Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Our previous works have introduced the Tsaap-notes platform dedicated to the semi automatic generation of multiple choice questionnaire providing feedbacks: it reuses interactive questions asked by teachers during lectures, as ll as the notes taken by students after the presentation of the results as feedbacks integrated into the quizzes. ,  introduce a new feature which aims at increasing the number of contributions of students in order to significantly improve the quality of the feedbacks used in the resulting quizzes. This feature splits the submission of an ansr into several distinct phases to harvest explanations given by students, and then applies an algorithm to filter the best contributions to be integrated as feedbacks in the tests. Our approach has been validated by a first experimentation involving master students enrolled in a computer science course.
['Franck Silvestre', 'Philippe Vidal', 'Julien Broisin']
I am writing a research paper on a idea Reflexive Learning, Socio-cognitive Conflict and Peer-assessment to Improve the Quality of Feedbacks in Online Tests
[{"from": "human", "value": "I am writing a research paper on a idea Reflexive Learning, Socio-cognitive Conflict and Peer-assessment to Improve the Quality of Feedbacks in Online Tests"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Our previous works have introduced the Tsaap-notes platform dedicated to the semi automatic generation of multiple choice questionnaire providing feedbacks: it reuses interactive questions asked by teachers during lectures, as ll as the notes taken by students after the presentation of the results as feedbacks integrated into the quizzes. ,  introduce a new feature which aims at increasing the number of contributions of students in order to significantly improve the quality of the feedbacks used in the resulting quizzes. This feature splits the submission of an ansr into several distinct phases to harvest explanations given by students, and then applies an algorithm to filter the best contributions to be integrated as feedbacks in the tests. Our approach has been validated by a first experimentation involving master students enrolled in a computer science course."}]