An experimental study of online chatting and notetaking techniques on college students’ cognitive learning from a lecture

2014 ◽  
Vol 34 ◽  
pp. 148-156 ◽  
Author(s):  
Fang-Yi Flora Wei ◽  
Y. Ken Wang ◽  
Warren Fass
2020 ◽  
Vol 9 (2) ◽  
pp. 57-69
Author(s):  
Onna Brewer ◽  
Orhan Erdem

Present bias—difficulty resisting instant gratification over a future and larger reward (also called delay discounting)—has been associated with various suboptimal behaviors and health outcomes. Several methods have been proposed to produce reductions in this bias and promote self-control. In this randomized experimental study of 137 undergraduate college students, the authors examined the effect of a 10-minute values clarification writing exercise on present bias in a monetary decision-making task compared with a neutral writing activity. While participants in the values clarification condition showed less present-biased behavior, this finding was not statistically significant at the .05 level. Thus, they place emphasis on implications for future research and practice with the aims of reducing present bias and building better communities.


2019 ◽  
Vol 58 (4) ◽  
pp. 791-817 ◽  
Author(s):  
Yinghui Shi ◽  
Huiyun Yang ◽  
Jason MacLeod ◽  
Jingman Zhang ◽  
Harrison Hao Yang

Technology-enabled active learning environments (TE-ALEs) have attracted considerable research interest, particularly in higher education. However, research shows inconsistent results describing the influence of TE-ALEs toward students’ cognitive learning outcomes. This study was designed to identify high-quality empirical research examining college students’ cognitive learning outcomes and to utilize meta-analysis to determine the overall effectiveness of TE-ALEs. A systematic literature search identified 31 high-quality peer-reviewed journal articles that met the inclusion criteria. Meta-analysis showed that the calculated effect size of TE-ALEs more positively influenced students’ cognitive learning than traditional lecture-based environments. Moderator variable analysis suggested that social context, study design, and sample size were significant factors that influence the effectiveness of TE-ALE. TE-ALEs were found more effective when instructors employed individualized learning contexts as well as when bias was reduced in randomized controlled trials. TE-ALEs were also found to be more effective in small courses rather than in large courses.


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