Research Topics In Flux

I get excited thinking about research topics – here is my current list:

  1. Computational (Learning and) Thinking – As a HS computer science teacher, I think it is important to continue to define this term and develop a shared language for building computational thinking skills in our students. I am inspired by Shiram Krishnamurthi‘s beliefs on how we should move the field forward and focus on how we learn and think about computation.
  2. Open Education Resources (OER) – and models to support the upkeep and sustainability of these resources. You can read what Michael Feldstein writes about this topic – he links to two other helpful resources in his post. More information on OER can be found at www.oercommons.org.
  3. Virtual Reality – and its possible applications in education to tailor curriculum for the individual needs of students while retaining the benefits of learning in a group setting.
  4. Cyberlearning – and the intersection of technology and learning, as well as the challenges/obstacles in cyberlearning.
  5. The Internet of Things (IOT) – and leveraging these connections for learning while remaining grounded and secure (if that is possible).
  6. Blended Learning consortiums and collaborative experiences for schools to leverage shared learning opportunities.
  7. Collaborative Learning Spaces – inspired by How People Learn p. 279 – and thinking about virtual reality, online, and blended learning spaces. I am also interested in the interrelations between learning and learning environments.
  8. Universal Design for Learning – designing curriculum that fits the needs of a diverse group of learners. http://www.cast.org/udl/
  9. Developing tools for professional development and teacher education programs – for leveraging the use of technology in learning environments and also in the teaching computer science specifically.
    1. Conducting research to determine and evaluate the assumptions, preconceptions technology use in learning environments.
    2. Study the application of effective learning technologies to support learning for understanding.
    3. Combining the expertise of researchers with the wisdom of expert practitioners.

I am sure that this list will evolve and change as I continue to read and learn.

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