Using a text mining approach to hear voices of customers from social media toward the fast-food restaurant industry

WK Chen, D Riantama, LS Chen - Sustainability, 2020 - mdpi.com
Due to the COVID-19 pandemic, the sales of fast-food businesses have dropped sharply.
Customer satisfaction has always been one of the key factors for the sustainable …

Immersive learning design for technology education: A soft systems methodology

CH Wu, YM Tang, YP Tsang, KY Chau - Frontiers in Psychology, 2021 - frontiersin.org
Science, technology, engineering and mathematics (STEM) education is a globalized trend
of equipping students to facilitate technological and scientific developments. Among STEM …

Diverging hybrid and deep learning models into predicting students' performance in smart learning environments–a review

E Mbunge, S Fashoto, R Mafumbate… - Pan-African Artificial …, 2021 - Springer
COVID-19 continues to overwhelm the education sectors globally posing threats to progress
made towards inclusive and equity education in the previous years. Before COVID-19 …

Clustering analysis for classifying student academic performance in higher education

AF Mohamed Nafuri, NS Sani, NFA Zainudin… - Applied Sciences, 2022 - mdpi.com
There are three income categories for Malaysians: the top 20%(T20), the middle 40%(M40),
and the bottom 40%(B40). The government has extended B40′ s access to higher …

A review of machine learning methods used for educational data

Z Ersozlu, S Taheri, I Koch - Education and Information Technologies, 2024 - Springer
Integrating machine learning (ML) methods in educational research has the potential to
greatly impact upon research, teaching, learning and assessment by enabling personalised …

Understanding self-directed learning behaviors in a computer-aided 3D design context

B Liu, W Gui, T Gao, Y Wu, M Zuo - Computers & Education, 2023 - Elsevier
Self-directed learning (SDL) has been employed in design education to support students'
effective learning and designing. However, it is still unknown how students engage in an …

An efficient artificial intelligence-based educational data mining approach for higher education and early recognition system

BT Sayed, M Madanan, N Biju - SN Computer Science, 2022 - Springer
Abstract The Levy Flight Rock Hyraxes Swarm Optimization (RHSO)-based Recurrent
Neural Network (LFRHSO-RNN) was proposed which EDM identifies the students' …

Educational data mining using cluster analysis methods and decision trees based on log mining

SN Safitri, H Setiadi, E Suryani - Jurnal RESTI (Rekayasa Sistem …, 2022 - jurnal.iaii.or.id
Abstract Educational Data Mining (EDM) often appears to be applied in big data processing
in the education sector. One of the educational data that can be further processed with EDM …

A data analytic-based logistics modelling framework for E-commerce enterprise

A Verma, YH Kuo, MM Kumar, S Pratap… - Enterprise Information …, 2023 - Taylor & Francis
Data-driven approaches have noteworthy significance in managing and improving logistics
in E-commerce enterprises. This study focuses on the development of an integrated …

[PDF][PDF] Data mining and visualisation of basic educational resources for quality education

F Inusah, YM Missah, U Najim… - International Journal of …, 2022 - researchgate.net
With an increase in educational resources for the growing population, data for Basic
Education (BE) is becoming larger, requiring technical data tools to analyze and interpret …