Introduction: Personal growth initiative (PGI) is an "intentional involvement in changing and developing as a person." A student who has higher level of PGI is said to show higher academic performance because higher level of PGI might increase the student's contribution and achievement in life.

Aim: This study aimed to explore the association between academic performance and PGI among undergraduate dental students.

Methods: A cross-sectional study was carried out among 287 2, 3, 4 year dental students and interns of Panineeya Institute of Dental Sciences, Dilsukhnagar, Hyderabad. Personal growth was evaluated by Personal Growth Initiative Scale-II (PGIS-II) along with their university academic performance in the last year. SPSS package version 21.0, Kruskal-Wallis test, and Mann-Whitney U-test were used for comparison among variables.

Results: A significant difference ( = 0.05) was observed for PGIS subscale "readiness for change," with a higher mean score among 4-year students (3.59 ± 1.07). However, females showed higher mean score for all subscales of PGIS except "Using resources" and total PGIS, but there is no significant gender difference. While higher mean scores for all subscales and total PGIS were observed among students who attained > 75% in their last year university examination, significant difference was observed for subscale "Intentional behavior" ( = 0.02) only.

Conclusion: PGI scale plays a crucial role among students to experience increased levels of well-being, develop them positively, and adapt to adverse situations.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052781PMC
http://dx.doi.org/10.4103/jehp.jehp_204_17DOI Listing

Publication Analysis

Top Keywords

academic performance
16
personal growth
16
undergraduate dental
8
dental students
8
growth initiative
8
higher level
8
level pgi
8
higher score
8
total pgis
8
higher
6

Similar Publications

Dataset of video game-based assessments in digital culture courses at Indoamerica University.

Data Brief

February 2025

Facultad de Educación, Universidad Indoamérica, Quito, Ecuador.

This dataset contains evaluation results from video game-based assessments administered to first-level university students across six different academic programs at Universidad Indoamérica from October 2022 to August 2024. The data were collected using an adapted version of Pacman through the ClassTools.net platform, where traditional quiz questions were integrated into gameplay mechanics.

View Article and Find Full Text PDF

Background: Unhealthy alcohol use is a leading cause of preventable mortality and a risk factor for an array of social and health problems. The Intervention in Small primary care Practices to Implement Reduction in unhealthy alcohol use (INSPIRE) study is part of a nationwide campaign to improve the identification and treatment of patients engaging in unhealthy alcohol use.

Methods: We conducted a single arm, pragmatic study consisting of seventeen primary care practices in the Chicago metropolitan area, Wisconsin, and California across two waves with a 6-month latent period, a 12-month intervention period, followed by a 6-month sustainability period.

View Article and Find Full Text PDF

Sensors play an important role in both the continuous monitoring and intermittent analyses, which are essential for the study of wastewater treatment plant management and conducting related research. Given the significant environmental impact of the issues involved, accurate measurement of the volume of water flowing into and out of treatment plants is a key parameter for plant management, ecotoxicological studies and academic research programs. Traditionally, flow measurements have been based on calibrated weirs or venturi flumes, using water level measurements for conversion into flow, according to established relationships.

View Article and Find Full Text PDF

Background: EUS-guided fine-needle biopsy is the procedure of choice for the diagnosis of pancreatic ductal adenocarcinoma (PDAC). Nevertheless, the samples obtained are small and require expertise in pathology, whereas the diagnosis is difficult in view of the scarcity of malignant cells and the important desmoplastic reaction of these tumors. With the help of artificial intelligence, the deep learning architectures produce a fast, accurate, and automated approach for PDAC image segmentation based on whole-slide imaging.

View Article and Find Full Text PDF

Robust kernel extreme learning machines for postgraduate learning performance prediction.

Heliyon

January 2025

College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China.

In the context of graduate learning in China, mentors are the teachers with the highest frequency of contact and the closest relationships with postgraduate students. Nevertheless, a number of issues pertaining to the relationship between mentors and postgraduate students have emerged with increasing frequency in recent years, resulting in a notable decline in the quality of graduate education. In this paper, we investigate the influence of the relationship between mentors and postgraduate students on the postgraduate learning performance, with postgraduate students' admission motivation and learning pressure acting as moderating variables.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!