AI Powered Procrastination Reducer

References

[1] Yerdelen, S., McCaffrey, A., & Klassen, R. M. (2016). Longitudinal examination of procrastination and anxiety, and their relation to self-efficacy for self-regulated learning: Latent Growth Curve Modelling. Kuram ve Uygulamada Eğitim Bilimleri/Educational Sciences: Theory & Practice, 16(1), 5–22.

[2] Walumbwa, Fred & Christensen, Amanda & Hsu, I-Chieh & Misati, Everlyne. (2018). Creative self-efficacy and creative performance: Understanding the underlying mechanisms. Academy of Management Proceedings. 2018. 10208. 10.5465/AMBPP.2018.75.

[3] Alblwi, A., Stefanidis, A., Phalp, K., & Ali, R. (2019). Procrastination on Social Networks: Types and Triggers. 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), 1-7.

[4] Cuncolkar, S., & D'Silva, C.H. (2020). Relationship between Procrastination, Self- Esteem, Self-Efficacy and Motivation among College Students.

[5] Liu, J., Sun, M., Dong, Y., Xu, F., Sun, X., & Zhou, Y. (2022). The mediating effect of creativity on the relationship between mathematical achievement and programming self-efficacy. Frontiers in Psychology, 12, 6243.

[6] Bai, H., Li, X., Wang, X., Tong, W., Li, Y., & Hu, W. (2023). Active procrastination incubates more creative thinking: The sequential mediating effect of personal mastery and creative self-concept. Creativity Research Journal, 1-13.

[7] Guo, B., & Chen, J. (2024). The impact of social media addiction on academic procrastination among college students. Journal of Educational Psychology.

[8] Bicer, A., Chamberlin, S., and Perihan, C. (2020). A meta-analysis of the relationship between mathematics achievement and creativity. J. Creat. Behav. 55, 569–590. 10.1002/jocb.474.

[9] Bocconi, S., Chioccariello, A., and Earp, J. (2018). The Nordic approach to introducing computational thinking and programming in compulsory education. Report prepared for the Nordic@ BETT2018 New Delhi: Steering Group.

[10] Steel, P., & Ferrari, J. (2013). Sex, education and procrastination: An epidemiological study of procrastinators’ characteristics from a global sample. European Journal of Personality, 27, 51–58.

@article{1708868,
      author = {V Kumara Swamy, K. Srikanth, T. Saranya},
      title = {AI Powered Procrastination Reducer},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {12},
      pages = {1845-1850},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708868.pdf},
      abstract = {Procrastination is a widespread issue that affects productivity and overall well-being, often making it harder for individuals to complete important tasks on time. This paper introduces an AI-driven system designed to help users overcome procrastination by understanding their behaviour, identifying common triggers, and providing timely interventions. The system dynamically prioritizes tasks, sends real-time reminders, and offers personalized encouragement to keep users motivated and focused. With built-in machine learning capabilities, the tool continuously adapts to individual habits and preferences, becoming more effective over time. Initial evaluations suggest that this approach can significantly improve time management and foster lasting productivity.},
      month = {June},
  }