Exploring success factors and relationships in virtual learning using ISM and fuzzy MICMAC analysis.

The COVID-19 pandemic's consequences have led to a global change in educational settings towards online learning. The utilization of virtual learning (VL) has increased significantly. This study aimed to extract the success factors of VL and also examine the relationships among them. The research method involves examining factors identified in the literature review and seeking confirmation from experts using the Content Validity Index (CVI) method. Ten success factors are extracted and confirmed, including Technological, Management, Learning Capability, Pedagogical, Ethical, Resource Support, Interface Design, Evaluation, Institutional, and Study Environment. Based on the Interpretive Structural Model (ISM) method and the fuzzy matrix of cross-impact multiplications applied to classification (MICMAC), which divides the factors into five levels, the relationship between these factors is examined. Level I emphasizes the importance of evaluation mechanisms. Level II stresses integrating pedagogical, ethical, resource support, and institutional aspects. Level III highlights the alignment of learner capabilities with platform interfaces. Level IV underscores the significance of the learning environment. Lastly, Level V emphasizes the interplay between technology and management in VL's expansion. The findings of this study can be developed and customized through collaboration among instructors, learners, and institutions. Moreover, the findings from correlating success factors can be applied in practical learning experiments or utilized to develop efficient modeling manuals.

Intelligent recommendation system for College English courses based on graph convolutional networks.

With the rapid development of international communication, the number of English courses has shown an explosive growth trend, which has caused a serious problem of information overload, resulting in poor teaching performance of recommended English courses. To solve this problem, this paper proposes a graph convolutional neural network model based on College English course texts, students' major, English foundation and network structure characteristics. First, by analyzing the relevant data of College English courses and combining with graph neural network, an English course recommendation algorithm model based on the College English learning strategy of proximity comparison is proposed. Then, the College English texts are taken as feature input, and multi-layer graph convolutional neural network is used to process the above graph neural network structure. Attention mechanism is introduced to enhance the representation of graph features in College English skills. Finally, multi-layer attention model is used to process the courses that users have learned, and intelligent course recommendation is made by combining the multi-layer attention modeling of College English skills. The experimental data show that the proposed method achieves the best performance compared with the commonly used College English course recommendation method.

Serious games to assess students.

This paper describes experiments where students were assessed using the Serious Games (SGs) they created. The first experiment is with students attending our "Business Games" module for the master's degree in "Innovation" at the Tunis Engineering School. The second experiment involved students enrolled in our "Introduction to Data Science" module of the master's degree in "Data Sciences" at the High Institute of Management of Tunis. We requested each section's students to design a game related to the covered module. Through innovative assessment practices, we hope to motivate students. We aimed to confirm that creating games reinforced students' mastery of the module content. At the end of the semester, students presented their games, and some of them are described here. The results of the questionnaire filled out by the students at the end of these experiments revealed that, despite their different profiles, they appreciated these experiments and their influence on mastering the modules' contents. This article introduces the SG and its use in assessment. It also discusses the importance of creating serious games by the learner and how it affects learning. Even though some students mentioned that creating their games took more time than studying for a traditional exam, they believed the experiment as a whole was positive and enjoyed the innovation. Therefore, to construct the game, students reviewed the content of the module more than once. Additionally, students asked for the experiment to continue and expand to additional modules the following year.

Notetaking among nursing students.

INTRODUCTION: The purpose of this review was to determine the current state of the literature for notetaking among nursing students and identify implications for future nursing education and research. Notetaking is frequently used by college students and is a proven learning strategy. There has been less research for notetaking among nursing students than students in other disciplines. CONTENT: This narrative review was completed using the method described by Ferrari. Seven electronic databases were searched from 2018 to 2023 using the terms notetaking, students, and nursing. SUMMARY: Seven of 65 articles were included in this review. Upon analysis, three categories of research findings were identified: learning style, notetaking skill, and notetaking and technology. OUTLOOK: Nursing faculty should be aware of learning styles, notetaking strategies, and notetaking skill when designing assignments and course content for students. Future research should be done on this population to strengthen the findings of current literature.

Perceptions and use of evidence-based revision methods among undergraduate medical students.

Objective: To assess awareness, perceptions and use related to evidence-based revision methods by undergraduate medical students. METHODS: The descriptive cross-sectional study was conducted in three medical colleges of Rawalpindi, Islamabad, Pakistan, from December 01, 2019, to January 31, 2020, after approval from the ethics review committee of Army Medical College, Rawalpindi. The sample comprised undergraduate medical students of either gender. Data was collected online using a 10-item standardised questionnaire. Students were asked about the revision methods they used routinely and their perceptions of conventional and evidence-based revision methods. Data was analysed using SPSS 23. RESULTS: Of the total 136 respondents, 92(67%) were females and 44(32.3%) were male students. The response from preclinical and clinical years was 67 (50.7%) and 69(49.2%), respectively. Highlighting was the most widely used revision method among students (70 (51%) students), followed by re-reading important points (65 (47.7%) students). 126 (92%) students had the opinion that conventional revision methods were effective learning tools. Only 52 (38.2%) students were aware of the term 'evidence-based revision methods'. Digital tools based on principles of evidence-based revision were used by a minority of students which included use of online question banks by 21 (15.4%) students, osmosis by 40 (29.4%) students, sketchy pharma by 35 (25%)students, flashcards by 19 (14%) and picmonic by only 3 (2.2%). More than 114 (80%) students responded that they wanted evidence-based revision methods to be incorporated into curriculum, and 116 (85%) students said they would like to have a workshop on these techniques. Conclusion: Most medical students were not aware of and were not using evidence-based revision methods, and relied on conventional revision tools. They were, however, eager to learn about newer revision strategies.

A social network analysis of college students' online learning during the epidemic era: A triadic reciprocal determinism perspective.

The way in which college students learn online has dramatically altered due to the COVID-19 pandemic. Using the triadic reciprocal determinism (TRD) theory, this study aimed to identify the key factors influencing college students' online learning experience through sentiment analysis, text mining, and social network analysis (SNA). Macro- and micro-level parsing was conducted on the SNA model, which was divided into core, mantle, and shell layers to determine the most influential factors in the core layer. This study found that learners' personal factors, learning behaviors, and related elements in the online learning environment significantly influenced the learning outcomes of college students enrolled in online courses. Additionally, this study explored the distribution of SNA model elements in the mantle and peripheral shell layers, which also impact the online learning experience of college students. Overall, this study provides a comprehensive overview of the various factors affecting college students' online learning experience, and highlights the importance of considering these factors when designing online learning environments for college students.

Pre-class mode "flipped" again: Making videos instead of just watching them.

"Flipped classroom" has subverted the traditional classroom teaching model and is believed to have a positive impact on knowledge acquisition and skill training for higher education students. The pre-class learning phase is considered a key factor in the success of flipped classrooms. However, currently, the pre-class learning phase of flipped classrooms mainly relies on video watching, which makes students passive receivers. Teachers need to invest a lot of time and resources in developing online videos, which greatly increases students' learning time and tasks. This also hinders the promotion of this teaching model. This study designs a pre-active learning strategy based on student participation in video production and a flipped classroom teaching model, and uses questionnaire surveys and interviews to observe students' reactions, explore its impact on students' satisfaction, and empirically analyze the path it affects students' satisfaction. We found that in the pre-class phase, the greater the ease of use and usefulness perceived by students in video production, the higher the students' satisfaction. Perceived enjoyment and perceived value are important intermediary paths. In addition, based on the research results, this study proposes suggestions for a flipped classroom teaching model based on video production. The results of this study will provide important references for the pre-class learning phase of flipped classrooms.

Occupational Therapy Students' Evidence-Based Practice Skills as Reported in a Mobile App: Cross-Sectional Study.

BACKGROUND: Evidence-based practice (EBP) is an important aspect of the health care education curriculum. EBP involves following the 5 EBP steps: ask, assess, appraise, apply, and audit. These 5 steps reflect the suggested core competencies covered in teaching and learning programs to support future health care professionals applying EBP. When implementing EBP teaching, assessing outcomes by documenting the student's performance and skills is relevant. This can be done using mobile devices. OBJECTIVE: The aim of this study was to assess occupational therapy students' EBP skills as reported in a mobile app. METHODS: We applied a cross-sectional design. Descriptive statistics were used to present frequencies, percentages, means, and ranges of data regarding EBP skills found in the EBPsteps app. Associations between students' ability to formulate the Population, Intervention, Comparison, and Outcome/Population, Interest, and Context (PICO/PICo) elements and identifying relevant research evidence were analyzed with the chi-square test. RESULTS: Of 4 cohorts with 150 students, 119 (79.3%) students used the app and produced 240 critically appraised topics (CATs) in the app. The EBP steps "ask," "assess," and "appraise" were often correctly performed. The clinical question was formulated correctly in 53.3% (128/240) of the CATs, and students identified research evidence in 81.2% (195/240) of the CATs. Critical appraisal checklists were used in 81.2% (195/240) of the CATs, and most of these checklists were assessed as relevant for the type of research evidence identified (165/195, 84.6%). The least frequently correctly reported steps were "apply" and "audit." In 39.6% (95/240) of the CATs, it was reported that research evidence was applied. Only 61% (58/95) of these CATs described how the research was applied to clinical practice. Evaluation of practice changes was reported in 38.8% (93/240) of the CATs. However, details about practice changes were lacking in all these CATs. A positive association was found between correctly reporting the "population" and "interventions/interest" elements of the PICO/PICo and identifying research evidence (P<.001). CONCLUSIONS: We assessed the students' EBP skills based on how they documented following the EBP steps in the EBPsteps app, and our results showed variations in how well the students mastered the steps. "Apply" and "audit" were the most difficult EBP steps for the students to perform, and this finding has implications and gives directions for further development of the app and educational instruction in EBP. The EBPsteps app is a new and relevant app for students to learn and practice EBP, and it can be used to assess students' EBP skills objectively.

Effectiveness of problem-based learning strategies compared to conventional anatomy teaching approaches.

Objectives: To determine the effectiveness of problem-based learning compared to conventional teaching strategies, and to determine the impact of sub-disciplines of Anatomy on learning outcomes of the subject. METHODS: The cross-sectional, descriptive study was conducted at Bahria University Health Sciences, Karachi, from August to October 2022, and comprised 1st and 2nd year medical students and 1st year dental students of either gender who were being taught by the hybrid method including both conventional and problem-based learning strategies. Data was collected using a questionnaire circulated through Google Forms. It had close-ended questions that were scored on a Likert scale. Anatomy sub-disciplines explored were gross, embryology and histology. Data was analysed using SPSS 23. RESULTS: Of the 251 subjects, 125(49.8%) were males and 126(50.2%) were females. The overall age ranged aged 18- 23 years. There were 115(45.8%) 1st year medical students, 111(44.2%) 2nd year medical students and 25(10%) 1st year dental students. Among 1st year medical students 60(52.17%), among 2nd year medical students 64(57.6%) and among 1st year dental students 14(56%) respondents favoured problem-based learning compared to conventional methodology. Highly significant results were obtained regarding need of topic revision (p<0.001), whether knowledge of conventional teaching method is enough for understanding the clinical scenarios (p=0.017, whether pictures shown during the problem-based learning sessions were enough for understanding anatomy (p=0.035), relevance of questions in oral structured practical examination (p=0.019) and viva (p=0.002). When the participants were asked regarding the anatomy sub-discipline that required revision for comprehensive learning, 72(28.3%) mentioned gross anatomy. CONCLUSIONS: Students considered problem-based learning to be more inducive in enhancing learning compared to conventional teaching.

Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area.

The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has become an important hub for technological innovation and economic development in China. With the growing demand for artificial intelligence (AI) and big data technology talents, it is essential to develop educational cooperation within the GBA to develop a talent pool that can meet the changing needs in the region. This paper focuses on the development of dynamic demand for AI talents and proposes a strategic planning framework for educational cooperation in the GBA. We use the research idea of common attributes and key chain clustering-factor association selection-analysis of the driving force and subordination among factors-the key characteristics of AI talents. Using collinear analysis of citations and grounded theory methods, an operational definition of the influencing factors of AI talent literacy characteristics is constructed. Using the Interpretative Structural Modeling(ISM) and MICMAC (Matrice d'Impacts Croises-Multipication Applique A Classement), analyze and identify the driving force and subordination of the influencing factors of key traits of talents, and present the combined effect of multi-level factors of key traits of talents. Combined with the educational differences and complementary advantages in the GBA, five strategies and seven implementation suggestions for the GBA's AI talent education cooperation plan are formulated to establish a collaborative ecosystem that promotes the growth and integration of AI in the GBA.

Medical students' general and radiology-specific motivation: Correlations, stability and associations with learning strategies and ability beliefs.

PURPOSE: This study investigated general and subject-specific motivational beliefs from the perspectives of self-determination theory (i.e. intrinsic, identified, introjected, and extrinsic motivation) and achievement goal theory (i.e. mastery, performance-approach, and -avoidance goal orientation including the respective classroom goal structures), their interrelations, their stability over time, and their associations with desirable outcomes (i.e. deep-level learning strategies, self-concept of ability). It was hypothesized that motivational beliefs are interrelated but demonstrate a distinct correlational pattern depending on whether they were assessed as general or subject-specific motivation. In addition, motivational beliefs were hypothesized to relate to learning strategies and ability beliefs. METHODS: Medical students (n = 146) participated in this longitudinal study with measurement points at the beginning and end of a semester. The questionnaire included established motivational scales to assess motivational beliefs and desirable outcomes. Measurement models were tested using confirmatory factor analyses; correlations of scale means were investigated to assess the nomological network of motivational beliefs. RESULTS: As expected, intrinsic and identified motivation were associated with mastery goal orientation and with desirable outcome variables, such as the use of deep-level learning strategies. General and subject-specific motivation exhibited distinct correlational patterns. Motivation was relatively stable over time. Results did not confirm the factor structure of classroom goal structure. CONCLUSIONS: The study emphasizes the benefit of a subject-specific conceptualization of motivation and the need for a careful adaptation of theoretical constructs from the secondary school context to make them fruitful for the promotion of medical students' motivation. Medical teachers can use established motivational interventions (e.g. using an individual frame of reference for feedback) to support students' adaptive motivational beliefs (e.g. self-determined motivation, mastery goals). Given the subject specificity of motivation, it seems beneficial to promote adaptive motivation in the respective medical specialty regardless of students' general motivational characteristics.

Learning strategies and reading achievement in primary schools: Longitudinal relationship and gender differences.

BACKGROUND: Learning is a self-regulated loop where learning strategies and achievements are interrelated. In reading, although some studies have explored the relationship between different learning strategies (memorization, elaboration and control) and reading achievement, little is known about how they interact over time. Even though the longitudinal relationship was revealed in some studies, most of the evidence was based on the whole population, regardless of gender differences. AIMS: This study was designed to examine the longitudinal relationship between memorization, elaboration, control strategies and reading achievement, as well as the gender difference in the longitudinal relationship. SAMPLE: The sample consisted of 3878 Chinese students (2025 boys, 1853 girls) who were surveyed in Grade 4 and Grade 6. METHODS: A cross-lagged model was conducted to examine the longitudinal relationship between memorization, elaboration, control strategies and reading achievement while controlling for gender, age and parents' educational levels. Multigroup cross-lagged models were conducted to examine gender differences in the longitudinal relationship between these variables. RESULTS: Memorization and elaboration strategies were reciprocally related. Both predicted subsequent control strategies, but not vice versa. Only memorization strategies positively predicted subsequent reading achievement, while prior reading achievement positively predicted the subsequent three strategies. The effects of prior reading achievement on subsequent learning strategies were stronger for boys. CONCLUSIONS: Memorization strategies play a prominent role in promoting deeper strategies and reading achievement in Chinese primary schools, which might relate to culture and developmental stages. Higher achievement or positive feedback from learning results might be motivation for using different strategies, especially for boys.

How does self-efficacy, learner personality, and learner anxiety affect critical thinking of students.

The goal of critical thinking for students is to help them learn how to think critically and systematically so they can solve problems and make informed decisions. It aids students in developing their capacity for independent thought, allowing them to generate their own conclusions and base those decisions on facts and evidence. Therefore, one of the key goals of this study was to explore the factors affecting critical thinking of English as foreign language (EFL) learners. This article used social cognitive theory (SCT) to investigate how personal and cognitive factors affect EFL learners' critical thinking. Data from 305 Chinese EFL learners were collected online, and structural equation modeling (SEM) was used to evaluate the data. The results showed that metacognitive learning strategies (MLS) were positively related to critical thinking and that self-efficacy, self-oriented learning perfectionism, and learner anxiety were significantly related to MLS. Moreover, MLS mediated the link between self-efficacy, self-oriented learning perfectionism, learner anxiety, and critical thinking. The findings further indicated that learner proactivity moderated the association between MLS and critical thinking. By applying social cognitive theory to examine the variables influencing EFL learners' critical thinking, this study adds uniqueness. It does this by emphasizing the moderating influence of learner proactivity and the mediating function of metacognitive learning strategies. The findings of the research have significant ramifications for educators since they emphasize how vital it is to support metacognitive strategies for learning in order to improve EFL learners' critical thinking abilities. Additionally, to create an atmosphere that is favorable for the development of critical thinking skills in EFL education, policymakers should think about implementing support systems and interventions that focus on learner anxiety, learner proactivity, and self-efficacy.

Gestures as Scaffolding to Learn Vocabulary in a Foreign Language.

This paper investigates the influence of gestures on foreign language (FL) vocabulary learning. In this work, we first address the state of the art in the field and then delve into the research conducted in our lab (three experiments already published) in order to finally offer a unified theoretical interpretation of the role of gestures in FL vocabulary learning. In Experiments 1 and 2, we examined the impact of gestures on noun and verb learning. The results revealed that participants exhibited better learning outcomes when FL words were accompanied by congruent gestures compared to those from the no-gesture condition. Conversely, when meaningless or incongruent gestures were presented alongside new FL words, gestures had a detrimental effect on the learning process. Secondly, we addressed the question of whether or not individuals need to physically perform the gestures themselves to observe the effects of gestures on vocabulary learning (Experiment 3). Results indicated that congruent gestures improved FL word recall when learners only observed the instructor's gestures ("see" group) and when they mimicked them ("do" group). Importantly, the adverse effect associated with incongruent gestures was reduced in the "do" compared to that in the "see" experimental group. These findings suggest that iconic gestures can serve as an effective tool for learning vocabulary in an FL, particularly when the gestures align with the meaning of the words. Furthermore, the active performance of gestures helps counteract the negative effects associated with inconsistencies between gestures and word meanings. Consequently, if a choice must be made, an FL learning strategy in which learners acquire words while making gestures congruent with their meaning would be highly desirable.

Understanding the interplay of self-regulated learning strategies in medical education: A cross-sectional structural equation modeling study.

Background and Aims: Although previous studies have investigated self-regulated learning strategies, a holistic study has not been conducted on note-taking, environmental structuring, self-evaluation, and self-consequence strategies among medical students. The current study focused on the relationships between these four self-regulated learning strategies in a medical context. Methods: A conceptual model of the four strategies was developed, supported by the relevant literature. This cross-sectional study used an electronic structured questionnaire. The sample consisted of 557 medical undergraduates. The data were analysed using confirmatory factor analysis and structural equation modeling to investigate the hypothetical model. Results: The conceptual model fits the data well. All relationships between the strategies were significantly positive, except for a regression between environmental structuring and self-evaluation, which was nonsignificant. Self-evaluation strategies represented the highest mean, whereas self-consequence strategies represented the lowest. Conclusion: The findings of this study have implications for medical students, their teachers, and their universities regarding ways to enhance learners' regulated learning strategies. Future research should be conducted to develop additional statistical and comparison models for use in experimental studies and longitudinal investigations.

Do Achievement Goals Differently Orient Students' Academic Engagement Through Learning Strategy and Academic Self-Efficacy and Vary by Grade.

Background: Previous cross-sectional studies were on the basis of three categories of achievement goal orientation; therefore, it is not yet possible to fully examine whether achievement goal orientation affects academic engagement through learning strategies and self-efficacy and whether those effects vary by grade. Then, it is necessary to further explore whether different achievement goal orientations affect academic engagement through the mediation of learning strategies and academic self-efficacy from the perspective of integration of achievement goal orientation theory and social cognitive theory under the premise of four classifications of achievement goal orientation, if so, whether there is consistent-path structure between grades. Methods: Participants were 1429 high school students (647 male,782 female) were token as subjects through cluster sampling. The Achievement Goal Orientation Scale, Learning Strategies Scale, Academic self-efficacy Scale,and Academic Engagement Scale were used to measure achievement goal orientations, learning strategies, academic self-efficacy and academic engagement. Results: The mastery approach, performance approach, and performance avoidance indirectly predicted academic engagement through the chained mediated effects of learning strategies and academic self-efficacy, respectively. There were no direct or indirect predictive effects of mastery avoidance on students' academic engagement. The path structure constructs were consistent across grades, except for grade differences in the predictive relationships between mastery approach on learning strategies and mastery avoidance on learning strategies. Conclusion: As external achievement goals originate from others, regardless of valence approach or avoidance, performance goals indirectly orient academic engagement through chain multiple mediators of learning strategies and academic self-efficacy. As internal achievement goal originates from the individual itself, the mastery approach not only directly but also indirectly orients academic engagement through chain multiple mediators of learning strategies and academic self-efficacy. The path structure remains consistent but local relations vary across school years in China. Finally, the possible psychological mechanisms of goal orientations are discussed.

Development and validation of the Workplace Learning Inventory in Health Sciences Education: a multimethod study.

Health sciences students face many challenges in regard to clinical practical learning. A better understanding of student learning is required to address student needs in this crucial phase. The theory of self-regulated learning provides a comprehensive view of learning and could serve as a basis for further research. There are instruments to assess self-regulated learning in preclinical academic learning. However, there are no such instruments for workplace learning. The aim of the present study is to provide a comprehensive inventory from which researchers can select those scales that are relevant to their research questions in the investigation of workplace learning. Hence, the aim is to develop and validate a set of scales to assess undergraduates' workplace learning in health sciences education in four areas (cognition, motivation, emotion, and context) on two levels (the learning process level and the metalevel). Study 1 is a qualitative multimethod study to identify indicators and develop items. It integrates the perspectives of students, teachers, and researchers and includes six steps: literature review, interviews, synthesis, item development, expert review, and cognitive pretesting. This study yields a set of scales for each area on both levels. Study 2 is a quantitative study to assess the psychometric properties. The results show acceptable values in terms of unidimensionality, reliability and validity for each of the 31 scales. The newly developed Workplace Learning Inventory is comprehensive; the scales are relevant to workplace learning and short enough that their administration is feasible in the workplace setting. The rigorous process of questionnaire development contributes to the validity of scales. By providing the Workplace Learning Inventory, we hope to encourage research on workplace learning in health sciences education from an educational psychology perspective.

Learning with self-generated drawings and the impact of learners' emotional states.

Introduction: The present study examined the influence of emotional states when learning with self-generated drawings. It was assumed that learners in a positive emotional state would profit from learning with self-generated drawings, while learners in a negative emotional state would not profit from this strategy to the same extent but would rather benefit through reading. Methods: University students (N = 123) were randomly assigned to one of four conditions resulting from a 2 × 2 design with self-generated drawings (yes vs. no) and emotional state (positive vs. negative) as independent variables. Results: Results showed that learning with self-generated drawings was more beneficial for a following transfer test than learning without drawings - irrespective of a learner's emotional state. The quality of self-generated drawings predicted the learning outcomes of the retention and pictorial test, but not for transfer. Discussion: Missing effects of emotional states and the missing interaction with self-generated drawings will be discussed.

Metacognition in oral health education: A pedagogy worthy of further exploration.

AIM: This study aimed to investigate the perceptions of dental students and teachers about introducing metacognition pedagogy within an established clinical professional curriculum to provide primary data informing its feasibility. METHODOLOGY AND METHOD: A qualitative study using phenomenography methodology was undertaken as part of a master's dissertation. Semi-structured interviews were conducted on 16 participants which included 9 clinical teachers and 7 dental students. FINDINGS: Metacognition pedagogy was positively perceived by most of the participants as being beneficial to students' learning in oral health education. A few reported some negativity. All participants identified some challenges to be addressed if a metacognition pedagogy was to be implemented in the undergraduate curriculum. CONCLUSION: According to the perceptions of most participants in the study, metacognition emerged as a potential factor in improving student learning and exam performance, and facilitating the development of critical thinking, professionalism, and clinical skills. In the context of rigorous, demanding, and challenging courses, and recognising the complexities and uncertainties inherent in health professional working environments, metacognition emerges as a valuable tool, fostering self-awareness, regulation, and adaptability. Ultimately, metacognition has the capability to shape more adept learners and clinicians, yielding benefits for students, teachers, and patients alike.