000			01356nam a2200253Ia 4500
001			UCASAGRANDE21608
007			ta
008			210819s2019||||xx |||||||||||||| ||spa||
020			_a978-1-138-302-17
040			_aUCASAGRANDE
041			_aspa
082			_a378.007
100			_aRangwala, Huzefa _eautor
245		0	_aLearning analytics in higher education: current innovations, future potential, and practical applications
250			_a1a ed
260			_aNew York: _bRoutledge, _c2019
300			_a199 p.: _bil; _c23 cm
505			_aAbsorptive capacity and routines: understanding barries to learning analytics adoption in higher education. Analytics in the field: wy locally grown continuos improvement systems are essential for effective data-driven decision-making. Big data, small data, and data shepherds. Evaluating scholarly teaching: a model and call for an evidence-based approach. Discipline-focused learnig analytics approaches with user instead of for users. Student consent in learning analytics: the devil in the details. Using learning analytics to improve student learning outcomes assessment: benefits, constraints, & Possibilities
513			_b2019
650			_aEducación Superior _957538
700			_aJohri, Aditya _eautor _985986
700			_aLester, Jaime _eautor _985987
942			_c1 _e2018-10-15 _zmmejia
999			_c137106 _d137106