000 03474namaa2200505uu 4500
001 doab132092
003 oapen
005 20260305123952.0
006 m o d
007 cr|mn|---annan
008 231220s2023 xx |||||o ||| 0|eng d
020 _a9781003276579
020 _a9781003276579
020 _a9781032208503
020 _a9781032232829
024 7 _a10.4324/9781003276579
_2doi
040 _aoapen
_coapen
041 0 _aeng
042 _adc
072 7 _aJN
_2bicssc
072 7 _aJNM
_2bicssc
072 7 _aJNQ
_2bicssc
072 7 _aJNV
_2bicssc
720 1 _aGoodell, Jim
_4edt
245 0 0 _aLearning Engineering Toolkit
_bEvidence-Based Practices from the Learning Sciences, Instructional Design, and Beyond
260 _bTaylor & Francis
_c2023
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
506 0 _aFree-to-read
_fUnrestricted online access
_2star
520 _aThe Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, engineering design, and other methodologies to support learners. As learning engineering becomes an increasingly formalized discipline and practice, new insights and tools are needed to help education, training, design, and data analytics professionals iteratively develop, test, and improve complex systems for engaging and effective learning. Written in a colloquial style and full of collaborative, actionable strategies, this book explores the essential foundations, approaches, and real-world challenges inherent to ensuring participatory, data-driven, learning experiences across populations and contexts.
540 _aAll rights reserved
_uhttp://oapen.org/content/about-rights
546 _aEnglish
650 7 _aEducation
_2bicssc
650 7 _aEducational equipment & technology, computer-aided learning (CAL)
_2bicssc
650 7 _aHigher & further education, tertiary education
_2bicssc
650 7 _aOpen learning, home learning, distance education
_2bicssc
653 _ainstructional design; user experience design; data analysis; ISLS; International Society of the Learning Sciences; technology-enhanced learning; artificial intelligence; participatory research design; learning design; engineering design; Janet Kolodner; human-centered learning; Association for the Advancement of Computing in Education; IEDMS; online learning; reskilling; E-Learning; learning sciences; Evidence-Based Practices; computer science; learning analytics; big data; Society for Learning Analytics Research; International Educational Data Mining Society; AECT; Association for Educational Communications and Technologies; ICICLE; design-based research; Learning Engineering Toolkit; lean-agile development; SoLAR; IEEE IC Industry Consortium on Learning Engineering; digital learning; course design; upskilling; massive open online courses; human computer interaction; HCI; Jim Goodell; data science; educational data mining; AACE; educational technologies; MOOC
720 1 _aGoodell, Jim
_4oth
720 1 _aKolodner, Janet
_4edt
720 1 _aKolodner, Janet
_4oth
793 0 _aDOAB Library.
856 4 0 _uhttps://directory.doabooks.org/handle/20.500.12854/132092
_70
_zFree-to-read: DOAB: description of the publication
999 _c93128
_d93128