

BM profile and their contact details have been verified by our experts
BM
- Rate ₹5,186
- Response 1h

₹5,186/hr
1st class free
- Information Technology
PhD Student Nuclear Science with > 400 sessions successfully delivered teaches A-Level and GCSE Computer Science across exam boards.
- Information Technology
Class location
About BM
As a PhD Student in Nuclear Science and a Certified Data Scientist, I love the learning process. Many students come to me simply to rapidly improve their grades, which is certainly a worthwhile goal. However, I take great pleasure in helping students to begin to truly enjoy computer science.
About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +15
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Adult Literacy
Undergraduate
Masters
PG Diploma
PhD
MBA
Kindergarten (LKG, UKG)
Beginner
Intermediate
Advanced
Professional
Children
- English
All languages in which the class is available :
English
My approach is simple, based on modern research on what activities best predict academic performance, as cited below. I have taken multiple students at GCSE and A-Level from below a passing grade to above an A/8. Across platforms I have a 100% 5 Star Rating, with over 400 sessions delivered for all major exam boards. My approach is to assign significantly more work than most tutors, which I then mark and provide high-quality feedback on leading to continual improvement week on week. The research cited below indicates that all other things being equal, the most effective thing a student can do, although not the easiest, is high volume high-quality practice with precise feedback. (Dunlosky et al., 2013) (Roediger & Karpicke, 2006) (Burk-Rafel et al., 2017)
Rates
Rate
- ₹5,186
Pack prices
- 5h: ₹25,931
- 10h: ₹51,862
online
- ₹5,186/hr
free classes
This first free class with BM will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
Details
Significant discounts available for group sessions, highly recommended for best value-for-money.
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