000			02665ntm a2200301Ia 4500
001			318201
005			20260707210608.0
008			051012s2017 xx a bm 000 0 eng d
040			_aORE _cORE
049			_aOREV
090			_aLD4330 _bKarumba, Samuel Maina
100	1		_aKarumba, Samuel Maina. _9415123
245	1	0	_aSmart education: an event framework for cognitive blended learning / _cby Samuel Maina Karumba.
260			_cc2017.
300			_axx leaves : _bill. ; _c29 cm.
500			_aPrintout.
502			_aThesis ()--Oregon State University, .
520	3		_aDigital learning has increasingly been adopted around the world, evidenced by large scale deployment of online learning platforms. More specifically, the use of hand held devices such as mobile phones and tablets has disrupted learning as we traditionally knew it. Blended learning,which extends classroom learning with computer mediated learning, is increasingly being adopted by education systems around the world. However, the two (blended learning and traditional classroom learning) have not been well integrated. For example, there is limited or no information sharing between digital learning mostly carried out by an automated tutor and the traditional classroom conducted by a human instructor. This leads to fragmentation in the overall teaching and learning experience.Existing blended learning platforms have tried to address this issue by focusing on performance management. This approach ignores the bigger challenge in public and private schools: the large number of students to teacher and the inability to offer personalised learning that is essential for students to excel academically. Understanding how personalized technical interventions can be designed requires understanding of where issues intersects. We present the overall architecture and design of event framework. The first version supporting a core set of capabilities for blended learning has been implemented as mobile applications for teachers and students. We conducted a limited pilot to test the technology in an actual classroom setting. We also report on a usability study of the event framework that demonstrates user awareness and support for data-driven cognitive decision-making in education.
530			_aAlso available on the World Wide Web.
504			_aIncludes bibliographical references (leaves - ).
650		0	_aDigital Learning. _9415124
650		0	_aBlended Learning. _9162492
650		0	_aMobile Technology. _9402410
650		0	_aKnowledge Models. _9415125
856			_uhttp://hdl.handle.net/11071/5828
942			_cTH
999			_c318201 _d289457