Professional identity formation-oriented mentoring technique as a method to improve self-regulated learning: A mixed-method study

Number of Citations:

Submitted: 1 December 2020
Accepted: 5 April 2021
Published online: 5 October, TAPS 2021, 6(4), 49-64
https://doi.org/10.29060/TAPS.2021-6-4/OA2443

Yasushi Matsuyama1, Hitoaki Okazaki1, Kazuhiko Kotani2, Yoshikazu Asada3, Shizukiyo Ishikawa1, Adam Jon Lebowitz4, Jimmie Leppink5 & Cees van der Vleuten6

1Medical Education Center, Jichi Medical University, Japan; 2Center for Community Medicine, Jichi Medical University, Japan; 3Center for Information, Jichi Medical University, Japan; 4Department of General Education, Jichi Medical University, Japan; 5Hull York Medical School, University of York, United Kingdom; 6School of Health Professions Education, Maastricht University, The Netherlands

Abstract

Introduction: Previous studies indicate that professional identity formation (PIF), the formation of a self-identity with the internalised values and norms of professionalism, may influence self-regulated learning (SRL). However, it remains unclear whether a PIF-oriented intervention can improve SRL in clinical education. The aim of this study was to explore whether a PIF-oriented mentoring platform improves SRL in a clinical clerkship.

Methods: A mixed-methods study was conducted. Forty-one students in a community-based clinical clerkship (CBCC) used a PIF-oriented mentoring platform. They articulated the values and norms of professionalism in a professional identity essay, elaborated on future professional self-image, and reflected on their current compared to future selves. They made a study plan while referring to PIF-based self-reflection and completed it. The control group of 41 students completed CBCC without the PIF-oriented mentoring platform. Changes in SRL between the two groups were quantitatively compared using the Motivated Strategies for Learning Questionnaire. We explore how PIF elements in the platform affected SRL by qualitative analysis of questionnaire and interview data.

Results: A moderate improvement in intrinsic goal orientation (p = 0.005, ε2 = 0.096) and a mild improvement in critical thinking (p = 0.041, ε2 = 0.051) were observed in the PIF-oriented platform group. Qualitative analysis revealed that the PIF-oriented platform fostered professional responsibility as a key to expanding learning goals. Gaining authentic knowledge professionally fostered critical thinking, and students began to elaborate knowledge in line with professional task processes.

Conclusion: A PIF-oriented mentoring platform helped students improve SRL during a clinical clerkship.

Keywords:           Self-Regulated Learning, Professional Identity Formation, Clinical Clerkship

Practice Highlights

  • Encourage students to verbalise their future self-image as a medical professional.
  • Encourage students to reflect on their current selves compared with their perceived future ones.
  • Promote in-depth communication between students and role models to foster self-regulated learning.
  • Train mentors to become professional role models as self-regulated learners.

I. INTRODUCTION

    Rapid advances in clinical knowledge require medical professionals to update their knowledge autonomously throughout their practice. Self-regulation in life-long learning has therefore become an important competency, and competency-based undergraduate medical education has emphasised students’ self-regulated learning (SRL) (Berkhout et al., 2018; Brydges & Butler, 2012; Frank, 2005; Sandars & Cleary, 2011). SRL is defined as learners’ active participation in their own learning processes from metacognitive, motivational, and behavioural perspectives (Zimmerman, 1989). In undergraduate education, SRL has been related to academic achievements (Artino, Cleary et al., 2014; Artino, Dong et al., 2012; Song et al., 2011; Turan & Konan, 2012), clinical skills (Cleary & Sandars, 2011) and emotional management (van Nguyen et al., 2015).

    Several reports have claimed that drastic changes in learning context, from structured learning in preclinical years to less-structured and complex learning in clinical clerkships, may be too challenging for students and lead to insufficient learning (Berkhout et al., 2015, 2018; Cho et al., 2017; van Houten-Schat et al., 2018). This question appears more serious in East Asian countries, including Japan, where strong teacher instruction in pre-university education and teacher-centred curricula are the norm (Iwata & Doi, 2017; Lam & Lam, 2009; Tagawa, 2008). In order to make the typically limited clinical clerkship period a fruitful learning opportunity, remediation for struggling students from the perspective of SRL might be important (Durning et al., 2011; van Houten-Schat et al., 2018).

    Several reports have shown that individualised mentoring intervention is effective in fostering SRL in clinical practice. For example, Aho et al. (2015) found that mentor-assisted SRL for surgical habits of residents led to more frequent practice and improved skills compared to peers. In Stuart et al. (2005), individualised guidance on strategies and learning plans raised students’ awareness of the learning process. However, the educational interventions undertaken in this study will focus on another contextual characteristic that may facilitate SRL – Professional Identity Formation (PIF) – defined according to Cruess et al. (2014, p.1447) as “a representation of self, achieved in stages over time during which the characteristics, values, and norms of the medical profession are internalised”.

    In response to advances in medical science and the increasingly diverse needs of society, “professional” attributes such as autonomy, self-regulation, and social responsibility have been emphasised, in addition to traditional moral and ethical education emphasising healer roles (Cruess & Cruess, 1997, 2019). Furthermore, formation of professional identity can result in individuals thinking, acting, and feeling like physicians (Cruess et al., 2014; Cruess & Cruess, 2019). During the formation of professional identity, medical students begin to perceive belonging to a professional community and increase attention to role models (Jarvis-Selinger et al., 2012; Kalet, Buckvar-Keltz, Harnik et al., 2017; Kalet, Buckvar-Keltz, Monson et al., 2018). Emulation of role models’ self-regulation in learning behaviour is also expected.

    People are more likely to interpret difficult experiences as task important when an accessible identity feels congruent to the task (Oyserman et al., 2017). In the context of this study, growing professional identity as a ‘physician-to-be’ might strengthen the perceived importance of engaging in challenges during clinical clerkships, and in self-regulating learning behaviours. In addition, when physicians perceive their identity as professionals, they begin to view daily learning tasks as high-stakes, and to self-regulate learning behaviours as coping strategies (Matsuyama et al., 2018). Another study has suggested that an explicit future professional self-image in medical students leads to self-reflection, increased attention to learning strategies of professional role models, and diversification of learning strategies (Matsuyama et al., 2019). Given that PIF is associated with motivational states, self-reflection, and diversified learning strategies, SRL may be facilitated by introduction of a PIF-oriented intervention.

    This study specifically focused on PIF as a facilitating factor for SRL, because previous studies  have suggested possible benefits of PIF-oriented education even for East Asian medical students, who are generally considered to have less SRL due to influence of pre-university education, with its strong faculty instruction and in-university teacher-centred curricula (Matsuyama et al., 2018, 2019).

    The purpose of this study was to examine whether SRL during clinical training can be fostered using a mentorship tool emphasising PIF, in addition to conventional mentorship by faculty members. In the pre- and post-clinical clerkship mentorship, students were asked to elaborate on their future self-image as professionals and compare their current and future selves to strengthen self-reflection under mentor support. Learners were aided in articulating their values and norms of medical professionalism by using the Professional Identity Essay (PIE) (Kalet, Buckvar-Keltz, Harnik et al., 2017; Kalet, Buckvar-Keltz, Monson et al., 2018), a self-administered questionnaire with 9 questions relevant to PIF. This encouraged mentors to understand the developmental stage of each learner’s professionalism and to provide individualised feedback on PIE and their future self-image. The feedback was also aimed at remediation for those whose self-images showed underdeveloped professionalism (low developmental stages in PIE). Study plans in the clinical clerkship were developed with reference to PIE-based self-images. We have named this platform ‘PIF-oriented mentoring platform for SRL (PIF-SRL)’. An overview of PIF-SRL is provided in Figure 1.

    Figure 1. Overview of the PIF-SRL and research data collection

    This studied centred on two research questions:

    1. Does PIF-SRL improve SRL during the period around the clinical clerkship?
    2. If so, how does the PIF-oriented elements in PIF-SRL improve SRL?

    This study was approved by the ethics committee of Jichi Medical University (reference number: 19-001).

    II. METHODS

    A. Settings

    1) Community-based clinical clerkship in Jichi Medical University: The mission of Jichi Medical University (JMU) is to educate students to become general practitioners competent in rural settings. Students are accepted per a quota system from each of Japan’s 47 prefectures. In the current curriculum at JMU, students complete lectures on almost every basic and clinical medicine area before the end of Year 3. From Year 4 to Year 6, students are permitted to participate in a clinical clerkship during which they receive training centred on taking patient histories and providing physical examination. Previously, most ward placements took place at the University’s affiliated hospital providing little opportunity for in-depth communication with role models in rural settings.

    The community-based clinical clerkship (CBCC) was introduced in 1998 (Okayama & Kajii, 2011). For 2 weeks from late August to early September in Year 5, CBCC students stay at a community hospital or clinic in their home prefecture where JMU graduates work. Every year, two to five JMU graduates per prefecture are appointed to be CBCC mentors based on their motivation to teach in their prefectural communities. JMU faculty ensures the instructional quality of mentors by conducting annual face-to-face faculty development sessions. In addition, standards for learning activities are proposed, including ambulatory care, home care, hospital care, placement in mobile clinics, on-call work, rehabilitation, health education, health check-ups, vaccination, day services, and placement in welfare facilities (welfare institutions or nursing homes for the aged) (Okayama & Kajii, 2011).

    Prior to the regular CBCC without PIF-SRL, students had several opportunities to communicate with mentors by telephone or e-mail. However, these communications did not provide sufficient opportunity for students to develop an image of future professionalism. We therefore felt that the communication framework in the regular CBCC did not fulfil its potential to stimulate PIF.

    2) PIF-SRL for the CBCC: The PIF-SRL platform (Matsuyama et al., 2021) used an online communication platform, Google Forms. Before the CBCC began, mentors were briefed multiple times in writing and verbally on the purpose of the PIF-SRL to ensure their mentorship was PIF-oriented. They were also asked to read a manual which provided specific step-by-step responses from their first interaction with medical students on Google Forms in mid-July to their post-practice reflection in early to mid-September (Figure 1).

    In the pre-clerkship phase, participants were asked to write their reflexive PIE. We used PIE because it is useful for helping learners articulate their own values and norms of medical professionalism, and for teachers providing feedback with rubrics based on Kegan’s constructive developmental theory (Kalet, Buckvar-Keltz, Harnik et al., 2017; Kalet, Buckvar-Keltz, Monson et al., 2018; Kegan, 1994). The present study used a Japanese version of the original English-language PIE form. Translation to Japanese was conducted by the main author (YM). To validate the translation accuracy, back-translation to English was conducted by a co-author (AJL), an American professor living in Japan who is literate in both English and Japanese. In accordance with in-depth talks based on PIE contents, students were encouraged to verbalise their future self-image and reflect on their current selves compared with their perceived future ones. The Question 6 of PART 2 in the PIF-SRL asked alumni mentors to describe their present self-image (Matsuyama et al., 2021). Students in PIF-SRL can also refer to this information when verbalising their future self-image.

    Additionally, students in PIF-SRL were asked to create study plans for CBCC based on gaps between their current and future selves, and identify one or more learning goals. Referring to these plans, alumni mentors observed students and gave just-in-time feedback. Also, mentors provided students with learning strategies to help them overcome potential future challenges. Apart from these instructions, mentors were essentially independent in their education of the medical students. After the two-week clerkship, students were asked to re-articulate their own future image and received feedback from their mentors by Google Forms (Figure 1).

    B. Subjects

    First, PIF-SRL mentors were selected. In 2018 and 2019, 94 JMU graduates registered as attending rural physicians for the CBCC. Among them, 20 candidates for PIF-SRL mentors in 2018 and 2019 were randomly selected and informed consent for their contribution to PIF-SRL in this study was requested. Eventually, 17 and 13 JMU alumni agreed to participate in 2018 and 2019, respectively, 8 of whom participated in both years.

    Independent of this study, the JMU Center for Community Medicine matched one alumnus with one to three students for the CBCC. The 30 PIF-SRL alumni-mentors were paired with 1 to 3 students each before informed consent was obtained. In this study, students paired with the 30 PIF-SRL alumni were chosen as candidates for the PIF-SRL group subjects. There were 22 and 20 candidates in 2018 and 2019, respectively. One candidate in 2019 declined participation. Eventually, 41 students were registered as subjects in the PIF-SRL group. Simultaneously, 41 control subjects were chosen from the same school year cohort and informed consent to participate was obtained. Control subjects experienced the regular CBCC mentorship without PIF-SRL. Because previous studies have shown that gender (Ray et al., 2003) and academic performance (Lucieer et al., 2016) might independently influence SRL development, participants in both groups were paired by gender and academic ranking from the previous year (Year 4).

    C. Procedures

    A convergent mixed method was chosen for the first research question ‘Does PIF-SRL improve SRL during the period around the clinical clerkship?’ to identify common data between quantitative and qualitative results (Creswell & Clark, 2017). Next, an explanatory mixed method was used to address the second research question ‘How does the PIF-oriented elements in PIF-SRL improve SRL?’. A rationale for this method is that follow-up qualitative approaches can explain quantitative results (Creswell & Clark, 2017). We conducted this mixed method study in the paradigm of pragmatism, which emphasises solutions to research questions and integrates qualitative and quantitative research results to obtain general findings (Shannon-Baker, 2016).

    1) Quantitative approach: Learner SRL levels were measured with a Japanese-language version of the Motivated Strategies for Learning Questionnaire (MSLQ-J) before (mid-July) and after (mid-September) subjects participated in CBCC with or without PIF-SRL. The MSLQ (Pintrich et al., 1991) is composed of 81 items with seven-point Likert scales quantifying levels of 9 types of SRL strategy (rehearsal, elaboration, organisation, critical thinking, metacognitive self-regulation, time and study environment, effort regulation, peer learning, and help seeking), and 6 variables of motivation states (intrinsic goal orientation, extrinsic goal orientation, task value, control of learning beliefs, self-efficacy for learning and performance, and test anxiety). All 81 items of the MSLQ were used as done previously in a medical school context (Cho et al., 2017) because it was believed the 15 SRL-related categories could multi-dimensionally identify differences between the PIF-SRL group and control group. Translation to Japanese was conducted by the main author (YM) and back-translation to English by a co-author (AJL). For the MSLQ validation, the Cronbach alpha and McDonald omega were measured for 15 categories (Matsuyama et al., 2021).

    2) Qualitative approach: To explore changes in motivation, strategies and reflective behaviours from self-reflection and study during the clinical clerkship, we created a questionnaire composed of seven questions (Matsuyama et al., 2021). All participants answered the questionnaire within two weeks after post-CBCC PIF-SRL mentoring. In late September 2019, one-on-one interviews were also conducted after intensive qualitative data analysis of the questionnaire from 41 participants in 2018 and 2019. Three interviewers familiar with the CBCC but not engaged in the assessment of Year 5 students conducted interviews in order to encourage interviewees to openly articulate their own perceptions. Twelve students in the 2019 PIF-SRL group consented to participate in interviews conducted in a semi-structured manner using an interview form with similar questions to those in the questionnaire (Matsuyama et al., 2021). The interviewers were instructed beforehand by the main author (YM) to obtain data about changes in perception regarding motivation, strategies and reflective behaviours after experiencing PIF-SRL. After collecting interview data from 10 students, the two main authors (YM and HO) found no additional meaningful codes emerging and, concluding that data saturation had been reached (Hennink et al., 2017), and stopped further interview data collection.

    D. Analysis

    1) Quantitative approach: The 15 MSLQ-J pre-intervention subcategory scores of the PIF-SRL group and control group were compared using Kruskal-Wallis one-way analysis of variance (ANOVA). After confirming that there were no statistically significant differences between the two groups, subtracted (post-pre) scores in the 15 MSLQ-J subcategories were compared between the two groups using Kruskal-Wallis one-way ANOVA. This non-parametric method was used because of considerable skewness in distribution in the scales of several items and outliers in other scales in MSLQ-J. A p-value < 0.05 was considered statistically significant. The effect sizes for comparisons were also calculated using ε2 values, wherein small effect sizes ranged from 0.01 to <0.08, medium effect sizes ranged from 0.08 to <0.26 and large effect sizes ranged from ≥0.26. We used JAMOVI version 1.0.7.0 for statistical analysis.

    2) Qualitative approach: Qualitative data from PIE, the questionnaire and interviews were analysed using thematic analysis. Anonymised qualitative data were analysed in accordance with the six phases proposed by Braun and Clarke (2006). Initial coding was conducted by the two Japanese researchers (YM and HO). YM, the lead author, was involved in the development of PIF-SRL and has previous experience with qualitative studies relevant to SRL. HO was not directly engaged in PIF-SRL but has had experience in qualitative studies relevant to SRL. The transcripts were thoroughly analysed using an inductive coding approach until agreement on coding was achieved through repetitive face-to-face meetings between the pair.

    The focus was on changes in SRL (motivation, learning strategies, and reflective behaviours), and student opinion of the effects of PIF-SRL on SRL. Representative codes and statements were translated into English by an American professor literate in both English and Japanese (AJL). In the final phase, two other authors (JL and CV; education psychologists familiar with SRL) joined the discussion, and a higher-level synthesis of the codes was developed.

    III. RESULTS

    A. Quantitative Data

    Mean averages, standard deviations, and median averages for fifteen MSLQ-J categories plus gender and academic rank data at pre-intervention are shown in Table 1. No categories significantly differed between the PIF-SRL and control groups.

    The subtracted (post- minus pre-intervention) between-group scores in the 15 MSLQ-J categories are shown in Table 2. Improvements in 1. Intrinsic goal orientation and 10. Critical thinking were significantly better in the PIF-SRL group than the control group with ε2 values 0.096 (p = .005) and 0.051 (p = .041), respectively. The quantitative data used in this study are accessible (Matsuyama et al., 2021).

     

     

    PIF-SRL (N=41)

    Control (N=41)

    p value

    Gender

    Male/Female

    30/11

    30/11

    Academic rank in the previous school year

    Mean±SD

    43.7±33.0

    45.3±32.4

    0.79

    Median

    36

    37

    1. Intrinsic goal orientation

    Mean±SD

    4.07±1.18

    4.23±1.16

    0.42

    Median

    4.00

    4.25

    2. Extrinsic goal orientation

    Mean±SD

    3.67±1.46

    3.69±1.44

    0.95

    Median

    3.75

    3.75

    3. Task value

    Mean±SD

    5.12±0.95

    4.85±1.17

    0.34

    Median

    5.33

    4.83

    4. Control beliefs

    Mean±SD

    4.92±0.92

    4.69±0.98

    0.09

    Median

    4.75

    4.50

    5. Self-efficacy

    Mean±SD

    3.52±1.11

    3.36±1.23

    0.72

    Median

    3.38

    3.50

    6. Test anxiety

    Mean±SD

    3.94±1.17

    4.35±1.03

    0.12

    Median

    4.20

    4.40

    7. Rehearsal

    Mean±SD

    4.38±1.07

    4.23±0.91

    0.81

    Median

    4.25

    4.25

    8. Elaboration

    Mean±SD

    4.46±1.00

    4.32±1.13

    0.86

    Median

    4.50

    4.50

    9. Organisation

    Mean±SD

    4.45±1.35

    4.27±1.30

    0.66

    Median

    4.50

    4.50

    10. Critical thinking

    Mean±SD

    4.11±1.10

    4.30±1.21

    0.36

    Median

    4.20

    4.40

    11. Metacognitive regulation

    Mean±SD

    4.23±0.70

    4.18±0.82

    0.89

    Median

    4.25

    4.17

    12. Time and environment

    Mean±SD

    4.63±0.85

    4.44±0.87

    0.38

    Median

    4.50

    4.25

    13. Effort management

    Mean±SD

    3.92±1.07

    3.91±0.96

    0.83

    Median

    4.00

    4.00

    14. Peer learning

    Mean±SD

    4.70±1.24

    4.40±1.24

    0.36

    Median

    4.67

    4.67

    15. Help seeking

    Mean±SD

    4.46±0.97

    4.37±0.96

    0.34

    Median

    4.50

    4.25

    Table 1. Pre-intervention scores for the 15 categories of the Motivated Strategies for Learning Questionnaire-J and descriptive gender and academic rank data

     

     

    PIF-SRL (N=41)

    Control (N=41)

    p value

    ε2 value

    1. Intrinsic goal orientation

    Mean±SD

    0.48±1.02

    -0.26±1.17

    0.005

    0.096

    Median

    0.50

    -0.25

    2. Extrinsic goal orientation

    Mean±SD

    0.31±1.36

    -0.05±1.04

    0.200

    0.020

    Median

    0.25

    0.00

    3. Task value

    Mean±SD

    0.12±1.08

    -0.02±1.08

    0.587

    0.004

    Median

    0.00

    0.00

    4. Control beliefs

    Mean±SD

    0.04±1.07

    0.02±1.16

    0.665

    0.002

    Median

    0.00

    0.25

    5. Self-efficacy

    Mean±SD

    0.49±1.20

    0.10±0.82

    0.210

    0.019

    Median

    0.25

    0.00

    6. Test anxiety

    Mean±SD

    0.30±1.07

    -0.11±1.07

    0.152

    0.025

    Median

    0.20

    0.00

    7. Rehearsal

    Mean±SD

    0.23±1.23

    -0.02±1.14

    0.500

    0.006

    Median

    0.25

    0.00

    8. Elaboration

    Mean±SD

    0.30±1.23

    0.13±1.03

    0.083

    0.037

    Median

    0.50

    0.00

    9. Organisation

    Mean±SD

    0.08±1.48

    -0.04±1.08

    0.915

    <0.001

    Median

    0.00

    0.00

    10. Critical

    thinking

    Mean±SD

    0.48±1.08

    -0.06±1.21

    0.041

    0.051

    Median

    0.60

    0.00

    11. Metacognitive

    regulation

    Mean±SD

    0.31±0.80

    -0.07±0.69

    0.060

    0.043

    Median

    0.16

    0.00

    12. Time and

    environment

    Mean±SD

    0.02±1.28

    0.02±1.03

    0.700

    0.002

    Median

    0.00

    0.00

    13. Effort

    management

    Mean±SD

    0.41±0.89

    0.10±0.85

    0.092

    0.035

    Median

    0.25

    0.00

    14. Peer learning

    Mean±SD

    0.03±1.28

    0.03±1.03

    0.978

    <0.001

    Median

    0.00

    0.00

    15. Help seeking

    Mean±SD

    0.04±1.27

    0.04±0.84

    0.819

    <0.001

    Median

    0.00

    -0.25

    Table 2. Subtracted (post- minus pre-intervention) scores in the 15 categories of the Motivated Strategies for Learning Questionnaire-J

    B. Qualitative Data

    A higher-level synthesis of the codes eventually resulted in three major themes corresponding to the second research question, ‘How does the PIF-oriented elements in PIF-SRL improve SRL?’ 

    1) Active expansion of learning goals based on professional responsibility: The first theme consisted of subthemes which included learning motivated from responsibility, clear learning goals based on explicit self-images, and wider learning goals based on wider perceptions of professional roles.

    Students viewed in-depth communication with mentors through the PIF-SRL platform with PIE helpful for imagining their future professional responsibilities in a positive and objective manner.

    ‘A lot of opening questions were, for example, what do you expect from work, what is the worst that can happen if you failed to live up to the expectations you have set for yourself, that’s the situation you’re working under when you’re a doctor, and the first time I really felt this was the time I really should be aware of this, it was positive, and actually although I was still just a student, I could objectively assess what I was thinking…’

    (Interview, 1D-10)

    During PIF-SRL mentoring, they were able to realise that knowledge beyond what they were currently learning in the curriculum was required of them as professionals. They were actively trying to set learning goals that they could connect to what they would need to learn in the future.

     

    ‘Knowing what skills and knowledge the region expects of you, you can create a working image of your future situation, and this becomes motivation to learn about new areas you weren’t aware of before.’

     (Questionnaire, 2019-19)

    Aside from the expansion of perceived learning goals, students also began to see that self-study was required to ensure the authenticity of medical knowledge applicable to their future professional work. This was linked to Theme 3.

    ‘What I got was that incomplete understanding or recall wasn’t going to cut it when actually applying knowledge in the clinic. I began to train with the awareness that I wouldn’t be useful there if I didn’t understand and remember all I learned about disease.’

    (Questionnaire, 2018-21)

    2) Elaboration by linking future professional task processes to daily self-study contents: The second theme was comprised of subthemes which included focus on the task processes of role models and relating daily self-study content to future roles.

    After PIF-SRL, students began to imagine what they would do as professionals in future medical practice at a task process-based level. Because their vivid future professional image helped them identify deep responsibilities for their professional tasks, they began to carefully observe mentors’ complete professional tasks in the clinical clerkship and articulate task processes. This in turn encouraged students to select learning strategies which linked information in daily self-study materials (e.g. textbooks) to professional task processes, which is referred to as ‘elaboration’ in MSLQ.

    ‘I started to learn in terms of what I would do if it were me. I also started to think about the details and not just the general flow of things, and to apply them as much as possible to reality.’

    (Questionnaire, 2018-8)

    ‘Since the clerkship, I’ve been able to relate and recall what I actually encountered in the clinical clerkship, and when I was actually reading textbooks in self-study, I was able to align it with my future work content, and if there were things that applied, I would emphasise them… The study method that I use to impress upon myself was strengthened in the mentoring and clerkship…’

    (Interview, 1D-3)

    3) Critical thinking based on the pursuit of authentic medical knowledge: The third theme was comprised of subthemes which included realisation of the significance of authenticity pursuit, access to a wide variety of educational materials, and critical reflection.

    Because they began to perceive that what they were learning would affect the lives of individual patients, they recognised the significance of gaining authentic knowledge that could be applied to each patient, differentiated from textbook-based universal knowledge.

    ‘It’s really important to learn about disease by studying the texts and gaining comprehensive knowledge, but since that tertiary material is insufficient for responding to clinical questions and individual patient backgrounds, I’m not sure that knowledge is useful in clinical practice. For that, what’s most meaningful are secondary materials like UpToDate, or if you still have doubts then primary material research papers.

    (Questionnaire, 2019-1)

    After beginning to pursue authenticity of medical knowledge, students found diversity and inconsistency in information from learning materials. To deal with this, they began to formulate inquiries focusing on self-study, a variety of information resources, and different viewpoints. Through this strategic shift, critical thinking emerged in an intrinsic manner.

    ‘I’ve come to think opinions are going to diverge to some extent as you get down to actually asking opinions of several different doctors, and these are choices you have to make, the stages you go through when studying.’

    (Interview, 1C-7)

    ‘Having the ability to doubt, and because it’s science not taking everything at face value, becoming sceptical, I think that’s necessary.’

    (Interview, 3C-14)

    IV. DISCUSSION

    Regarding the first research question ‘Does PIF-SRL improve SRL during the period around the clinical clerkship?’, our findings of a moderate improvement in intrinsic goal orientation and a mild improvement in critical thinking in the PIF-SRL group compared with the control group suggested that PIF-SRL promotes SRL. The qualitative analysis supports the MSLQ-J results. With regard to intrinsic goal orientation, students’ recognition of their future ‘professional responsibility’ was a key to fostering this. Further, recognition of professional responsibility led to critical thinking — critical evaluation of learning materials or their interpretation — as a means of pursuing authenticity of information for professional task processes. The consistency between quantitative and qualitative data was notable in understanding the outcomes of the PIF-oriented mentoring on SRL.

    There was no statistical significance in the difference between the PIF-SRL and the control groups regarding elaboration in MSLQ-J data. However, qualitative analysis illuminated that PIF-SRL students’ attention to professional task processes triggered a strategy toward elaboration of knowledge in accordance with their future professional task processes. Reasons for this discrepancy might include the number of participants and sensitivity of the outcome measurement (Tonkin-Crine et al., 2016). Further research is needed to address these issues. However, we believe that in order to remediate learning strategies necessary for professional tasks or professionalism, it is useful to reflect on daily self-learning in accordance with the process of professional work shown by role models.

    Recent research pertaining to educational intervention for SRL emphasises analysing the learning process of a particular task in detail and remediating the individual process (Artino et al., 2014; Durning et al., 2011; Gandomkar et al., 2016). While we generally concur with this, learning tasks that take place in clinical practice are limitless, so it would be beneficial to explore a foundational intervention applicable to a variety of tasks in clinical settings. The PIF-oriented mentoring in this study is presented as a foundational SRL intervention for a variety of clinical settings wherein learners can recognise professional identities and role models can suggest learning strategies.

    The major strength of this study is that the subjects were Japanese students, who are considered to engage less in self-regulation than their Western counterparts (Iwata & Doi, 2017; Matsuyama et al., 2018; Tagawa, 2008). We believe that our study can provide educators with evidence that PIF-oriented educational schemes promote better learning behaviours in institutions desiring to promote undergraduate SRL. Another strength is that there were few formal classes or training programmes – i.e., intervening confounders — except for PIF-SRL and CBCCs between pre- and post-data collection (Figure 1). We believe the study schedule, without other educational interventions, optimised learning comparison outcomes between the two groups. For instance, changes in accessing learning materials for critical thinking (e.g. UpToDate) can be attributed mostly to the experiences in PIF-oriented mentoring and the subsequent CBCCs.

    This study also has some limitations. First, we did not collect one-on-one interview data from 2018 cohort. Second, we did not examine student SRL changes from the mentor’s perspective, despite the fact that mentors’ perceptions of changes in students’ SRL would be as useful as, or more useful than students’ self-administered data. Third, reference to mentors’ self-images in the PIF-SRL could help students in PIF-SRL construct their professional self-image more clearly; however, this may cause bias student statements in the PIF-SRL form regardless of their real professionalism. Future research needs to measure PIF and SRL in more multifaceted and objective manners. Lastly, we do not have long-term outcomes of PIF-SRL. According to previous studies (Cruess et al., 2014; Cruess & Cruess, 2019; Kalet et al., 2017; Oyserman et al., 2017), identity is flexibly attuned to immediate situations rather than fixed in memory. Plus, frequently and fluently cued identities form stable ones. Accordingly, we speculate that the repetitive use of PIF-SRL could strengthen learners’ SRL. Validation of this notion would require a longitudinal cohort study.

    Evaluation of these results suggests that the ability of PIF-SRL to work effectively requires that the quality of mentors be guaranteed. One reason for the success of the relatively random combination of students and mentors in this PIF-SRL group is that all are future rural physicians, and their mentors are also alumni of JMU in rural practice. On the other hand, for medical students from other universities who can follow diverse specialties and career paths, use of the PIF-SRL will require pairing medical students with appropriate mentors who can respond to students’ identities or future images. Also, it is important to pair students not only by their interest in future expertise, but also by looking at the mental and physical traits of individual students as they relate to motivation and student career choices (Henning et al., 2017). Moreover, in-depth conversations that would foster professionalism might not be done only through text messages in the PIF-SRL platform, but also through video calls and in-person meetings that would convey the participants’ voices, facial expressions, and mood. We think it is important for mentors to actively provide opportunities for direct dialogue with students. In light of this challenge, the present study supports PIF-oriented intervention as a method for improvement in SRL.

    V. CONCLUSION

    Allowing for these limitations and the need for further research, this study indicated that PIF-oriented education in a clinical clerkship with alumni mentors increased immediate intrinsic goal orientation and promoted a shift to SRL. Their SRL was characterised as task process-based elaboration, with critical thinking emerging from the pursuit of authenticity in medical practice.

    Notes on Contributors

    Yasushi Matsuyama reviewed the literature, designed the study, conducted both quantitative and qualitative data analysis, and wrote the manuscript.

    Hitoaki Okazaki conducted qualitative data analysis.

    Kazuhiko Kotani designed the study, and collected both quantitative and qualitative data.

    Yoshikazu Asada collected both quantitative and qualitative data.

    Shizukiyo Ishikawa collected both quantitative and qualitative data.

    Adam Jon Lebowitz contributed to Japanese-English translation of data collection tools and qualitative data from questionnaire and interviews.

    Jimmie Leppink reviewed the literature, designed the study, conducted both quantitative and qualitative data analysis, and wrote the manuscript.

    Cees van der Vleuten reviewed the literature, designed the study, conducted both quantitative and qualitative data analysis, and wrote the manuscript.

    All the authors have read and approved the final manuscript.

    Ethical Approval

    This study was approved by the ethics committee of Jichi Medical University (Reference number: 19-001). Consent was obtained from all participants for the research study.

    Acknowledgements

    We would like to express our sincere gratitude to Dr. Adina Kalet and Dr. Verna Monson for their consultation and provision of supplementary materials. We would also like to thank Drs. Yasuko Aoyama, Yoshitaka Maeda, and Maiko Watanabe for their support in conducting one-on-one interviews. We would also like to thank Ms. Akemi Watanabe and Yasuko Koguchi for their helpful assistance. 

    Funding

    This work was supported by JSPS KAKENHI [Grant number JP17K08924]. 

    Declaration of Interest

    The authors report no conflicts of interest.

    Data availability

    The quantitative data used in this study, Supplemental files are available at https://doi.org/10.6084/m9.figshare.14312507

    Representative qualitative data translated into English are shown in the Result section (Matsuyama et al., 2021). All qualitative data written in Japanese are available from the corresponding author on reasonable request.

    A preprint of the previous version of our manuscript, which is not peer-reviewed, is available at https://www.researchsquare.com/article/rs-12667/v1

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    *Yasushi Matsuyama
    3311-1
    Yakushiji, Shimotsuke,
    Tochigi, 329-0498
    Email: yasushim@jichi.ac.jp

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