Learning Analytics - New Flavor and Benefits for Educational Environments

Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanis...
Ausführliche Beschreibung

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Autor*in:	Aleksandra KLAŠNJA-MILIĆEVIĆ [verfasserIn] Mirjana IVANOVIĆ [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Learning Analytics (LA) education application learning environments effective learning system

Übergeordnetes Werk:	In: Informatics in Education - Vilnius University, 2019, 17(2018), 2, Seite 285-300
Übergeordnetes Werk:	volume:17 ; year:2018 ; number:2 ; pages:285-300

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.15388/infedu.2018.15

Katalog-ID:	DOAJ031984339

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allfieldsSound	10.15388/infedu.2018.15 doi (DE-627)DOAJ031984339 (DE-599)DOAJ8feb4090ebfe4a4892c5eb5c398a0769 DE-627 ger DE-627 rakwb eng LC8-6691 Aleksandra KLAŠNJA-MILIĆEVIĆ verfasserin aut Learning Analytics - New Flavor and Benefits for Educational Environments 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanism for supporting learners, instructors, teachers, learning system designers and developers to better understand educational processes and predict learners' needs and performances. In this paper, we analyze the important dimensions and objectives of LA, application possibilities and some challenges to the beneficial exploitation of educational data. The required skills and capabilities that make meaningful use of LA techniques and technologies in this domain are considered and identified. Presented findings can act as a valuable guide for setting up LA services in support of educational practice. Also, they can be used as learner guidance, in quality assurance, curriculum development, and in improving learning process effectiveness and efficiency. Finally, this paper proposes the unavoidable constraints that affect LA technologies in education. Learning Analytics (LA) education application learning environments effective learning system Special aspects of education Mirjana IVANOVIĆ verfasserin aut In Informatics in Education Vilnius University, 2019 17(2018), 2, Seite 285-300 (DE-627)477039596 (DE-600)2172808-2 23358971 nnns volume:17 year:2018 number:2 pages:285-300 https://doi.org/10.15388/infedu.2018.15 kostenfrei https://doaj.org/article/8feb4090ebfe4a4892c5eb5c398a0769 kostenfrei https://infedu.vu.lt/doi/10.15388/infedu.2018.15 kostenfrei https://doaj.org/toc/1648-5831 Journal toc kostenfrei https://doaj.org/toc/2335-8971 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_1200 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2086 GBV_ILN_2507 GBV_ILN_2863 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2018 2 285-300
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callnumber-first	L - Education
author	Aleksandra KLAŠNJA-MILIĆEVIĆ
spellingShingle	Aleksandra KLAŠNJA-MILIĆEVIĆ misc LC8-6691 misc Learning Analytics (LA) misc education misc application misc learning environments misc effective learning system misc Special aspects of education Learning Analytics - New Flavor and Benefits for Educational Environments
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topic_title	LC8-6691 Learning Analytics - New Flavor and Benefits for Educational Environments Learning Analytics (LA) education application learning environments effective learning system
topic	misc LC8-6691 misc Learning Analytics (LA) misc education misc application misc learning environments misc effective learning system misc Special aspects of education
topic_unstemmed	misc LC8-6691 misc Learning Analytics (LA) misc education misc application misc learning environments misc effective learning system misc Special aspects of education
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title	Learning Analytics - New Flavor and Benefits for Educational Environments
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title_full	Learning Analytics - New Flavor and Benefits for Educational Environments
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title_sort	learning analytics - new flavor and benefits for educational environments
callnumber	LC8-6691
title_auth	Learning Analytics - New Flavor and Benefits for Educational Environments
abstract	Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanism for supporting learners, instructors, teachers, learning system designers and developers to better understand educational processes and predict learners' needs and performances. In this paper, we analyze the important dimensions and objectives of LA, application possibilities and some challenges to the beneficial exploitation of educational data. The required skills and capabilities that make meaningful use of LA techniques and technologies in this domain are considered and identified. Presented findings can act as a valuable guide for setting up LA services in support of educational practice. Also, they can be used as learner guidance, in quality assurance, curriculum development, and in improving learning process effectiveness and efficiency. Finally, this paper proposes the unavoidable constraints that affect LA technologies in education.
abstractGer	Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanism for supporting learners, instructors, teachers, learning system designers and developers to better understand educational processes and predict learners' needs and performances. In this paper, we analyze the important dimensions and objectives of LA, application possibilities and some challenges to the beneficial exploitation of educational data. The required skills and capabilities that make meaningful use of LA techniques and technologies in this domain are considered and identified. Presented findings can act as a valuable guide for setting up LA services in support of educational practice. Also, they can be used as learner guidance, in quality assurance, curriculum development, and in improving learning process effectiveness and efficiency. Finally, this paper proposes the unavoidable constraints that affect LA technologies in education.
abstract_unstemmed	Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanism for supporting learners, instructors, teachers, learning system designers and developers to better understand educational processes and predict learners' needs and performances. In this paper, we analyze the important dimensions and objectives of LA, application possibilities and some challenges to the beneficial exploitation of educational data. The required skills and capabilities that make meaningful use of LA techniques and technologies in this domain are considered and identified. Presented findings can act as a valuable guide for setting up LA services in support of educational practice. Also, they can be used as learner guidance, in quality assurance, curriculum development, and in improving learning process effectiveness and efficiency. Finally, this paper proposes the unavoidable constraints that affect LA technologies in education.
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title_short	Learning Analytics - New Flavor and Benefits for Educational Environments
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