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Call For Paper

ICKLA is the premier forum for the presentation of new advances and research results in the fields of Knowledge & Learning Analytics. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

Knowledge

  • Finding evidence of learning
  • Assessing student learning
  • Analytical and methodological approaches
  • Technological infrastructures for data storage and sharing
  • Insights into specific learning processes
  • Learning and teaching modeling

Learning Analytics

  • Offer conceptual frameworks that connect learning design and learning analytics, that bridge the gap between theory and practice, and/or that offer guidance in use, interpretation of and reflection on learning analytics for refinement and redesign of learning activities.
  • Detail examples or use cases in which learning design changes (design of learning environments, choice of pedagogical approach, just-in-time adaptation of design while teaching) driven or informed by learning analytics are positively (or negatively) influencing learning or the learner experience.
  • Explore how educators plan, implement and evaluate learning designs, and how they might take greater advantages of learning analytics to do so (and vice versa).
  • Trace how progress and insights in the field of learning analytics is contributing to learning design decisions and
  • Investigate effective interpretations of learning analytics to offer insights into learning processes that can be theoretically grounded in ways that inform theory and learning design.
  • Explore way in which educators may effectively share learning design decisions with learners, or collaborate with learners in learning
  • Consider whether and how learning analytics might contribute to personalization and flexibility vs. scalability and standardization of learning
  • Track the impact of learning analytics-informed learning design over.


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