The Experts below are selected from a list of 48699 Experts worldwide ranked by ideXlab platform
Vlado Galičić - One of the best experts on this subject based on the ideXlab platform.
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An applicability of regression control charts in Educational Process control
2020Co-Authors: Igor Brajdić, Vlado GaličićAbstract:The paper is an overview of previous researches on the topic of using regression analiysis in statistical control charts. In those researchs the autors investigated how to combine regression analysis and control charts in order to obtain a powerful tool of controlling two correlated variables. The paper points out the multiple possibilities and the wide applicability of regression control charts in Educational Process monitoring, improvement and control. The paper represents an outline of previous studies on regression control charts conducted by several authors. The aim of the paper was to research the applicabnility of regression control charts in Educational Process control, improvement and forecasting. The research premises were that tourism is an important sector of Croatian economy and that education is a precondition of tourism improvement.
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An Applicability Study of Regression Control Charts in Educational Process Control
2020Co-Authors: Tea Baldigara, Vlado GaličićAbstract:The paper is an overview of previous researches on the topic of using regression analysis in statistical control charts. In those researches the authors investigated how to combine regression analysis and control charts in order to obtain a powerful tool of controlling two correlated variables. The paper points out the multiple possibilities and the wide applicability of regression control charts in Educational Process monitoring, improvement and control. The paper represents an outline of previous studies on regression control charts conducted by several authors. The aim of the paper was to research the applicability of regression control charts in Educational Process control, improvement and forecasting. The research premises were that tourism is an important sector of Croatian economy and that education is a precondition of tourism improvement.
Tea Baldigara - One of the best experts on this subject based on the ideXlab platform.
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Multilevel models in Educational Process performance evalutation
Tourism hospitality management, 2020Co-Authors: Zoran Ivanović, Tea BaldigaraAbstract:The scope of the paper is to present how multilevel models can be used in Educational Process performance evaluation. In the first part Educational Process is defined, with a particular attention to Educational Process performance, efficiency effectiveness and hierarchical structure of the Educational Process. The second part of the paper is dedicated to multilevel models, their characteristics and application. The last part of the paper shows how a basic two-level regression model can be set up and used in students’ satisfaction evaluation.
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Information System and Educational Process Evaluation
2020Co-Authors: Igor Brajdić, Tea Baldigara, Ljubica PilepićAbstract:High education is, under current scientifically-technological circumstances, the precondition and the promoter of the development of every country. High education has become one of the basic development factors, thus determining the quality of human capital as an important development resource. Starting from the importance of high education, it is evident that certain measures should be taken to improve it and draw it closer to the worldwide Educational trend. This paper is, therefore dedicated to Educational Process, evaluation as a start point of its improvement. Nowadays, the evaluation of Educational Process effectiveness and efficiency becomes a major modern management issue. In order to be successful, Educational Process evaluation should be supported by an adequately designed information system as a relevant source of information about the Process itself. High education institutions should, in order to survive and be successful in the turmoil of modern technologies and development tendencies, accept new ways of management. Under update turbulent market condition, strong competitiveness, globalization and the Process of Euro-integration, any, even the slightest delay in acceptance and application of new management methods can be fatal.
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An Applicability Study of Regression Control Charts in Educational Process Control
2020Co-Authors: Tea Baldigara, Vlado GaličićAbstract:The paper is an overview of previous researches on the topic of using regression analysis in statistical control charts. In those researches the authors investigated how to combine regression analysis and control charts in order to obtain a powerful tool of controlling two correlated variables. The paper points out the multiple possibilities and the wide applicability of regression control charts in Educational Process monitoring, improvement and control. The paper represents an outline of previous studies on regression control charts conducted by several authors. The aim of the paper was to research the applicability of regression control charts in Educational Process control, improvement and forecasting. The research premises were that tourism is an important sector of Croatian economy and that education is a precondition of tourism improvement.
Igor Brajdić - One of the best experts on this subject based on the ideXlab platform.
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Information System and Educational Process Evaluation
2020Co-Authors: Igor Brajdić, Tea Baldigara, Ljubica PilepićAbstract:High education is, under current scientifically-technological circumstances, the precondition and the promoter of the development of every country. High education has become one of the basic development factors, thus determining the quality of human capital as an important development resource. Starting from the importance of high education, it is evident that certain measures should be taken to improve it and draw it closer to the worldwide Educational trend. This paper is, therefore dedicated to Educational Process, evaluation as a start point of its improvement. Nowadays, the evaluation of Educational Process effectiveness and efficiency becomes a major modern management issue. In order to be successful, Educational Process evaluation should be supported by an adequately designed information system as a relevant source of information about the Process itself. High education institutions should, in order to survive and be successful in the turmoil of modern technologies and development tendencies, accept new ways of management. Under update turbulent market condition, strong competitiveness, globalization and the Process of Euro-integration, any, even the slightest delay in acceptance and application of new management methods can be fatal.
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An applicability of regression control charts in Educational Process control
2020Co-Authors: Igor Brajdić, Vlado GaličićAbstract:The paper is an overview of previous researches on the topic of using regression analiysis in statistical control charts. In those researchs the autors investigated how to combine regression analysis and control charts in order to obtain a powerful tool of controlling two correlated variables. The paper points out the multiple possibilities and the wide applicability of regression control charts in Educational Process monitoring, improvement and control. The paper represents an outline of previous studies on regression control charts conducted by several authors. The aim of the paper was to research the applicabnility of regression control charts in Educational Process control, improvement and forecasting. The research premises were that tourism is an important sector of Croatian economy and that education is a precondition of tourism improvement.
C. Romero - One of the best experts on this subject based on the ideXlab platform.
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a survey on Educational Process mining
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, 2018Co-Authors: Alejandro Bogarín, Rebeca Cerezo, C. RomeroAbstract:Educational Process mining (EPM) is an emerging field in Educational data mining (EDM) aiming to make unexpressed knowledge explicit and to facilitate better understanding of the Educational Process. EPM uses log data gathered specifically from Educational environments in order to discover, analyze, and provide a visual representation of the complete Educational Process. This paper introduces EPM and elaborates on some of the potential of this technology in the Educational domain. It also describes some other relevant, related areas such as intentional mining, sequential pattern mining and graph mining. It highlights the components of an EPM framework and it describes the different challenges when handling event logs and other generic issues. It describes the data, tools, techniques and models used in EPM. In addition, the main work in this area is described and grouped by Educational application domains.
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A survey on Educational Process mining
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2018Co-Authors: Alejandro Bogarín, Rebeca Cerezo, C. RomeroAbstract:© 2017 Wiley Periodicals, Inc. Educational Process mining (EPM) is an emerging field in Educational data mining (EDM) aiming to make unexpressed knowledge explicit and to facilitate better understanding of the Educational Process. EPM uses log data gathered specifically from Educational environments in order to discover, analyze, and provide a visual representation of the complete Educational Process. This paper introduces EPM and elaborates on some of the potential of this technology in the Educational domain. It also describes some other relevant, related areas such as intentional mining, sequential pattern mining and graph mining. It highlights the components of an EPM framework and it describes the different challenges when handling event logs and other generic issues. It describes the data, tools, techniques and models used in EPM. In addition, the main work in this area is described and grouped by Educational application domains. WIREs Data Mining Knowl Discov 2018, 8:e1230. doi: 10.1002/widm.1230. This article is categorized under: Application Areas > Business and Industry Application Areas > Education and Learning Application Areas > Government and Public Sector.
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Clustering for Improving Educational Process Mining
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge - LAK '14, 2014Co-Authors: Alejandro Bogarín, Rebeca Cerezo, C. Romero, Miguel Sánchez-santillánAbstract:In this paper, we propose to use clustering to improve Educational Process mining. We want to improve both the performance and comprehensibility of the models obtained. We have used data from 84 undergraduate students who followed an online course using Moodle 2.0. We propose to group students firstly starting from data about Moodle's usage summary and/or the students' final marks in the course. Then, we propose to use data from Moodle's logs about each cluster/group of students separately in order to be able to obtain more specific and accurate models of students' behaviour. The results show that the fitness of the specific models is greater than the general model obtained using all the data, and the comprehensibility of the models can be also improved in some cases.
Nasser Khelifa - One of the best experts on this subject based on the ideXlab platform.
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SIMPDA - Using Semantic Lifting for Improving Educational Process Models Discovery and Analysis.
2020Co-Authors: Awatef Hicheur Cairns, Joseph Assu Ondo, Billel Gueni, Mehdi Fhima, Marcel Schwarcfeld, Christian Joubert, Nasser KhelifaAbstract:Educational Process mining is an emerging field in the Educational data mining (EDM) discipline, concerned with discovering, analyzing, and improving Educational Processes based on information hidden in datasets and logs. These data are recorded by Educational systems in different forms and at different levels of granularity. Often, Process discovery and analysis techniques applied in the Educational field have relied exclusively on the syntax of labels in databases. Such techniques are very sensitive to data heterogeneity, labelname variation and their frequent changes. Consequently, large Educational Process models are discovered without any hierarchy or structuring. In this paper we show how by linking labels in event logs to their underlying semantics, we can bring Educational Processes discovery to the conceptual level. In this way, more accurate and compact Educational Processes can be mined and analyzed at different levels of abstraction. We have tested this approach using the Process mining Framework ProM 5.2.
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a two step clustering approach for improving Educational Process model discovery
Workshops on Enabling Technologies: Infrastracture for Collaborative Enterprises, 2016Co-Authors: Hanane Ariouat, Awatef Hicheur Cairns, Kamel Barkaoui, Jacky Akoka, Nasser KhelifaAbstract:Process mining refers to the extraction of Process models from event logs. As real-life Processes tend to be less structured and more flexible, clustering techniques are used to divide traces into clusters, such that similar types of behavior are grouped in the cluster. Educational Process mining is an emerging field in the Educational data mining (EDM) discipline, concerned with developing methods to better understand students' learning habits and the factors influencing their performance. However, the obtained models, usually, cannot fit well to the general students' behaviour and can be too large and complex for use or analysis by an instructor. These models are called spaghetti models. In the present work, we propose to use a two steps-based approach of clustering to improve Educational Process mining. The first step consist of creating clusters based employability indicators and the second step consist on clustering the obtained clusters using the AXOR algorithm which is based on traces profiles in order to refine the obtained results from the first step. We have experimented this approach using the tool ProM Framework and we have found that this approach optimizes at the same time, both the performance/suitability and comprehensibility/size of the obtained model.
