The Perspective of Using Big Data technology for the Purposes of Educational Transactional Analysis

Zbigniew Łęski
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引用次数: 1

Abstract

The 21st century is the time of dynamic technological progress. This phenomenon has a direct impact on educational processes – both at the level of needs and possibilities. And in this context, it is worth taking a closer look at what Transactional Analysis and Big Data technology possibilities can offer in this area. As D. Pankowska writes, ”Educational Transactional Analysis applies the assumptions of Transactional Analysis with reference to educational goals, conditions of its efficacy, methods of didactic and educational work, attitude to problems” (Pankowska, 212, p. 23). Additionally, it is enjoying more and more interest. However, to make certain actions really efficient, it is necessary to diagnose educational reality in a detailed and multilayered way. Big Data analytics might prove useful in this task as “it allows for taking decisions on the basis of the data that have not beena vailable or useless before. Thanks to advanced analytical techniques, […] one can analyse data sources not used before, independently or together with existing and traditionally available information” (Tanaś, 2019, p. 13).
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利用大数据技术进行教育交易分析的前景
21世纪是技术进步日新月异的时代。这一现象对教育过程产生了直接影响——无论是在需求层面还是在可能性层面。在这种情况下,值得仔细研究交易分析和大数据技术在这一领域的可能性。正如D.Pankowska所写,“教育交易分析将交易分析的假设应用于教育目标、其有效性的条件、教学和教育工作的方法、对问题的态度”(Pankowska212,第23页)。此外,它正受到越来越多的关注。然而,为了使某些行动真正有效,有必要对教育现实进行详细和多层次的诊断。大数据分析可能在这项任务中被证明是有用的,因为“它允许根据以前不可用或无用的数据做出决策。由于先进的分析技术,[…]人们可以独立地或与现有和传统可用的信息一起分析以前未使用的数据源”(Tanaś,2019,第13页)。
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