Prediction and assessment of student behaviour in open and distance education in computers using Bayesian networks

Xenos, Michalis

doi:10.1016/j.compedu.2003.09.005

Cited by 111 publications

(47 citation statements)

References 4 publications

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“…They completed their inductions but did not start to look at the course materials. This dropout rate is within the 25-40% rate found in other evaluations of e-learning courses (Carter, 1996;Parker, 2003;Xenos, 2004). It can possibly be attributed to the volunteers' low financial outlay and the lack of guarantee of academic credits on completion of the course, as it was only a pilot version.…”

Section: Discussionmentioning

confidence: 48%

Social WorkersCane-Learn: Evaluation of a Pilot Post-Qualifying e-Learning Course in Research Methods and Critical Appraisal Skills for Social Workers

Webber

Currin

Groves

et al. 2010

Social Work Education

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Social workers are increasingly encouraged to become research minded and integrate research findings into their practice. However, there is a paucity of high-quality accessible training for social workers in research methods and critical appraisal skills. We developed an e-learning version of an MSc degree module to widen access to this kind of training and this paper presents the findings of an evaluation of a pilot of this e-learning course. To test the effectiveness of the e-learning environment in delivering research methods and critical appraisal skills training to social workers in comparison with a classroom group, we adopted a mixed methods approach which comprised concept mapping exercises, semistructured interviews and evaluation questionnaires administered to the e-learners (n ¼ 3) and a classroom comparison group (n ¼ 12). Our analysis of the students' concept maps revealed no conspicuous differences in the quality of student knowledge changes that were a consequence of the mode of teaching delivery. The e-learners met the learning outcomes of the module to the same extent as the classroom group and were highly satisfied with the mode of delivery. Although this was a small pilot, it provided tentative evidence that social workers can use e-learning to develop evidence-based practice skills.

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Section: Discussionmentioning

confidence: 48%

Social WorkersCane-Learn: Evaluation of a Pilot Post-Qualifying e-Learning Course in Research Methods and Critical Appraisal Skills for Social Workers

Webber

Currin

Groves

et al. 2010

Social Work Education

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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%

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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“…Their results indicated that the Bayesian Network can be used to determine the students' perception styles accurately. Xenos et al [8] studied a behavior model based on data obtained from distance learning students enrolled in an open university. It was reported that the proposed model yielded good results in both the prediction and evaluation of student manners based on their past experiences.…”

Section: Introductionmentioning

confidence: 99%

Using Bayesian Network for planning course registration model for undergraduate students

Pumpuang

Srivihok

Praneetpolgrang

et al. 2008

2008 2nd IEEE International Conference on Digital Ecosystems and Technologies

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The objective of this study is to propose a model for planning course registration by using a data mining technique: Bayesian Network. The proposed model can be used to predict the sequences of courses to be registered by undergraduate students whose majors are computer science or engineering. The data set was obtained from student enrolments and include GPA and grades in each subject for first and second year students from a private university in Thailand. Evaluations show that the predictive power of this model is acceptable. The implications from this study's findings suggest that the model can be applied for advising students in planning courses to be registered in each semester. Further, the model appears to be useful for improving curriculum development in order to fit both students' and university requirements.

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Prediction and assessment of student behaviour in open and distance education in computers using Bayesian networks

Cited by 111 publications

References 4 publications

Social WorkersCane-Learn: Evaluation of a Pilot Post-Qualifying e-Learning Course in Research Methods and Critical Appraisal Skills for Social Workers

Social WorkersCane-Learn: Evaluation of a Pilot Post-Qualifying e-Learning Course in Research Methods and Critical Appraisal Skills for Social Workers

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

Using Bayesian Network for planning course registration model for undergraduate students

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