Francis Arthur
Biographic Data
| ID | 833708 |
|---|---|
| NAME | Francis Arthur |
| GIVEN NAMES | Francis |
| FAMILY NAME | Arthur |
| SIGNATURE | ARTHUR F |
| AFFILIATIONS | University of Cape Coast |
| ORCID | 0000-0001-7792-6563 |
| VERIFIED | Yes |
| TOTAL WORKS | 20 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 20 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Modelling Higher‐Education Students’ Intention to Use Educational Metaverse in Ghana
The educational metaverse refers to immersive, virtual learning environments that integrate technologies such as virtual reality, augmented reality and interactive digital spaces to enhance teaching and learning experiences. Despite its growing global relevance, empirical evidence on the factors influencing higher education students’ intention to adopt educational metaverse platforms remains limited, particularly in developing contexts such as Gh…
Mediating roles of grit and learning motivation on students’ academic resilience and engagement in Ghana
Academic resilience helps students overcome challenges and maintain engagement in their studies. However, the interplay between academic resilience, student engagement, and the mediating roles of grit and learning motivation remains unexplored in Ghana. This study investigated these relationships among Senior High School (SHS) students in the Kwahu North districts of Ghana. Employing an explanatory correlational design, 190 students were recruite…
Predictors of continuous use intention of information communication technology among economics teachers in Ghana: A multi-analytical approach
Gender, teaching experience, and ICT integration self-efficacy in economics classrooms: Evidence from Ghanaian senior high schools
Introduction The integration of Information and Communication Technology (ICT) into teaching and learning has become a central strategy for improving instructional effectiveness and student engagement in secondary education. However, the extent to which Economics teachers and students in Ghana possess the confidence to use ICT effectively, and whether such confidence differs by gender and teaching experience, remains underexplored. This study exa…
Exploring Artificial Intelligence Anxiety Among Basic School Teachers in Ghana
As artificial intelligence (AI) is transforming global education, it is crucial to understand the psychological barriers to its integration, given the low adoption rate among teachers. This study explores AI anxiety, as conceptualised through the Technophobia Framework, among basic school teachers in Ghana. A descriptive cross-sectional design was employed to collect data from 319 participants, with the sample size determined by an a priori power…
Inclusive leadership and work engagement among university administrative staff in Ghana: The roles of organization-based self-esteem and coworker support
Purpose This study examines the work outcomes of inclusive leadership among university administrative staff by focusing on work engagement, organization-based self-esteem and coworker support. Design/methodology/approach Data were collected from 305 staff through simple random sampling and analyzed using PLS-SEM with emphasis on explained variance, path coefficients and effect sizes after the measurement model was assessed. Findings The findings …
Where There Is Will, There Is AI: Linking Expectancy‐Value Beliefs, Generative AI Use and Self‐Regulated Learning Among Economics Students
The rapid integration of generative artificial intelligence in higher education has intensified interest in understanding how students' motivational beliefs shape their engagement with AI‐supported learning. This study examines how “expectancy beliefs and task value” dimensions, namely “attainment, utility, interest, and cost”, influence Economics students' use of generative AI (GenAI) and how such use supports self‐regulated learning. Survey dat…
Preservice Teachers' Artificial Intelligence Competence: A Network and Latent Profile Analyses
The rapid integration of artificial intelligence (AI) in education has increased the need for teachers who possess multidimensional AI competencies. However, empirical evidence on preservice teachers' AI competence remains limited, particularly within developing‐country contexts such as Sub‐Saharan Africa. This study examined preservice teachers' AI competence in Ghana by exploring the structural relationships among AI competence indicators, asse…
Modelling the Nexus Between Artificial Intelligence Usage and Graduate Capital Dimensions: A PLS‐SEM Approach
In the era of digital transformation, Artificial Intelligence (AI) has emerged as a transformative force in higher education, reshaping how students learn, interact, and prepare for the world of work. This study examined the influence of AI usage on the multidimensional construct of graduate capital (GC) among higher education students in Ghana. Adopting a descriptive survey design, data were collected from 635 students who had prior experience w…
Exploring EFL Teachers’ Behavioral Intentions to Integrate GenAI Applications: Insights From PLS‐SEM and fsQCA
The rapid development of generative artificial intelligence (GenAI) applications has opened new possibilities across various fields, including English language education, by enabling personalized and adaptable learning experiences. Responding to the growing trend of integrating GenAI tools into EFL instruction, this study explored Iranian teachers’ behavioral intentions to use GenAI applications, such as ChatGPT, for English teaching in higher ed…
Gender disparities in digital citizenship: Insights from economics students in higher education
In today's digital economy, fostering digital citizenship among Economics students is crucial. Research indicates existing gender disparities in digital skills, yet these gaps within Economics education remain underexplored. This study examines gender differences in digital citizenship among Economics students in higher education in Ghana. Using a descriptive cross-sectional survey design and the Digital Citizenship Scale (DCS), the study assesse…
Academic Engagement Among Economics Students in Higher Education: A Multivariate Analysis of Academic Level and Gender-Driven Variations
Students’ academic engagement in higher education, especially in Economics, is crucial for their success. However, the interaction effect of gender and academic level on the academic engagement of Economics students remains unexplored. This study used a descriptive cross-sectional survey design to examine the academic engagement of Economics students in Ghanaian higher education, with a particular focus on variations based on academic level and g…
Linking students' grit and academic engagement: Mediating role of academic motivation and self‐regulated learning
The study investigated the relationships between students' grit, academic engagement, motivation and self‐regulated learning (SRL). It explored the mediating role of academic motivation and SRL in the relationship between students' grit and academic engagement. Understanding these dynamics can help educators foster environments that enhance student engagement through targeted interventions. A predictive correlational design was used to model the …
Modelling the associations between students' academic resilience, learning motivation, self-regulated learning and academic well-being in Ghana
Modelling the nexus between mathematics teachers' emotional intelligence and instructional effectiveness: A mediation moderation model using PLS-SEM approach
Economics students’ behavioural intention and usage of ChatGPT in higher education: A hybrid structural equation modelling-artificial neural network approach
The Chat Generative Pre-Trained Transformer, popularly referred to as ChatGPT, is an AI-based technology with the potential to revolutionise conventional teaching and learning in higher education institutions (HEIs). However, it remains unclear which factors influence the behavioural intentions and the actual usage of ChatGPT among economics students in Ghanaian HEIs. In pursuit of this goal, we employed the extended Unified Theory of Acceptance …
Predictors of higher education students’ behavioural intention and usage of ChatGPT: The moderating roles of age, gender and experience
The adoption and usage of ChatGPT among students are influenced by various factors, including individual characteristics such as age, gender, and experience with technology use. However, studies on the moderating roles of gender, age, and experience in predicting students’ behavioural intention and usage of ChatGPT are limited. This study employed the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to examine the predictors of H…
(In)Alienable Worth? Cultural Logics of Dignity, Honor, and Face and their Links to Prosociality Across the World
Cultural logic is a set of cultural scripts and patterns organized around a central theme. The cultural logics of dignity, honor, and face describe different ways of evaluating a person’s worth and maintaining cooperation. These cultural logics vary in prevalence across cultures. In this study, we collaboratively develop and validate a measure capturing these cultural logics, which will allow us to map world cultures based on the prevalence of th…
Digital paradigm shift: Unraveling students’ intentions to embrace Tablet-based Learning through an extended UTAUT2 model
With the rapid digital paradigm shift in educational settings, it is of utmost importance to comprehend the factors that influence the inclination of students towards utilising tablet-based learning. This study examined students’ intentions to use Tablet-based Learning (TBL) through an extended UTAUT2 model. Descriptive cross-sectional survey design was employed for the study. A questionnaire was utilised to collect data from 409 students in publ…
Teachers' Application of Multiple Intelligences Approach in Teaching Economics
The use of Gardner's multiple intelligences (MI) theory is touted as one of the ideal ways of teaching students with diverse intelligences. However, there appears to be paucity of research in this area of knowledge. This study, therefore, explored the application of multiple intelligences approach in the teaching of Economics. The study was a quantitative research that adopted the descriptive cross-sectional survey design. In total, 100 senior hi…
Teachers' Application of Multiple Intelligences Approach in Teaching Economics
The use of Gardner's multiple intelligences (MI) theory is touted as one of the ideal ways of teaching students with diverse intelligences. However, there appears to be paucity of research in this area of knowledge. This study, therefore, explored the application of multiple intelligences approach in the teaching of Economics. The study was a quantitative research that adopted the descriptive cross-sectional survey design. In total, 100 senior hi…
Teachers' Application of Multiple Intelligences Approach in Teaching Economics
The use of Gardner's multiple intelligences (MI) theory is touted as one of the ideal ways of teaching students with diverse intelligences. However, there appears to be paucity of research in this area of knowledge. This study, therefore, explored the application of multiple intelligences approach in the teaching of Economics. The study was a quantitative research that adopted the descriptive cross-sectional survey design. In total, 100 senior hi…
Digital paradigm shift: Unraveling students’ intentions to embrace Tablet-based Learning through an extended UTAUT2 model
With the rapid digital paradigm shift in educational settings, it is of utmost importance to comprehend the factors that influence the inclination of students towards utilising tablet-based learning. This study examined students’ intentions to use Tablet-based Learning (TBL) through an extended UTAUT2 model. Descriptive cross-sectional survey design was employed for the study. A questionnaire was utilised to collect data from 409 students in publ…
Economics students’ behavioural intention and usage of ChatGPT in higher education: A hybrid structural equation modelling-artificial neural network approach
The Chat Generative Pre-Trained Transformer, popularly referred to as ChatGPT, is an AI-based technology with the potential to revolutionise conventional teaching and learning in higher education institutions (HEIs). However, it remains unclear which factors influence the behavioural intentions and the actual usage of ChatGPT among economics students in Ghanaian HEIs. In pursuit of this goal, we employed the extended Unified Theory of Acceptance …
Predictors of higher education students’ behavioural intention and usage of ChatGPT: The moderating roles of age, gender and experience
The adoption and usage of ChatGPT among students are influenced by various factors, including individual characteristics such as age, gender, and experience with technology use. However, studies on the moderating roles of gender, age, and experience in predicting students’ behavioural intention and usage of ChatGPT are limited. This study employed the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to examine the predictors of H…
(In)Alienable Worth? Cultural Logics of Dignity, Honor, and Face and their Links to Prosociality Across the World
Cultural logic is a set of cultural scripts and patterns organized around a central theme. The cultural logics of dignity, honor, and face describe different ways of evaluating a person’s worth and maintaining cooperation. These cultural logics vary in prevalence across cultures. In this study, we collaboratively develop and validate a measure capturing these cultural logics, which will allow us to map world cultures based on the prevalence of th…
Exploring EFL Teachers’ Behavioral Intentions to Integrate GenAI Applications: Insights From PLS‐SEM and fsQCA
The rapid development of generative artificial intelligence (GenAI) applications has opened new possibilities across various fields, including English language education, by enabling personalized and adaptable learning experiences. Responding to the growing trend of integrating GenAI tools into EFL instruction, this study explored Iranian teachers’ behavioral intentions to use GenAI applications, such as ChatGPT, for English teaching in higher ed…
Gender disparities in digital citizenship: Insights from economics students in higher education
In today's digital economy, fostering digital citizenship among Economics students is crucial. Research indicates existing gender disparities in digital skills, yet these gaps within Economics education remain underexplored. This study examines gender differences in digital citizenship among Economics students in higher education in Ghana. Using a descriptive cross-sectional survey design and the Digital Citizenship Scale (DCS), the study assesse…
Academic Engagement Among Economics Students in Higher Education: A Multivariate Analysis of Academic Level and Gender-Driven Variations
Students’ academic engagement in higher education, especially in Economics, is crucial for their success. However, the interaction effect of gender and academic level on the academic engagement of Economics students remains unexplored. This study used a descriptive cross-sectional survey design to examine the academic engagement of Economics students in Ghanaian higher education, with a particular focus on variations based on academic level and g…
Linking students' grit and academic engagement: Mediating role of academic motivation and self‐regulated learning
The study investigated the relationships between students' grit, academic engagement, motivation and self‐regulated learning (SRL). It explored the mediating role of academic motivation and SRL in the relationship between students' grit and academic engagement. Understanding these dynamics can help educators foster environments that enhance student engagement through targeted interventions. A predictive correlational design was used to model the …
Modelling the associations between students' academic resilience, learning motivation, self-regulated learning and academic well-being in Ghana
Modelling the nexus between mathematics teachers' emotional intelligence and instructional effectiveness: A mediation moderation model using PLS-SEM approach
Modelling Higher‐Education Students’ Intention to Use Educational Metaverse in Ghana
The educational metaverse refers to immersive, virtual learning environments that integrate technologies such as virtual reality, augmented reality and interactive digital spaces to enhance teaching and learning experiences. Despite its growing global relevance, empirical evidence on the factors influencing higher education students’ intention to adopt educational metaverse platforms remains limited, particularly in developing contexts such as Gh…
Mediating roles of grit and learning motivation on students’ academic resilience and engagement in Ghana
Academic resilience helps students overcome challenges and maintain engagement in their studies. However, the interplay between academic resilience, student engagement, and the mediating roles of grit and learning motivation remains unexplored in Ghana. This study investigated these relationships among Senior High School (SHS) students in the Kwahu North districts of Ghana. Employing an explanatory correlational design, 190 students were recruite…
Predictors of continuous use intention of information communication technology among economics teachers in Ghana: A multi-analytical approach
Gender, teaching experience, and ICT integration self-efficacy in economics classrooms: Evidence from Ghanaian senior high schools
Introduction The integration of Information and Communication Technology (ICT) into teaching and learning has become a central strategy for improving instructional effectiveness and student engagement in secondary education. However, the extent to which Economics teachers and students in Ghana possess the confidence to use ICT effectively, and whether such confidence differs by gender and teaching experience, remains underexplored. This study exa…
Exploring Artificial Intelligence Anxiety Among Basic School Teachers in Ghana
As artificial intelligence (AI) is transforming global education, it is crucial to understand the psychological barriers to its integration, given the low adoption rate among teachers. This study explores AI anxiety, as conceptualised through the Technophobia Framework, among basic school teachers in Ghana. A descriptive cross-sectional design was employed to collect data from 319 participants, with the sample size determined by an a priori power…
Inclusive leadership and work engagement among university administrative staff in Ghana: The roles of organization-based self-esteem and coworker support
Purpose This study examines the work outcomes of inclusive leadership among university administrative staff by focusing on work engagement, organization-based self-esteem and coworker support. Design/methodology/approach Data were collected from 305 staff through simple random sampling and analyzed using PLS-SEM with emphasis on explained variance, path coefficients and effect sizes after the measurement model was assessed. Findings The findings …
Where There Is Will, There Is AI: Linking Expectancy‐Value Beliefs, Generative AI Use and Self‐Regulated Learning Among Economics Students
The rapid integration of generative artificial intelligence in higher education has intensified interest in understanding how students' motivational beliefs shape their engagement with AI‐supported learning. This study examines how “expectancy beliefs and task value” dimensions, namely “attainment, utility, interest, and cost”, influence Economics students' use of generative AI (GenAI) and how such use supports self‐regulated learning. Survey dat…
Preservice Teachers' Artificial Intelligence Competence: A Network and Latent Profile Analyses
The rapid integration of artificial intelligence (AI) in education has increased the need for teachers who possess multidimensional AI competencies. However, empirical evidence on preservice teachers' AI competence remains limited, particularly within developing‐country contexts such as Sub‐Saharan Africa. This study examined preservice teachers' AI competence in Ghana by exploring the structural relationships among AI competence indicators, asse…
Modelling the Nexus Between Artificial Intelligence Usage and Graduate Capital Dimensions: A PLS‐SEM Approach
In the era of digital transformation, Artificial Intelligence (AI) has emerged as a transformative force in higher education, reshaping how students learn, interact, and prepare for the world of work. This study examined the influence of AI usage on the multidimensional construct of graduate capital (GC) among higher education students in Ghana. Adopting a descriptive survey design, data were collected from 635 students who had prior experience w…
Psychology (10 works) · Structural equation modeling (9 works) · Social Psychology (7 works) · Descriptive statistics (6 works) · Higher education (6 works) · Mathematics education (6 works) · Technology Adoption and User Behaviour (5 works) · Computer Science (4 works) · Digital literacy in education (4 works) · Gender and Technology in Education (4 works)