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Next, we introduce the support technologies required by the paradigm.
Four support technologies for smart learning are identified (p. 38).
Apart from support technologies like a GPS, a self-sufficient visual system is desirable.
Type 2 is assessment and support technologies, i.e., teaching assessment technologies (association rules, data mining) and learning support technologies (augmented reality, 3D printing, rich media, learning terminal).
Second, it reviews the support technologies that enable the dataflow approach to achieve its maximum.
This chapter focusses on two decision support technologies: data warehousing and Online Analytical Processing (OLAP).
Distributed teams can carry out critical tasks with appropriate decision support technologies.
New life support technologies for CEV that address identified shortcomings of existing systems are discussed.
On the other side, their approach was an experiment and explained difficulties when combing two kind of decision support technologies.
The introduction of the NATM began with the promotion of "active" support technologies such as rock bolt and spray concrete.
The principal support technologies are: (1) contamination control, (2) silicon wafer manufacturing, (3) circuit design, and (4) photomask/reticle manufacturing.
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