# Smart Learning Technological in the Economy 5.0--The Polish Perspective
## 5 Results
### Current Use of Technological Tools and Solutions  
Among the devices used to connect to the Internet in search of information, work, shopping or entertainment, the respondents participating in the survey, often and most often use a smartphone (93.0%), a laptop (74.1%), and mobile phones--a desktop computer (25.7%), and they rarely and least often use a smartwatch (93.9%), a TV set (69.7%), and a tablet (34.6%). Such results are in line with the trends of dispersion and use of devices indicated in the research: Report \"We are the Social-Digital 2019\" [47]. The smartphone as a tool for communication, work, and entertainment becomes a symbol of the digital revolution. Other devices are not as popular in use or are not identified as the ones with which you can access the network. To the next question about knowledge and usage of new technologies the participants of the study indicate that they know, apply, and use such technological solutions as cloud computing (55.3%), hyperconnection (55.1%), artificial intelligence (43.3%), and BDaaS solutions, i.e., Big Data as a Service (42.2%). In turn, technologies such as robotization (58.9%), BDA analytics, i.e., Big Data Analytics (47.2%), automation (46.2%), virtual reality (46.0%), and chat bot (45.6 %) are known to them, but they do not use them. However, they do not know and do not use solutions such as machine learning (51.8%), IoE Internet of Everything (45.4%), and IoT or Internet of Thing (38.1%). Indications for specific technologies as known and applied, known and not used, and unknown and used reflect the propagation of specific technological solutions, the age of users and their functioning in enterprises. When asked about the knowledge of the manifestations of using innovative technologies, nearly three fourths (69.5%) of the respondents indicate learning and teaching as the areas that they had contact with. A smart home was indicated in the first place (79.8%). Moreover, nearly half of the respondents encountered solutions of intelligent transport (58.2%), smart city (48.0%), and intelligent logistics (47.8%). Slightly fewer people also indicated smart trade (44.5%) and smart finance (40.4%). The smallest number of respondents admitted that concepts such as intelligent industry (31.1%) and intelligent clothing (19.0%) are known to them. The obtained results are related to the popularity of the application of innovative technological concepts in terms of the frequency of contact with them and thus their popularization. Predictive Manifestations of Smart Learning as a Model for the Development of Learning and Teaching in the Future  
The currently used e-learning technology is the first step in the reconstruction of the learning and teaching model from classical--prescription to innovative--smart learning. The respondents are of the opinion that Smart learning (Figure 2) in the future will be based on the integration of information collection between the student's living spaces, such as home-work-virtual classroom (69.1%). This opinion is shared by more women (72.5%) and undergraduate students (64.7%), which is confirmed by the statistical dependence \(\chi^{2}\) (Table 2). Moreover, according to respondents Smart learning will enable the participants to co-create the course content (68.0%). This is the opinion of slightly more younger people up to 39 years of age (64.6%); and definitely more women (70.7%), graduate students (75.1%), and part-time students (69.8%), which is confirmed by a statistically significant relationship \(\chi^{2}\) (Table 2.). According to respondents, another advantage of Smart learning will be the ability to simulate real events in virtual reality (61.9%). This opinion is shared by slightly more people younger than 39 (59.2%), women (62.3%), graduate students (73.7%) and part-time students (60.5%), which confirms the statistically significant correlation \(\chi^{2}\) (Table 2).