{'fraction_non_alphanumeric': 0.015723270440251572, 'fraction_numerical': 0.0, 'mean_word_length': 5.725352112676056, '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}}
Modeling the Process of Analysis of Statistical Characteristics of Student Digital Text

The study of student digital texts, generated during distance learning is an urgent scientific and practical task, which involves specialists in various fields, i.e. linguistics, psychology, computer science, etc. The development of distance learning management systems provides researchers and teachers with a tool that simplifies such study. For students of related specialties, participation in the study of their digital texts allows witnessing the diversity of applied study, organized at the intersection of different disciplines. Statistical analysis of the text in combination with the psychological assessment of the speaker identifies ways to find relationships between the relative performance of digital text and the characteristics of the student. It is expedient to use the found dependencies for the personification of pedagogical work with students.