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Autism spectrum disorder (ASD) is associated with significant social, communication, and behavioral challenges. The insufficient number of trained clinicians coupled with limited accessibility to quick and accurate diagnostic tools resulted in overlooking early symptoms of ASD in children around the world. Several studies have utilized behavioral data in developing and evaluating the performance of machine learning (ML) models toward quick and intelligent ASD assessment systems. However, despite the good evaluation metrics achieved by the ML models, there is not enough evidence on the readiness of the models for clinical use. Specifically, none of the existing studies reported the real-life application of the ML-based models. This might be related to numerous challenges associated with the data-centric techniques utilized and their misalignment with the conceptual basis upon which professionals diagnose ASD. The present work systematically reviewed recent articles on the application of ML in the behavioral assessment of ASD, and highlighted common challenges in the studies, and proposed vital considerations for real-life implementation of ML-based ASD screening and diagnostic systems. This review will serve as a guide for researchers, neuropsychiatrists, psychologists, and relevant stakeholders on the advances in ASD screening and diagnosis using ML.
Nadire Cavus; Abdulmalik Lawan; Zurki Ibrahim; Abdullahi Dahiru; Sadiya Tahir; Usama Abdulrazak; Adamu Hussaini. A Systematic Literature Review on the Application of Machine-Learning Models in Behavioral Assessment of Autism Spectrum Disorder. Journal of Personalized Medicine 2021, 11, 299 .
AMA StyleNadire Cavus, Abdulmalik Lawan, Zurki Ibrahim, Abdullahi Dahiru, Sadiya Tahir, Usama Abdulrazak, Adamu Hussaini. A Systematic Literature Review on the Application of Machine-Learning Models in Behavioral Assessment of Autism Spectrum Disorder. Journal of Personalized Medicine. 2021; 11 (4):299.
Chicago/Turabian StyleNadire Cavus; Abdulmalik Lawan; Zurki Ibrahim; Abdullahi Dahiru; Sadiya Tahir; Usama Abdulrazak; Adamu Hussaini. 2021. "A Systematic Literature Review on the Application of Machine-Learning Models in Behavioral Assessment of Autism Spectrum Disorder." Journal of Personalized Medicine 11, no. 4: 299.
The sudden advent of the COVID-19 pandemic and the associated containment measures require educational institutions of all sizes to adopt eLearning as the only option for sustainable education. Despite the numerous Learning Management Systems, the rapid migration to eLearning posed numerous challenges that negatively affect the effectiveness and sustainability of the educational activities. The current study systematically reviewed recent articles that recognized the value and feasibility of using Social Networking Sites (SNSs) in education. The study highlighted the current eLearning challenges and illustrated effective strategies for the sustainable educational use of SNSs by both institutions, teachers, and students. Thus, solutions to the problems experienced in education during the COVID-19 period were highlighted based on SNS-supported strategies.
Nadire Cavus; Abdullahi Sani; Yusuf Haruna; Abdulmalik Lawan. Efficacy of Social Networking Sites for Sustainable Education in the Era of COVID-19: A Systematic Review. Sustainability 2021, 13, 808 .
AMA StyleNadire Cavus, Abdullahi Sani, Yusuf Haruna, Abdulmalik Lawan. Efficacy of Social Networking Sites for Sustainable Education in the Era of COVID-19: A Systematic Review. Sustainability. 2021; 13 (2):808.
Chicago/Turabian StyleNadire Cavus; Abdullahi Sani; Yusuf Haruna; Abdulmalik Lawan. 2021. "Efficacy of Social Networking Sites for Sustainable Education in the Era of COVID-19: A Systematic Review." Sustainability 13, no. 2: 808.
Problem-solving skills are paramount to university students while learning programming languages. Many researchers have identified a lack of problem-solving skills among university students across various disciplines, but little is known on how certain subjects could ease the acquisition of these skills and vice versa. Educational researchers should focus on exploring the role problem-solving skills could play in preparing students toward standard approaches to learning programming languages. This paper provides an understanding of the difficulties faced by university students while learning programming language using problem-solving skills. The questionnaire used in the study has 32 items categorized into four dimensions of Analysis, Design, Coding and Testing. Data were collected randomly from 113 voluntary participants from Information Technology and Engineering Departments of Near East University, Cyprus. Statistical analysis applied to the data revealed a significant correlation between all the dimensions and existence of a level of difficulties above average on all the dimensions. This research will augment related literary findings and help academicians situate the best practices in teaching problem-solving skills as well as a programming language.
Abdulmalik Ahmad Lawan; Abdo Sulaiman Abdi; Anas Ahmad Abuhassan; Mohammed Salim Khalid. What is Difficult in Learning Programming Language Based on Problem-Solving Skills? 2019 International Conference on Advanced Science and Engineering (ICOASE) 2019, 18 -22.
AMA StyleAbdulmalik Ahmad Lawan, Abdo Sulaiman Abdi, Anas Ahmad Abuhassan, Mohammed Salim Khalid. What is Difficult in Learning Programming Language Based on Problem-Solving Skills? 2019 International Conference on Advanced Science and Engineering (ICOASE). 2019; ():18-22.
Chicago/Turabian StyleAbdulmalik Ahmad Lawan; Abdo Sulaiman Abdi; Anas Ahmad Abuhassan; Mohammed Salim Khalid. 2019. "What is Difficult in Learning Programming Language Based on Problem-Solving Skills?" 2019 International Conference on Advanced Science and Engineering (ICOASE) , no. : 18-22.
Abubakar Zakari; Abdulmalik Ahmad Lawan; Girish Bekaroo; Peter Fleming; Nalinaksh Vyas; Saeid Sanei; Kalyanmoy Deb. Towards Improving the Security of Low-Interaction Honeypots: Insights from a Comparative Analysis. Lecture Notes in Electrical Engineering 2017, 416, 314 -321.
AMA StyleAbubakar Zakari, Abdulmalik Ahmad Lawan, Girish Bekaroo, Peter Fleming, Nalinaksh Vyas, Saeid Sanei, Kalyanmoy Deb. Towards Improving the Security of Low-Interaction Honeypots: Insights from a Comparative Analysis. Lecture Notes in Electrical Engineering. 2017; 416 ():314-321.
Chicago/Turabian StyleAbubakar Zakari; Abdulmalik Ahmad Lawan; Girish Bekaroo; Peter Fleming; Nalinaksh Vyas; Saeid Sanei; Kalyanmoy Deb. 2017. "Towards Improving the Security of Low-Interaction Honeypots: Insights from a Comparative Analysis." Lecture Notes in Electrical Engineering 416, no. : 314-321.
Requirement elicitation is one of the most important activities in requirement engineering and allocating limited amount of time in this activity is considered to significantly contribute towards failure of software projects. Having quality requirements is also greatly influenced by the techniques utilized during requirement elicitation process. The adoption of a single requirement elicitation technique within software development projects has various drawbacks. As solution, hybrid techniques are being considered as the way towards comprehensive requirements engineering. This paper investigates the hybrid requirement elicitation technique to tackle the challenges developers are facing in the process of software development. In this paper, the combination of 3 requirement elicitation techniques, namely use of questionnaire, interview and prototyping in a unified framework is investigated during the implementation of an online educational system.
Abubakar Zakari; Abdulmalik Ahmad Lawan; Girish Bekaroo. A Hybrid Three-Phased Approach in Requirement Elicitation. Lecture Notes in Electrical Engineering 2017, 331 -340.
AMA StyleAbubakar Zakari, Abdulmalik Ahmad Lawan, Girish Bekaroo. A Hybrid Three-Phased Approach in Requirement Elicitation. Lecture Notes in Electrical Engineering. 2017; ():331-340.
Chicago/Turabian StyleAbubakar Zakari; Abdulmalik Ahmad Lawan; Girish Bekaroo. 2017. "A Hybrid Three-Phased Approach in Requirement Elicitation." Lecture Notes in Electrical Engineering , no. : 331-340.