Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Undetermined  (2)
  • Goodell, Jim  (2)
  • [Erscheinungsort nicht ermittelbar] : Taylor & Francis  (2)
  • Rennes : Presses universitaires de Rennes
  • Education  (2)
Datasource
Material
Language
  • Undetermined  (2)
Years
Publisher
  • [Erscheinungsort nicht ermittelbar] : Taylor & Francis  (2)
  • Rennes : Presses universitaires de Rennes
  • 1
    ISBN: 9781003276579 , 9781032208503 , 9781032232829
    Language: Undetermined
    Pages: 1 Online-Ressource
    Keywords: Education ; Higher & further education, tertiary education ; Educational equipment & technology, computer-aided learning (CAL) ; Open learning, home learning, distance education ; instructional 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
    Abstract: The 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
    Note: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Taylor & Francis
    ISBN: 9781032208503 , 9781032232829
    Language: Undetermined
    Pages: 1 Online-Ressource (22 p.)
    Keywords: Education ; Higher & further education, tertiary education ; Educational equipment & technology, computer-aided learning (CAL) ; Open learning, home learning, distance education
    Abstract: This introduction to the book provides a conceptual and historical overview of learning engineering. Although its formal definition is still evolving, learning engineering aims to optimize specific learning solutions--from the learning sciences to human-centered design methodologies to data-informed decision-making--in order to understand under what conditions and with what learners a current design is optimal or not, and to develop and test alternative more robust, or more refined, solutions that are more scalable. The author makes the case for learning engineering as a multidisciplinary approach that complements related professional practices and fields of study such as instructional design, learning sciences, data analytics, instructional systems design, and more. After a brief exploration of the differences between science from engineering, this introduction goes on to address the theoretical and professional origins of learning engineering as well as its inherently team-based process, using as examples the language-learning platform Duolingo and the Carnegie Mellon University spinoff Carnegie Learning, Inc. to discuss effective techniques
    Note: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...