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In courses in Computing, Digital Technology and related areas, Computer Programming and Algorithms are initial subjects with a high failure rate. Remote teaching adopted as a result of the COVID-19 pandemic has brought new barriers, including the need for online tools. This work aims to identify, test and analyze free online platforms and tools that can help to overcome the adversities faced in Programming and Algorithms disciplines in the context of remote teaching. The methodology adopted was a quantitative study, in which a set of online tools was initially identified, which later had their usability level measured through questionnaires submitted to a group of students from the Technical Course in Computer Science for the Internet. The results identified that, among the analyzed tools, all have a range of positive and negative points, but only one of them presented a greater number of potentialities that facilitate the teaching-learning process in the context of remote teaching. At the end of the research, it was found that there is a wide variety of online tools that can help in the teaching of Programming and Algorithms, however, there are few tools with characteristics that meet all the needs in the context of remote teaching. [ABSTRACT FROM AUTHOR]

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