Identifying Learning Disability Through Digital Handwriting Analysis

Personality Analysis Through Handwriting

Abstract— This work discusses about computer aided Graphology i.e. Personality analysis based on handwritten text, in which instead of a Graphologist, a system will be trained to perform the analysis without much human intervention. A real world dataset of handwritten text samples will be maintained and based on few features like Margins, Baseline, Size, Zones etc. depicted in each of the sampl...

Digital Pen Technology’s Suitability to Support Handwriting Learning

While digital technology is entering today’s classrooms and learning environments, handwriting is still primarily taught using regular pencil and paper. In our research we explore the potential of digital writing tools to augment the handwriting process while preserving its cognitive benefits. In particular, we are interested in (1) how the characteristics of digital writing tools influence chi...

Digital collaborative learning: identifying what students value

Digital technologies are changing the learning landscape and connecting classrooms to learning environments beyond the school walls.  Online collaborations among students, teachers, and scientists are new opportunities for authentic science experiences.  Here we present findings generated on PlantingScience ( www.plantingscience.org), an online community where scientists from more than 14 scien...

Identifying the Negative Stigma Associated with Having a Learning Disability

Identifying specific learning disability: is responsiveness to intervention the answer?

Responsiveness to intervention (RTI) is being proposed as an alternative model for making decisions about the presence or absence of specific learning disability. I argue that there are many questions about RTI that remain unanswered, and radical changes in proposed regulations are not warranted at this time. Many fundamental issues related to RTI are unresolved, and a better strategy may be to...