Saturday, September 24, 2011

Week 2: Sept 19th, 2011


Research:
In order to evaluate an educational application or tutoring software, it is important to examine particular teaching strategies and concepts that have been proven to promote student engagement and knowledge retention.

The following concepts stem from the
constructivist learning theory, which states that humans generate knowledge and meaning from their ideas and past experiences. "How People Learn: Brain, Mind, Experience, and School: Expanded Edition" elaborates on evidence that shows that if teacher use their students preexisting knowledge as a starting point, the student's learning is enhanced. However, our difficulty is that a tutor or a teacher has the ability to adapt their material to cater to the strengths and particular learning ability of the student. It is much more difficult to replicated this in a computer-based learning environment.

There are several issues that arise when attempting to effectively transfer knowledge from 'teacher' to 'student', in the classroom or online:

  • Per-conceived ideas and preexisting knowledge of the learners: they come with prior knowledge, skills and beliefs, and will ignore what he or she thinks is known to them.
  • Miscommunication: The users mental model and understanding is often not the same as that which is trying to be conveyed.
  • Loss of interest: This is why clarification and confirmation of understanding is essential!
The Commission on Behavioral and Social Science Education also outlined several principles in order to enhance the learning experience:
  • Active Learning: Users should be able to recognize when they are not understanding a concept, and need more information. This is often referred to as taking a metacognitive approach to instruction, where the student is taught to monitor their own learning. This can be very challenging depending on the age and cognitive ability of the student.
  • Repeated exposure to key concepts
  • Frequent, formative and reflective assessments: This approach supports active learning, and should test deep understanding rather than just surface knowledge (memorization).
  • Deep foundation of knowledge and understanding: Attempting to cover many concepts too quickly can promote surface learning by conditioning the student to learn only isolated sets of facts.
Thus, establishing a foundation of factual knowledge and promoting reflection has been proven to help accomplish the educational objective. In a comparison of deep and surface learning approaches, Biggs states that "Reflection is indicative of deep learning, and where teaching and learning activities such as reflection are missing...only surface learning can result." (Biggs 1999 in King 2002).

Evaluations:
I met with
Angela Jeske, a psychology student involved in one of the cognitive game projects. We discussed the progress of the project and the potential need for user evaluations in the near future. This meeting requires a follow-up to determine the extent of the Comp Sci Department involvement in the evaluation.

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