Mohit S

The tutor talked the majority of the time but continuously asked questions at the end of each comment, which kept the learner engaged throughout the whole session. I really liked how the conversation kept going in between you guys with the passionate learner and knowledgable tutor who can tell lot of advices and transfer knowledge.

Tutor · 30 days ago

Mohit was friendly and supportive, creating a relaxed and approachable environment. He acknowledged the learner’s familiarity with Python and encouraged questions throughout the conversation. At times, however, his tone drifted into lecture mode, which made the interaction feel less collaborative. Slightly more encouragement or praise (“That’s a good example,” “Exactly right”) could help reinforce confidence and keep motivation high.

Tutor · 1 mo. ago

Mohit adapted his pacing based on Shreyas's background, choosing not to repeat material he already knew and shifting the conversation toward the learner’s goals (like website development). He was flexible in acknowledging areas like AI/ML and data science, even though they were beyond the current scope. While his explanations showed adaptability, adding clearer transitions and targeted examples for Shreyas’s specific interests (like backend development) would enhance personalization.

Tutor · 1 mo. ago

Mohit invited Shreyas to reflect on his prior experience and encouraged him to share what he remembered from earlier sessions. He made an effort to check which topics were familiar or new. However, after that check-in, the session became more lecture-based, with few follow-up questions or moments where the learner could demonstrate understanding. More interactive moments like asking Shreyas to try writing a comment or summarize a use cas —would deepen engagement.

Tutor · 1 mo. ago