An investigation of mobile learning readiness in higher education based on the theory of planned behavior

By Jongpil Cheon, Sangno Lee, Steven M. Crooks, Jaeki Song. Comput. Educ., 2012

1,011 citations recorded by the source corpus.

Subfields: Information Systems, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e8c4484b5b05c75a0213706d1b419001220cef97

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Mostafa Al-Emran
2. Anastasios A. Economides
3. Stavros A. Nikou
4. Ibrahim Arpaci
5. Evrim Baran
6. Said A. Salloum
7. Cheng-Min Chao

In Information Systems and Management

1. Stavros A. Nikou
2. Said A. Salloum
3. Ibrahim Arpaci
4. Hafidha S. Al-Barashdi
5. Mostafa Al-Emran
6. Anastasios A. Economides
7. Xiaoqing Gu
8. Haoming Wang

In Sociology and Political Science

1. Said A. Salloum
2. Ibrahim Arpaci
3. Hafidha S. Al-Barashdi
4. Mostafa Al-Emran
5. Anastasios A. Economides
6. Stavros A. Nikou
7. Naeema H. Jabur
8. Evrim Baran

Citations in the corpus

• Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy (2024, positive): “In the education field, the TPB has been extensively used to effectively predict university students’ behavioral intention (Cheon et al., 2012; Mei et al., 2017; Teo, 2012).”
• Smartphone Addiction among University Undergraduates: A Literature Review (2015, background): “[33] reported that advancements in mobile technology are rapidly widening the scope of learning in areas outside formal education by allowing flexible and instant access to rich digital resources.”
• Mobile-Based Assessment: Integrating acceptance and motivational factors into a combined model of Self-Determination Theory and Technology Acceptance (2017, background): “the impact of autonomy and relatedness on technology acceptance (Chen& Jang, 2010; Cheon et al., 2012; Roca& Gagn e, 2008; Sørebø et al., 2009; Venkatesh, 2000).”
• An empirical examination of continuous intention to use m-learning: An integrated model (2020, methodology): “To measure perceived usefulness, perceived ease of use, and attitude, this study adopted the items used by Cheon et al. (2012) and Davis (1989).”
• A Review of Research on Mobile Learning in Teacher Education (2014, background): “Mobile learning, Teacher education, M-learning, Preservice, In-service”
• Mobile-based assessment: Investigating the factors that influence behavioral intention to use (2017, background): “Moreover, even users' perceptions about MBA are still inconsistent (Bennett, Dawson, Bearman, Molloy, & Boud, 2017); there are several unresolved issues relating to usability (Cheon et al., 2012; Huff, 2015) and user perspectives (Wang et al.”