Due to the evident importance of e-learning in education, the number of e-courses and systems delivering various services has exploded. Thus, evaluating e-learning systems is critical to ensuring their successful delivery, practical use, and beneficial effects on learners. Therefore, this study aims to evaluate the success of learning management systems using the modified DeLone and McLean model. A survey involving 239 in-service vocational teachers evaluated the research model. Statistical analysis was used to examine the hypotheses, specifically linear regression analysis. The results of the nine proposed hypotheses indicate that two had an insignificant relationship: information quality on user satisfaction (H5) and system quality on use (H7). The finding shows that the proposed model may give an alternative point of view to the LMS evaluation.

This study aims to propose an evaluation of Indonesian online learning system which known as SPADA. This system accommodate an online learning for teacher profession education program which known as PPG. The system evaluation is using unified theory of acceptance and use of technology 2 (UTAUT2) model with a few adjustments. This study provide an information such as required variables to evaluate the system and research design on SPADA. The proposed evaluation model using seven main constructs of UTAUT 2.0 and its influence on behavioral intention and use behavior. The data obtained from several questionnaires related to the variable and analyzed with path analysis technique. Moreover, this proposed study is expected can be as reference to conduct a similar study related to the system evaluation.

Computational methods have been used extensively to solve problems in the education sector. This paper aims to explore the computational method's recent implementation in solving global Vocational education and training (VET) problems. The study used a systematic literature review to answer specific research questions by identifying, assessing, and interpreting all available research shreds of evidence. The result shows that researchers use the computational method to predict various cases in VET. The most popular methods are ANN and Naïve Bayes. It has significant potential to develop because VET has a very complex problem of (a) curriculum, (b) apprenticeship, (c) matching labor market, and (d) attracting enrollment. In the future, academics may have broad overviews of the use of the computational method in VET. A computer scientist may use this study to find more efficient and intelligent solutions for VET issues.