Hybrid SEM-ANN model for predicting undergraduates' e-learning continuance intention based on perceived educational and emotional support. by Shanshan Xu, Yangxin Wang, Wenbo Luo

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Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN by Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto

“…This research investigates the relevance of hybrid learning methods in the post-pandemic education context using structural equation modeling (SEM) and deep neural network (DNN) approaches. …”
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Dual-Path Model of Team Communication and Shared Mental Models in Entrepreneurial Education: Enhancing Team Efficacy in Higher Education Using PLS-SEM by Shuangshuang Fan, Shali Wang, William Mbanyele, Yongliang Zhang

“…This study explores the influence of team communication (TC) and shared mental models (SMMs) on entrepreneurial team efficacy (ETE) within the context of Chinese higher education, introducing a dual-path model to reconcile the discrepancy between policy expectations and practical outcomes in entrepreneurship education. …”
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Factors predicting the mathematics anxiety of adolescents: a structural equation modeling approach by Suman Ahmmed, Jashodhan Saha, Maruf Ahmed Tamal, Khondaker Abdullah Al Mamun, Sajani Islam

“…Later, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).ResultsThe findings revealed that math related negative past experiences (β = 0.241, t = 4.914, p < 0.001) and a perceived lack of teacher support (β = 0.234, t = 5.440, p < 0.001) significantly contribute to students’ low self-efficacy in mathematics. …”
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Predicting College Student Engagement in Physical Education Classes Using Machine Learning and Structural Equation Modeling by Liguo Zhang, Jiarui Gao, Liangyu Zhao, Zetan Liu, Anlin Guan

“…This study aims to develop an interpretable machine learning model to predict student classroom engagement based on various digital technologies and construct a structural equation model (SEM) to further investigate the underlying mechanisms involving perceived usefulness (PU), perceived ease of use (PEU), and academic self-efficacy (ASE). …”
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MonteCarloSEM: An R Package to Simulate Data for SEM by Fatih Orçan

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Factors Influencing the Acceptance of ChatGPT in High Education: An Integrated Model With PLS-SEM and fsQCA Approach by Yipeng Zhao, Yan Li, Yuyao Xiao, Haodong Chang, Bo Liu

“…This paper aims to clarify the determinants influencing college students’ acceptance of ChatGPT and to facilitate its widespread adoption in higher education. To achieve this, we integrate the Technology Readiness Index (TRI), Technology Acceptance Model (TAM), and Theory of Planned Behavior (TPB) to develop a novel research framework. …”
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Understanding AI adoption among secondary education teachers: A pls-sem approach by Marta López-Costa, Belén Donate-Beby, Natividad Cabrera-Lanzo, Marcelo Fabián Maina

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Factors Influencing Students’ Performance in University Mathematics Courses: A Structural Equation Modelling Approach by Moeketsi Mosia, Felix O. Egara, Fadip A. Nannim, Moses Basitere

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Mechanism and Multilayer Perceptron prediction model of the removal of α-terpineol, terpinen-4-ol and carvone from pasteurized citrus juices by β-cyclodextrin encapsulation by Ruijie Mai, Shuo Xue, Jingnan Ren, Gang Fan, Jinchu Yang, Linhua Huang, Guijie Li, Yujiao Cheng, Qiuling Wang, Yongfeng Yang, Zhenzhen Huang, Yingjie Feng, Wenzhao Liu, Aiqun Yu, Jian Feng

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SPATIALLY INFORMED INSIGHTS: MODELING PERCENTAGE POVERTY IN EAST JAVA PROVINCE USING SEM WITH SPATIAL WEIGHT VARIATIONS by Ashabul Akbar Maulana, Achmad Fauzan

“…The optimal predictive model utilized is the Spatial Error Model (SEM) incorporating a Distance Band Weighing (DBW) mechanism with a designated maximum distance ( ) of 75000 meters. …”
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Digital skills and digital citizenship education: An analysis based on structural equation modeling by Olger Gutiérrez-Aguilar, Osbaldo Turpo-Gebera, Sandra Chicaña-Huanca, Kevin Mario Laura-De La Cruz, Gerber Pérez-Postigo, Rocio Diaz Zavala, Ingrid Osorio Ccoya

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Habit Predicting Higher Education EFL Students’ Intention and Use of AI: A Nexus of UTAUT-2 Model and Metacognition Theory by Shaista Rashid

“…Another step taken to ensure generalizability was the sampling of 611 students randomly from both undergraduate (BS and ADP) and postgraduate (MPhil and PhD) programs studying in different semesters. PLS-SEM was employed for data analysis. In the first step, the PLS algorithm was run for the measurement model, which confirmed the reliability, validity, and fitness of the model. …”
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Large language models and GenAI in education: Insights from Nigerian in-service teachers through a hybrid ANN-PLS-SEM approach [version 1; peer review: 2 approved] by Kayode A. Adewale, Kabir Oluwatobi Idowu, Stella Oluwakemi Olatunbosun, Nurudeen Babatunde Bamiro, Owolabi Paul Adelana, Musa Adekunle Ayanwale

“…Despite the growing research on AI adoption, limited studies focus on developing regions, leaving a critical gap in understanding how educators perceive and adopt these technologies. Methods We adopted a hybrid approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Networks (ANN) to uncover both linear and nonlinear dynamics influencing behavioral intention (BI) of 260 Nigerian in-service teachers regarding ChatGPT after participating in structured training. …”
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Exploring the nexus of education finance, governance, and sustainability in Somalia’s post-conflict education sector: a structural equation modeling analysis by Mohamed Ibrahim Nor

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Linking e-leadership to innovative and proactive work behaviors in tourism higher education institutions: a moderated mediation model using SEM by Heba Said, Noha Ahmed Kamel

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SEM-Net: A Social–Emotional Music Classification Model for Emotion Regulation and Music Literacy in Individuals with Special Needs by Yu-Chi Chou, Shan-Ken Chien, Pen-Chiang Chao, Yuan-Jin Lin, Chih-Yun Chen, Kuang-Kai Yeh, Yen-Chia Peng, Chen-Hao Tsao, Shih-Lun Chen, Kuo-Chen Li

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Key factors of educational CRM success and institution performance: A SEM analysis by Ade Octavia, Della Raymena Jovanka, Turki Mesfer Alqahtani, Tommy Tanu Wijaya, Akhmad Habibi

“…Partial least squares structural equation modeling (PLS-SEM) procedures were used to examine the hypotheses. …”
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A structural equation modeling of predictive factors of mathematics undergraduates academic achievement by Oluwanife Segun Falebita, Akorede A. Asanre, Admire Chibisa

“…In this study, we assess the factors that predict the academic achievement of mathematics undergraduates through structural equation model (SEM).MethodsA survey was conducted with a sample of 411 randomly selected undergraduates from the Department of Mathematics in public universities in Southwestern Nigeria who were studying mathematical science or mathematics education. …”
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Gravitating towards blockchain in sustainable higher education: a hybrid SEM-ANN technique by Rasheda Akter Rupa, Afrin Sultana, Farjana Nasrin, Abu Naser Mohammad Saif, Md. Nahin Hossain, Hamida Akhter

“…Abstract The current study investigates the determinants affecting users’ intention to adopt blockchain technology in higher educational institutions (HEIs) through structural equation modeling (SEM), Artificial Neural Network, and the extended UTAUT2 model. …”
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