This research focuses on the design, implementation and assessment of an innovative community based learning project between The Land Conservancy of British Columbia (Enterprises) Ltd. (TLC‐E) and The Land Conservancy of British Columbia (TLC). TLC‐E is a profit‐oriented business unit of TLC that delivers community based learning on a fee‐for‐service basis in support of The Land Conservancy’s overall mission, which includes providing opportunities for the public to take part in experiential education programs that inspire stewardship of their home‐place.
This internship will investigate the role which demographic, familial, individual and school level factors play in students’ pursuit of educational pathways in New Brunswick. Differing educational pathways can be defined as being either typical (e.g. a high academic achieving student pursuing post-secondary education), or atypical (e.g. a high academic achieving student dropping out of high school or completing high school but not pursuing further education). Previous research has shown that academic achievement is the greatest predictor of future educational pathways.
Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Reinforcement has been well-studied in psychology and proven to be an efficient learning technique. However, learning behavior varies from one individual to another. It is important to understand one’s learning capabilities and response pattern so as to customize the reinforcement process and to optimize the performance of individual learners.
Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Assessment of learned knowledge needs to focus on two distinct aspects: knowledge retention and associated cognitive skills. Knowledge retention not only refers to the ability to recall learned facts but also the ability to understand the relationship between these facts (ie to understand the structure of the learned domain knowledge).
Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. This project involves the design of a parameter-based statistical algorithm to automatically generate math questions for multimedia education applications. Rather than relying on a curriculum designer to create questions one by one, multiple questions can be generated by the algorithm. By varying the parameter values, the model is able to control the difficulty level of the questions.