scholarly journals Modeling User Psychological Experience and Case Study in Online E-learning

2015 ◽  
Vol 10 (6) ◽  
pp. 53 ◽  
Author(s):  
Xiyuan Wu ◽  
Min Liu ◽  
Qinghua Zheng ◽  
Yunqiang Zhang ◽  
Haifei Li
Keyword(s):  
User Experience ◽  
Subjective Experience ◽  
Analytic Hierarchy ◽  
Psychological Experience ◽  
E Learning ◽  
User Psychological ◽  
Hierarchy Process ◽  
Interview Questionnaire

In the post WWW era, the research of e-learning focuses on facilitating intelligent and proactive services for learners. The quality of user experience determines whether e-learning services would be accepted by learners. However, many researchers traditionally focus on the effectiveness of computer systems or the accuracy of algorithms themselves rather than on user-centric psychological experience. How to model and evaluate user experience taking into account user psychological and cognitive properties are challenging research topics. There are some traditional methods typically proposed to evaluate users’ psychological experience, such as interview, questionnaire etc. They are qualitative and easy to conduct but need more time and resource. And they are liable to subjective views. Based on user web log data, the current paper presents a quantitative approach of modeling user psychological experience in the context of intelligent e-learning. The properties and elements, which affect user experience, are analyzed and quantified. The holistic user experience is quantified through the fusion of analytic hierarchy process (AHP) and Delphi methods. A case study, at a university in China, is conducted for diagnosing whether the result of the proposed approach can be uniform with user subjective experience, and indicates that the proposed approach is effective and complements existing user experience research in intelligent e-learning.

Building Socially-Aware E-Learning Systems Through Knowledge Management

2012 ◽  
Vol 8 (3) ◽  
pp. 1-26 ◽  
Author(s):  
Richa Sharma ◽  
Hema Banati ◽  
Punam Bedi
Keyword(s):  
Knowledge Management ◽  
Social Context ◽  
Analytic Hierarchy Process ◽  
Programming Languages ◽  
Learning Organizations ◽  
Learning Systems ◽  
Analytic Hierarchy ◽  
E Learning ◽  
Hierarchy Process

Conformance to social context while designing an e-learning course is crucial in enhancing acceptability of the course. Building socially aware e-learning courses requires elicitation of social opinion from various stakeholders associated with the system. Stakeholders are disparate in their perception towards the intricacies of the system, leading to generation of numerous assorted ideas. Knowledge Management (KM) assimilates these ideas to bring congruency into the system. This paper proposes i) a model KMeLS (Knowledge Management in e-Learning Systems) built upon the SECI (Socialization, Externalization, Combination and Internalization) framework, and ii) an algorithm PARSeL (Prioritizing Alternatives using Recommendations of Stakeholders in e-Learning) to incorporate KM into designing an e-learning course. PARSeL prioritizes the content using stakeholder recommendations using Analytic Hierarchy Process (AHP) and fuzzy modeling. A case study is also presented with a goal of prioritizing a set of programming languages for an online computing course. The proposed methodology can be promising in recommending appropriate content for the e-learners and can be implemented to benefit e-learning organizations in a wider spectrum.

scholarly journals System Change Controls: A Prioritization Approach Using Analytic Hierarchy Process

2019 ◽  
pp. 34-46
Author(s):  
Angel R. Otero
Keyword(s):  
Analytic Hierarchy Process ◽  
System Change ◽  
General Information ◽  
Sensitive Information ◽  
Analytic Hierarchy ◽  
Traditional Assessment ◽  
Management Controls ◽  
Hierarchy Process

Information attacks are a constant threat to every organization. To protect their sensitive information, organizations implement general information technology controls. An example of such controls includes system change controls (or change management controls), which are critical in ensuring the integrity, completeness, and reliability of financial information. The literature points to various evaluation methods of these controls to determine which ones to implement. The literature further shows how traditional assessment methods do not necessarily promote an effective evaluation, prioritization, and, therefore, implementation of system change controls in organizations. Alarming facts within the literature trigger analyses and identification of additional methods to assist organizations in protecting their sensitive and critical information. This research proposes a quantitative approach to assist management in evaluating system change controls using the Analytic Hierarchy Process. Through a case study, the approach is proven successful in providing a way for measuring the quality of system change controls in organizations.

TEST ADEQUACY MEASUREMENT USING A COMBINATION OF CRITERIA

2000 ◽  
Vol 07 (03) ◽  
pp. 191-203
Author(s):  
BYOUNGJU CHOI
Keyword(s):  
Precise Measurement ◽  
Analytic Hierarchy ◽  
Test Criteria ◽  
Numerous Test ◽  
Test Sets ◽  
Adequacy Criterion ◽  
Hierarchy Process ◽  
Test Adequacy

The traditional method of assessing software quality is through software testing. In the past two decades, numerous test criteria have been proposed. Although the generation and evaluation of a test set is important, the ultimate goal is to ensure the quality of the software under test. It is risky to validate software by using test sets with respect to an arbitrarily selected test adequacy criterion as it can lead to incorrect conclusions on the quality of the software. In this paper we examine how different test criteria can be combined into one measurement to assess the adequacy of test sets. Based on the subsumption relation between these criteria, a multi-criterion decision making method, Analytic Hierarchy Process (AHP), is used to determine the weight of each test adequacy criterion. A case study reported here suggests that the combined criterion so generated provides a more objective and precise measurement of the fault detection capability of test sets than does a single-member test criterion.

scholarly journals Determining Criteria and Their Weights for Evaluating the Capability of Gen-Z Human Resources Meeting Japanese Labour Market Expectations- A Case Study in Binh Dinh

2021 ◽  
Vol 04 (04) ◽  
Author(s):  
Chuong M. Tran ◽  
Keyword(s):  
Foreign Language ◽  
Human Resources ◽  
Computer Literacy ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Learning Skills ◽  
Problem Solving Skills ◽  
Hierarchy Process

The objective of this study is to determine the criteria and their weights for evaluate the quality of gen-z human resources in Binh Dinh province and their capability of satisfying the requirements of working in Japan and/or working for Japanese enterprises located in the province, using the expert method and the Analytic Hierarchy Process (AHP) method. The results showed that the satisfying capability of human resources should be evaluated under 12 criteria: Physical health, Life skills, Occupational competence, Education attainment, Foreign language literacy, Computer literacy, Self-discipline and self-organization, Work attitude, Problem-solving skills, Independent working skills, Teamwork skills, and Learning skills.

A Novel Hybrid Fuzzy AHP-GA Method for Test Sheet Question Selection

2020 ◽  
Vol 19 (02) ◽  
pp. 629-647 ◽  
Author(s):  
Murat İnce ◽  
Tuncay Yiğit ◽  
Ali Hakan Işik
Keyword(s):  
Fuzzy Ahp ◽  
Evaluation Process ◽  
Difficult Problem ◽  
Analytic Hierarchy ◽  
Web Based ◽  
Test Sheet ◽  
E Learning ◽  
Hierarchy Process ◽  
Selection Of

The use of web-based education and e-learning environments has increased with the developments in educational technology. Schools, universities, public institutions, and other private sector companies started deploying these systems to train their students, members, and employees. Exams are carried out during the evaluation process of these trainings. Web-based tests are sometimes used for these exams. When there are so many questions about the same topic, it is a time-consuming and difficult problem to prepare these exams in terms of the best quality, quickly and effectively. In order to overcome this issue, artificial intelligence techniques are utilized as well as conventional methods for producing test papers. In this study, an Intelligent Question Evaluation and Selection Software (I-QUESS), that enables the selection of questions according to desired preferences by using Fuzzy Analytic Hierarchy Process (FAHP) and genetic algorithm (GA) as hybrid, was developed. This proposed hybrid system was used in a case study to create test sheet for web-based environments.

scholarly journals Modelling the Accommodation Preferences of Tourists by Combining Fuzzy-AHP and GIS Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ali Mahdi ◽  
Domokos Esztergár-Kiss
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Security Level ◽  
Analytic Hierarchy ◽  
Gis Methods ◽  
The Cost ◽  
Hierarchy Process ◽  
Combined Technique

Finding the place of accommodation is one of the most crucial issues during a journey. This study aims to support the decision-making of tourists for choosing the optimal accommodation by combining fuzzy analytic hierarchy process (FAHP) and geographic information system (GIS) techniques. The adopted criteria are the cost per room, the distance from the center, the level of security, the place rating, and the availability of free cancellation and breakfast. Due to some uncertainty and diversity of criteria, the FAHP approach is applied to consolidate tourists’ decisions by applying criteria weighting, while the GIS is used to overlay the weighted criteria and to visualize the ranked places of accommodation on a map. The combined technique is applied on a case study in Budapest City, where the analysis is conducted on 364 places of accommodation. The results show that half of the places are recommended for tourists, and more than fifth of the accommodations are highly recommended. Furthermore, it can be concluded that the cost per room was the highest influential criterion with 0.233 importance weight, followed by the security level with 0.205. The lowest factor affecting the choice of accommodation was the free cancellation service. It was demonstrated that the rating weight importance was 0.182, while the breakfast and the distance from the center had approximately the same importance. As a recommendation, some improvements on the accommodation, such as decreasing the cost per room, enhancing the services, or developing the quality of the places, would increase their attractiveness for tourists.

scholarly journals Analysis of Internal Risk Management in Indonesian Seaweed Farming

2018 ◽  
Vol 7 (4.15) ◽  
pp. 200
Author(s):  
Harifuddin Thahir ◽  
Elimawaty Rombe ◽  
Ponisri . ◽  
Gatha Vesakha ◽  
Suryadi Hadi
Keyword(s):  
Risk Management ◽  
Secondary Data ◽  
Primary Data ◽  
Questionnaire Data ◽  
Analytic Hierarchy ◽  
Seaweed Farming ◽  
Hierarchy Process ◽  
Seaweed Industry

This study aims to identify the internal risk management and acknowledge the highest and the lowest risk that have significant impact on seaweed farming in Indonesia. The case study is used in Morowali-the central seaweed farming in Indonesia. The data obtained from primary data and secondary data and used a census through interview and questionnaire. Data analysis apply analytic hierarchy process (AHP) to determine the weight of each criterion and sub criteria. The results show that the internal risks of seaweed operation by Indonesian farmers include the quality of seeds, technology, human resources, capital and cost management. The study found that the highest internal risk of seaweed operation on the farmers level is technology. This study provides insight and information to the seaweed farmers and manager of seaweed industry about the typical of internal risks in the farmers level.  

scholarly journals Determination of Environmental Factors for the Implementation of the Exploitability Index in Industrial Aggregate Mining Using Multi-Criteria Analysis

2021 ◽  
Vol 10 (4) ◽  
pp. 196
Author(s):  
Julio Manuel de Luis-Ruiz ◽  
Benito Ramiro Salas-Menocal ◽  
Gema Fernández-Maroto ◽  
Rubén Pérez-Álvarez ◽  
Raúl Pereda-García
Keyword(s):  
Environmental Factors ◽  
Environmental Factor ◽  
Human Life ◽  
Accurate Estimation ◽  
Analytic Hierarchy ◽  
Main Components ◽  
Hierarchy Process ◽  
Made In

The quality of human life is linked to the exploitation of mining resources. The Exploitability Index (EI) assesses the actual possibilities to enable a mine according to several factors. The environment is one of the most constraining ones, but its analysis is made in a shallow way. This research is focused on its determination, according to a new preliminary methodology that sets the main components of the environmental impact related to the development of an exploitation of industrial minerals and its weighting according to the Analytic Hierarchy Process (AHP). It is applied to the case of the ophitic outcrops in Cantabria (Spain). Twelve components are proposed and weighted with the AHP and an algorithm that allows for assigning a normalized value for the environmental factor to each deposit. Geographic Information Systems (GISs) are applied, allowing us to map a large number of components of the environmental factors. This provides a much more accurate estimation of the environmental factor, with respect to reality, and improves the traditional methodology in a substantial way. It can be established as a methodology for mining spaces planning, but it is suitable for other contexts, and it raises developing the environmental analysis before selecting the outcrop to be exploited.

Sign in / Sign up

Export Citation Format

Share Document