{'fraction_non_alphanumeric': 0.014749262536873156, 'fraction_numerical': 0.0, 'mean_word_length': 5.79, '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}}
Using Network Text Analysis to Characterise Teachers' and Students' Conceptualisations in Science Domains

The ongoing EU project JuxtaLearn aims at facilitating the acquisition of science concepts through videos, especially also through creation of videos on the part of the learners. Learning Analytics techniques are used to extract and represent teachers’ and students’ concepts manifested in interactive workshops based on textual artefacts. First results of using the network text analysis method are available. This approach will be further used to pinpoint the teachers’ specific perspectives and views and possibly the development of their conceptualisations over time.