subject predicate object context
25952 Creator c22b5744f00cf3c01def02a43369c3b7
25952 Creator f2df40b39ce1c3a9fbba5bf409c919cd
25952 Creator 16500f87aca48f5666414b49074754d0
25952 Creator 3aae717347dda72b6f058d35c41112f1
25952 Date 2010-10
25952 Is Part Of repository
25952 abstract This paper evaluates CONSPECT, a service that analyses states in a learner’s conceptual development. It combines two technologies – Latent Semantic Analysis to analyse text and Network Analysis (NA) to provide visualisations – into a technique called Meaningful Interaction Analysis (MIA). CONSPECT was designed to help both online learners and their tutors monitor their conceptual development. This paper reports on the validation experiments undertaken to determine how well LSA matches first year medical students in clustering concepts and in annotating text. The validation used several techniques, including card sorting and Likert scales. CONSPECT produces almost ‘peer’ quality results and what remains to be tested is whether it improves with more advanced learners. One of the experiments showed an average 0.7 correlation between humans and CONSPECT.
25952 authorList authors
25952 presentedAt ext-a035a20a15c6be72e2f84a6bb2ec7d44
25952 status peerReviewed
25952 uri http://data.open.ac.uk/oro/document/22034
25952 uri http://data.open.ac.uk/oro/document/22035
25952 uri http://data.open.ac.uk/oro/document/22036
25952 uri http://data.open.ac.uk/oro/document/22689
25952 type AcademicArticle
25952 type Article
25952 label Wild, Fridolin ; Haley, Debra and Buelow, Katja (2010). Monitoring conceptual development with text mining technologies: CONSPECT. In: eChallenges 2010, 27-29 Oct 2010, Warsaw, Poland.
25952 label Wild, Fridolin ; Haley, Debra and Buelow, Katja (2010). Monitoring conceptual development with text mining technologies: CONSPECT. In: eChallenges 2010, 27-29 Oct 2010, Warsaw, Poland.
25952 Title Monitoring conceptual development with text mining technologies: CONSPECT
25952 in dataset oro