{'fraction_non_alphanumeric': 0.022197558268590455, 'fraction_numerical': 0.004439511653718091, 'mean_word_length': 5.681481481481481, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Learning Analytics for Learner Awareness in Remote Laboratories Dedicated to Computer Education

This paper addresses learning analytics for learner awareness in remote laboratories. The objectives we identified to provide selfand social awareness while learners are practicing in their virtual learning environment are threefold: (1) the definition of a performance metric that requires no assessment tests, (2) the tracking of data to infer that metric in real time, (3) the visualization of the performance metric to provide learners with awareness, without impacting learners’ cognitive load. To support these needs, we propose a metric related to our context of computer education, a generic tracking framework, and visualization tools. All of these suggestions have been implemented in Lab4CE, a remote laboratory management system for computer education currently in use within our university..