We demonstrate two systems, network-based and standalone, for collecting shadowing utterances and their automatic assessment. Since June 2016, these systems have been used in real English classes at several universities in Japan. The following features are highlighted: 1) To avoid pop noises from a speaker and reduce babble noises from other surrounding students, an ear-hook microphone is used with a USB audio device, 2) A network-based system and a standalone system were developed separately because network traffic not rarely causes technical errors when recording, 3) For beginners, easy-to-understand illustrations are prepared for them to get accustomed rapidly to shadowing practices, 4) DNN-based GOP calculation is run and its score is fed back to learners, and 5) To motivate them, the GOP score distribution over the learners is also fed back for them to compare their own scores with others'. In demonstration, each feature will be exhibited and explained in detail.