By examining these two approaches, we were able to identify a number of areas where some applications do not meet confidentiality and security best practices, as well as a number of trends and recommendations regarding the risks in this ecosystem. Talking to different educators about the tools they found useful and conducting some of our own research, we came to this universe of applications relevant to distance learning, but not limited to an additional set of tools that could be used, such as a large school district with a formalized purchasing process. For example, the ones I mentioned were related to the excessive collection of user information and permanent identifiers, the disclosure of data by third parties that bypass privacy improvements, and the inclusion of advertising and media analysis. For advertising or analysis purposes, or to disclose the user’s experience to media companies, sometimes with privacy issues that the user raises, the SDK may collect information that may not be of benefit to the user. However, if a lot of information is collected and shared with third parties, and you are not aware of it and can do nothing about it, there is a risk of privacy violations. I would like to say something in common, and overall we are pleased that many learning apps have included privacy enhancing features in their design. The best way to understand ID forms, allowing the user to redefine the appropriate ID for advertising purposes.