Researchers are invited to contribute to a BJET special section as a way of celebrating the journal's 50th anniversary.
Title of special section: Human learning and learning analytics in the age of artificial intelligence (Critical perspectives on learning analytics and artificial intelligence in education)
Guest editor: Andreja Istenič Starčič, Professor University of Primorska & University of Ljubljana; Visiting scholar University of North Texas.
This special section focuses on human learning and learning analytics in the age of artificial intelligence across disciplines. In May 2018, we organized the working symposium “The Human-Technology Frontier: Understanding the Human Intelligence 0.2 with Artificial Intelligence 2.0”, sponsored by the Association of Educational Communications and Technology (AECT). Distinguished scholars, including learning scientists, psychologists, neuroscientists, computer scientists, and educators addressed urgent questions and issues on the learner as a whole person, with healthy development of the brain, habit, behaviour, and learning in the fast-advancing technological world. The symposium inspired these special issue topics (but the special section is not limited to them):
- Learning and human intelligence: Based on what we know of the brain and what we are likely to understand in the near future, how should learning be defined/redefined?
- Learning and innovation skills, the 4C - creativity, critical thinking, communication and collaboration: How could learning technologies support the transformative nature of learning involving all domains of learning, cognitive, psychomotor, affective-social? How could the advanced feedback and scaffolds support the transition from “combinational” to the “exploratory” and “transformational” creativity, thinking and potential consequences for communication and collaboration?
- Towards a holistic account of a person – brain, body, habits, and environment: What would a learning and research design that embraces a whole person perspective look like?
- Human intelligence with innovations and advances of technologies: What technologies are most likely to have a positive impact on learning in the short and long future?
- Properties and units of measures of learning: What are the constructs of learning and beliefs about learners and learners’ needs given the multilevel technologies, collaborative networks, interaction and interface modalities, methodologies and analysis techniques we have to work with?
- Learning perspectives: Do we face transitions in theories of learning?
Please send the working title of your paper with a short abstract (and names of co- authors) to firstname.lastname@example.org by November 30th, 2018.Deadline for manuscript submissions: February 10th, 2019. For more information, contact email@example.com