Abstract - An e-learning system provides a platform for communication between educators and students. It facilitates the sharing of information and learning content in a form which can be easily accessed by the users. The scope of the research revolves around the idea that an automated assessment in an e-learning platform would be able to help programming learners understand defects in their program and independently learn how to program. This research would investigate the effects on college or university students. This research analyzes the effectiveness of various ways to learn a programming language. It is believed that automated assessment tools would be able to monitor and improve students’ programming skills over time and reduce the effort for both instructors and students. Keywords – Computing Education, Human Factors, Technology Management, e-Learning I. INTRODUCTION The continuous evolution of software requires educators to update programming training from time to time. It is not a simple task to teach programming, which involves comprehension of newly introduced abstract concepts to map existing problem solving skills learnt from prior school mathematical subjects with logical thinking [1][2]. To learn a programming language, one must able to understand its programming syntax, programming paradigms, and various control structures. Most importantly, the learners need to apply them to design a proven solution to the given problem. Olsson et al. [3] support that programming tools can provide good facilities for application development, to implement the idea needed to solve an identified problem. Much e-learning content in the virtual learning environments merely puts traditional learning content online [4]. This motivates the need to engineer meaningful materials for learning computing to ensure that the materials uploaded to a virtual learning environment is better than their predecessor traditional forms. To improve programming education in school and tertiary study levels, computing education could consider different aspects and approaches. Among the aspects include using the students’ own mother tongue to learn a programming language [2], equipping computing education with video learning objects [5], and helping with program visualization tools [3][4]. Much attention is driven on the approach of semi- or automatic assessment tools [6]-[12]. II. MOTIVATION E-learning has augmented traditional classroom-based teaching with new methods that enhance learning experiences for learners. Teaching programming is not an easy task. Much e-learning content in the virtual learning environments merely puts traditional learning content online. Many research has been carried out on different methods to improve teaching and learning. One of the challenges to be addressed for massive open online courses (MOOCs) in Programming that is designing feedback for students in program grading is difficult; it should help them understand the defects in their program. The tremendous number of submissions in e-learning platforms (such as MOOCs and interactive learning environments) that require feedback justifies the need for automated assessment. This research will try to answer the following research questions (RQs). RQ1) How to help students understand defects in their program? By having students evaluate their own learning progress, they can identify their own skill gaps. Self-assessment is a valuable learning tool that can help in promoting students' own learning and responsibility for their learning [9][13]. With this, we intend to build an experiment that tests the idea of reducing error and marking burden for educators. Correctness and the speed of assessment of the proposed model will be examined. RQ2) How well does the proposed model handle different complexities of task? This is about the process of building up a capital (the most common solutions) from the large number of submission, in order to develop programming skills of students. The model should be able to accomplish the goal of estimating the number frequent submissions (the most common solutions) for different complexities of task (simple, medium and high complexity tasks). RQ3) Would this new model improve students’ achievement in learning programming? We want to build an environment that allows student to iteratively improve and resubmit their work, which should be useful for students to develop programming skills. Usefulness of the feedback will be examined. In recent years, Massive Open Online Courses (MOOCs) integrated with Learning Content Management System (LCMS) allow students from all over the world in different time zones with different schedules join a course. Program grading should be integrated with feedback to students, since this could help them to Engineering Meaningful Computing Education: Programming Learning Experience Model S. B. Ho 1 , S. L. Chean 2 , I. Chai 1 , C. H. Tan 3 1 Faculty of Computing and Informatics, Multimedia University, Selangor, Malaysia 2 Lee Kong Chian Faculty Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia 3 Faculty of Management, Multimedia University, Selangor, Malaysia (sbho@mmu.edu.my) 925 978-1-7281-3804-6/19/$31.00 ©2019 IEEE925