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Problem: Questions are fundamental to learning -- both in terms of assessing learner's progress as well as in terms of generating curiosity. Boards like CBSE have repository of questions, which are so far accessible to just the affiliated schools and a select few, and in a closed system. How can we open up these assets to all, and provide value added services on the top.
Energised Energized Question Bank (EQB) envisions to have a repository of questions and related data, make them available to different applications, offer value added services to Teachers, Parents, and Learners, among other concerned stakeholder in the educational ecosystem.
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Sample UseCase: In a Textbook, for each chapter, create a packet containing one mark and five mark questions that have appeared in previous exams, and link them to the chapter. This will allow learners to prepare for exams in a targeted fashion - a digital twin of a guide book available in the market.
Few Definitions and Notions:
- Question: A question is a measuring construct used to assess the learning outcome of a learner. In simple terms, a question is what is given to a student for the purpose of assessing a student's proficiency in a concept. Example: Explain the benefits of ground water recharging?
- Question Set: A question set a collection of questions having a certain common characteristic. That common characteristic is defined in terms of the question meta data. Example: set of all questions having one mark.
- Question Paper: It is an array (collection) of Question Sets, where additional conditions/restrictions are placed at the individual member Question Sets. For example, give ten, 1 mark questions, followed by 5 five mark questions, which all must have appeared in exams.
- Answer: A workout, in sufficient details, that satisfies what is asked. In the simple terms, it is what a student provides in response to a question. It could just be a correct option in a Multiple Choice Question (MCQ), a single word or a phrase in the Fill-In-The-Blank (FTB) Question, a 150 word essay in a creative writing question.
- Marking Scheme: A Marking Scheme is a set of hints or key points, along with grading scheme, that an evaluators looks for when grading assessments. Primarily, Marking Scheme is meant for a teacher (evaluator) and not a student.
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Pre-requisites: Assume that Textbook Framework and Question Meta data are aligned at the Taxonomy level. Different entry points can be enabled to create Textbooks that are linked with Question Sets. Two In addition, two data points are required to create an Energised Energized Question Bank: 1) Textbook Spine 2) Question Set Logic. Once these two pieces are available, a Textbook can be created with links to Question Sets.
Different entry points can be enabled to create Textbooks that are linked with Question Sets. Few are suggested below.
- Automated Textbook Creation:
- Provide Textbook Spine as a CSV or create these spines for every Framework available in the platform. DIKSHA Implementation can create Textbook Spines via APIs or via Portal UI
- Provide a list of available Pre-baked Question Set Intent Blueprints.
- For every entry in the Spine, and the preselected list of Blueprints, fire the query, get the question sets, create the resources, and link them
- Once an energised energized question bank is created, a user can edit it.
- EQB Creation via eVolve:
- Current eVolve UI for creating Textbooks and linking Teaching Content can be leveraged (Rayulu you can add more specifics here)
- Semi Automated: DIKSHA Implementation Team can create Textbooks via APIs or portal UI. From backend, EQB can be auto created, made available for editing. eVolve UI can be enhanced to edit the Intent configuration and select, deselect the items in the result set.
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- Question Metadata
- from CBSE hard disk: subject, medium, grade, difficulty, blooms level, question type, marks, marking scheme, answer
- Sunbird Taxonomy map: topic, subtopic
- additional:
- Question Data
- urls:
question image, marking scheme image,bundle pdf, png. - Question and Answer word docs will be converted to html, and to QML.
- urls:
- Validation Meta Data (high is better, low requires attention)
- needs cropping
- needs answer
- marking scheme can be graduated to answer
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