Mohammed Al Jaffal^*

International Journal of Mental Health Promotion, Vol.25, No.8, pp. 881-890, 2023, DOI:10.32604/ijmhp.2023.028982 - 06 July 2023

Abstract Many individuals with autism spectrum disorder (ASD) experience delays in the development of social and communications skills, which can limit their opportunities in higher education and employment resulting in an overall negative impact to their quality of life. This systematic review identifies 15 studies that explored the effectiveness of Video-Based Interventions (VBIs) for those with ASD during the critical years of adolescence and young adulthood. The 15 studies described herein found this to be an effective intervention for this population for the improvement of their vocational, daily living, and academic skills. In addition, VBIs allow… More >

Jing Geng^1,*, Huali Yang², Shengze Hu³

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1311-1324, 2023, DOI:10.32604/iasc.2023.038481 - 21 June 2023

Abstract Educational data mining based on student cognitive diagnosis analysis can provide an important decision basis for personalized learning tutoring of students, which has attracted extensive attention from scholars at home and abroad and has made a series of important research progress. To this end, we propose a noise-filtering enhanced deep cognitive diagnosis method to improve the fitting ability of traditional models and obtain students’ skill mastery status by mining the interaction between students and problems nonlinearly through neural networks. First, modeling complex interactions between students and problems with multidimensional features based on cognitive processing theory More >

Ali Derakhshan¹, Yongliang Wang^2,*, Yongxiang Wang^2,*, José Luis Ortega-Martín³

International Journal of Mental Health Promotion, Vol.25, No.7, pp. 823-832, 2023, DOI:10.32604/ijmhp.2023.029877 - 01 June 2023

Abstract The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process. Simply said, emotional factors play a key role in improving the quality of language teaching and learning. Furthermore, these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition. In view of the favorable impact of emotional factors on the mental health of language teachers and learners, many educational scholars around the world have studied these factors, their background, and their pedagogical consequences. Nonetheless,… More >

Yingfeng Wang^*

International Journal of Mental Health Promotion, Vol.25, No.6, pp. 735-754, 2023, DOI:10.32604/ijmhp.2023.026440 - 06 May 2023

Abstract A healthy psychological state is the premise for children to carry out various activities. Previous surveys have shown that children with special needs are affected by their own obstacles and are more prone to psychological problems such as sensitivity, low self-esteem, and impulsiveness. Therefore, it is necessary to provide more systematic mental health education support for special children. Mental health education programs are an efficient form of maintaining children’s mental health. However, in the field of special education, the number of mental health education courses developed according to the physical and mental characteristics and developmental… More >

Hasan Han¹, Oguzcan Karadeniz¹, Tugba Dalyan^2,*, Elena Battini Sonmez², Baykal Sarioglu¹

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1209-1224, 2023, DOI:10.32604/iasc.2023.030674 - 29 April 2023

Abstract Robot companions will soon be part of our everyday life and students in the engineering faculty must be trained to design, build, and interact with them. The two affordable robots presented in this paper have been designed and constructed by two undergraduate students; one artificial agent is based on the Nvidia Jetson Nano development board and the other one on a remote computer system. Moreover, the robots have been refined with an empathetic system, to make them more user-friendly. Since automatic facial expression recognition skills is a necessary pre-processing step for acknowledging emotions, this paper More >

Bin Zhang^*

International Journal of Mental Health Promotion, Vol.25, No.5, pp. 655-671, 2023, DOI:10.32604/ijmhp.2023.025913 - 28 April 2023

Abstract In the face of fierce competition in the social environment, mental health problems gradually get the attention of the public, in order to achieve accurate mental health data analysis, the construction of music education is based on emotional tendency analysis of psychological adjustment function model. Design emotional tendency analysis of music education psychological adjustment function architecture, music teaching goal as psychological adjustment function architecture building orientation, music teaching content as a foundation for psychological adjustment function architecture and music teaching process as a psychological adjustment function architecture building, music teaching evaluation as the key of… More >

Osama A. Khashan^1,*, Sultan Alamri², Waleed Alomoush³, Mutasem K. Alsmadi⁴, Samer Atawneh², Usama Mir⁵

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3133-3158, 2023, DOI:10.32604/cmc.2023.036217 - 31 March 2023

Abstract In recent times, technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners. Integrating the Internet of Things (IoT) into education can facilitate the teaching and learning process and expand the context in which students learn. Nevertheless, learning data is very sensitive and must be protected when transmitted over the network or stored in data centers. Moreover, the identity and the authenticity of interacting students, instructors, and staff need to be verified to mitigate the impact of attacks. However, most of the current security and… More >

Samah Alhazmi^1,*, Shahnawaz Khan², Mohammad Haider Syed¹

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3487-3499, 2023, DOI:10.32604/iasc.2023.036297 - 15 March 2023

Abstract Quality education is one of the primary objectives of any nation-building strategy and is one of the seventeen Sustainable Development Goals (SDGs) by the United Nations. To provide quality education, delivering top-quality content is not enough. However, understanding the learners’ emotions during the learning process is equally important. However, most of this research work uses general data accessed from Twitter or other publicly available databases. These databases are generally not an ideal representation of the actual learning process and the learners’ sentiments about the learning process. This research has collected real data from the learners, More >

Ierin Babu^1,*, R. MathuSoothana², S. Kumar²

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3621-3636, 2023, DOI:10.32604/iasc.2023.033791 - 15 March 2023

Abstract Educational Data Mining (EDM) is an emergent discipline that concentrates on the design of self-learning and adaptive approaches. Higher education institutions have started to utilize analytical tools to improve students’ grades and retention. Prediction of students’ performance is a difficult process owing to the massive quantity of educational data. Therefore, Artificial Intelligence (AI) techniques can be used for educational data mining in a big data environment. At the same time, in EDM, the feature selection process becomes necessary in creation of feature subsets. Since the feature selection performance affects the predictive performance of any model,… More >

P. Prabhu¹, P. Valarmathie^2,*, K. Dinakaran³

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2989-3005, 2023, DOI:10.32604/iasc.2023.028659 - 15 March 2023

Abstract Supportive learning plays a substantial role in providing a quality education system. The evaluation of students’ performance impacts their deeper insight into the subject knowledge. Specifically, it is essential to maintain the baseline foundation for building a broader understanding of their careers. This research concentrates on establishing the students’ knowledge relationship even in reduced samples. Here, Synthetic Minority Oversampling TEchnique (SMOTE) technique is used for pre-processing the missing value in the provided input dataset to enhance the prediction accuracy. When the initial processing is not done substantially, it leads to misleading prediction accuracy. This research… More >