For nearly a century analogue machines and digital computers have been used by teachers to help mediate the delivery and assessment of closed questions. Student responses to yes/no questions, multiple choice questions or drag and drop activities can be processed by computers because they observe two possible states; namely, has the student selected the correct answer to a question – yes or no?
In the Autumn of 2017, colleagues at Bolton College embarked on a tentative journey to discover if a computer could be trained to support teachers to assess student responses to an open-ended question; and if real-time feedback improved the quality of student work when responding to such a question.
We have discovered that if we make use of natural language classification, natural language understanding and other tools a computer can indeed be taught to analyse and assess responses to an open-ended question.
It is also possible to offer textual and graphical real-time feedback to students. Our work also enables teachers to create multiple classification models that can be used to support the formative assessment of numerous open-ended questions.