We're in this Together: Intentional Design of Social Relationships with AIED Systems

Erin Walker, Amy Ogan

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Students' relationships with their peers, teachers, and communities influence the ways in which they approach learning activities and the degree to which they benefit from them. Learning technologies, ranging from humanoid robots to text-based prompts on a computer screen, have a similar social influence on students. We envision a future in which AIED systems adaptively create social relationships with their learners in addition to modeling student learning and providing adaptive cognitive support. By deliberate design of the relationships between learners and systems, the systems can have maximal impact on student learning and engagement. This deliberate design would include careful consideration of the type of learning technology and its channels of communication with the learner, the broader context of the interaction, and the history of the relationship between the student and the learning technology. To achieve this vision, as a field, we will need to build understanding of how relationships form in human-technology settings, and how educational technologies should be advanced to support the assessment and monitoring of meaningful relationship factors over time.

Original languageEnglish (US)
Pages (from-to)713-729
Number of pages17
JournalInternational Journal of Artificial Intelligence in Education
Volume26
Issue number2
DOIs
StatePublished - Jun 1 2016

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Students
learning
student
Educational technology
educational technology
robot
Robots
Monitoring
monitoring
Communication
communication
teacher
history
interaction
community

Keywords

  • Emerging technologies
  • Social technologies
  • Systems that care

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Education

Cite this

We're in this Together : Intentional Design of Social Relationships with AIED Systems. / Walker, Erin; Ogan, Amy.

In: International Journal of Artificial Intelligence in Education, Vol. 26, No. 2, 01.06.2016, p. 713-729.

Research output: Contribution to journalArticle

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