This work is licensed under the Creative Commons Attribution 4.0 International License.
Mamun, M. A., Misti, J. M., Hosen, I., & Mamun, F. A. (2021). Suicidal behaviors and university entrance test-related factors: a bangladeshi exploratory study. Perspectives In Psychiatric Care.Search in Google Scholar
Hart, D. O. (2023). Creating anti-oppressive digital spaces for social justice language education. TESOL Quarterly, 57(1), 285-297.Search in Google Scholar
Trinidad, J. E., Raz, M. D., & Magsalin, I. M. (2021). “more than professional skills:” student perspectives on higher education’s purpose. Teaching in Higher Education(7). Search in Google Scholar
Lewey, T. D., & Moody-Goo, H. (2018). Management: designing a meaningful reference and instruction internship: the mlis student perspective. Reference & User Services Quarterly, 57(4), 238.Search in Google Scholar
Ogawa, A. (2022). Education and social justice in japan. Pacific Affairs.Search in Google Scholar
He, S., Epp, C. D., Chen, F., & Cui, Y. (2024). Examining change in students’ self-regulated learning patterns after a formative assessment using process mining techniques. Computers in human behavior (Mar.), 152.Search in Google Scholar
Brown, D. (2017). Response to the article “returning to the profession’s roots: social justice in nursing education for the 21st century. Advances in Nursing Science, 40, págs. 316-317.Search in Google Scholar
Kyprianou, C. (2022). How to manage student consulting projects: a practical guide for project advisors. Academy of management learning & education.Search in Google Scholar
Chisholm, M. E. (2017). Book review:hegemony and education under neoliberalism: insights from gramsci, by p. mayo:. Adult Education Quarterly, 67(3), 243-245.Search in Google Scholar
Stoklosa, A. M., & Dissertation, A. M. S. (2018). College student adjustment: examination of personal and environmental characteristics college student adjustment: examination of personal and environmental characteristics. Journal of Adolescent Research.Search in Google Scholar
Lewis, E., Craig, R., J., & Senter. (2017). Student thoughts about suicide. Psychological Record.Search in Google Scholar
Maria, & Repnikova. (2017). Thought work contested: ideology and journalism education in china. China Quarterly.Search in Google Scholar
Ogunbodede, O. S., Idowu, H. A., & Odeyemi, T. I. (2020). Students’ union—management relations and conflict resolution mechanisms in obafemi awolowo university, nigeria. Journal of Conflict Resolution, 20(1), 103-131.Search in Google Scholar
Tuuli, Kuosmane, Theresa, M., Fleming, & Margaret, et al. (2017). Using computerized mental health programs in alternative education: understanding the requirements of students and staff. Health Communication.Search in Google Scholar
Basile, V., & Flávio S. Azevedo. (2022). Ideology in the mirror: a loving (self) critique of our equity and social justice efforts in stem education. Science education.Search in Google Scholar
Kruger, T. M., Mccreary, N., Verhoff, B. L., Sheets, V., Speer, J. H., & Aldrich, S. P. (2020). College students’ understanding of social justice as sustainability. International Journal of Sustainability in Higher Education.Search in Google Scholar
Marcus, D., Simone, A., & Block, L. (2020). Design thinking in medical ethics education. Journal of Medical Ethics, 46(4), medethics-2019-105989.Search in Google Scholar
Hochtritt, L., Ahlschwede, W., Halsey-Dutton, B., Fiesel, L. M., Chevalier, L., & Miller, T., et al. (2017). Public pedagogy and social justice in arts education. International Journal of Art & Design Education.Search in Google Scholar
Vinod Patidar. (2024). A family of robust chaotic S-unimodal maps based on the Gaussian function. Frontiers in PhysicsSearch in Google Scholar
Fagbola Temitayo, Oludayo Olugbara & Thakur Surendra. (2019). Real World Data Clustering using a Hybrid of Normalized Particle Swarm Optimization and Density–Sensitive Distance Measure.Journal of Engineering and Applied Sciences(17), 6317-6335.Search in Google Scholar
Gudise Sandhya, Giri Babu K. & Satya Savithri T. (2024). An advanced fuzzy C-Means algorithm for the tissue segmentation from brain magnetic resonance images in the presence of noise and intensity inhomogeneity.The Imaging Science Journal(4), 520-539.Search in Google Scholar