Research Article
Hsin-Ming Hsieh, Alex Maritz
CONT ED TECHNOLOGY, Volume 15, Issue 4, Article No: ep472
ABSTRACT
Flipped instruction has garnered significant interest in higher education for its potential to enhance student motivation and self-regulated learning. This quasi-experimental study examined the impact of flipped teaching on motivation and self-directed learning attributes among 106 entrepreneurship students at universities in Taiwan. Students completed pre- and post-intervention surveys measuring intrinsic motivation, extrinsic motivation, and facets of self-directed learning. Bayesian paired samples t-tests revealed that flipped instruction significantly increased both intrinsic and extrinsic motivation. Self-directed learning attributes including internal processes, behavioral approaches, and environmental preferences also improved following the flipped teaching intervention. Additionally, machine learning models were developed to predict students’ final exam scores based on pre-intervention motivation, self-directed learning, and learning expectations. A linear regression model accounted for 59.1% of variance in exam scores, with pre-learning expectations emerging as the strongest positive predictor. However, pre-intervention intrinsic motivation intriguingly showed a negative relationship with predicted exam performance. Overall, this study provides preliminary evidence that flipped instruction can increase student motivation and self-directed learning capabilities. The predictive modeling also suggests complex interactions between attributes in influencing academic achievement. Further research with larger, more diverse samples is recommended to validate the motivational and self-regulatory benefits of flipped teaching for higher education students.
Keywords: flipped teaching, learning motivation, self-regulated learning, learning expectation
Research Article
Cheng-Jui Tseng, Tzu-Chia Chen
CONT ED TECHNOLOGY, Volume 12, Issue 2, Article No: ep277
ABSTRACT
In response to the impact of the COVID-19 pandemic in 2020, companies around the world have suspended on-site jobs and adopted remote operations. Education and training in some companies are also being carried out through web-based teaching. In addition to bringing new challenges to traditional education and training, web-based teaching platforms also provide a wealth of information sources and application channels for corporate education and training. This study targeted service staff in the service industry as subjects, and incorporated three types of teaching methods into the research design, namely video tutorial, computer-aided teaching and web-based teaching. ANOVA and stepwise regression are then used to analyze the learning motivation, learning attitude and learning performance in an integrated comparison. The results showed that in the service industry, using web-based teaching to conduct employee training for service staff had a substantial impact on improving their learning performance.
Keywords: video tutorial, computer-aided teaching, web-based teaching, learning motivation, learning attitude, learning performance