
doi: 10.52783/jes.2282
The existence of saturation and limited learning resources are two phenomena seen in learning so far. Interesting learning is that students participate actively, concentrate and enjoy learning. This study aims to determine students' perceptions of interesting learning. The results of this study will be used as the basis for further research. This study applies a survey research method, with a quantitative descriptive approach. This research involved 193 students of the Information Technology Education Department. The data obtained were analyzed quantitatively using percentages This analysis uses indicators derived from front-end analysis from Lee Owen, namely: ) Audience analysis shows that students prefer learning with a visual style, 2) Technology analysis shows that learning using LMS gets the highest proportion and prefers using videos. 3) Critical incident analysis, that combines online and offline learning which is very enjoyable, understanding using structured learning. 4) Media analysis show that all have their own cell phone (100%), have high internet access (95%) and have easy access to the internet around 88%. Thus it means that students want learning to be carried out by combining online and offline learning, learning using visual styles, structured learning.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
