Açıkgöz Ömer, Aslan Aydın, Günay Aslı
Social Sciences University of Ankara, Ankara, Turkey.
Selçuk University, Konya, Turkey.
Educ Technol Res Dev. 2022;70(5):1893-1910. doi: 10.1007/s11423-022-10120-0. Epub 2022 May 26.
This study aims to evaluate the level of Turkish higher education graduates' problem-solving skills (PSSs) in technology-rich environments (TREs) at work and daily life as information and communication technologies are increasingly used in economic and social structure. It also investigates the effects of socio-demographic factors including gender, age, the field of study, and higher education attainment level on their PSSs in TREs. In this context, the data concerning Turkish higher education graduates' PSSs released by the Programme for the International Assessment of Adult Competencies (PIAAC) in 2016 was used. With regard to methodology, we employed descriptive and logistic regression analyses to investigate the data. The descriptive statistics results indicated that the participants use computer at a basic level in TREs and work in small and medium enterprises where technology is not highly demanded at moderate and advanced levels. The logistic regression analysis results revealed that gender and higher education level have significant impacts on their level of PSSs in TREs as opposed to age and the field of study variables. The significant differences are in favor of the female participants and associate and bachelor degree levels. These findings accounted for nearly 4% of their level of problem solving skills. Based on the study findings and the changing expectations of labor market, the policy proposals were discussed to increase the level of Turkish higher education students' PSSs in TREs. The study can contribute to the literature, thereby assisting the development of new practices or policies in Turkey to advance higher education graduates' PSSs in order to meet the needs of TREs at both work and in daily life.
随着信息通信技术在经济和社会结构中越来越多地被使用，本研究旨在评估土耳其高等教育毕业生在工作和日常生活的技术丰富环境（TREs）中的问题解决能力（PSSs）水平。它还调查了包括性别、年龄、研究领域和高等教育 attainment 水平在内的社会人口因素对他们在 TREs 中的 PSSs 的影响。在此背景下，使用了国际成人能力评估计划（PIAAC）2016年发布的有关土耳其高等教育毕业生 PSSs 的数据。在方法论方面，我们采用描述性和逻辑回归分析来研究数据。描述性统计结果表明，参与者在 TREs 中基本使用计算机，并且在对技术需求不高的中小企业中工作，处于中等和高级水平。逻辑回归分析结果显示，与年龄和研究领域变量相反，性别和高等教育水平对他们在 TREs 的 PSSs 水平有显著影响。显著差异有利于女性参与者以及副学士学位和学士学位水平。这些发现占他们问题解决能力水平的近4%。基于研究结果和劳动力市场不断变化的期望，讨论了提高土耳其高等教育学生在 TREs 中的 PSSs 水平的政策建议。该研究可为文献做出贡献，从而有助于在土耳其制定新的实践或政策，以提高高等教育毕业生的 PSSs，以满足工作和日常生活中 TREs 的需求。
