Deciding on the architecture of the concept map based knowledge assessment system

Lukashenko, Romans; Viļķelis, Marks; Anohina, Alla

doi:10.1145/1500879.1500951

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…So, the application is secure enough because the database server is open for connections only from one computer, namely, the application server Apache Tomcat. The new version of the KAS is implemented using the following technologies: Eclipse 3.2, Apache Tomcat 6.0, PostgreSQL DBMS 8.1.3, JDBC drivers, Hibernate, VLDocking, JGoodies and JGraph [20]. Fig.6.…”

Section: The Fourth Prototypementioning

confidence: 99%

Evolution of the Concept Map Based Adaptive Knowledge Assessment System: Implementation and Evaluation Results

Grundspeņķis¹,

Anohina²

2009

Scientific Journal of Riga Technical University. Computer Sciences

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Evolution of the Concept Map Based Adaptive Knowledge Assessment System: Implementation and Evaluation ResultsThe paper represents the concept map based adaptive knowledge assessment system. Advantages of concept maps are analyzed emphasizing that the approach offers a reasonable balance between requirements to assess higher levels of knowledge according to Bloom's taxonomy and complexity of a system. Concept maps allow revealing of student's knowledge structure, promote system thinking and support process oriented learning where a study course is divided into stages in each of which knowledge assessment is carried out. The developed knowledge assessment system consists from a teacher's, learner's and administrator's modules and is implemented as a multiagent system. Four prototypes of the system developed within four projects are described. The first prototype supports only fill-in-the-map tasks where a learner must put given concepts in correct places. The second prototype provides changing the degree of task difficulty, thus, performing adaptation to a learner's knowledge level. The set of tasks are also extended by construct-the-map tasks. Improvements implemented in the third prototype allow using of directed arcs and standard relationships in concept maps. The three-tier architecture used in the fourth prototype is chosen to rise the security level of the system. Besides that learner's support is considerably expanded giving help and tutoring to a learner. Results of evaluation of the developed system's prototypes in different study courses are presented. The paper concludes with the comparison of all four prototypes using all main characteristics of the developed knowledge assessment system.

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Section: The Fourth Prototypementioning

confidence: 99%

Evolution of the Concept Map Based Adaptive Knowledge Assessment System: Implementation and Evaluation Results

Grundspeņķis¹,

Anohina²

2009

Scientific Journal of Riga Technical University. Computer Sciences

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“…The course instructor organizes curriculum, designs tasks and views assessment results. The student takes published tests or performs tasks [21,22]. The analysis of computer-assisted assessment systems intended both for objective and subjective testing shows that almost each system has its own architecture [23,24].…”

Section: General Architecture Of a Computer-assisted Assessment Systemmentioning

confidence: 99%

“…Student models can be classified according to different factors. The available classifications are summarized in Table 1 [21,36,37]. Table 1 Classifications of student models…”

Section: Use Of the Student Model In Computer-assisted Assessment Sysmentioning

confidence: 99%

Knowledge assessment systems: an overview

Lukashenko¹,

Anohina²

2009

Scientific Journal of Riga Technical University. Computer Sciences

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Knowledge assessment systems: an overviewThe paper gives on overview of computer-assisted assessment systems. The general definition of computer-assisted assessment is provided and the application of objective and subjective testing systems is described. Moreover, advantages and drawbacks related both to computer-assisted assessment in general and to objective and subjective testing systems in particular are identified. The overall architecture of a computer-assisted assessment system in terms of components, their functions and interaction is presented. The necessity to provide intelligent and adaptive support in computer-assisted assessment systems is stated and kinds of the mentioned support in existent systems are described. Special attention is devoted to the student model that is used with the aim to adapt the system to the needs of a specific user. The basic kinds of information stored in the student model and their sources are defined, as well as the available classifications of the student model on the basis of different criteria are summarized. The paper also provides information on intelligent and adaptive support in the concept map based knowledge assessment system that has been developed at Riga Technical University, as well as identifies further development directions of the mentioned system.

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“…Any business needs different types of applications to achieve their specific tasks/transactions [1]. There are different types of application architectures, such as 2tier, which is called as Client/Server, 3-tier Web based, 4-tier/ntier distributed applications [2,3,4,5]. There are different types of web applications, which are Static, Dynamic, and Transaction based.…”

Section: Introductionmentioning

confidence: 99%

Url redirect links and its importance calculated using parallel programming to drastically reduced the execution time

Dande¹,

Narayanan²,

Diwadi³

2018

IJET

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Web URL Redirect Utility validates the URL links and generates the reports with details like number of hops, status and its importance. URL Redirect Utility will help the development team to fix the issue as well do the profiling for the URL links. The Utility will find the performance bottlenecks of the url links with that can improve the performance of each web page. URL redirect Utility designed and developed using dotnet MVC framework with parallel programming approach. Considered test scenario with an 20000 number of URLs which will be validated less than 20 min(1,200,000 msec) by running the utility in parallel which traditionally(sequential) takes more than 28.45 hours (102,420,000 msec ) to complete the execution. Efficiency of the Utility execution is 100% and execution time has reduced to 98 to 99% effort.

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Deciding on the architecture of the concept map based knowledge assessment system

Cited by 5 publications

References 2 publications

Evolution of the Concept Map Based Adaptive Knowledge Assessment System: Implementation and Evaluation Results

Evolution of the Concept Map Based Adaptive Knowledge Assessment System: Implementation and Evaluation Results

Knowledge assessment systems: an overview

Url redirect links and its importance calculated using parallel programming to drastically reduced the execution time

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