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Chaudhry Muhammad Nadeem Faisal received BS degree in Information Technology from AIOU, Pakistan in 2005, MS degree in Computer Science from Blekinge Institute of Technology, Sweden in 2009, and Ph.D. in Computer Engineering from the University of Oviedo, Spain, in 2017. He is now working as assistant professor in the Department of Computer Science, National Textile University, Faisalabad, Pakistan. His research interests include cognitive ergonomics, web-accessibility, and usability evaluation of industrial systems.
Online learning is the most widely used application in educational institutions, particularly during the pandemic (COVID-19). However, shortcomings in online learning systems negatively impact learner’s attitudes and intention to use. Especially poor interface design can increase the cognitive load that ultimately affects the learner’s intention to use. The design aspects that could be convenient, useful, and trustworthy in an online learning context are an emerging challenge and the primary purpose behind this study. So, in current research, the effect of different design aspects or attributes (i.e., interactivity, information, navigation, and visual) have been examined on learners’ cognitive beliefs (i.e., ease of use and usefulness), trust, and ultimately intention to use. The proposed model was used to determine the learner’s intention to use via trust, cognitive beliefs, and design aspects. Data was collected from the students at different Universities in Punjab, Pakistan, using a questionnaire embedded in an online learning prototype. PLS-SEM method was employed for analysis using the SmartPLS tool. The findings show that among the used design attributes, interaction, information, and visual design significantly influence the learner’s cognitive beliefs, where navigation partially influences the cognitive beliefs. Furthermore, both cognitive beliefs (i.e., ease of use and usefulness) were observed to be strong determinants of trust. This study importantly contributes to the e-learning domain by providing a comprehensive understanding of learners’ perceptions and experiences related to interface design that leads to intention to use.
Aisha Younas; C. M. Nadeem Faisal; Muhammad Asif Habib; Rehan Ashraf; Mudassar Ahmad. Role of Design Attributes to Determine the Intention to use Online Learning via Cognitive Beliefs. IEEE Access 2021, 9, 1 -1.
AMA StyleAisha Younas, C. M. Nadeem Faisal, Muhammad Asif Habib, Rehan Ashraf, Mudassar Ahmad. Role of Design Attributes to Determine the Intention to use Online Learning via Cognitive Beliefs. IEEE Access. 2021; 9 ():1-1.
Chicago/Turabian StyleAisha Younas; C. M. Nadeem Faisal; Muhammad Asif Habib; Rehan Ashraf; Mudassar Ahmad. 2021. "Role of Design Attributes to Determine the Intention to use Online Learning via Cognitive Beliefs." IEEE Access 9, no. : 1-1.
In the digital era, technology innovation and adoption trigger economic growth and enhance CO2 emissions through productivity, which places it in the mainstream policy debate. For BRICS economies, this paper uses the first method proposed in the literature to quantify their information and communication technology (ICT) and innovatively links each country to their information technology adoption rate, as a surrogate indicator for measuring information and communication technology. Environmental Kuznets curve evidence is also examined, using technology innovation, technology adoption, and trade openness as the control variables for sustainable development. The results show that two out of three technology innovation instruments, fixed telephone, and broadband subscriptions increase CO2 emissions. Simultaneously, mobile cellular subscriptions have a lowering effect on CO2 emission in BRICS. The technology adoption indicators, high-technology exports, and electric power consumption also cause an upsurge in CO2 emission. Moreover, trade openness also enriches the level of CO2 emission in the BRICS regions. There is a need to devise technology innovation and adoption policies to better use technology and to ensure a green environment.
Chi-Wei Su; Yannong Xie; Sadaf Shahab; Ch. Muhammad Nadeem Faisal; Muhammad Hafeez; Ghulam Muhammad Qamri. Towards Achieving Sustainable Development: Role of Technology Innovation, Technology Adoption and CO2 Emission for BRICS. International Journal of Environmental Research and Public Health 2021, 18, 277 .
AMA StyleChi-Wei Su, Yannong Xie, Sadaf Shahab, Ch. Muhammad Nadeem Faisal, Muhammad Hafeez, Ghulam Muhammad Qamri. Towards Achieving Sustainable Development: Role of Technology Innovation, Technology Adoption and CO2 Emission for BRICS. International Journal of Environmental Research and Public Health. 2021; 18 (1):277.
Chicago/Turabian StyleChi-Wei Su; Yannong Xie; Sadaf Shahab; Ch. Muhammad Nadeem Faisal; Muhammad Hafeez; Ghulam Muhammad Qamri. 2021. "Towards Achieving Sustainable Development: Role of Technology Innovation, Technology Adoption and CO2 Emission for BRICS." International Journal of Environmental Research and Public Health 18, no. 1: 277.
Attention Deficit Hyperactivity Disorder (ADHD) is the most common mental disorder in children. Commonly children with ADHD are treated through stimulant drugs that can be dangerous. Also, behavioral therapy sessions are carried out to help ADHD. No doubt it is useful for children, but these are hectic and expensive as well. Smartphone and tablet applications are widely used in healthcare and educational context. The objective of this study is to heighten the learnability of ADHD children using tablet apps. The developed app will provide endless opportunities for ADHD children. The objective is to help ADHD children in their learning activities via a friendly and interactive environment. The investigation is conducted by employing the proposed app using a sample of five children with ADHD to assess the applicability. A survey is conducted from the parents and caregivers of these children to measure the level of satisfaction and acceptance for learning content. The result demonstrates that the app is interesting, engaging, and improves learnability. Lastly, parents are satisfied and appreciated the design and functionality of “Say-it and learn.”
Sabeel Butt; Fazal E. Hannan; Mujahid Rafiq; Ibrar Hussain; C. M. Nadeem Faisal; Waleed Younas. Say-It & Learn: Interactive Application for Children with ADHD. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 213 -223.
AMA StyleSabeel Butt, Fazal E. Hannan, Mujahid Rafiq, Ibrar Hussain, C. M. Nadeem Faisal, Waleed Younas. Say-It & Learn: Interactive Application for Children with ADHD. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():213-223.
Chicago/Turabian StyleSabeel Butt; Fazal E. Hannan; Mujahid Rafiq; Ibrar Hussain; C. M. Nadeem Faisal; Waleed Younas. 2020. "Say-It & Learn: Interactive Application for Children with ADHD." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 213-223.
PurposeThis study examines the effect of design quality (i.e. appearance, navigation, information and interactivity) on cognitive and affective involvement leading to continued intention to use the online learning application.Design/methodology/approachWe assume that design quality potentially contributes to enhance the individual's involvement and excitement. An experimental prototype is developed for collecting data used to verify and validate the proposed research model and hypotheses. A partial-least-squares approach is used to analyze the data collected from the participants (n = 662).FindingsCommunication, aesthetic and information quality revealed to be strong determinants of both cognitive and affective involvement. However, font quality and user control positively influence cognitive involvement, while navigation quality and responsiveness were observed as significant indicators of affective involvement. Lastly, cognitive and affective involvement equally contribute to determining the continued intention to use.Research limitations/implicationsThis study will draw the attention of designers and practitioners towards the perception of users for providing appropriate and engaging learning resources.Originality/valuePrevalent research in the online context is focused primarily on cognitive and utilization behavior. However, these works overlook the implication of design quality on cognitive and affective involvement.
Chaudhry Muhammad Nadeem Faisal; Daniel Fernandez-Lanvin; Javier De Andrés; Martin Gonzalez-Rodriguez. Design quality in building behavioral intention through affective and cognitive involvement for e-learning on smartphones. Internet Research 2020, 30, 1631 -1663.
AMA StyleChaudhry Muhammad Nadeem Faisal, Daniel Fernandez-Lanvin, Javier De Andrés, Martin Gonzalez-Rodriguez. Design quality in building behavioral intention through affective and cognitive involvement for e-learning on smartphones. Internet Research. 2020; 30 (6):1631-1663.
Chicago/Turabian StyleChaudhry Muhammad Nadeem Faisal; Daniel Fernandez-Lanvin; Javier De Andrés; Martin Gonzalez-Rodriguez. 2020. "Design quality in building behavioral intention through affective and cognitive involvement for e-learning on smartphones." Internet Research 30, no. 6: 1631-1663.
Sparseness is the distinctive aspect of big data generated by numerous applications at present. Furthermore, several similar records exist in real-world sparse datasets. Based on Iterative Trimmed Transaction Lattice (ITTL), the recently proposed TRICE algorithm learns frequent itemsets efficiently from sparse datasets. TRICE stores alike transactions once, and eliminates the infrequent part of each distinct transaction afterward. However, removing the infrequent part of two or more distinct transactions may result in similar trimmed transactions. TRICE repeatedly generates ITTLs of similar trimmed transactions that induce redundant computations and eventually, affects the runtime efficiency. This paper presents D-GENE, a technique that optimizes TRICE by introducing a deferred ITTL generation mechanism. D-GENE suspends the process of ITTL generation till the completion of transaction pruning phase. The deferral strategy enables D-GENE to generate ITTLs of similar trimmed transactions once. Experimental results show that by avoiding the redundant computations, D-GENE gets better runtime efficiency. D-GENE beats TRICE, FP-growth, and optimized versions of SaM and RElim algorithms comprehensively, especially when the difference between distinct transactions and distinct trimmed transactions is high.
Muhammad Yasir; Muhammad Asif Habib; Muhammad Ashraf; Shahzad Sarwar; Muhammad Umar Chaudhry; Hamayoun Shahwani; Mudassar Ahmad; Ch. Muhammad Nadeem Faisal. D-GENE: Deferring the GENEration of Power Sets for Discovering Frequent Itemsets in Sparse Big Data. IEEE Access 2020, 8, 27375 -27392.
AMA StyleMuhammad Yasir, Muhammad Asif Habib, Muhammad Ashraf, Shahzad Sarwar, Muhammad Umar Chaudhry, Hamayoun Shahwani, Mudassar Ahmad, Ch. Muhammad Nadeem Faisal. D-GENE: Deferring the GENEration of Power Sets for Discovering Frequent Itemsets in Sparse Big Data. IEEE Access. 2020; 8 (99):27375-27392.
Chicago/Turabian StyleMuhammad Yasir; Muhammad Asif Habib; Muhammad Ashraf; Shahzad Sarwar; Muhammad Umar Chaudhry; Hamayoun Shahwani; Mudassar Ahmad; Ch. Muhammad Nadeem Faisal. 2020. "D-GENE: Deferring the GENEration of Power Sets for Discovering Frequent Itemsets in Sparse Big Data." IEEE Access 8, no. 99: 27375-27392.
Sparseness is often witnessed in big data emanating from a variety of sources, including IoT, pervasive computing, and behavioral data. Frequent itemset mining is the first and foremost step of association rule mining, which is a distinguished unsupervised machine learning problem. However, techniques for frequent itemset mining are least explored for sparse real-world data, showing somewhat comparable performance. On the contrary, the methods are adequately validated for dense data and stand apart from each other in terms of performance. Hence, there arises an immense need for evaluating these techniques as well as proposing new ones for large sparse real-world datasets. In this study, a novel method: Mining Frequent Itemsets by Iterative TRimmed Transaction lattICE (TRICE) is proposed. TRICE iteratively generates combinations of varying-sized trimmed subsets of I, where I denote the set of distinct items in a database. Extensive experiments are conducted to assess TRICE against HARPP, FP-Growth, optimized SaM, and optimized RElim algorithms. The experimental results show that TRICE outperforms all these algorithms both in terms of running time and memory consumption. TRICE maintains a substantial performance gap for all sparse real-world datasets on all minimum support thresholds. Moreover, assessment of memory use of optimized SaM and RElim algorithms has been performed for the first time.
Muhammad Yasir; Muhammad Asif Habib; Muhammad Ashraf; Shahzad Sarwar; Muhammad Umar Chaudhry; Hamayoun Shahwani; Mudassar Ahmad; Ch. Muhammad Nadeem Faisal. TRICE: Mining Frequent Itemsets by Iterative TRimmed Transaction LattICE in Sparse Big Data. IEEE Access 2019, 7, 181688 -181705.
AMA StyleMuhammad Yasir, Muhammad Asif Habib, Muhammad Ashraf, Shahzad Sarwar, Muhammad Umar Chaudhry, Hamayoun Shahwani, Mudassar Ahmad, Ch. Muhammad Nadeem Faisal. TRICE: Mining Frequent Itemsets by Iterative TRimmed Transaction LattICE in Sparse Big Data. IEEE Access. 2019; 7 (99):181688-181705.
Chicago/Turabian StyleMuhammad Yasir; Muhammad Asif Habib; Muhammad Ashraf; Shahzad Sarwar; Muhammad Umar Chaudhry; Hamayoun Shahwani; Mudassar Ahmad; Ch. Muhammad Nadeem Faisal. 2019. "TRICE: Mining Frequent Itemsets by Iterative TRimmed Transaction LattICE in Sparse Big Data." IEEE Access 7, no. 99: 181688-181705.
The population of developed countries is becoming older and likely more chances of elderly people to face problems due to Parkinson. Mobile applications play a vital role in the lives of people having Parkinson. They use mobile applications for communication, social media network, surfing websites, medication, online shopping, and for many other purposes. However, the developers normally consider the youngster while designing the mobile Apps, consequently, the people with Parkinson (PwP) face numerous usability related issues while interacting with applications. This study elaborates the detailed limitations of PwP regarding the use of mobile applications and also determined the impact of related factors such as ease of use, information quality, and aesthetic quality on the usefulness of mobile applications. The objective is to purpose a theoretical model or framework for the usefulness of mobile applications in case of PwP. An empirical study is conducted on 25 PwP to test this model. A Structure equation modeling with other reliability tests are applied to verify and validate the proposed model. The results illustrate that ease of use and information quality strongly influence the usefulness whereas, aesthetic quality has a weak but indirect effect on usefulness. This study will provide the guidelines to the developers of the mobile application to understand the limitations of PwP and also to improve the usefulness of mobile applications by employing the appropriate design features.
Mujahid Rafiq; Ibrar Hussain; C. M. Nadeem Faisal; Hamid Turab Mirza. Study on Usefulness of Smartphone Applications for the People with Parkinson’s. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 281 -299.
AMA StyleMujahid Rafiq, Ibrar Hussain, C. M. Nadeem Faisal, Hamid Turab Mirza. Study on Usefulness of Smartphone Applications for the People with Parkinson’s. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():281-299.
Chicago/Turabian StyleMujahid Rafiq; Ibrar Hussain; C. M. Nadeem Faisal; Hamid Turab Mirza. 2019. "Study on Usefulness of Smartphone Applications for the People with Parkinson’s." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 281-299.
In this study, we attempt to evaluate the user preferences for web design attributes (i.e., typography, color, content quality, interactivity, and navigation) to determine the trust, satisfaction, and loyalty for uncertainty avoidance cultures. Content quality and navigation have been observed as strong factors in building user trust with e-commerce websites. In contrast, interactivity, color, and typography have been observed as strong determinants of user satisfaction. The most relevant and interesting finding is related to typography, which has been rarely discussed in e-commerce literature. A questionnaire was designed to collect data to corroborate the proposed model and hypotheses. Furthermore, the partial least-squares method was adopted to analyze the collected data from the students who participated in the test ($n$ = 558). Finally, the results of this study provide strong support to the proposed model and hypotheses. Therefore, all the web design attributes were observed as important design features to develop user trust and satisfaction for uncertainty avoidance cultures. Although both factors seem to be relevant, the relationship between trust and loyalty was observed to be stronger than between satisfaction and loyalty; thus, trust seems to be a stronger determinant of loyalty for risk/high uncertainty avoidance cultures.
C. M. Nadeem Faisal; Martin Gonzalez-Rodriguez; Daniel Fernandez-Lanvin; Javier De Andres-Suarez. Web Design Attributes in Building User Trust, Satisfaction, and Loyalty for a High Uncertainty Avoidance Culture. IEEE Transactions on Human-Machine Systems 2016, 47, 847 -859.
AMA StyleC. M. Nadeem Faisal, Martin Gonzalez-Rodriguez, Daniel Fernandez-Lanvin, Javier De Andres-Suarez. Web Design Attributes in Building User Trust, Satisfaction, and Loyalty for a High Uncertainty Avoidance Culture. IEEE Transactions on Human-Machine Systems. 2016; 47 (6):847-859.
Chicago/Turabian StyleC. M. Nadeem Faisal; Martin Gonzalez-Rodriguez; Daniel Fernandez-Lanvin; Javier De Andres-Suarez. 2016. "Web Design Attributes in Building User Trust, Satisfaction, and Loyalty for a High Uncertainty Avoidance Culture." IEEE Transactions on Human-Machine Systems 47, no. 6: 847-859.