{'fraction_non_alphanumeric': 0.011933174224343675, 'fraction_numerical': 0.0, 'mean_word_length': 5.503875968992248, '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 the Creative Potential of Students by Mining a Word Association Task

Creativity is a relevant skill for human beings in order to overcome complex problems and reach novel solutions based on unexpected associations of concepts. Thus, the education of creativity becomes relevant, but there are not tools to automatically track the creative potential of learners over time. This work provides a novel set of behavioural features about creativity based on associative skills. These associations are processed to define two models that depict students’ creative potential. This way, we have reached an acceptable accuracy rate in the classification of creative potential, hence we have found concrete evidence regarding the ability to automatically predict the creative potential of students based on their association capabitilies.