000			03099namaa2200409uu 4500
001			oapen86250
003			oapen
005			20240507100322.0
006			m o d
007			cr|mn|---annan
008			231219s2023 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
100	1		_aGoodell, Jim _4edt
245	1	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
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
700	1		_aGoodell, Jim _4oth
700	1		_aKolodner, Janet _4edt
700	1		_aKolodner, Janet _4oth
793	0		_aOAPEN Library.
856	4	0	_uhttps://library.oapen.org/handle/20.500.12657/86250 _70 _zFree-to-read: OAPEN Library: description of the publication
999			_c36814 _d36814