Akademik Veri Yönetim Sistemi
Journal of Educational Technology and Online Learning, cilt.5, sa.1, ss.1-13, 2022 (Hakemli Dergi)
This
study aims to examine e-learning experiences of the learners by using learner
system interaction metrics. In this context, an e-learning environment has been
structured within the scope of a course. Learners interacted with learning
activities and leave various traces when they interact with others, contents,
and assessment tasks. Log data were formed on these
e-learning interactions. In the data analysis phase, firstly, a data
pre-processing was performed, and then confirmatory factor analysis (CFA) was
used to test how well the measured learning activity variables represent the
latent system component variables. Then it was tested whether these components
compose a latent e-learning experience variable (second-order CFA). The results
showed that the learners interacted with five different system components:
hypertext, the content package, video, discussion, and e-assessment. In
conclusion, there is a factorial relationship between the system components and
learning activities. These components taken together constitute an e-learning
experience variable. When the factor loadings between the e-learning experience
structure and subcomponents were examined, the discussion interactions in which
the learner structured knowledge highlighted. In summary, the discussions,
formative assessments, and content activities formed the learners’ e-learning
experience together. In order to form a well-structured e-learning environment,
these activities together should be experienced by the learners.