Active Learning Activity Design For Promoting Content Writing Skills In Video Microlearning Media

Abstract

The objectives of this research are as follows: 1. To design active learning management in order to promote content writing skills in micro-learning media 2. To assess content writing skills in video micro-learning media by the research target group via quota selection according to the condition set for 40 people. This research is a Pre-Experimental Design with one-study group and one-shot case study model. The research tools consist of the following results: 1. Expert interview with 1.00 consistency index. 2. Plan for designing active learning activities to promote content writing skills in media micro-learning at level 5 achievement, the results of which are consistent, linked, and most appropriate. 3. Micro-learning media production evaluation form created according to research protocols with a 5-level score, which is the most appropriate level. The statistical methodologies used in the research are frequency, percentage, mean and standard deviation, one sample t-test. 

The results of the research were found as follows: 1.The results of design active learning management by interviews with qualified persons were summed up in a hierarchical manner. They were organized according to the 3P video media creation principles and then used to create active learning plan to promote content writing skills in video media micro-learning that helps promote learning and makes the participants more understanding. After the active learning activities were organized, the participants were able to create video micro-learning media higher than expectation. 2. The assessment of content writing skills in video micro-learning media indicated that the participants have increased their content writing skills since after considering the analysis results of content writing skills in video micro-learning media with a total score of 60, it was found that the 32 out of 40 participants submitted their works on creating micro-learning video media at the stipulated timeframe. The 32 out of 40 people, who can submit works within the stipulated timeframe indicated 47.59 mean scores at 6.36 standard deviation.  When compared with the 75 percent criteria, it was found that the mean score was statistically significantly higher than the .05 level.