What is it about?
This study investigated what log files can reveal about learner behaviour of adult migrant learners who learn to read for the first time in Finnish as a second language. Log files, automatically created user-computer interaction records, were chosen as empirical evidence as their analysis enables in-depth post-activity exploration of student behaviour. The participants’ practices their alphabetic reading skills in an online training environment designed for a special adult learner population of so-called LESLLA (Literacy Education and Second Language Learning for Adults) learners.
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Why is it important?
The results show that individual learning performance, process, and progress can be investigated by exploring user’s individual digital learning footprints, their log files. Log files are accurate and precise, yet currently underemployed research data for non-expert researchers. More easy-to-use tools are in demand, as current Data Mining (DM) tools are designed for computer scientists and need to be developed further to become accessible and applicable by practitioners and educational researchers.
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This page is a summary of: Tracking and analysing the learner behaviour of non- and low-literate adults in an online literacy training environment, December 2018, Research-Publishing.net,
DOI: 10.14705/rpnet.2018.26.834.
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