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It is widely acknowledged that the value of a house is the mixture of a large number of characteristics. House price prediction thus presents a unique set of challenges in practice. While a large body of works are dedicated to this task, their performance and applications have been limited by the shortage of long time span of transaction data, the absence of real-world settings and the insufficiency...
While several benefits of using models in software engineering have been observed in practice, the adoption of modeling remains low. Multiple challenges of using models, especially related to tools, have been reported both for industrial use and for education. However, there is a lack of systematic, empirical investigations of the challenges in modeling education and their relation to industrial challenges...
A global push to pursue careers in engineering has led to an increase in enrollment in engineering programs. However, rising student populations have led institutions to make compromises in order to effectively manage existing resources and rising costs, such as resorting to large classes despite evidence that they may be detrimental to student learning. Recognizing that large classes are both a necessity...
This article presents a survey of the factors that indicate evasion in distance education, as well as the data mining techniques that are being used in the detection of evasion. As a methodology, we have used the systematic review, analyzing the works published in the last five years. The result indicated that there are multiple factors that influence evasion, which were systematized in four dimensions,...
In this paper, we design a five-sided educational data mining framework (5S-EDMF) to analyze college students' diligence and effectiveness of study, and to recommend learning resource accordingly. We noticed data collected from students' E-learning activities to reveal a lot about the attitudes and behaviors of students online as well as offline. This provides us an additional valuable tool to access...
The selection of an appropriate sequence of activities is an essential task to keep student motivation and foster engagement. Usually, decisions in this respect are made by taking into account the difficulty of the activities, in relation to the student's level of competence. In this paper, we present a dynamic model that aims to predict the average performance of a group of students at solving a...
In this paper, we propose a classification model for learning state based on individual biometric data. In particular, we use the pupil size as a biometric data and the data has been collected from 72 participants. We also deploy the support vector machine (SVM) in conjunction with k-fold validation as an analysis tool. In order to improve the performance of the SVM, the we remove outliers from the...
The purpose of establishing buffer operators is to improve the smooth degree, then increase the simulation accuracy of the model. This paper probed into modeling mechanism of several typical buffer operators such as the arithmetic buffer operators, the buffer operators with monotonic function and weighted buffer operators. The results indicates that after infinite buffer operators, no matter we adopt...
In Indonesia, AK/I card was a mandatory requirement to be owned by job seekers as a proof of identity, but the card functionality ends when the job searching process is completed and returned by the employing company to local Department of Labor. To the date this study being conducted, there was no continuity of AK/I card function relating to track record management of labor such as curriculum vitae,...
This paper proposes a combination of data mining and natural language processing technology, try to analyze students' learning behavior and content in MOOCs interactive part, to dig their learning interest, difficulty, tendencies, to evaluate their homework effect, through the interaction between teachers and students, students posting, homework or answer content, preventing of cheating behavior,...
To study the mechanism of kindergarten teachers information technology use behavior, this article based on the task characters of early childhood teachers, constructed the kindergarten teachers' information technology use behavior model. With 385 kindergarten teachers as the research object, using self-made questionnaire to survey. the results show that: (1) the individual factors through the perceived...
This paper deals with the simulation and analysis of large-scale migrations by proposing an improved version of Agent-Based Social Simulation model. The model includes hierarchical layers that reflects regional quality. We extract migrant samples from the PUMS database using logistic regression, and use random forest as the core algorithm to find linear solutions for the relationships among several...
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...
Digital Logic course and Computer Composition Principle course are important professional basic courses of computer major. In the traditional teaching mode, the experiments of these two hardware courses are mainly implemented to validate the theoretical knowledge by plugging wires in different experiment boxes, which leads to a lack of computer system design and development capability of computer...
The quality of distance learning courses is determined by the proper organization of the teaching material and methodology. However, it should be taken into account, among other factors, the history of successes and failures of previous achievements of a course, as well as the profile of the new classes of students. This work proposes a data visualization model based on the Learning Analytics of a...
Web-based learning environments such as the Go-Lab portal facilitate the structuring and scaffolding of inquiry processes and enable learners to create various types of knowledge artefacts (texts, concept maps, hypotheses). In this context, we have introduced semantic technologies to extract key concepts from heterogeneous learner-generated artefacts. Based on this approach, we propose an algorithm...
Divergent and convergent (D&C) thinking skills are important in solving software design problems. Divergent thinking involves processes like understanding the problem from multiple perspectives and generating multiple solutions to a problem. While, convergent thinking is evaluating and selecting the solution based on the criteria and constraints. These skills are important in software design process...
The inclusion of information and communication technologies in Healthcare and Medical Education is a fact nowadays. Furthermore numerous virtual learning environments have been established in order to host both educational material and learners online activities. Online modules in a VLE can be designed in very different ways being part of different types of courses, while different models can be used...
Curriculum design and implementation in higher medical education can be a great challenge. Although there are well-defined standards, such as the Curriculum Inventory and Competency Framework by MedBiquitous Consortium, existing systems are incapable of a visual representation of the various components, attributes, and relations. In this paper, we present the MEDCIN platform, a pilot tool which uses...
Educational applications have become more and more popular, making a profound influence on education and teaching. In the "Internet+" era, it is a problem on how to design and choose a high quality and effective educational APP. Based on the Education Technology Developers Guide, 2016 annual online education user white paper and related scholars on the educational APP research, in this paper,...
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