2021 2nd International Conference on Modern Education and Information Management (ICMEIM 2021)
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Pro. Gordana Kierans

Shenzhen Technology University (SZTU)

Title: Technological Advancements in Indian Education System

Abstract: India is known as one of the world's top education destination in the global education industry. With some of the best universities and colleges India, has been successful in attracting bright talents all over the world. Indian education system is robust and built on strong foundations. According to Indian Brand Equity Foundation Indian education market is currently pegged at $100 billion with higher education contributing to 59.7%, school education at 38.1%, pre-school at 1.6% and the remainder 0.6% consists of technology and multi-media based education. According, to a report released by All India Survey on Higher Education 2018-2019 by Ministry of Human Resource Development the total enrolment in higher education has been estimated to be 37.4 million with 19.2 million male and 18.2 million female. Female constitute 48.6% of the total enrolment. Distance enrolment constitutes about 10.62% of the total enrolment in higher education, of which 44.15% are female students. Availability of broadband and hi-speed internet along with low cost computers to tier 2 and tier 3 cities has made learning seamless without any glitches. There is a need for improvement in higher education so that the knowledge of students, faculties and staff can be improved.  By adopting the latest technologies, we will be able to achieve this. Machine learning brings out the significant progressive changes. Machine Learning is revolutionizing the entire education system and the nation. This is achieved by Adaptive Learning, Predictive analytics, Increasing efficiency, personalized learning, Learning Analytics and accurately grading assignments. The author focus on how the early warning system can be developed for a student who is at risk of graduation by considering the behavioural and other data of students. This work also presents how machine learning helps the faculties to concentrate on each and every student when the class size is very huge, thereby discussing on the data management in the education scenario.


Prof. Jing Nanfei 

Hangzhou Dianzi University, China

Title:  Sharpening Students’ Critical Thinking Skills in English Literature Courses

Professor Jing Nanfei is the director of the Institute of British and American literature of Hangzhou Dianzi University。She has made outstanding achievements in the field of American Jewish literature studies. Her book American Jewish Women Writers, sponsored by the National Social Science Foundation, is the first monograph in China exploring 4 generations of American Jewish women writers and their works. She has written another two books and has published more than 20 academic papers in professional journals such as Contemporary Foreign Literature,  British and American literature Studies and Foreign Languages.

Prof. Zhengshuang Li

Hebei Normal University

Title: New Discovery of Two English Versions of Mao Zedong's Poems by Corpus

 This study attempts to study poetry translation with corpus. Two Chinese translators are selected for research: one is Huang Wen who has returned to Hong Kong after studying abroad, and the other is Nie Hualing who lives in the United States after finishing her education in China. First, the study briefly introduces the two translated versions and states the reasons for selection. Second, it describes the two versions from the aspects of structural arrangement, vocabulary distribution, type token ratio, verses and lines, readability and so on. Third, the lexical and semantic features of the two translations are compared and analyzed with the MRC psycholinguistic database and the TAALES 2.2 tool. Last, the paper interprets the translation strategies adopted by the two Chinese translators in the light of their different social and cultural environments, and further explains the influence of different regions and experiences on their choices based on statistical and text analysis.


Assoc. Prof. Tomozii Elena Simona

Guangdong University of Foreign Studies. School of Business, China