Experience moderator effect on the variables that influence intention to use mobile learning

Izkair, Ayad Shihan; Lakulu, Muhammad Modi

doi:10.11591/eei.v10i5.3109

Cited by 8 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This indicates that if the HEI in Iraq aims to enhance the usage of ML, they have to pay attention to PE, EE, SI, and FC. These findings are consistent with prior literature such as [21]- [23] which referred to the importance of PE, EE, SI, and FC in the usage of technology. The findings also showed that satisfaction which is part of the ISSM is also an important factor.…”

Section: Discussionsupporting

confidence: 93%

“…Since this study is examining the student, the study focuses on explaining the role of factors that include gender and experience as a moderating variables while other moderators such as age and education were not included due to the similarities among users in terms of age and education [9]. Along with the variables of UTAUT, additional variables were included to account for the context of this study, and these include the self-efficacy, enjoyment, and innovativeness [21]- [23]. In addition, from information system success model (ISSM), the variables satisfaction and quality of service were added.…”

Section: Theoritical Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Model of intention and actual use mobile learning in higher education institutions in Iraq

Izkair

Lakulu

2023

IJEECS

View full text Add to dashboard Cite

Mobile learning (ML) is now involved in the creation of teaching and learning methods for higher education. However, this involvement is varied among countries. The objective of this research was to examine the factors that impact students' intentions to use ML in Iraqi higher education institutions (HEIs). Building on unified theory of acceptance and use of technology (UTAUT) and information system success model (ISSM), a conceptual model was developed. The population of this study are users in Iraqi univeristies. Using a stratified random sampling, a total of 323 responses were collected to examine the proposed hypotheses. The findings showed that variables of UTAUT such as effort expectancy (EE), social influence (SI), performance expectancy (PE), facilitating conditions (FC) as well as variables of ISSM such as satisfaction along with perceived enjoyment and self efficacy affected positively the intention to use ML (ITUML) which in turn affected actual use (AU). Gender and experience moderated the effect of PE, EE, and SI on ITUML. A model of ITUML among users in Iraqi HEI was developed. Decision makers are advised to focus on certain variables to enhance the usage of ML in HEI.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Theoritical Frameworkmentioning

confidence: 99%

Model of intention and actual use mobile learning in higher education institutions in Iraq

Izkair

Lakulu

2023

IJEECS

View full text Add to dashboard Cite

show abstract

“…The word intention refers to the subjective possibility of people taking specific actions. Intention to use is considered a behavior that emphasizes the intention to use and positively affects the actual user; therefore, intention to use has a positive relationship with the user (Izkair & Lakulu, 2021). Successful system adoption is greatly influenced by a person's attitude toward utilizing new technology and systems (Yoon et al, 2020).…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

Self-Efficacy and Technology Adoption for Micro, Small and Medium Enterprises: An Integrated Model of Task-Technology Fit and Technology Acceptance

Victorina Rosette Mantik,

Debora Kandouw,

Gabriella Karouwan

et al. 2024

JWS

View full text Add to dashboard Cite

The development and digitization of the MSMEs ecosystem are accelerated steps towards realizing digital MSMEs that have an impact on the country's economy in the digital transformation era. This study aims to determine self-efficacy, which is an external variable, and technology adoption by MSMEs when implementing the integration of two technological models, namely task-technology fit (TTF) and technology acceptance (TAM), in their business activities. Data were collected through a questionnaire survey distributed to 269 MSMEs using convenience sampling and analyzed using PLS-SEM. The findings of this study indicate that self-efficacy has a greater influence than TTF on perceived ease of use, and the hypothesis about the components of TTF and TAM are supported based on the data on attitudes towards and intentions to use them. This study provides practical recommendations for stakeholders to empower MSMEs and for MSMEs themselves to leverage technology adoption in their business activities. The implications of this research provide practical recommendations for stakeholders to strengthen Micro, Small, and Medium Enterprises (MSMEs) and enhance the adoption of technology in their business activities, thereby driving the growth of the country's economy in the digital transformation era.

show abstract

“…Sustainble education can be delivered in a developing country like Bangladesh by ensuring these facilities [25]. According to Izkair and Lakulu [26] discovered that only five factors are influencing intention to use mobile learning in higher education institutions (HEI), the factors are "facilitating conditions", "performance expectancy", "effort expectancy", "social influence", and "satisfaction". According to Mahareek et al [27], students in higher education institutions can study more effectively by combining machine learning algorithms with educational data.…”

Section: Litreture Reviewmentioning

confidence: 99%

Implementation of blended learning approach in teaching introductory computer science course

Obeidat

Yaqbeh

2023

Bulletin EEI

View full text Add to dashboard Cite

Information communication and technology has great impact on modern education architecture of 21st century. This research intends to analyze the effectiveness of blended learning considering its basic principles and factors. Also, this study is focused on determining core problems of blended learning thus highlighting its design approach. A descriptive and inferential statistical analysis has been conducted on the data that reveal that the majority of students prefer blended learning system regardless their major, gender and any other factors if they have good infrastructure and effective electronic platform. It is recommended that for effective implementation of blended system there should be opportunities of face to face as well as online synchronous, and non-synchronous communication between students and teachers.

show abstract

Experience moderator effect on the variables that influence intention to use mobile learning

Cited by 8 publications

References 25 publications

Model of intention and actual use mobile learning in higher education institutions in Iraq

Model of intention and actual use mobile learning in higher education institutions in Iraq

Self-Efficacy and Technology Adoption for Micro, Small and Medium Enterprises: An Integrated Model of Task-Technology Fit and Technology Acceptance

Implementation of blended learning approach in teaching introductory computer science course

Contact Info

Product

Resources

About