Rosen Larry D, Carrier L Mark, Pedroza Jonathan A, Elias Stephanie, O'Brien Kaitlin M, Lozano Joshua, Kim Karina, Cheever Nancy A, Bentley Jonathan, Ruiz Abraham
California State University, Dominguez Hills, USA.
Psicol Educ (Madr). 2018;24(1):14-25. doi: 10.5093/psed2018a3. Epub 2017 May 25.
This study investigated how technology use impacts academic performance. A proposed model postulated that academic performance could be predicted by a cognitive independent variable-executive functioning problems-and an affective independent variable-technological anxiety or FOMO (fear of missing out)-mediated by how students choose to use technology. An unobtrusive smartphone application called "Instant Quantified Self" monitored daily smartphone un-locks and daily minutes of use. Other mediators included self-reported smartphone use, self-observed studying attention, self-reported multitasking preference, and a classroom digital metacognition tool that assessed the student's ability to understand the ramifications of technology use in the classroom that is not relevant to the learning process. Two hundred sixteen participants collected an average of 56 days of "Instant" application data, demonstrating that their smartphone was unlocked more than 60 times a day for three to four minutes each time for a total of 220 daily minutes of use. Results indicated that executive functioning problems predicted academic course performance mediated by studying attention and a single classroom digital metacognition subscale concerning availability of strategies of when to use mobile phones during lectures. FOMO predicted performance directly as well as mediated by a second classroom digital metacognition concerning attitudes toward mobile phone use during lectures. Implications for college students and professors include increasing metacognition about technology use in the classroom and taking "tech breaks" to reduce technology anxiety.
本研究调查了技术使用如何影响学业成绩。一个提出的模型假设,学业成绩可以由一个认知自变量——执行功能问题,以及一个情感自变量——技术焦虑或错失恐惧症(FOMO)来预测,这两个自变量通过学生选择使用技术的方式来介导。一个名为“即时量化自我”的不引人注意的智能手机应用程序监测每日智能手机解锁情况和每日使用时长。其他中介变量包括自我报告的智能手机使用情况、自我观察到的学习注意力、自我报告的多任务偏好,以及一种课堂数字元认知工具,该工具评估学生理解课堂上与学习过程无关的技术使用后果的能力。216名参与者收集了平均56天的“即时”应用程序数据,表明他们的智能手机每天解锁超过60次,每次解锁三到四分钟,每天总共使用220分钟。结果表明,执行功能问题通过学习注意力和一个关于讲座期间何时使用手机策略可用性的课堂数字元认知子量表来介导,从而预测学术课程成绩。错失恐惧症直接预测成绩,同时也通过关于讲座期间对手机使用态度的第二个课堂数字元认知来介导。对大学生和教授的启示包括提高对课堂上技术使用的元认知,并进行“技术休息”以减少技术焦虑。