Prediction of academic achievement based on learning strategies and outcome expectations among medical students

Self-Regulated Learning and Learning Outcomes in Undergraduate and Graduate Medical Education: A Meta-Analysis

Self-regulated learning (SRL) plays a pivotal role in medical education. There is a pressing need for a meta-analytical review to comprehensively evaluate the effect sizes of SRL strategies across diverse learning outcomes and levels of medical trainees. A meta-analysis was executed by searching five databases and resulted in 61 studies that met our inclusion criteria. A three-level meta-analysis was performed to examine the association between SRL strategies and various levels of learning outcomes (i.e., affective, cognitive, and behavioral learning outcomes). Moderator analyses were conducted using meta-regression, considering factors such as types of learning outcomes, training levels, SRL subscales, and quality of the studies. The analysis yielded an average effect size of .212, using Pearson's correlation coefficient, demonstrating a positive and significant association between SRL strategies and overall learning outcomes. Although our moderator analyses indicated that SRL subscales and study quality did not significantly influence the relationship between SRL strategies and learning outcomes, SRL strategies had a more pronounced effect on affective outcomes than on test scores, behavioral outcomes, and mental health outcomes. In addition, the association between SRL strategies and learning outcomes were significantly higher among the clerkship phase of undergraduate medical education than the pre-clerkship phase.

Structured interviews on self-regulated learning strategies of medical students in the final year of medical school

BACKGROUND

In the final year of medical school, the educational focus is on experiences in the clinical environment. This is where students acquire most of their practical knowledge for their future career and need to optimise their Self-Regulated Learning (SRL) strategies. Hence, the current study aims to explore which SRL strategies medical students use during their clerkships in different learning settings.

METHODS

Structured interviews were conducted between May 2019 and December 2020 with 43 medical students during their final year in Munich, Germany. The students were surveyed about their SRL strategies. The transcribed data were thematically analysed using the measurements Strategy Use (SU) and Strategy Frequency (SF).

RESULTS

Interview data were organized into 11 SRL strategy categories. The most used SRL strategy in general was "seeking information in the internet in form of a text" (SU: 1; SF: 2.605), with an e-learning tool; followed by "seeking social assistance from doctors" (SU: 0.977; SF: 1.884), and "seeking information in books" (SU: 0.884; SF: 1.419). There were differences in the usage of SRL in different learning contexts between female and male students. For example, 95.3% of students are "seeking social assistance from doctors" when having difficulties on the ward, but only 55.8% when they need help with written tasks (e.g. medical letter). The results show a difference in SRL usage when preparing for oral-practical (79.1% books) and written (97.7% e-learning tool) exam. However, it also appears that some students do not have SRL strategies for certain situations, mostly due to a lack of time.

CONCLUSION

Medical students in the clinical phase are adapting their SRL strategy to the learning situation. To better support students´ SRL, it is necessary to ensure availability for their preferred resources: e-learning tool and experienced physicians as supervisors. Future research should focus on strategies to handle the limited time during clerkships.

Exploring the effects of health behaviors and mental health on students' academic achievement: a cross-sectional study on lebanese university students

BACKGROUND

High academic achievement, an important determinant of future success, is known to be influenced by many factors including dietary behavior, lifestyle and mental health, among others. The objectives of the current study were to explore university students' nutritive habits, daily lifestyle, and mental status, and to scrutinize the associations between these factors and students' academic achievement.

METHODS

A cross-sectional study was conducted among students of a private Lebanese university, using an electronic survey. Diet, eating habits, physical activity, sleep, and smoking were evaluated, and mental health was assessed using a validated Arabic version of the combined Depression, Anxiety, Stress Score (DASS-8). Academic achievement was measured using the Subjective Academic Achievement Scale (SAAS).

RESULTS

A total of 1677 students participated in the questionnaire. The results of a linear regression taking the SAAS score as the dependent variable, showed that students who have a non-scientific versus scientific major (Beta = 0.53), and having breakfast ≥ 4 days per week compared to less than 2 days (Beta = 0.28) were significantly associated with higher SAAS scores. More psychological distress (Beta = - 0.06) and a higher number of days of eating out (Beta = - 0.07) were significantly associated with lower SAAS scores.

CONCLUSIONS

This is the first investigation on a Lebanese university students' academic success in relation to lifestyle and mental profiles. Better academic achievement was demonstrated by students having healthier dietary and lifestyle habits, as well as less distressing mental status. Such results, in light of the compounded and unprecedented crises with which Lebanon has been assailed, suggest the need to focus on promoting healthy habits among students in higher education as a possible driver of better academic success.

Perceived parenting style and Chinese nursing undergraduates' learning motivation: The chain mediating roles of self-efficacy and positive coping style

AIM

The aim of this study was to examine the chain mediating effects of self-efficacy and positive coping style on the relationship between parenting style and learning motivation in Chinese nursing students.

BACKGROUND

Despite the abundance of literature that focuses on learning motivation, there is a lack of research that accurately and thoroughly examines the factors that influence learning motivation among nursing students.

DESIGN

This study involved a cross-sectional design.

METHODS

In total, 677 Chinese undergraduate nursing students completed the parental bonding instrument, the general self-efficacy scale, the simplified coping style questionnaire, and the learning motivation scale. A structural equation model was performed with AMOS 26.0 to explore the influence paths of variables and the mediating effects of self-efficacy and coping style.

RESULTS

Parental care positively predicted intrinsic learning motivation directly or indirectly through the mediating effects of self-efficacy (B = 0.17, 95% CI: 0.12-0.23) and positive coping style (B = 0.03, 95% CI: 0.01-0.06), and this mediating effect contributed 54.06% of the total effect. Parental encouraging autonomy positively predicted intrinsic learning motivation indirectly through the mediating effects of self-efficacy (B = 0.17, 95% CI: 0.12-0.24) and positive coping style (B = 0.03, 95% CI: 0.01-0.06), and this mediating effect contributed 71.42% of the total effect. Parental control negatively influenced intrinsic learning motivation directly or indirectly through the mediating effects of self-efficacy (B = -0.10, 95% CI: -0.15 to -0.04) and positive coping style (B = -0.02, 95% CI: -0.05 to -0.01), and this mediating effect contributed 42.85% of the total effect.

CONCLUSION

Parents should provide more care and autonomy to nursing students and reduce control over them. Nurse educators should consider targeted improvement strategies to improve the level of self-efficacy and positive coping style of nursing undergraduates to enable them to maintain a more intrinsic learning motivation.

Effects of a Complex Physical Activity Program on Children's Arithmetic Problem Solving and Arithmetic Reasoning Abilities

Research has shown that higher levels of physical activity are associated with better cognitive performance in children. However, the benefits of physical activity on academic achievement and specifically on mathematics performance need to be further explored. Therefore, this study aimed to investigate the effects of a complex physical activity (CPA) intervention program, including cognitive involvement, on children’s mathematics performance. The participants were 128 children (aged 12−13 years) attending third grade in three middle schools. They were randomly allocated into a CPA intervention (n = 64) or a waitlist control group (n = 64), the latter of which was given a regular and easy-to-perform activity program. At baseline and after the intervention, students’ physical fitness was measured using a battery of standardized motor tests (20 m shuttle run test, curl-up test, push-up test, and sit and reach test). In addition, the AC-MT 11-14 test was administered to allow a standardized and comprehensive assessment of arithmetic problem-solving and arithmetic reasoning abilities. In comparison to the control, the intervention group showed significant improvements (p < 0.001) in comprehension and production (d = 1.88), arithmetic reasoning (d = 2.50), and problem solving (d = 1.32), as well as in 20 m shuttle run test (d = 1.81), push-up test (d = 1.88), curl-up (d = 3.52), and sit and reach (d = 2.52). No significant changes were found in the control group. In conclusion, findings showed that a 12-week CPA intervention program can improve mathematical performance in children in the third grade of middle school. CPA intervention may be an effective method to improve academic performance and avoid student failure.

Personality traits and emotional status affecting academic achievements of medical students: testifying mediating effect of learning strategies

PURPOSE

The purpose of this study is to identify possible causal relationships among personality traits, emotional status, learning strategies, and academic achievements of medical students and to testify mediating effect of learning strategies in these relationships.

METHODS

The study subjects are 424 medical students in the academic year of 2020 at the Gyeongsang National University, Jinju, Korea. Using the Multi-dimensional Learning Strategy Test-II, we assessed the students' academic achievements with personality traits, emotional status, and learning strategies. This study employed Structural Equation Modelling to explore the causal relationships among the latent variables.

RESULTS

In the path model, personality traits directly affected academic achievements (β=0.285, p&lt;0.05) and indirectly affected academic achievements via emotional status (β=0.063, p&lt;0.01) and via learning strategies (β=0.244, p&lt;0.05), respectively. Further, personality traits indirectly affected academic achievements via emotional status first and learning strategies next (β=0.019, p&lt;0.05). Personality traits indirectly affected academic achievements through three multiple paths in the model (β=0.326, p&lt;0.05). Learning strategies partially mediated the relationship between personality traits and academic achievements as well as the relationship between emotional status and academic achievements of medical students.

CONCLUSION

Study findings proved constructing the causal relationships among personality traits, emotional status, learning strategies, and academic achievements of medical students, thus supporting our hypotheses. Early habits of self-regulated learning are essential for the successful academic achievements of medical students. Therefore, medical students should know how to regulate personality traits and control emotional status, significantly affecting learning strategies.

Student engagement in organising extracurricular activities: Does it matter to academic achievement?

This retrospective correlational study aimed to clarify the relationship between student engagement in organising extracurricular activities (ECAs) and academic achievement among pre-clerkship students. Data were from pre-clerkship students who enrolled during the 2012-2016 academic years at the Faculty of Medicine, Chulalongkorn University. Each cohort was followed for three consecutive years from the first to the third year of their 6-year program. The dependent variable was academic achievement, measured by grade point average (GPA). The independent variable was the level of involvement in organising ECAs, divided into breadth and intensity for each type of involvement. The results revealed that academic achievement had a linear correlation with the frequency of organising educational activities (r[1463] = 0.10; p < 0.001) and the frequency of organising community development and volunteering activities (r[1463] = -0.057; p = 0.030). Additionally, academic achievement had a curvilinear relationship with the frequency of organising recreational and miscellaneous activities, with a point of diminishing return at 1 activity per 3 following years. In summary, there were three relationships - positive linear, negative linear, and curvilinear - between academic achievement and student engagement in ECAs, based on the type of activity. Each should be supported in different ways to improve academic achievement.

Perception of educational environment with an assessment of motivational learning strategies and emotional intelligence as factors affecting medical students' academic achievement

BACKGROUND

This study aimed to investigate how medical students perceive their educational environment, as well as the implications of motivation, learning strategies, and the factor of emotional intelligence on academic achievement.

MATERIALS AND METHODS

In a cross-sectional study, 3384 undergraduate students were recruited from randomly selected Egyptian medical colleges. Students from second to final year, taking fundamental and clinical courses and, at a minimum, three professional exams, were enrolled and subjected to the Dundee Ready Educational Environment Measure scale, the Motivated Strategies for Learning Questionnaire, and Emotional intelligence questionnaire.

RESULTS

The overall mean age of the studied students was 21.42 ± 1.61 years. Females represented 63.5%, rural residents were 52.2% and students with enough income represented 88.0%. The traditional system adopted 28.4% of the students versus 71.6% in the integrated system. Linear regression using path analysis was conducted to study the predictors of academic achievement, and it revealed that motivation was the highly significant predictor of academic achievement (β = 2.68, CI95%:2.35-3.05, P < 0.001), followed by learning (β = 1.09, CI95%:0.80-1.41, P < 0.001), emotional intelligence (β = 0.92, CI95%:0.87-0.97, P < 0.001), and the educational environment (β = 0.14, CI95%:0.13-0.15, P < 0.001).

CONCLUSION

The study's findings have implications for medical educators trying to understand the personal factors that influence learning and performance in medical school. Students' motivation was the highly significant predictor of academic achievement followed by learning, emotional intelligence, and educational environment. Perception of the learning environment had improved because of the integrated student-centered system, which fosters motivation and emotional intelligence. To improve learners' EI, optimal learning, and educational outcomes, the EI components can be taught and fostered.

Pre-Clinical Medical Students' Use of Motivational and Cognitive Study Strategies During Anatomy Learning: A Three-Year Cross-Sectional Survey

Medical students' motivation and study strategies are crucial in determining academic performance. This study aimed to assess the motivation and learning strategies of medical students as well as their association with performance in anatomy examinations. The Motivated Strategies for Learning Questionnaire, two focus group discussions, and students' current anatomy cumulative grade point average (cGPA) were used. Generally, the medical students strongly felt that anatomy is fundamental to the practice of medicine and surgery. This result was consistent with high task value scores of 5.99 ± 1.25. They were also driven by extrinsic goal orientation (5.59 ± 1.42) and intrinsic goal orientation (5.08 ± 1.26). Most medical students typically relied on elaboration (5.35 ± 1.25) ahead of other cognitive strategies namely rehearsal (5.30 ± 1.11), organization (5.15 ± 1.34), and lowest-rated critical thinking (4.77 ± 1.19). The students also relied on resource management strategies, effort regulation (5.15 ± 1.20) and time and study environment regulation (5.03 ± 1.03) more than the moderately scored peer learning (4.95 ± 1.50) and help-seeking (4.95 ± 1.09). In the focus group discussions, students reported that they often narrate or explain to each other what they would have read and understood from anatomy lectures, tutorials, and textbooks. They also bemoaned the lack of institutional support for stress burdens. The motivation and learning strategies subscales were not correlated with anatomy cGPA. Males were driven by extrinsic goals and experienced significantly higher levels of test anxiety than females (P < 0.05). Knowing the motivation and learning strategies students employ early in the medical curriculum can be leveraged to promote self-directed learning and academic achievement.

The Integration of Prelaboratory Assignments within Neuroanatomy Augment Academic Performance, Increase Engagement, and Enhance Intrinsic Motivation in Students

The study of neuroanatomy imposes a significant cognitive load on students since it includes huge factual information and therefore demands diverse learning strategies. In addition, a significant amount of teaching is carried out through human brain demonstrations, due to limited opportunities for cadaveric dissection. However, reports suggest that students often attend these demonstrations with limited preparation, which detrimentally impacts their learning. In the context of student learning, greater levels of engagement and intrinsic motivation (IM) are associated with better academic performance. However, the maintenance of engagement and the IM of students in neuroanatomy is often challenging for educators. Therefore, this study aimed to explore the role of prelaboratory assignments (PLAs) in the improvement of academic performance, augmentation of engagement, and enhancement of IM in occupational therapy students enrolled in a human neuroanatomy course. One cohort of students in the course was expected to complete PLAs prior to each brain demonstration session. The PLAs contained a list of structures, and students were expected to write a brief anatomical description of each structure. Another cohort of students who were not provided with similar PLAs constituted the control group. Students who completed PLAs had a higher score on the final examinations as compared to students who were not required to complete PLAs. These students also demonstrated greater engagement and IM, and indicated that they perceived PLAs to be valuable in the learning of neuroanatomy. Therefore, PLAs represent a useful teaching tool in the neuroanatomy curriculum.

What Matters in Online Education: Exploring the Impacts of Instructional Interactions on Learning Outcomes

Instructional interactions, which includes student-student interaction (SS), student-teacher interaction (ST), and student-content interaction (SC), are crucial factors affecting the learning outcomes in online education. The current study aims to explore the effects of instructional interactions on individuals' learning outcomes (i.e., academic performance and learning satisfaction) based on the Interactive Equivalence Theory by conducting two empirical studies. In Study 1, we explored the direct relationships between instructional interactions and learning outcomes. A quasi-experimental design was used to manipulate the two groups of subjects (n 1 = 192; n 2 = 195), and the results show that not all of the three types of interaction can significantly positively predict learning satisfaction, among which ST cannot significantly predict learning satisfaction. When the total amount of instructional interactions is constant, adjusting the relative level of the three types of instructional interactions can effectively improve the learning outcomes to some extent. We further probed into the mediating effects of task value and self-regulated learning on the relationships between instructional interactions and learning outcomes in Study 2. We conducted an online survey and collected 374 valid data. The results showed that task values mediated the relationship between SS and learning satisfaction. In addition, SC can not only directly affect learning satisfaction, but also affect it through task value and self-regulated learning respectively, or via chain mediations of both task value and self-regulated learning. Our findings enrich the previous instructional interactions research and provide reference for online education curriculum design.

Student, Faculty, and Coach Perspectives on Why Athletes Excel in Medical School: A Qualitative Analysis

Phenomenon Medical schools are tasked with selecting applicants who will excel in a rigorous curriculum and successfully perform as future physicians. While many studies have assessed quantitative prematriculation data for predicting success in medical school, fewer studies have assessed for qualitative prematriculation factors influencing medical school performance. A recent study revealed that medical students with at least one year of varsity level college athletics participation outperformed their peers on United States Medical Licensing board exams and clinical clerkships. The current study sought to explore medical student, medical school faculty, and college coach perspectives about factors explaining why medical students with collegiate athletic experience succeed in medical school. Approach: In 2019, the authors conducted semi-structured interviews with medical students with collegiate athletic experience, medical school faculty with experience educating student athletes, and college coaches with experience training student athletes who matriculated into medical school. The interview transcripts were systematically coded and analyzed for themes using a grounded theory approach. Participants were recruited and interviewed until saturation of data was reached. Findings: Fifteen medical students with collegiate athletic experience, five medical school faculty, and three collegiate coaches participated in the study. Six themes were identified as important factors explaining the academic success of these students in medical school and each of these themes appeared in student, faculty, and coach interviews: goal setting, goal pursuit, and performance appraisal; development of time management, planning, and organizational skills; development of team values and teamwork skills; development of communication and interpersonal skills; acceptance of, coping strategies for, and resilient response to stress and adversity; and prioritization of personal wellness. Participants described meaningful connections between these attributes and skills, suggesting the students' development, transfer, and application of them is interrelated. Insights: In this study, academic success of medical students with collegiate athletic experience was attributed to specific skills and attributes developed during college. The grounded theory life skills transfer model can explain transfer of these attributes and skills from college to the medical school setting. Theoretical frameworks and empirical study findings from the sociology, educational psychology, sports psychology, and medical education literature provide helpful lenses for understanding why these skills and attributes confer success among student athletes in medical school. These findings offer important insights on skill development that may support the academic success of all medical students.

Mobile Phone Addiction and Academic Procrastination Negatively Impact Academic Achievement Among Chinese Medical Students

The problem of mobile phone addiction and academic procrastination among medical students has been widely acknowledged. This study aimed to explore the influence of demographic factors on mobile phone addiction, academic procrastination, and academic achievement among medical students. Further, it investigated the association between mobile phone addiction, academic procrastination, and academic achievement. This cross-sectional study was conducted between May and June 2019. A total of 3 511 medical students participated in an online questionnaire survey (effective response rate = 81.7%). Demographic factors, the Scale of Academic Achievement, the short scale of the Mobile Phone Problem Use (MPPUS-10), and the Academic Procrastination Scale–Short (APS-S) were used. Hierarchical multiple regression analysis revealed that the average scores for academic procrastination, mobile phone addiction, and academic achievement were 2.66 ± 0.91, 5.13 ± 1.53, and 4.51 ± 0.71, respectively. Moreover, there were significant differences in gender, grade, leadership experience, and family monthly income across mobile phone addiction, academic procrastination, and academic achievement. Mobile phone addiction was negatively associated with learning dedication, learning performance, and relationship facilitation. Academic procrastination was negatively associated with learning dedication, learning performance, relationship facilitation, and objective achievement. Mobile phone addiction and academic procrastination was revealed as prevalent among Chinese medical students, and negatively influences their academic achievement. It is critical to establish a more efficient learning environment for Chinese medical students to minimize the negative impact of mobile phone addiction and academic procrastination.

The association between resilience and academic performance among nursing students: a cross-sectional study in Japan

Objective: Medical science students, especially nursing students, are more likely to experience academic stress; therefore, resilience helps them focus on their lessons attentively. However, the results of a few existing studies regarding how resilience impacts the academic performance of medical science students are incongruent. This study aimed to investigate whether resilience impacts the academic performance of Japanese nursing students.

Methods: We conducted a cross-sectional, self-administered questionnaire survey from September to November 2020. A total of 229 undergraduate nursing students participated in this study; here, resilience was measured using the Bidimensional Resilience Scale, which includes innate factors (optimism, control, sociability, and vitality) and acquired factors (problem-solving, self-understanding, and understanding others). Academic performance was measured using the functional grade point average (f-GPA). Covariates were demographics, pre-entry academic performance levels, medical history, time spent walking, psychological distress, subjective economic status, and part-time jobs. Multivariate regression analyses were performed.

Results: Among the 229 participants, the f-GPA mean (standard deviation) was 2.93 (0.46). Only vitality was significantly associated with a higher f-GPA after multiple imputations (β = 0.06; 95% confidence interval = 0.03–0.09; P<0.01). The Poisson regression analysis of 212 participants with all data indicated that vitality was associated with the fourth quartile f-GPA (prevalence ratio, 1.05; 95% confidence interval, 1.03–1.08; P<0.01).

Conclusion: There was a significant association between the vitality of resilience components and academic performance among Japanese nursing students. This study suggests that an approach that develops resilience is necessary for the academic success of nursing students.

Design of English reading and learning management system in college education based on artificial intelligence

English reading learning in college education is an efficient means of English learning. However, most of the current English reading learning platforms in colleges and universities only put different English books on the platform in electronic form for students to read, which leads to blindness of reading. Based on artificial intelligence algorithms, this paper builds model function modules according to the needs of English reading and learning management in college education and implements system functions based on artificial intelligence algorithms. Moreover, according to the above design principles of personalized learning model and the characteristics of personalized network learning, this paper designs a personalized learning system based on meaningful learning theory. In addition, this article verifies and analyzes the model performance. The research results show that the model proposed in this paper has a certain effect.

Research on English teaching reform based on artificial intelligence matching model

In the context of information education, English teaching needs to match the development of artificial intelligence to improve the intelligence of English teaching. Based on the artificial intelligence matching model, this paper constructs an English teaching reform model based on artificial intelligence algorithms. Moreover, based on the FISST multi-target tracking method, this paper firstly models the target state and measurement as RFS, and then uses the Bayesian filtering method to recursively calculate the target posterior PDF, which can estimate the number and state of targets in real time and make up for the shortcomings of traditional tracking methods. In addition, the system proposed in this article can be applied to online English teaching. Through this system, teachers can realize one-to-one matching of students, identify the status of students in time, and give corresponding English teaching methods to different students. Finally, this paper designs a controlled experiment to analyze the performance of the algorithm proposed in this paper. The research results show that the model constructed in this paper has certain practical effects.

Quality Improvement Amid a Global Pandemic: A Virtual Curriculum for Medical Students in the Time of COVID-19

INTRODUCTION

The COVID-19 pandemic in March of 2020 necessitated the removal of medical students from direct patient care activities to prevent disease spread and to conserve personal protective equipment. In order for medical student education to continue, virtual and online electives were designed and implemented expeditiously. We created a virtual curriculum that taught quality improvement (QI) skills within the context of the global pandemic.

METHODS

This 4-week curriculum enrolled 16 students. Students completed the revised QI knowledge application tool (QIKAT-R) before and after the course to assess QI knowledge. Students completed prereading, online modules, and received lectures on QI and incident command systems. Each group designed their own QI project related to our hospital system's response to the pandemic. Finally, groups presented their projects at a peer symposium and completed peer evaluations.

RESULTS

Students' QIKAT-R scores improved throughout the course from a mean of 5.5 (SD = 1.3) to a mean of 7.5 (SD = 1.1; p < 0.001). Students reported that the virtual learning experience delivered the material effectively, and all students agreed that they would participate in QI work in the future.

DISCUSSION

Patient safety and QI topics are content areas for multiple medical licensing examinations. Virtual learning is an effective way to deliver QI content to medical students and residents, especially when projects are trainee-led, QI-trained faculty serve as mentors, and the projects harmonize with institutional goals. Our virtual pandemic-focused curriculum has demonstrated efficacy in increasing medical student QI knowledge.

A hybrid model for student grade prediction using support vector machine and neural network

It is difficult for the intelligent teaching system in colleges to effectively predict student grade, which makes it difficult to formulate follow-up teaching strategies. In order to improve the effect of student grade prediction, this study improves the neural network algorithm, combines support vector machines to build a student grade prediction model, and uses PCA to reduce the dimensionality of the sample data. The specific operation is realized by SPSS software. Moreover, this study removes redundant information inside the input vector and compresses multiple features into a few typical features as much as possible. In addition, the research set a control experiment to analyze the performance of the research model and compare the advantages and disadvantages of the classification prediction effect of traditional machine learning algorithms and neural network algorithms. Through experimental comparison, we can see that the model constructed in this paper has certain advantages in all aspects of parameter performance, and the prediction model proposed in this study has certain effects.

Differential Effects of Self- vs. External-Regulation on Learning Approaches, Academic Achievement, and Satisfaction in Undergraduate Students

The aim of this research was to determine the degree to which undergraduate students' learning approach, academic achievement and satisfaction were determined by the combination of an intrapersonal factor (self-regulation) and a interpersonal factor (contextual or regulatory teaching). The hypothesis proposed that greater combined regulation (internal and external) would be accompanied by more of a deep approach to learning, more satisfaction and higher achievement, while a lower level of combined regulation would determine a surface approach, less satisfaction and lower achievement. Within an ex post facto design by selection, 1036 university students completed validated questionnaires using an online tool. Several multivariate analyses were conducted. Results showed that the combination of self-regulation and external regulation can be ordered as levels along a five-point scale or heuristic. These levels linearly determine type of learning approach, academic achievement and satisfaction. Implications are established for quality and improvement of the teaching and learning process at university.