Data-driven artificial intelligence in education: A comprehensive review

K Ahmad, W Iqbal, A El-Hassan, J Qadir… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As education constitutes an essential development standard for individuals and societies,
researchers have been exploring the use of artificial intelligence (AI) in this domain and …

Sentiment analysis in education domain: A systematic literature review

K Mite-Baidal, C Delgado-Vera, E Solís-Avilés… - … on technologies and …, 2018 - Springer
E-learning is the delivery of education through digital or electronic methods allowing
students to acquire new knowledge and develop new skills. E-learning allows students to …

Serious storytelling–a first definition and review

A Lugmayr, E Sutinen, J Suhonen, CI Sedano… - Multimedia tools and …, 2017 - Springer
In human culture, storytelling is a long-established tradition. The reasons people tell stories
are manifold: to entertain, to transfer knowledge between generations, to maintain cultural …

RETRACTED ARTICLE: Sentiment analysis of student feedback using multi-head attention fusion model of word and context embedding for LSTM

K Sangeetha, D Prabha - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Classroom teaching becomes viable and efficient based on increase in participation of the
student. This can be made possible by taking needed measure by finding the emotions of …

Impact of students evaluation of teaching: A text analysis of the teachers qualities by gender

K Okoye, A Arrona-Palacios… - International Journal of …, 2020 - Springer
Today, modern educational models are concerned with the development of the teacher-
student experience and the potential opportunities it presents. User-centric analyses are …

A sentiment analysis system to improve teaching and learning

S Rani, P Kumar - Computer, 2017 - ieeexplore.ieee.org
Natural language processing and machine learning can be applied to student feedback to
help university administrators and teachers address problematic areas in teaching and …

Transfer learning and sentiment analysis of Bahraini dialects sequential text data using multilingual deep learning approach

TM Omran, BT Sharef, C Grosan, Y Li - Data & Knowledge Engineering, 2023 - Elsevier
Sentiment analysis is a crucial Natural Language Processing task to analyze the user's
emotions and opinions towards events, entities, services, or products. Arabic NLP faces …

[PDF][PDF] Random forest approach fo sentiment analysis in indonesian

MA Fauzi - Indones. J. Electr. Eng. Comput. Sci, 2018 - researchgate.net
Sentiment analysis becomes very useful since the rise of social media and online review
website and, thus, the requirement of analyzing their sentiment in an effective and efficient …

Sense: a student performance quantifier using sentiment analysis

J Watkins, M Fabielli, M Mahmud - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Academic feedback is essential in secondary schools to keep a rapport between students,
teachers, and parents and guardians. There are three main factors that contribute towards a …

Emotional Variance Analysis: A new sentiment analysis feature set for Artificial Intelligence and Machine Learning applications

L Tan, OK Tan, CC Sze, WWB Goh - Plos one, 2023 - journals.plos.org
Sentiment Analysis (SA) is a category of data mining techniques that extract latent
representations of affective states within textual corpuses. This has wide ranging …