Exploring the Influence of Persuasive Strategies on Student Motivation: Self-determination Theory Perspective
Keywords: competition, education, competence, relatedness, extrinsic motivation, autonomy, personalization, intrinsic motivation, self-determination theory, Self-Monitoring, tailoring, Social comparison, Persuasive Technology, Persuasive Strategies, Commitment and Consistency
Abstract
The role of persuasive strategies is crucial in designing systems to influence behaviour. Understanding how students are affected by these strategies is critical to creating customized motivational interventions and educational methods that boost student motivation, engagement, and, ultimately, academic success. In the realm of persuasive technology in education, more research that leverages the Self-Determination Theory (SDT) of motivation is needed to understand the impact of persuasive strategies, such as Self-monitoring, Commitment and Consistency, Social Comparison, and Competition on student learning. Our study sought to investigate the responsiveness of undergraduate students (N?=?185) to these persuasive strategies and how they correlate with the principles of SDT. The findings indicate that strategies such as commitment & consistency, and self-monitoring are more effective in motivating students toward specific educational objectives than competition and social comparison. Our research also uncovered diverse connections between student persuadability and the SDT constructs. Based on our results, we propose guidelines for designing more motivational education systems. These insights may help to develop and personalize persuasive educational systems and interventions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Más información
| Título según WOS: | Exploring the Influence of Persuasive Strategies on Student Motivation: Self-determination Theory Perspective |
| Título según SCOPUS: | Exploring the Influence of Persuasive Strategies on Student Motivation: Self-determination Theory Perspective |
| Título de la Revista: | Lecture Notes in Computer Science |
| Editorial: | Springer Science and Business Media Deutschland GmbH |
| Fecha de publicación: | 2024 |
| Página de inicio: | 222 |
| Página final: | 236 |
| Idioma: | English |
| DOI: |
10.1007/978-3-031-58226-4_17 |
| Notas: | ISI, SCOPUS |