Muhammad Zaheer Asghar
Datos Biográficos
| ID | 322764 |
|---|---|
| NOMBRE | Muhammad Zaheer Asghar |
| NOMBRES | Muhammad Zaheer |
| APELLIDO | Asghar |
| FIRMA | ASGHAR M Z |
| AFILIACIONES | University of Helsinki |
| ORCID | 0000-0003-3320-2074 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 17 |
| TOTAL DE CITAS | 3 |
| TOTAL COMO AUTOR | 17 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Understanding social media–based pedagogy and pre-service teachers’ inclusive education intentions through a complementary multi-method analysis using artificial neural network, MGA, and fsQCA
Social media (SM) offers an emerging pedagogical setting for advancing inclusive education. This study explored the associations among attitude (AT), perceived behavioral control (PBC), subjective norms (SN), and pre-service teachers’ (PSTs) intentions (IN) toward inclusive education within a social media–supported training context. Grounded in the Theory of Planned Behavior, data from 212 PSTs were analyzed using a complementary multi-method ana…
A novel model of perceived sustainable work performance through the active bystander behavior, team cohesion, and innovative work behavior
The study examines the relationships among active bystander behavior (ABSB), innovative work behavior (IWB), team cohesion (TC), and sustainable work performance (SWP) among university faculty. Based on Social Exchange Theory (SET) and Organizational Citizenship Theory (OCB), our research examined the direct and indirect relationships between ABSB and both IWB and SWP, with TC serving as a mediator. A sample of 219 university faculty completed a …
Generative AI tool usage and perceived self-regulated learning
This study explores the connection between generative AI tool usage and perceived self-regulated learning, focusing on the mediating roles of technological self-efficacy and cognitive offloading in blended learning environments, grounded on the adapted UTAUT2 model and self-regulated learning theory. The study also examined students’ perceptions about the opportunities and challenges associated with self-regulated learning and cognitive offloadin…
Exploring the connections between integrated sustainable curricula, generative AI tools, and perceived climate change capabilities across the global south and north using multi-analytics
This study measured the relationships between integrated sustainable curricula, generative artificial intelligence tool usage, climate change sensitivity, and climate change capabilities among higher education students across the Global South and North. To achieve this, data were collected from 486 students in Ethiopia, Pakistan, Turkey, China, and Finland using a convenience sampling approach and a five-point Likert scale. We used Partial Least …
Primary teachers’ perceived knowledge of hearing impairment and curriculum adaptations
Continuing higher education through the social media-based community of inquiry during the crisis
This study aimed to find out the social presence, teaching presence, and cognitive presence of higher education students in social media environments in developing countries such as Turkey and Pakistan during the pandemic crisis. We adopted a survey approach to collect data from higher education students in Turkey (n = 350) and Pakistan (n = 350). Consistent multiple group analysis (cMGA) analyzed that there was no difference between Turkish and …
How information literacy influences creative skills among medical students? The mediating role of lifelong learning
This research investigated the influence of information literacy on the creative skills of medical students through the mediation of lifelong learning. A cross-sectional survey was conducted for data collection among medical students, recruited through a stratified convenient sampling procedure, of Khyber Pakhtunkhwa, Pakistan. The questionnaire was personally administered by visiting each college with written permission. A total of 473 survey re…
Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During Covid-19 Pandemic
Deep neural networks have made tremendous strides in the categorization of facial photos in the last several years. Due to the complexity of features, the enormous size of the picture/frame, and the severe inhomogeneity of image data, efficient face image classification using deep convolutional neural networks remains a challenge. Therefore, as data volumes continue to grow, the effective categorization of face photos in a mobile context utilizin…
Decision Support System for Predicting Survivability of Hepatitis Patients
Background and Objective: Viral hepatitis is a major public health concern on a global scale. It predominantly affects the world's least developed countries. The most endemic regions are resource constrained, with a low human development index. Chronic hepatitis can lead to cirrhosis, liver failure, cancer and eventually death. Early diagnosis and treatment of hepatitis infection can help to reduce disease burden and transmission to those at risk…
A Decision Support System for Diagnosing Diabetes Using Deep Neural Network
Background and Objective: According to the WHO, diabetes mellitus is a long-term condition marked by high blood sugar levels. The consequences might be far-reaching. According to current increases in mortality, diabetes has risen to number 10 among the leading causes of mortality worldwide. When used to predict diabetes using unbalanced datasets from testing, machine learning (ML) classifiers and established approaches for encoding categorical da…
Analyzing an Appropriate Blend of Face-to-Face, Offline and Online Learning Approaches for the In-Service Vocational Teacher’s Training Program
Blended learning approaches are considered as the most viable for the delivery of training to remote areas and accessing learners at a mass level. Blended learning is a combination of different learning approaches to facilitate the learners' needs. The National Vocational and Technical Training Commission (NAVTTC) conducted an in-service vocational teachers' training program through blended learning approaches in Pakistan. This study aimed to fin…
Social Media Tools for the Development of Pre-Service Health Sciences Researchers during Covid-19 in Pakistan
The development of health sciences researchers has immense significance during a pandemic to control, manage, and prevent future outbreaks of the disease. This study focused on the use of social media tools (SMT) among pre-service health sciences researchers to complement their research competencies (RCT) and research completion levels (RC) during COVID-19. This study used the Vitae research development framework (RDF) to measure research compete…
Social Media Networking Sites Usage and Depression Among University Students During the Covid-19 Pandemic
The current COVID-19 pandemic has resulted in increased psychological issues such as excessive social media networking sites usage (SMNSU), loneliness, social anxiety, and depression. In this quantitative study, we examined how SMNSU can directly and indirectly influence depression, with loneliness and social anxiety examined as mediator variables. A 39-item questionnaire was used to collect survey data on SMNSU, loneliness, social anxiety, and d…
Support through Social Media and Online Class Participation to Enhance Psychological Resilience
Social support was an important factor in minimizing the effect of social isolation during the COVID-19 pandemic lockdown. This research aimed to study the role of online class participation and social media usage to link the social support available from family and friends to psychological resilience among pre-service special education teachers against the negative psychological effects of the COVID-19 pandemic lockdown. A survey was conducted w…
Breaching Learners’ Social Distancing through Social Media during the Covid-19 Pandemic
Higher education has been shifted toward blended learning during the COVID-19 pandemic. An increase in social media usage intensity and reduced face-to-face interaction due to the COVID-19 pandemic urged instructional communication researchers to revisit the dynamics of learners' group development in terms of their socialization and academic performance during the COVID-19 crisis. This research aimed to determine the mediating role of social medi…
Exploring the Relationship between Despotic Leadership and Job Satisfaction
This study explores the effects of despotic leadership (DL) on employee job satisfaction (JS) using self-efficacy (SE) as a mediating variable and leader-member exchange (LMX) as a moderated variable. Building on the social learning and social exchange theory, our research proposes a research model. In this model, despotic leadership affects employee job satisfaction both directly and indirectly through self-efficacy and leader-member exchange. W…
False information detection in online content and its role in decision making
Social Media Networking Sites Usage and Depression Among University Students During the Covid-19 Pandemic
The current COVID-19 pandemic has resulted in increased psychological issues such as excessive social media networking sites usage (SMNSU), loneliness, social anxiety, and depression. In this quantitative study, we examined how SMNSU can directly and indirectly influence depression, with loneliness and social anxiety examined as mediator variables. A 39-item questionnaire was used to collect survey data on SMNSU, loneliness, social anxiety, and d…
False information detection in online content and its role in decision making
Support through Social Media and Online Class Participation to Enhance Psychological Resilience
Social support was an important factor in minimizing the effect of social isolation during the COVID-19 pandemic lockdown. This research aimed to study the role of online class participation and social media usage to link the social support available from family and friends to psychological resilience among pre-service special education teachers against the negative psychological effects of the COVID-19 pandemic lockdown. A survey was conducted w…
Breaching Learners’ Social Distancing through Social Media during the Covid-19 Pandemic
Higher education has been shifted toward blended learning during the COVID-19 pandemic. An increase in social media usage intensity and reduced face-to-face interaction due to the COVID-19 pandemic urged instructional communication researchers to revisit the dynamics of learners' group development in terms of their socialization and academic performance during the COVID-19 crisis. This research aimed to determine the mediating role of social medi…
Exploring the Relationship between Despotic Leadership and Job Satisfaction
This study explores the effects of despotic leadership (DL) on employee job satisfaction (JS) using self-efficacy (SE) as a mediating variable and leader-member exchange (LMX) as a moderated variable. Building on the social learning and social exchange theory, our research proposes a research model. In this model, despotic leadership affects employee job satisfaction both directly and indirectly through self-efficacy and leader-member exchange. W…
Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During Covid-19 Pandemic
Deep neural networks have made tremendous strides in the categorization of facial photos in the last several years. Due to the complexity of features, the enormous size of the picture/frame, and the severe inhomogeneity of image data, efficient face image classification using deep convolutional neural networks remains a challenge. Therefore, as data volumes continue to grow, the effective categorization of face photos in a mobile context utilizin…
Decision Support System for Predicting Survivability of Hepatitis Patients
Background and Objective: Viral hepatitis is a major public health concern on a global scale. It predominantly affects the world's least developed countries. The most endemic regions are resource constrained, with a low human development index. Chronic hepatitis can lead to cirrhosis, liver failure, cancer and eventually death. Early diagnosis and treatment of hepatitis infection can help to reduce disease burden and transmission to those at risk…
A Decision Support System for Diagnosing Diabetes Using Deep Neural Network
Background and Objective: According to the WHO, diabetes mellitus is a long-term condition marked by high blood sugar levels. The consequences might be far-reaching. According to current increases in mortality, diabetes has risen to number 10 among the leading causes of mortality worldwide. When used to predict diabetes using unbalanced datasets from testing, machine learning (ML) classifiers and established approaches for encoding categorical da…
Analyzing an Appropriate Blend of Face-to-Face, Offline and Online Learning Approaches for the In-Service Vocational Teacher’s Training Program
Blended learning approaches are considered as the most viable for the delivery of training to remote areas and accessing learners at a mass level. Blended learning is a combination of different learning approaches to facilitate the learners' needs. The National Vocational and Technical Training Commission (NAVTTC) conducted an in-service vocational teachers' training program through blended learning approaches in Pakistan. This study aimed to fin…
Social Media Tools for the Development of Pre-Service Health Sciences Researchers during Covid-19 in Pakistan
The development of health sciences researchers has immense significance during a pandemic to control, manage, and prevent future outbreaks of the disease. This study focused on the use of social media tools (SMT) among pre-service health sciences researchers to complement their research competencies (RCT) and research completion levels (RC) during COVID-19. This study used the Vitae research development framework (RDF) to measure research compete…
Social Media Networking Sites Usage and Depression Among University Students During the Covid-19 Pandemic
The current COVID-19 pandemic has resulted in increased psychological issues such as excessive social media networking sites usage (SMNSU), loneliness, social anxiety, and depression. In this quantitative study, we examined how SMNSU can directly and indirectly influence depression, with loneliness and social anxiety examined as mediator variables. A 39-item questionnaire was used to collect survey data on SMNSU, loneliness, social anxiety, and d…
How information literacy influences creative skills among medical students? The mediating role of lifelong learning
This research investigated the influence of information literacy on the creative skills of medical students through the mediation of lifelong learning. A cross-sectional survey was conducted for data collection among medical students, recruited through a stratified convenient sampling procedure, of Khyber Pakhtunkhwa, Pakistan. The questionnaire was personally administered by visiting each college with written permission. A total of 473 survey re…
Continuing higher education through the social media-based community of inquiry during the crisis
This study aimed to find out the social presence, teaching presence, and cognitive presence of higher education students in social media environments in developing countries such as Turkey and Pakistan during the pandemic crisis. We adopted a survey approach to collect data from higher education students in Turkey (n = 350) and Pakistan (n = 350). Consistent multiple group analysis (cMGA) analyzed that there was no difference between Turkish and …
Understanding social media–based pedagogy and pre-service teachers’ inclusive education intentions through a complementary multi-method analysis using artificial neural network, MGA, and fsQCA
Social media (SM) offers an emerging pedagogical setting for advancing inclusive education. This study explored the associations among attitude (AT), perceived behavioral control (PBC), subjective norms (SN), and pre-service teachers’ (PSTs) intentions (IN) toward inclusive education within a social media–supported training context. Grounded in the Theory of Planned Behavior, data from 212 PSTs were analyzed using a complementary multi-method ana…
A novel model of perceived sustainable work performance through the active bystander behavior, team cohesion, and innovative work behavior
The study examines the relationships among active bystander behavior (ABSB), innovative work behavior (IWB), team cohesion (TC), and sustainable work performance (SWP) among university faculty. Based on Social Exchange Theory (SET) and Organizational Citizenship Theory (OCB), our research examined the direct and indirect relationships between ABSB and both IWB and SWP, with TC serving as a mediator. A sample of 219 university faculty completed a …
Generative AI tool usage and perceived self-regulated learning
This study explores the connection between generative AI tool usage and perceived self-regulated learning, focusing on the mediating roles of technological self-efficacy and cognitive offloading in blended learning environments, grounded on the adapted UTAUT2 model and self-regulated learning theory. The study also examined students’ perceptions about the opportunities and challenges associated with self-regulated learning and cognitive offloadin…
Exploring the connections between integrated sustainable curricula, generative AI tools, and perceived climate change capabilities across the global south and north using multi-analytics
This study measured the relationships between integrated sustainable curricula, generative artificial intelligence tool usage, climate change sensitivity, and climate change capabilities among higher education students across the Global South and North. To achieve this, data were collected from 486 students in Ethiopia, Pakistan, Turkey, China, and Finland using a convenience sampling approach and a five-point Likert scale. We used Partial Least …
Primary teachers’ perceived knowledge of hearing impairment and curriculum adaptations
Computer Science (9 obras) · Psychology (9 obras) · Medicine (8 obras) · Social media (7 obras) · Structural equation modeling (7 obras) · COVID-19 and Mental Health (4 obras) · Curriculum (4 obras) · Social Psychology (4 obras) · World Wide Web (4 obras) · Artificial Intelligence (3 obras)