{"title":"The Perspective of Using Big Data technology for the Purposes of Educational Transactional Analysis","authors":"Zbigniew Łęski","doi":"10.16926/eat.2019.08.06","DOIUrl":null,"url":null,"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).","PeriodicalId":34058,"journal":{"name":"Edukacyjna Analiza Transakcyjna","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Edukacyjna Analiza Transakcyjna","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.16926/eat.2019.08.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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).