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Pairwise strategies have tested effectively a range of software and hardware systems. These testing strategies offer solutions that can substitute exhaustive testing. In simple terms, a pairwise testing strategy significantly minimizes large input parameter values (or configuration options) of a system into a smaller set based on pairwise interaction (or combination). Fuzzy Adaptive Teaching Learning-based...
Understanding the behaviour of algorithms is a key element of computer science. However, this learning objective is not always easy to achieve, as the behaviour of some algorithms is complicated or not readily observable, or affected by the values of their input parameters. To assist students in learning the multilevel feedback queue scheduling algorithm (MLFQ), we designed and developed an interactive...
A parallel processing method based on the Flink platform is implemented to meet the requirement of big data processing. Simultaneous improvement of the K-Means algorithm is undergone through adopting kernel density options based on the characteristics of density distribution. This is done to decrease sensitivity of the K-Means algorithm to the K value in data clustering. This improved K-means algorithm...
Data mining is also known as Knowledge Discovery in Database (KDD). It is also defined as the process which includes extracting the interesting, interpretable and useful information from the raw data. There are different sources that generate raw data in very large amount. This is the main reason the applications of data mining are increasing rapidly. This paper reviews data mining techniques and...
This article aims to present a strategy to properly distribute the graduates to complete a fourth year of after-Lyceum apprenticeship in the specialized field of Vocational Education and Training (VET) as it is implemented in Greece. The theoretical solution of the issue is presented, as well as the terms and conditions that should be met in order to create an on-line platform capable of organizing...
Educational Data Mining is a prominent area to explore information in educational fields using data mining algorithms. In this paper we have used few learning algorithms to effectively rate the faculty belonging to an educational institute on the basis of feedback submitted by the students. Our proposed model uses sentimental analysis and machine learning classifier algorithms for capturing the emotions...
With the development of network technology, the design for the automatic generative system of examination papers that is based on web has become a trend. In order to reduce the burden on teachers and avoid duplication of work, we design the system to automatically generate test papers. It is based on a constantly updated examination question bank system, according to the teachers' demands, which can...
This paper designs and implements an automatic evaluation system for experimental reports in the field of university computer virtual experiment. The evaluation type is divided into three types: the only answer type, the rule-related type and the subjective short answer type. For the problems of the subjective short answer, a simple and effective method based on the participle of the standard answer...
Data mining technology is the key technology and core content of big data age. The undergraduate data mining course introduces the basic concepts, basic principles and application techniques of data mining, as well as the characteristics and new technologies of data mining under the background of big data. According to the characteristics of undergraduate students, the curriculum should weaken the...
In order to improve the performance of teaching-learning-based optimization algorithm, a hybrid teaching-learning-based optimization algorithm is presented in this paper. The hybrid approach combine with the strength of harmony search algorithm and teaching-learning-based optimization algorithm, which is aim to enhance the global search ability and local exploitation cababillity. Moreover, A new learning...
This research aimed to apply statistical methods able to survey individuals group into subgroups with similar features on their skills with technology. The sample included the participation of teachers who responded to the online survey of semi-structured survey on the experiences of use and level of knowledge of technological tools to support education. The data collected were organized into tables...
In this work, we propose a variant to the Teaching Learning Based Optimization algorithm by incorporating focused learning of students. A student undergoes focused learning phase only when it is unable to obtain a better solution in the teacher phase and is expected to efficiently utilize the limited functional evaluations. The performance of this variant is evaluated on the single objective bound...
In this article, a modified teaching-learning-based optimization (MTLBO) algorithm is proposed for solving 0–1 knapsack optimization problems. The MTLBO incorporated estimation of distribution operation into teaching phases, which aims at reducing the possibility of premature and predicting an elite teacher. A stochastic local exploitation is used in teaching phase for improving local searching capability...
Nowadays, electronic design automation (EDA) is a regular component of computer engineering (CE) curricula. Several EDA problems can be modeled as constrained optimizations, an area where typical CE students have an insufficient background. This paper advocates the teaching of optimization algorithms as a preliminary phase for teaching graduate-level courses on EDA topics. The emphasis should be on...
The popularity of MOOCs has broken the limitation on time and space in traditional education. It has become an important source of accessing high quality resources and systematic education for the majority of learners. MOOCs has been greatly developed in recent years, followed by the surge in the number of users and courses, which making the learners exposed to a wild variety of courses and difficult...
This paper aims to predict the factors and build prediction models for the persuasive message changing student's attitude by applying classification techniques. We used a questionnaire to collect data such as gender, age and their satisfaction with persuasive messages, obtained from students at Khon Kaen University. The classification rule generation process is based on the decision tree as a classification...
The aim of this article is to describe the design, implementation and evaluation of the educational application to support learning of data mining algorithms. The role of the application is to help students to better understand the algorithms such as Naive Bayes classifier, decision trees and association rules. The application also includes a test area that allows students to generate and solve different...
In order to achieve excellence, it is important for the educational institutions to assess the outcomes of their graduate programmes. In general, the graduate programme outcomes are assessed through direct (examinations, projects, assignments etc) and indirect (co-curricular, extra-curricular, surveys etc) methods. The results through direct assessment are followed up with several actions such as...
This paper is a detailed summary of the work conducted in the novel domain of categorical data analysis of eminent colleges in India by mining Twitter data and uncovering integral traits/events characteristic of these institutes by determining key rules. The information thus collected could be beneficial to the entire academia: it can be utilized by students in making informed decisions about which...
In open and distance education field, making use of data mining technologies to understand students' practical needs and usage habits about professional courses, which will greatly enhance students learning. China Open University system is Chinese largest scale organization engaging in open and distance education, and it has taken Chinese education ministry's a rural education project, called "one...
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