scholarly journals Analysis of Web Based Application for E Learning Analytic Hierarchy Process Based Evaluator

Author(s):  
HANDARU JATI ◽  
MUHAMMAD MUNIR ◽  
TOTOK SUKARDIYONO
2012 ◽  
Vol 8 (3) ◽  
pp. 1-26 ◽  
Author(s):  
Richa Sharma ◽  
Hema Banati ◽  
Punam Bedi

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.


2019 ◽  
Vol 26 (1) ◽  
pp. 486-498 ◽  
Author(s):  
Isabel B de Angst ◽  
Marieke GM Weernink ◽  
Paul JM Kil ◽  
Janine A van Til ◽  
Erik B Cornel ◽  
...  

Current guidelines for the development of decision aids recommend that they have to include a process for helping patients clarify their personal values, for example, by using values clarification methods. In this article, we extensively described the development process of the web-based values clarification method for patients with localized low- to intermediate-risk prostate cancer based on the analytic hierarchy process. With analytic hierarchy process, the relative importance of different attributes of available treatments can be determined through series of pairwise comparisons of potential outcomes. Furthermore, analytic hierarchy process is able to use this information to present respondents with a quantitative overall treatment score and can therefore give actual treatment advice upon patients’ request. The addition of this values clarification method to an existing web-based treatment decision aid for patients with localized prostate cancer is thought to improve the support offered to patients in their decision-making process and their decision quality.


2020 ◽  
Vol 5 (10) ◽  
pp. 1186-1190
Author(s):  
Ana Hadiana

Users in software world play key role in determining whether a software, including e-Learning system, has a long time of use or not. Past literatures have highlighted the importance of incorporating emotional requirement into software systems. It is important to consider what users need related to software. One of the critical component of a software systems that directly interacts with users is the interface. Users interface design (UID) could induce critical emotional experience and impression to users the first time they execute a software system. Kansei Engineering is adopted as a methodology to analyze users emotional experience towards the software UID. This research implemented a combination approach of Kansei Engineering and Analytic Hierarchy Process in order to analyze students’ emotional experience as users of e-Learning in higher learning institution, and then determines which of an open source e-Learning system that suits their positive emotional experience. This paper reports an attempt to discover the relationship between UID and users’ emotional experience in e-Learning systems. The research found that there were two critical students’ emotional factors, which are “clear” and “pleasant”. These two factors had a big impact in the selection of an e-Learning system, with factor of clear has larger impact. The research result then suggests the preferred e-Learning system for students based on those that evoked positive emotional experience to students. The result will benefit higher learning institution in promoting e-Learning, to extend the outreach potential of e-Learning among students.


2010 ◽  
Vol 102-104 ◽  
pp. 905-909
Author(s):  
Fu Qian Shi ◽  
Jian Feng Wu ◽  
Xiao Dong He ◽  
Hai Ning Wang ◽  
Shou Qian Sun

Due to the uncertainness and fuzziness of image evaluation on product form, many fuzzy multi-criteria decision making approaches are applied in this fields. Fuzzy linguistic is usually used by expert to evaluate the importance of the criteria and to rate the alternatives; hence, we integrating fuzzy linguistic based analytic hierarchy process methodology to image evaluation of product form. Trapezoidal fuzzy number and 11-scale linguistic variables were applied in this model. The proposed approach started by a web-based image evaluation system, and then target products were extracted and divided in many design characteristics. Fuzzy linguistic based AHP was applied to generate the critical forms that ordered by vary image adjectives. A case study of mobile phone design was demonstrated the effectiveness.


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