The effects of the superstar learning system on learning interest, attitudes, and academic achievements

What Contributes to Student Language Learning Satisfaction and Achievement with Learning Management Systems?

Learning management systems (LMSs) have received substantial global attention and have undergone extensive research, with most discussions focusing on users' acceptance and continuation of LMS use in the higher education sector. However, research is scarce in terms of identifying the factors that are advantageous to K-12 students' learning and satisfaction when using LMSs for language learning. This study aims to examine the impacts of internal and contextual factors on secondary students' learning satisfaction and English achievement when using LMSs. Data were collected from 289 students through an online survey. The results of the structural equation modeling showed that satisfaction had the most significant impact on English achievement. Furthermore, both internal and contextual factors, including technology self-efficacy, interest, task value, teacher support, and technology facilitation, positively impacted learning satisfaction with LMSs. In addition, teacher support exerted the strongest impact on satisfaction, followed by interest and technology self-efficacy. However, only internal factors, such as interest and task value, were positively associated with English achievement. Neither teacher support nor technology facilitation significantly impacted English performance. Given the increasing availability of LMS usage, the findings of this study can facilitate the more effective implementation of LMSs in China and globally. The study contributes to the theory and practice of LMSs use in K-12 English education. The limitations and implications of the study were discussed as well.

A Meta-Analysis of Facebook-Assisted Learning Outcomes in Different Countries or Regions

In this special pandemic time, many learners have been forced to stay at home receiving education through mobile learning applications and social media such as Facebook. It is thus meaningful to meta-analytically review the studies on Facebook-assisted learning outcomes in different countries or regions to provide constructive suggestions for improvements on mobile learning. Through a meta-analysis using Stata 14.0, this study concludes that the Facebook-assisted learning approach may improve learning interaction, learning performance, social presence, engagement, psycho-motor, and overall skills in different countries or regions, although there are still different results and even controversial issues. The controversies lie in different findings in Taiwan, Switzerland, and UK, where no significant results are revealed regarding the use of Facebook for educational purposes. Future research could examine the construction of a sustainable online learning model, the classic theory, gender differences, and other mobile applications.