Vonic’s AI powered Math assistant evaluates open-ended answers
Students attempt the answer in an open-ended natural way
Vonic instantly analyzes the students' response and detects the mistakes made by the students.
AI powered assistant guides the students towards the right answers
Vonic provides detailed feedback to teachers about the progress of individual students
Math teachers spend 40% of their time on homework assessment.
Teachers cite homework workload as a leading cause of burnout.
Lack of personal attention.
Manually evaluating hundreds of submitted answers means less time for personal attention to those who need it the most - your students.
Manual evaluation of 100s of submitted answers.
Teachers' burn-out leads to diminishing capacity to focus on teaching Mathematics concepts. Repetitively assessing similar problems means that errors may creep in while evaluating answers.
MCQs provide incomplete insights.
MCQs are blunt tools, which force the educators to fit Math questions into un-natural format, hamper systematic problem solving, encourage students to solve by guesswork and provide limited feedback to teachers and students.
Homework can be evaluated only once.
Due to extreme time pressure teachers can track homework for limited periods only. Error correction and continous progress by students is difficult to track. Moreover, delayed assessment means that feedback to students is less impactful as the student has lost context.
Try a few of our sample questions.
MCQs hamper Mathematical reasoning and problem solving skills
MCQs provide incomplete insights
Students and teachers get limited feedback on the progress
Need to solve dozens of similar problems to judge student's abilities accurately.
MCQs are blunt tools which encourage guesswork
Discourage problem solving
Do not encourage students to solve a problem methodically
Hamper systematic thinking
MCQs train stdudents to guess the answers, rather that solve them step-by-step
Math questions are force-fitted into artificial multiple-choice formats
Concept level insights are not possible.