This textbook considers and addresses the design of online learning objects, electronic textbooks, short courses, long courses, MOOC courses, and other types of contents for open sharing. It also considers the design of online mediated communities to enhance such learning. The “openness” may be open-access, and/or it may even be open-source. The learning may range from self-directed and automated to AI robot-led to instructor-led.
The main concept of this work is that design learning for open sharing, requires different considerations than when designing for closed and proprietary contexts. Open sharing of learning contents requires a different sense of laws (intellectual property, learner privacy, pedagogical strategies, technologies, media, and others). It requires different considerations of learner diversity and inclusion. It requires geographical, cultural, and linguistic considerations that are not as present in more localized designs. The open sharing aspect also has effects on learner performance tracking (assessments) and learner feedback.
This textbook targets students, both undergraduate and graduate in computer science, education and other related fields. Also, professionals in this field managing online systems would find this book helpful.
Author Biography:
Shalin Hai-Jew has been working as an instructional designer at Kansas State University since 2006, and she has worked on a number of projects, including those related to biosecurity, turf grass management, grain science, game design, one health, public health, PTSD, mental health, social justice, and other federally funded projects. She has also worked on hundreds of online courses in her line of work. She has worked as an instructional designer here since 2006. She has created open-shared learning objects (all bylined) for a number of years, and these have been shared through a variety of publications, slideshow-sharing platforms, websites, and other spaces; some of these are listed in learning object referatories.Dr. Hai-Jew earned BAs in English and psychology and an MA in English from the University of Washington (in Seattle), and she earned an EdD from Seattle University (where she was a Morford Scholar). She has continuedher learning with university courses, both undergraduate and graduate, since her formal degree-based studies. She has received a number of scholarships and awards in higher education. She tested into the University of Washington at age 14 and started her studies there at 15 and earned two baccalaureate degrees by the time she was 18 and her first graduate degree by 20. She is a major believer in the power of education at all levels to change lives.In her professional life, she has worked in the public and private sectors. In general, she has worked as a college professor, both in the USA and abroad. She worked as a college instructor in the People’s Republic of China for 4 years (1988–1990, 1992–1994), the latter 2 years with the United Nations Volunteer Programme (UNV) of the United National Development Programme (UNDP). She worked for The Boeing Company as a faculty fellow for two consecutive summers. She worked for Catholic Community Services, a nonprofit organization, for one of her first jobs out of university.She has edited a number of academic texts and authored a few, with multiple major publishers. She is interested in human learning; online teaching and learning; research design, quantitative and qualitative data analytics methods, machine learning, and data visualization; and other related fields. She is working on multiple publishing projects currently, including an edited text on online survey research and an authored text on mapping electronic hive minds on the Social Web and Internet. She has served on a number of editorial advisory boards related to publications focused on educational technologies. She has served on the steering committee for Colleague 2 Colleague (C2C), a nonprofit professional organization for a number of years, and she co-edits the C2C Digital Magazine.For some more information and some basic third-party metrics:
ORCID ID: 0000-0002-8863-0175
Researcher ID: J-3022-2018
Publons Profile: https://publons.com/author/1268346/shalin-hai-jew#profile
Google Scholar Citations: https://scholar.google.com/citations?user=0ungL5gAAAAJ&hl
