Published March 5, 2022 | Version 0
Journal article Open

A USER ACCEPTANCE FRAMEWORK FOR THE ONLINE TEACHING EFFICIENCY RATING SYSTEM OF MINDANAO STATE UNIVERSITY-ILIGAN INSTITUTE OF TECHNOLOGY

Authors/Creators

  • 1. Computer Studies Department Mindanao State University – Marawi, Marawi City.
  • 2. Studies Department Mindanao State University – Iligan Institute of Technology Iligan City, Philippines

Description

The researchers in the field of Information Technology and Information systems are of interest in understanding the factors in user acceptance of new technology. Unified Theory of Acceptance and Use of Technology (UTAUT) is one of the prominent models used in determining the factors of the user acceptance of technology.

In this research, the four constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) were used namely: Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), and associating the user satisfaction to the four constructs of the UTAUT. The survey was used for this inquiry. For data analysis Cronbachs’s Alpha was used to check the reliability of the instrument, weighted mean was applied to determine the level of the user satisfaction, the Correlation Coefficient technique was utilized to predict UTAUT factors and Somer’s delta was used to determine the strength of PE, EE, SI and FC to S. The outcome of this research is the user acceptance framework for the Online Teacher Efficiency Rating of Mindanao State University- Iligan Institute of Technology (MSU-IIT), Iligan City, Philippines. The computed t-test and its associated p–values presented suggest that the independent variables such as PE, EE, and FC are statistically significant. Hence, the three constructs affect user satisfaction.

Notes

1. INTRODUCTION The practice of collecting student ratings of teaching has been widely adopted by universities. When incorporating online methods, online teacher evaluations bring the advantage of saving time and resources over Traditional paper and pencil method. However, the success of new technology introductions cannot be achieved if the users do not accept and use the technology. Problems might be encountered during integrating a new piece of software into the organization's operational pattern even how many functional tests are performed because of the "mystery factor". For a successful implementation of any application, user acceptance is highly essential. User acceptance is defined as the demonstrable willingness within a user group to employ information technology for the tasks it is designed to support. Lack of user acceptance is a significant obstacle to the success of new information systems. In fact, users are often unwilling to use information systems that, if used, would result in impressive performance gains. Therefore, user acceptance has been viewed as the pivotal factor in determining the success or failure of any information system project (Davis, 1993). The continuing quest to ensure user acceptance of technology is an ongoing management challenge and one that has occupied Information System (IS) or Information Technology (IT) researchers to such an extent that technology adoption and diffusion research are now considered to be among the more mature areas of exploration [10]. One of the most prominent models in user acceptance is the Unified Theory of Acceptance and Use of Technology (UTAUT). One of the goals of every academic institution is to automate every manual process. In the case of Mindanao State University-Iligan Institute of Technology, most of its processes are already automated. However, the Teaching Efficiency Rating (TER) system in Mindanao State University – Iligan Institute MSU-IIT is still carried out manually every semester. As a result, there will be miscalculation of evaluation results, tedious and time-consuming tabulation, high consumption of paper and storage, delay in submitting of evaluation of results to faculty and students have limited time in filling up the evaluation [1]. Thus, MSU-IIT is aiming for an online TER system. In fact, there were already three attempts in migrating it online and all of these three attempts failed. Those problems seem to suggest that implementation of the Online TER still some have obstacles. Thereby, there is a need for research to understand the factors that influence the adoption and acceptance of Online TER in MSU-IIT in order to formulate strategies that will guarantee effective adoption and implementation of Online TER. Thus this research uses the developed TER system of [1] for testing and proposes a technology acceptance framework for the online teacher evaluation based on the result of the testing. The researcher conducted tests using Performance Expectancy, effort expectancy (EE), Social Influence, and Facilitating Conditions from UTAUT and seek to integrate the User Satisfaction as the dependent variable.

Files

NV V05I02.2.pdf

Files (679.8 kB)

Name Size Download all
md5:2ef7353b007f4e776c5927dec2ab8e76
679.8 kB Preview Download

Additional details

Related works

Is published in
2640-7272 (ISSN)

References

  • Abamonga, M. M., Lustado, F., & Mejias, R. (2014). Hybrid Teaching Evaluation System for the School of Computer Studies. Iligan City.
  • Dillon, A. (2001). User Acceptance of Information Technology. https://www.researchgate.net/publication/279683883, 3.
  • Huang, K.-Y., Choi , N., & Chengalur-Smith, I. (2010). Cultural Dimensions as Moderators of the UTAUT Model: a Research Proposal in a Healthcare Context . Proceedings of the Sixteenth Americas Conference on Proceeding on Information Systems ,
  • Manchanda, A. (n.a). A Review of Information System Success Models. International Journal of Innovative Research in Technology & Science(IJIRTS), 1-2.
  • Muhammad Arif, K. A. (2017). Factors affecting student use of Web basedd . 11.
  • Trybou, J. (2017). Performance Expectancy, Effort Expectancy And Social Influence As Factors Predicting The Acceptance Of (Non-) Fluoroscopy-Guided Positioning For Radiographs, And The Relationship With Leadership. Academiejaar, 10.
  • Venkatesh, V. (May 2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal Association for Information Technology, 5.
  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer Acceptance And Use Of I Nformation T Echnology : E Xtending The Unified Theory Of Acceptance And Use Of Technology. Mis Quarterly, 59.
  • Wibowo, T. (2017). Study of User Acceptance and Satisfaction of a Mandatory Government-Regulated Information System. CommIT (Communication & Information Technology) Journal, 41-43.
  • Williams, M. D. (2015). The Unified Theory of Acceptance and Use of Technology: A Literature Review. Journal of Enterprise Information Management, 3.
  • van den Dool, H. M., S. Saha, and ˚A. Johansson, 2000: Empirical orthogonal teleconnections. J. Climate, 13: 1421–1435.