A Sketch-Based Educational System for Learning Chinese Handwriting

Learning Chinese as a Second Language (CSL) is a difficult task for students in English-speaking countries due to the large symbol set and complicated writing techniques. Traditional classroom methods of teaching Chinese handwriting have major drawbacks due to human experts’ bias and the lack of assessment on writing techniques. In this work, we propose a sketch-based educational system to help CSL students learn Chinese handwriting faster and better in a novel way. Our system allows students to draw freehand symbols to answer questions, and uses sketch recognition and AI techniques to recognize, assess, and provide feedback in real time. Results have shown that the system reaches a recognition accuracy of 86% on novice learners’ inputs, higher than 95% detection rate for mistakes in writing techniques, and 80.3% F-measure on the classification between expert and novice handwriting inputs

An IoT System for Converting Handwritten Text to Editable Format via Gesture Recognition

Evaluation of traditional classroom has led to electronic classroom i.e. e-learning. Growth of traditional classroom doesn’t stop at e-learning or distance learning. Next step to electronic classroom is a smart classroom. Most popular features of electronic classroom is capturing video/photos of lecture content and extracting handwriting for note-taking. Numerous techniques have been implemented in order to extract handwriting from video/photo of the lecture but still the deficiency of few techniques can be resolved, and which can turn electronic classroom into smart classroom. In this thesis, we present a real-time IoT system to convert handwritten text into editable format by implementing hand gesture recognition (HGR) with Raspberry Pi and camera. Hand Gesture Recognition (HGR) is built using edge detection algorithm and HGR is used in this system to reduce computational complexity of previous systems i.e. removal of redundant images and lecture’s body from image, recollecting text from previous images to fill area from where lecture’s body has been removed. Raspberry Pi is used to retrieve, perceive HGR and to build a smart classroom based on IoT. Handwritten images are converted into editable format by using OpenCV and machine learning algorithms. In text conversion, recognition of uppercase and lowercase alphabets, numbers, special characters, mathematical symbols, equations, graphs and figures are included with recognition of word, lines, blocks, and paragraphs. With the help of Raspberry Pi and IoT, the editable format of lecture notes is given to students via desktop application which helps students to edit notes and images according to their necessity

Tablet PCs in schools: Case study report: A report for Becta by the Open University

The publication provides an analysis of twelve case studies involving schools in England that were using Tablet PCs. The analysis is complemented by brief individual reports describing aspects of how each of these schools was using Tablet PCs

Poverty and closing the gap: Adastra research consultancy projects

A fundamental principle which underpins all our teaching and research is the integration of theory and practice, and this principle is vividly exemplified within all the research consultancy projects. The longstanding successes in teacher training of Bishop Grosseteste University are founded upon the strength of our partnership with schools and educational settings. A key strand, that links our research ambitions with our commitment to teacher education, is the engagement in research consultancy and action research with partnership schools. The following reports all embed this approach of teachers working alongside researchers, integrating theory with practice, and focusing upon school-specific issues. They also represent excellent examples of how research can genuinely impact the prospects and life chances of young people. At the heart of our partnership is a focus on learners and learning, which the projects here also clearly share, alongside their key contribution in helping to close the educational attainment gap. Specifically, the research projects will enable the individual schools to develop further good practice, for the benefit of their own pupils, but also with potential applicability to other schools and settings. Furthermore, it is hoped they may motivate and inspire other teachers or schools to embark upon action research projects, driving further improvements in teaching and learning. Finally, for the individual teachers involved, the experience will hopefully stimulate an on-going theory-practice dialogue and provide impetus for further CPD and/or action research