Research on information construction of university management system app based on cognitive model

Hao Shi-Shi; Dai Qin-Ling

doi:10.54254/2755-2721/21/20231107

Research Article

Open access

Published on 23 October 2023

Download pdf

Shi-Shi,H.;Qin-Ling,D. (2023). Research on information construction of university management system app based on cognitive model. Applied and Computational Engineering,21,1-12.

Export citation

Research on information construction of university management system app based on cognitive model

Hao Shi-Shi ¹, Dai Qin-Ling *^,2,

¹ Southwest Forestry University
² Southwest Forestry University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/21/20231107

Abstract

Based on the results of interviews conducted with university students in a certain university in Yunnan Province, this study identifies the problems of excessive information navigation, complex interface layout, and difficulty in locating the school system within the university management system APP. From the perspective of information architecture, this study designs a cognitive model that is suitable for the university management system APP of a certain university in Yunnan Province. By conducting tracking surveys and interviews with students from different majors, the study utilizes the affinity diagram method to construct a cognitive model for student users, which is further categorized by involving 10 participants. The data obtained after categorization is analyzed using hierarchical cluster analysis, and the information construction of the university management system APP is restructured accordingly. Through experiments, the characteristics and existing problems of the informationization construction of the university management system APP are determined, and the navigation label information of the management system is improved. The cognitive model of the university management system APP is reconstructed, resulting in the development of navigation names and classification methods for information construction that align with the cognitive models of student users. The research findings provide a basis and reference for other university management system APPs.

Keywords

university management system APP, card sorting method, information construction, cognitive model

View pdf

References

[1]. Survey and Reflection on the Current Learning Situation of College Students. (2008). Retrieved from http://bbs.ccnu.com.cn/frame.php

[2]. Hua, K. B. (2022). Transformation and Coping Strategies of Higher Education Management Mode for College Students in the Era of Big Data. Journal of Shanxi University of Finance and Economics, 44(S1), 84-86.

[3]. Mei, Y. (2011). Consistency Research on Mental Models and Information Construction and Its Application in Mobile Internet Software (Doctoral dissertation, Zhejiang University).

[4]. Luo, W. J. (2009). Application of ZMET Technology in the Mental Model of Smartphone Consumers (Doctoral dissertation, Southwest Jiaotong University).

[5]. Zaltman, G., & Coulter, R. H. (1994). Using the Zaltman Metaphor Elicitation Technique to Understand Brand Images. Advances in Consumer Research, 21, 501-507.

[6]. Tong, Q. (2012). Research on Target-oriented Mobile Payment Application Software Design (Doctoral dissertation, Jiangnan University).

[7]. Dou, J. H., Wei, X., & Zhao, X. H. (2009). Research on Product Design Based on User Mental Models. Packaging Engineering, (2), 125-144.

[8]. Zhang, Y. Q. (2012). Research on Mobile Terminal Application Design of Vehicle Ridesharing Service System Based on User Satisfaction (Doctoral dissertation, Zhejiang University of Technology).

[9]. Cheng, D. L. (2009). Research on Symbol Referencing Based on Mental Models in Product Design (Doctoral dissertation, Jiangnan University).

[10]. Zhao, P. W., & Dou, Y. X. (2010). Information Resource Management Technology. Beijing: Science Press.

[11]. Wang, X. Y., & Hu, C. P. (2006). Information Construction Based on User Experience. Information Science, (08), 1235-1238.

[12]. Craik. (1943). The Nature of Explanation. Cambridge: Cambridge University Press.

[13]. Bai, C., Gan, L. R., & Zhu, X. C. (2009). Experimental Study on Decision Mental Model of Information Users. Information Studies: Theory & Application, 32(10), 94-98.

[14]. Zhang, N. N., Liu, X. H., & Yuan, H. (2018). Research on Open Card Classification of Digital Service Design Technology. Packaging Engineering, 39(20), 186-.

[15]. Morville, P., & Rosenfeld, L. (2006). Information Architecture for the World Wide Web. Cambridge: O'Reilly Media.

[16]. Doney, P. M., & Cannon, J. P. (1997). An Examination of the Nature of Trust in Buyer-Seller Relationships. Journal of Marketing, 61(2), 35-51.

[17]. Nielsen, J., & Sano, D. (1994). SunWeb: User Interface Design for Sun Microsystems' Internal Web. In 2nd World Wide Web Conference. Chicago: OSF RI.

[18]. Martin, S. (2013, July 25). Cluster Analysis for Website Organization: Using Cluster Analysis to Help Meet Users' Expectations in Site Structure. Retrieved from http://www.internettg.org/newsletter/dec99/clusteranalysis.html

[19]. Young, I. (2008). Mental Models: Aligning Design Strategy with Human Behavior. Rosenfeld Media.

[20]. Yang, Y., Liu, W., & Zhu, W. (2008). Analysis of Personal Preferences Influencing Buyer's Behavior under the B2C and C2C Mode. ACM, P2-4.

Cite this article

Shi-Shi,H.;Qin-Ling,D. (2023). Research on information construction of university management system app based on cognitive model. Applied and Computational Engineering,21,1-12.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

Conference website: https://2023.confcds.org/

ISBN：978-1-83558-033-2(Print) / 978-1-83558-034-9(Online)

Conference date: 14 July 2023

Editor：Roman Bauer, Alan Wang, Marwan Omar

Series: Applied and Computational Engineering

Volume number: Vol.21

ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).