Surface and deep learning: a blended learning approach in preclinical years of medical school.

BACKGROUND: Significant challenges are arising around how to best enable peer communities, broaden educational reach, and innovate in pedagogy. While digital education can address these challenges, digital elements alone do not guarantee effective learning. This study reports a blended learning approach integrating online and face-to-face components, guided by the Student Approaches to Learning framework. METHODS: This study was carried out investigating learning in first and second year medical students over two academic years, 2019/20 and 2020/21. We evaluated: (1) comparison of students engaged with blended learning and traditional learning; and (2) student learning engaged with blended learning approach over a two-year preclinical curriculum. A revised two-factor study process questionnaire (R-SPQ-2F) evaluated students' surface/deep learning before and after an academic year. Learning experience (LE) questionnaire was administered over the domains of learning engagement, and outcomes of learning approach. In-depth interviews were carried out to understand the context of students' responses to the R-SPQ-2F and LE questionnaires. RESULTS: The R-SPQ-2F analysis indicated first year students maintained deep learning but second year students became neutral across the academic year, regardless of learning approach, with workload contributing to this outcome. R-SPQ-2F sub-scales showed that students engaged with blended learning maintained an intrinsic interest to learning, as compared to traditional learning which led to surface learning motives. The LE questionnaire showed students engaged with blended learning had deeper subject interest, and more positive perceptions of workload, feedback, and effectively developed skills and knowledge. However, peer interactions from blended learning were significantly lacking. In-depth interviews revealed that the flexibility and multi-modality of blended learning enabled learning, but the best use of these features require teacher support. Online interactions could be cultivated through intentional institutional efforts. CONCLUSIONS: This study highlights the importance of designing blended learning that leverages technology-enabled flexibility while prioritising collaborative, learner-centred spaces for deep engagement and knowledge construction.

Nursing students' approaches to learning in selected Malawian nursing schools: a cross-sectional study.

BACKGROUND: Students' approaches to learning are of essence in nursing education. This is because nursing is a profession where classroom learning leads to clinical performance. Although the literature recognizes student's approaches to learning as a significant aspect affecting the quality of students' learning, studies suggest that quality of learning has not been highly achieved in Malawian nursing colleges. Currently, there is a scarcity of empirical data on the learning approaches that Malawian nursing and midwifery students in nursing colleges employ. This study assessed the different approaches to learning among nursing and midwifery students in selected Malawian nursing colleges. METHODS: This was a cross- sectional study that employed quantitative methods. The target population was nursing and midwifery students pursuing nursing diplomas from Nkhoma College of Nursing, Ekwendeni College of Health Sciences and Malawi College of Health Sciences. A total of 251 students were sampled randomly from the three nursing colleges. Data was collected through a self-administered questionnaire (R-SPQ-2 F) by Biggs. The data was analyzed using chi-square and binary logistic regression. In this study Cronbach's alpha was 0.6. RESULTS: Most students had used a deep approach to learning (M = 3.201, SD = 0.623) than the surface approach (M = 2.757, SD = 0.732). Being in the age category of 16-20 had more likelihood of adopting a surface approach to learning compared to other age categories (X2 = 7.669, DF 2, P = .02). Students from Malawi College of Health Sciences were more likely to adopt a surface approach to learning compared to students from Nkhoma Nursing College and Ekwendeni College of Health Sciences (X2 = 12.388, df = 2, P = .002). CONCLUSION: A deep approach to learning emerged as the most preferred approach to learning which indirectly implies that most students attain meaningful learning. Age and environment are some of the key determinants associated with different learning approaches. More attention should be given to younger students during teaching and learning to promote deep learning.

Crossover of Engagement Among Academic Staff and Students During COVID-19.

Purpose: Globally, the pandemic had adverse consequences on the engagement and overall well-being of individuals. From a positive psychological perspective, this study drew on processes of social exchange, Kahn's theory on personal engagement and crossover theory, to explore the impact of mutual influences among academic staff and students on the engagement of both parties. Subsequently, the study explored the positive outcomes of engagement for both academic staff and students. Participants and Methods: Purposive, non-probability sampling was used, and cross-sectional data were collected through electronic surveys. The sample consisted of a total of 1594 students who were nested within 160 academic staff members. Results: Findings highlighted the influence of interpersonal factors such as high student leader-member exchange on student engagement and the impact of students' lack of reciprocity on the emotional engagement of academic staff. Findings further revealed that student engagement was positively related to a deep-learning approach and negatively related to a surface-learning approach. Furthermore, this study found a positive significant association between the emotional engagement and the psychological well-being of academic staff. Conclusion: Against the backdrop of the COVID-19 pandemic and to reduce the negative psychological and behavioural challenges resulting from the pandemic, this research intended to inform policy-makers in higher education of the impact that mutual influences among academic staff and students have on their engagement and the benefits of engagement in cultivating a culture of life-long learning among students and improving the psychological well-being of academic staff.

The impact of self-directed learning experience and course experience on learning satisfaction of university students in blended learning environments: the mediating role of deep and surface learning approach.

Introduction: With the rapid development of technology and the evolution of educational ideas, the blended learning model has become the new norm in higher education. Therefore, based on Biggs' learning process theory, this study aims to investigate the relationships between learning experience, learning approaches, and learning satisfaction of university students within the Chinese blended learning context to explore the dynamic process and mechanism of blended learning. Methods: The Chinese modified versions of the Self-Rating Scale of Self-Directed Learning, the Course Experience Questionnaire, and the Revised Study Process Questionnaire were administered to 939 Chinese university first-grade students (444 men, 495 women). The data were analyzed by using the covariance-based structural equation modeling (CB-SEM) technique. Results: The results demonstrated that, among Chinese university students, there were significant correlations between the self-directed learning experience, the course experience, the deep learning approach, the surface learning approach, and learning satisfaction. Additionally, the learning approaches mediated the association between the self-directed learning experience and learning satisfaction and between the course experience and learning satisfaction. Conclusion: This study provides insight into the facilitative effect of university students' self-directed learning experience and course experience on their learning satisfaction and how this effect is triggered through the mediating role of different learning approaches with the blended learning context. This study shows the learning behaviors and psychology in a blended learning environment, thus revealing the new learning characteristics of university students by integrating the self-learning characteristics of blended learning into the framework of learning process theory. The findings contribute to assisting blended learning providers in delivering targeted interventions to enhance students' learning satisfaction.

Factors Associated with Motivation in Medical Students: A 30-Month Longitudinal Study.

This longitudinal study aimed to assess the factors associated with motivation in 303 Brazilian medical students after a 30-month follow-up. Their demographics, study habits, sleep quality, motivation (Brazilian version of the Academic Motivation Scale-BAMS), learning approaches (R-SPQ-2F scale), and stressors (MSSF-Medical Student Stress Factor scale) were examined. We found an increase in amotivation and extrinsic motivation through external regulation (e.g., "I come to school to earn a degree") and a decrease in intrinsic motivation and extrinsic motivation through integrated regulation (e.g., "because studying broadens our horizons") in medical students after the 30-month follow-up. Students in earlier stages of medical training showed greater increases in amotivation. Factors such as the learning approach, hours spent studying, sex, stressors, studying just before examinations, and sleep problems were predictors of the different dimensions of motivation. Medical students' motivation changed negatively as medical training progressed.

The role of goal orientations and learning approaches in explaining digital concept mapping utilization in problem-based learning.

Concept mapping has received increasing attention and application in higher education as an effective instructional strategy. However, little is known about how higher-education students' different motivations for learning might be related to the way they use digital concept mapping for effective learning. This study sought to design and assess an intervention program that employs digital concept mapping in problem-based learning and to evaluate the effectiveness of using this tool among students with different achievement-goal profiles on learning and deep versus surface approaches to learning. Data were collected from 129 undergraduate students from three higher-education institutions located in Israel and Austria and analyzed by using Partial Least Squares - Structural Equation Modeling. The findings indicated that digital concept mapping could benefit higher-education students, specifically at the cognitive level, in order to specify and identify the interrelationships among arguments and to learn about the topic. Another finding showed that deep learners and mastery-approach learners perceived concept mapping as an effective tool mainly for self-regulating their learning during the intervention. It is suggested to find ways to scaffold surface learners' involvement in activities that enable them to solve complex problems by underlining the benefits of technology-enabled platforms for their learning and thus have them acknowledge concept mapping as a practice that fosters meaningful learning.

Anxiety towards Statistics and Its Relationship with Students' Attitudes and Learning Approach.

Many university students have difficulties when facing statistics related tasks, leading to an increase in their levels of anxiety and poor performance. Researchers have identified negative attitudes towards statistics, which have been shaped through students' secondary education experience, as a major driver for their failure. In this study we want to uncover the causal recipes of attitudes leading to high and low levels of anxiety in secondary education students, and the role that the learning approach plays in these relationships. We used fuzzy sets comparative qualitative analysis (fsQCA) in a sample of 325 students surveyed on the multifactorial scale of attitudes toward statistics (MSATS) and the revised two factor study process questionnaire (R-SPQ-2F). The results indicate that, respectively, a high or a low level of self-confidence is the most important and a sufficient condition by itself for achieving a low or a high level of anxiety, while the learning approaches and other attitudes are only present in other causal combinations that represent a small number of cases.

Most surface learning in the third year: Dental student learning approaches and implications for curriculum and assessment.

CONTEXT: Dental schools seek to educate students to become inclined toward self-directed, lifelong learning, an important mindset for healthcare professionals that may be linked to deep versus surface learning approaches. Students using a deep learning approach are more intrinsically motivated and actively engage in higher-order thinking, while those using a surface learning approach are more extrinsically motivated and aim for passive learning. OBJECTIVES: Because student learning approaches can be influenced by a wide variety of learning experiences, we sought to understand how student approaches to learning differ by year in dental school and are related to academic achievement. METHODS: A total of 244 students in a 4-year dental school program in South Korea voluntarily participated in this study. We collected data on school year and academic achievement, and approaches to learning of participants using the validated Study Processes Questionnaire to assess learning approach, which included the constructs of deep motive, deep strategy, surface motive, and surface strategy. RESULTS: We conducted 3 sets of statistical analyses and found that most students adopted a deep approach to learning (DAL) in their first and second years (Y1 and Y2), with third-year students (Y3) showing heavy dependence on a surface approach to learning (SAL) and sharp drops in intrinsic motives. Student approaches to learning were not significantly related to academic achievement. In the first 2 years of dental school, students tended to adopt a DAL, and viewed their learning as personal growth and their profession as necessitating deep intellectual inquiry. CONCLUSIONS: In the third year, the change from a DAL to a SAL coincided with entry to clinical training. The lack of integration of biomedical science (Y1 and Y2) and clinical science (Y3 and Y4), and increased stress in the initial clinical context may account for this difference. The poor correlation between a DAL and high achievement may indicate a need for change in assessment methods. This study hopes to stimulate reflection regarding student learning approaches and educational efforts that prepare future dentists for lifelong learning.

What motivates academic dishonesty in students? A reinforcement sensitivity theory explanation.

BACKGROUND: Academic dishonesty (AD) is an increasing challenge for universities worldwide. The rise of the Internet has further increased opportunities for students to cheat. AIMS: In this study, we investigate the role of personality traits defined within Reinforcement Sensitivity Theory (RST) as potential determinants of AD. RST defines behaviour as resulting from approach (Reward Interest/reactivity, goal-drive, and Impulsivity) and avoidance (behavioural inhibition and Fight-Flight-Freeze) motivations. We further consider the role of deep, surface, or achieving study motivations in mediating/moderating the relationship between personality and AD. SAMPLE: A sample of UK undergraduates (N = 240). METHOD: All participants completed the RST Personality Questionnaire, a short-form version of the study process questionnaire and a measure of engagement in AD, its perceived prevalence, and seriousness. RESULTS: Results showed that RST traits account for additional variance in AD. Mediation analysis suggested that GDP predicted dishonesty indirectly via a surface study approach while the indirect effect via deep study processes suggested dishonesty was not likely. Likelihood of engagement in AD was positively associated with personality traits reflecting Impulsivity and Fight-Flight-Freeze behaviours. Surface study motivation moderated the Impulsivity effect and achieving motivation the FFFS effect such that cheating was even more likely when high levels of these processes were used. CONCLUSIONS: The findings suggest that motivational personality traits defined within RST can explain variance in the likelihood of engaging in dishonest academic behaviours.

Relationship between Learning Strategies and Academic Achievement in Medical College and Graduate Medical School Students.

PURPOSE: Cognitive researchers assume that learning strategies are related to three types of learning processes: 'surface learning,' 'strategy learning,' and 'deep learning.' A 'deep learning' approach is widely accepted to be associated with long-term success in medical school, contributing to the development of doctors who take desirable approaches to self-directed learning and studying in medical practice. Therefore, this study measured how medical students learn and determined whether the use of learning strategies differs between high and low academic performers. In addition, we compared medical college students with graduate medical school students with regard to the use of learning strategies. METHODS: To explore the learning strategies of students and their relation to academic achievement, we performed LIST (Learning Strategies in Higher Education Inventory) in a sample of 111 Year 1 medical students. RESULTS: Medical students with high academic performance scored higher in most learning strategies than low performers. Additionally, learning strategies were used more frequently by graduate medical school students than medical students, specifically with regard to organization, elaboration, critical thinking, and time management. CONCLUSION: We conclude that learning strategy instruments provide information that enables medical students to optimize their study. To foster deep learning and intrinsic motivation in students, it might also be necessary to adopt more changes in teaching and assessment in medical schools.

Relationship between Learning Strategies and Academic Achievement in Medical College and Graduate Medical School Students / 한국의학교육

PURPOSE: Cognitive researchers assume that learning strategies are related to three types of learning processes: 'surface learning,' 'strategy learning,' and 'deep learning.' A 'deep learning' approach is widely accepted to be associated with long-term success in medical school, contributing to the development of doctors who take desirable approaches to self-directed learning and studying in medical practice. Therefore, this study measured how medical students learn and determined whether the use of learning strategies differs between high and low academic performers. In addition, we compared medical college students with graduate medical school students with regard to the use of learning strategies. METHODS: To explore the learning strategies of students and their relation to academic achievement, we performed LIST (Learning Strategies in Higher Education Inventory) in a sample of 111 Year 1 medical students. RESULTS: Medical students with high academic performance scored higher in most learning strategies than low performers. Additionally, learning strategies were used more frequently by graduate medical school students than medical students, specifically with regard to organization, elaboration, critical thinking, and time management. CONCLUSION: We conclude that learning strategy instruments provide information that enables medical students to optimize their study. To foster deep learning and intrinsic motivation in students, it might also be necessary to adopt more changes in teaching and assessment in medical schools.