weak groups. Other techniques have also been used to mine sequential patterns from collaborative data including Hidden Markov Models [Soller and Lesgold 2007], Social Network Analysis [Casillas and Daradoumis 2009] and Process Mining [Reimann et al 2009].…”

Section: Related Workmentioning

confidence: 99%

Educational Data Mining

Peña-Ayala¹

2014

Studies in Computational Intelligence

View full text Add to dashboard Cite

Knowledge extraction and representation of collaborative activity through ontology-based and Social Network Analysis technologies

Cited by 9 publications

References 8 publications

The Users' Avatars Nonverbal Interaction in Collaborative Virtual Environments for Learning

The Users' Avatars Nonverbal Interaction in Collaborative Virtual Environments for Learning

Virtual Reality and Environments

Educational Data Mining

Contact Info

Product

Resources

About