Background: Speech pathology (SP) students report great difficulty as they experience academic and mental health concerns while completing their programs. Even with increased global attention on non-cognitive factors influencing academic performance, no study focusing on Filipino SP students has been done. Objectives: This study aimed to (1) explore the relationships among mindfulness, growth mindset, academic intrinsic motivation, and academic performance, and (2) investigate the influence of mindfulness, mindset, and motivation levels on academic performance. Methodology: SP undergraduate students from a university in Manila (n=89) responded to an online survey measuring the three variables. Grades were extracted and analyzed alongside survey scores. Correlation and multiple linear regression analysis were performed. Results: Higher mindfulness level was significantly related to better academic performance (rs(89) = -.235, p<.05). Correlation analysis further revealed a significant association between mindfulness and growth mindset (rs(89) = .390, p<.01); mindfulness and academic intrinsic motivation (rs(89) = .504, p<.01); and growth mindset and academic intrinsic motivation (rs(89) = .409, p<.01). No significant relationship was found between grades and growth mindset or motivation levels. Furthermore, regression analysis revealed that mindfulness, mindset, and motivation levels do not significantly predict grades (F(3,85)=.461, p=.710, R2=.016). Conclusion This study provides scientific findings to help educators develop a better understanding of Filipino health professions education student characteristics. Evidence on the significance of mindfulness in student performance is presented. It also provides new knowledge regarding the association between the constructs of mindfulness, growth mindset, and intrinsic motivation in this specific population.
Mindfulness ; Motivation ; Academic Performance

Background: The shift to online learning during the COVID-19 pandemic has caused students to experience several challenges in their academic lives. A strategy that may assist in mitigating these challenges and facilitating students' positive adaptation to online learning is the promotion of self-regulated learning (SRL). However, SRL is underexplored in the context of health sciences students. Objectives: This study aimed to describe the extent and examine the nature of SRL of allied health students in a fully remote learning environment. Methodology: This is a cross-sectional online survey study. Data were collected online using Qualtrics. Descriptive statistics and confirmatory factor analysis were used to determine the extent and nature of SRL, respectively. Results: Responses from 241 participants show that students had a mean self-regulated learning score of 82.80 out of 120 (SD=12.68). Of the dimensions of SRL, students had higher scores in environmental structuring, time management, and self-evaluation than the other dimensions. A six-factor second-order model of self-regulation showed adequate model-data fit (χ2=673.88, CFI=0.95, TLI=0.95, SRMR=0.09, RMSEA=0.09 [90% CI=0.08-0.09]). Conclusion Health science students showed a high level of SRL; SRL for these students is adequately measured using the six dimensions of goal setting, environmental structuring, tasks strategies, time management, help seeking, and self-evaluation. The results indicate the value of understanding the extent and nature of SRL as a first step in planning strategies to support learning and student success in remote environments.

Background: The shift to online learning during the COVID-19 pandemic has caused students to experience several challenges in their academic lives. A strategy that may assist in mitigating these challenges and facilitating students' positive adaptation to online learning is the promotion of self-regulated learning (SRL). However, SRL is underexplored in the context of health sciences students. Objectives: This study aimed to describe the extent and examine the nature of SRL of allied health students in a fully remote learning environment. Methodology: This is a cross-sectional online survey study. Data were collected online using Qualtrics. Descriptive statistics and confirmatory factor analysis were used to determine the extent and nature of SRL, respectively. Results: Responses from 241 participants show that students had a mean self-regulated learning score of 82.80 out of 120 (SD=12.68). Of the dimensions of SRL, students had higher scores in environmental structuring, time management, and self-evaluation than the other dimensions. A six-factor second-order model of self-regulation showed adequate model-data fit (χ2=673.88, CFI=0.95, TLI=0.95, SRMR=0.09, RMSEA=0.09 [90% CI=0.08-0.09]). Conclusion Health science students showed a high level of SRL; SRL for these students is adequately measured using the six dimensions of goal setting, environmental structuring, tasks strategies, time management, help seeking, and self-evaluation. The results indicate the value of understanding the extent and nature of SRL as a first step in planning strategies to support learning and student success in remote environments.
Surveys and Questionnaires