Modelling of distance education forum: Formal languages as interpretation methodology of messages in asynchronous text-based discussion

Patriarcheas, Kiriakos; Xenos, Michalis

doi:10.1016/j.compedu.2008.09.013

Cited by 29 publications

(12 citation statements)

References 26 publications

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“…Given that it was about adults' educational groups, it shall be noticed that during the aforementioned procedure it was utilized the previous practical and research experience within the framework of the HOU concerning, among others, previous projects related to HOU students' attitude [14,15,16], as well as to the forums' modelling as a methodology of messages' interpretation [4] in distance education, which is in brief presented below.…”

Section: Methodsmentioning

confidence: 99%

“…This study refers to a distance education program for computer teachers and studies the most appropriate group size as for participation but also the educational effectiveness of five-member and seven-member WG when WG technique is implemented through a distance education forum using the open source framework Moodle (version 1.8.3). This study uses a specific modelling development and initially applied with success for Hellenic Open University's (HOU) fora [4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Suitable Asynchronous Distance Education for a Size for Working Groups in Informatics Teachers Training

Patriarcheas

Papaloukas

Xenos

2009

2009 Fourth Balkan Conference in Informatics

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A substantial communication tool used in distance education is the asynchronous discussion fora. One of the most popular educational techniques used by fora of distance education is the educational technique of working groups which is the eminent technique that may be applied in all stages of a learning circle. This study uses a specific modelling made for Hellenic Open University's fora, refers to a distance education program for computer teachers and studies the most appropriate group size when working groups technique is implemented through an asynchronous discussion forum, both as for participation and also as for the educational effectiveness.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Suitable Asynchronous Distance Education for a Size for Working Groups in Informatics Teachers Training

Patriarcheas

Papaloukas

Xenos

2009

2009 Fourth Balkan Conference in Informatics

Self Cite

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“…Forums are a communication service widely used in e-learning environments. To analyze forums and their interactions, some researchers have focused on encoding forums and messages (Patriarcheas and Xenos 2009) or mining them to obtain student characteristics (Dringus and Ellis 2005;Cocea and Weibelzahl 2009), even using time variables (Dringus and Ellis 2010). The literature encourages analysis of forum interactions to discover student characteristics and behavior.…”

Section: Introductionmentioning

confidence: 99%

Content-free collaborative learning modeling using data mining

Anaya

Boticario

2011

User Model User-Adap Inter

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Modeling user behavior (user modeling) via data mining faces a critical unresolved issue: how to build a collaboration model based on frequent analysis of students in order to ascertain whether collaboration has taken place. Numerous humanbased and knowledge-based solutions to this problem have been proposed, but they are time-consuming or domain-dependent. The diversity of these solutions and their lack of common characteristics are an indication of how unresolved this issue remains. Bearing this in mind, our research has made progress on several fronts. First, we have found supportive evidence, based on a collaborative learning experience with hundreds of students over three consecutive years, that an approach using domain independent learning that is transferable to current e-learning platforms helps both students and teachers to manage student collaboration better. Second, the approach draws on a domain-independent modeling method of collaborative learning based on data mining that helps clarify which user-modeling issues are to be considered. We propose two data mining methods that were found to be useful for evaluating student collaboration, and discuss their respective advantages and disadvantages. Three data sources to generate and evaluate the collaboration model were identified. Third, the features being modeled were made accessible to students in several meta-cognitive tools. Their usage of these tools showed that the best approach to encourage student collaboration is to show only the most relevant inferred information, simply displayed. Moreover, these tools also provide teachers with valuable modeling information to improve their management of the collaboration. Fourth, an ontology, domain independent features 123 182 A. R. Anaya, J. G. Boticario and a process that can be applied to current e-learning platforms make the approach transferable and reusable. Fifth, several open research issues of particular interest were identified. We intend to address these open issues through research in the near future.

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“…The quality of distance education relies mainly on learning material design and quality as well as on the quality of communication (in a broad sense) between the student, on the one hand, and the tutor and the educational institution, on the other hand (Patriarcheas and Xenos 2009). Some author's (Lin et al 2009;Dringus and Ellis 2005) use content analysis to study a discussion forum.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Students’ Study Activities in Virtual Learning Environments Using Data Mining Methods / Studentų, Besimokančių Virtualaus Mokymo Aplinkoje, Veiklos Analizė Taikant Duomenų Gavybos Metodus

Preidys¹,

Sakalauskas²

2010

Technological and Economic Development of Economy

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Abstract. This article deals with application of data mining methods' to analysis of learners' behaviour using the distance learning platform BlackBoard Vista (BlackBoard 2008). Before planning a distance learning course, instructors have to pay attention to the fact that there exist different study methods: some students start reading learning materials from the very beginning to the end, some students look at unclear topics only, some start with the discussions, etc. Therefore after analyzing the learning factors and identifying learner's style, it is possible to prepare individualized learning materials and to choose a proper way of course presentation. Such a way of study organization would improve the quality of studies and make it possible to reach better results. The research was performed by observing the behaviour and results achieved by 528 students in 15 distance learning courses and, using the clustering method, 3 learner's styles using virtual learning environments (VLE) have been identified and work methods proposed for students with regard to those learners' styles. Besides, the research aims to find out the factors that influence final evaluations of students' .

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Modelling of distance education forum: Formal languages as interpretation methodology of messages in asynchronous text-based discussion

Cited by 29 publications

References 26 publications

Suitable Asynchronous Distance Education for a Size for Working Groups in Informatics Teachers Training

Suitable Asynchronous Distance Education for a Size for Working Groups in Informatics Teachers Training

Content-free collaborative learning modeling using data mining

Analysis of Students’ Study Activities in Virtual Learning Environments Using Data Mining Methods / Studentų, Besimokančių Virtualaus Mokymo Aplinkoje, Veiklos Analizė Taikant Duomenų Gavybos Metodus

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