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Багш ажилтан
Coding has become a fundamental skill for cultivating computational thinking in young learners. This study aims to examine the impact of coding education on the programming interest among fifth-grade students with no prior coding experience in Mongolia. A 16-week pilot course using block-based coding activities on Code.org involved 195 students in the 5th grade across three schools. A pre-test/post-test design compared an experimental group (n=95) with a control group (n=100). Results indicate significant improvements in coding skills (Cohen’s d = 0.84) and computational thinking, with average programming skill ratings increasing from 5.19 to 7.07 out of 10. Qualitative data show heightened engagement, perceived creativity, and motivation, with students describing coding as “fun” and “like playing games.” Moreover, post-intervention interviews reveal emerging awareness of gender inclusivity in programming. These findings suggest that structured block-based coding can effectively enhance computational thinking and interest in programming among young learners, providing evidence to support early integration of programming in primary education curricula.
GitHub нь программ хангамж хөгжүүлэх салбарын хамгйй н алдартай кодын хувйлбар удйрдлагын платформ бөгөөд хөгжүүлэгчдэд программ хангамж хөгжүүлэх төслйй г удйрдах, бйе бйетэй гээ хамтран ажйллах боломжйй г олгодог. Сүүлйй н үед Github Classroom нээгдэж багш нар GitHub-йй г сургалтын үй л ажйллагааг автоматжуулах хэрэгсэл болгон ашйглаж йрсэн. Энэ нь программчлалын сургалтад кодыг бай ршуулах, оюутны даалгаврыг удйрдах, даалгаврыг тодорхой загвар ашйглан хйй х, автоматаар үр дүнг шалгах зэрэг олон давуу талыг ашйгласан командуудтай бөгөөд багш нарын ажлыг хялбарчлах, кодын сан үүсгэхэд маш сай н шйй дэл болж бай гаа бйлээ. Энэхүү өгүүлэлд бйд GitHub Classroom болон Bookwidget сйстемүүдээр дэмжйн хэрхэн программчлалын хйчээлд ашйгласан талаарх бай длын үр ашйгтай болон бэрхшээлтэй талуудыг харуулахыг зорйлоо
We introduce a secure messenger application designed to ensure end-to-end security for its users. Our focus lies in proposing a robust end-to-end encryption protocol, based on the Signal Protocol, thereby guaranteeing secure communication for instant messaging. Leveraging cutting-edge technologies including Next.js, GraphQL, and Node.js, our messenger application offers users a seamless and secure communication experience.
Finding highly similar regions of genomic sequences is a basic computation of genomic analysis. Genomic analyses on a large amount of data are efficiently processed in cloud environments, but outsourcing them to a cloud raises concerns over the privacy and security issues. Homomorphic encryption (HE) is a powerful cryptographic primitive that preserves privacy of genomic data in various analyses processed in an untrusted cloud environment. We introduce an efficient algorithm for finding highly similar regions of two homomorphically encrypted sequences, and describe how to implement it using the bit-wise and word-wise HE schemes. In the experiment, our algorithm outperforms an existing algorithm by up to two orders of magnitude in terms of elapsed time. Overall, it finds highly similar regions of the sequences in real data sets in a feasible time.
