  The rise of the Internet of Everything lifestyle in the last decade has had a
significant impact on the increased emergence and adoption of online learning
in almost all countries across the world. E-learning 3.0 is expected to become
the norm of learning globally in almost all sectors in the next few years. The
pervasiveness of the Semantic Web powered by the Internet of Everything
lifestyle is expected to play a huge role towards seamless and faster adoption
of the emerging paradigms of E-learning 3.0. Therefore, this paper presents an
exploratory study to analyze multimodal components of Semantic Web behavior
data to investigate the emergence of online learning in different countries
across the world. The work specifically involved investigating relevant web
behavior data to interpret the 5 W's and 1 H - Who, What, When Where, Why, and
How related to online learning. Based on studying the E-learning Index of 2021,
the study was performed for all the countries that are member states of the
Organization for Economic Cooperation and Development. The results presented
and discussed help to interpret the emergence of online learning in each of
these countries in terms of the associated public perceptions, queries,
opinions, behaviors, and perspectives. Furthermore, to support research and
development in this field, we have published the web behavior-based Big Data
related to online learning that was mined for all these 38 countries, in the
form of a dataset, which is avail-able at
https://dx.doi.org/10.21227/xbvs-0198.
