Treffer: Digital course design and development based on the ADDIE model with an employment orientation: Case study of Java Programming Technology.
Weitere Informationen
In a rapidly digitalizing world, the design and development of educational courses must evolve to meet the changing demands of learners and employers. This paper examines the integration of the ADDIE model — Analysis, Design, Development, Implementation, and Evaluation—into the digital course design process, with a particular focus on employment orientation. Utilizing the "Java Programming Technology" course as a case study, this research was conducted with two groups of 68 students from the IT College of Luoyang University of Technology, comprising an experimental group and a control group. Through a detailed analysis of student needs and employment-oriented goals, job-related knowledge was systematically deconstructed and incorporated into a digital project handbook. The effectiveness of the instructional approach was evaluated through T-tests and surveys. The results revealed statistically significant differences in post-test performance between the experimental and control groups, with the experimental group demonstrating notably superior outcomes. Specifically, 38% of students in the experimental group scored within the high-score range (90-100%), compared to just 6% in the control group. Moreover, the proportion of high-scoring students (90-100%) in the experimental group increased from 12% pre-intervention to 38% post-intervention, reflecting a 26 percentage point improvement. Survey feedback from the experimental group indicated positive learning experiences across four key dimensions: interest in the course, satisfaction with the instructional model, learning habits, and mastery of course content. This study contributes to the existing literature on instructional design in the digital era and offers valuable insights for educators, instructional designers, and policymakers striving to align educational outcomes with employment needs. [ABSTRACT FROM AUTHOR]
Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)