<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>workplace learning &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/workplace-learning/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Sat, 17 Oct 2026 08:48:19 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>workplace learning &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Rethinking Organizational Learning Culture: Why One Shared Culture May Be a Myth</title>
		<link>https://scienmag.com/rethinking-organizational-learning-culture-why-one-shared-culture-may-be-a-myth/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 08:48:19 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[ambiguity in organizational culture]]></category>
		<category><![CDATA[case study of German bank]]></category>
		<category><![CDATA[differentiation]]></category>
		<category><![CDATA[diversity in organizational norms]]></category>
		<category><![CDATA[fragmentation]]></category>
		<category><![CDATA[German bank]]></category>
		<category><![CDATA[impact of subcultures on learning]]></category>
		<category><![CDATA[integration]]></category>
		<category><![CDATA[integration vs differentiation perspectives]]></category>
		<category><![CDATA[learning organization]]></category>
		<category><![CDATA[limitations of unified culture assumption]]></category>
		<category><![CDATA[mixed-methods case study]]></category>
		<category><![CDATA[organizational culture]]></category>
		<category><![CDATA[organizational culture fragmentation]]></category>
		<category><![CDATA[organizational culture frameworks]]></category>
		<category><![CDATA[organizational learning culture]]></category>
		<category><![CDATA[scoping review]]></category>
		<category><![CDATA[shared corporate values]]></category>
		<category><![CDATA[subcultural differences in organizations]]></category>
		<category><![CDATA[subcultures]]></category>
		<category><![CDATA[systematic review of organizational culture research]]></category>
		<category><![CDATA[three-perspective approach]]></category>
		<category><![CDATA[workplace learning]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=296042</guid>

					<description><![CDATA[A new systematic review and case study reveal that organizational learning culture has been narrowly conceptualized as unified when it actually encompasses subcultural differences and ambiguity.]]></description>
										<content:encoded><![CDATA[<p>For decades, managers and researchers alike have treated organizational learning culture as a kind of corporate holy grail: a unified set of values, norms, and practices that everyone in a company supposedly shares, driving continuous learning and innovation. But a new study published in Frontiers in Organizational Psychology argues that this comfortable assumption may be fundamentally wrong. Drawing on a systematic scoping review of 210 publications and an in-depth case study of a German bank, researchers Timo Kortsch, Anja Pia Schmitz, and Rabea Germanus show that the field of organizational learning culture has been operating under a strikingly narrow lens—one that ignores subcultural differences and ambiguity within organizations.</p>
<p>The researchers built their argument on a framework first proposed by organizational culture scholar Joanne Martin in 1992. Martin identified three distinct perspectives through which organizational culture can be understood: integration, differentiation, and fragmentation. The integration perspective views culture as a coherent system of shared values and assumptions that binds members together. The differentiation perspective, by contrast, sees organizations as constellations of subcultures—departments, teams, or professional groups—that may hold distinct, internally consistent views while differing from one another. The fragmentation perspective goes further, emphasizing that cultural meanings can be ambiguous, fluid, and situation-dependent, never fully consolidating into stable consensus at any level.</p>
<p>When Kortsch and colleagues applied this three-perspective lens to the existing literature on organizational learning culture, the results were striking. Of the 210 publications analyzed in their systematic scoping review, a staggering 208 were classified as primarily integration-compatible—treating learning culture as an organization-wide, internally coherent property. Only two publications explicitly addressed subcultural differentiation, and not a single one adopted fragmentation as its primary cultural perspective. This means that decades of research have largely assumed that everyone in an organization shares the same understanding of what learning means, why it matters, and how it should be enacted.</p>
<p>The scoping review also revealed significant conceptual confusion in the field. Many studies either omitted a clear definition of organizational learning culture or introduced idiosyncratic ones, frequently conflating it with related constructs such as the learning organization or organizational learning itself. The researchers distinguish these three concepts carefully: organizational learning refers to the processes through which information and experience are acquired, interpreted, and translated into changes in knowledge or practice. The learning organization describes a normative ideal—an organization in which learning processes are deliberately facilitated and systematically embedded. Organizational learning culture, by contrast, is the cultural context of learning: the system of assumptions, values, norms, and artifacts that shapes how learning is interpreted and enacted.</p>
<p>To illustrate how the three perspectives can be applied in practice, the researchers conducted a mixed-methods case study in a medium-sized German bank with around 700 employees. They combined a standardized employee survey using the German version of the Dimensions of the Learning Organization Questionnaire—completed by 436 employees with a 63 percent response rate—with 19 semi-structured interviews across different departments and hierarchical levels. The quantitative data allowed them to assess organization-wide agreement and cluster-level differences, while the qualitative interviews revealed the nuanced, sometimes contradictory meanings employees attach to learning.</p>
<p>The quantitative findings showed substantial organization-wide agreement in how employees rated their learning culture, consistent with the integration perspective. Agreement indices for the seven dimensions of the learning organization questionnaire ranged from 0.78 to 0.84, suggesting that employees across the bank shared a broadly similar frame of reference. However, the researchers also found modest but systematic differences between organizational clusters. Intraclass correlations indicated that approximately 3 to 8 percent of the variance in learning-culture perceptions was associated with cluster membership. The Talent Development and Early Careers cluster scored significantly higher than several other departments, while Corporate Services and Support Functions scored lowest—a pattern that held across multiple analytical approaches.</p>
<p>The qualitative interviews painted an even richer picture. Across all hierarchical levels, employees consistently framed learning as an individual responsibility—a shared organizational norm that board members explicitly reinforced using the German concept of Holschuld, or the duty to actively seek out information. Yet how this norm was enacted varied dramatically across departments. Some units enjoyed strong leadership support, protected time for reflection, and generous training budgets. Others faced resource constraints, competing priorities, and managers who did not prioritize development. As one operational employee put it, the learning culture was not uniform but very different across areas of the organization.</p>
<p>Perhaps most revealingly, the interviews uncovered fragmentation-compatible patterns that the quantitative data alone could not detect. Employees described navigating ambiguity, information overload, and conflicting signals about learning expectations. Some developed highly personalized coping strategies—screenshotting information and emailing it to themselves, listening to podcasts during commutes, or pursuing degrees on their own time and at their own expense. Learning was often displaced to evenings or squeezed between tasks, reflecting a gap between the organization&#8217;s stated commitment to development and the daily realities employees faced. These findings suggest that fragmentation is not merely a theoretical curiosity but a lived experience that shapes how learning actually happens.</p>
<p>Based on these findings, the researchers propose a clarified and extended definition of organizational learning culture that explicitly encompasses all three cultural perspectives. They define it as the system of assumptions, values, norms, and artifacts that shape how learning is interpreted, enacted, and supported within an organization—recognizing that these cultural meanings may be shared across the organization, consolidated within subgroups, or remain ambiguous, situational, and contested. This definition moves beyond the assumption of cultural unity that has characterized much of the field and provides a more nuanced foundation for future theorizing and measurement.</p>
<p>For practitioners, the implications are significant. The three-perspective approach offers a diagnostic tool that can reveal multiple realities of learning within a single organization—what appears as a supportive learning culture from an executive viewpoint may be experienced quite differently at the employee level. Managers who rely solely on aggregated survey scores risk overlooking subcultural variation and ambiguity that may undermine their learning initiatives. By examining coherence, subgroup differences, and ambiguity simultaneously, organizations can develop more targeted and effective interventions, transfer effective practices across units, and address the specific needs of less visible employee groups. The study ultimately challenges the field to embrace the full complexity of organizational learning culture rather than reducing it to a single, unified narrative.</p>
<p><strong>Subject of Research:</strong> Organizational learning culture examined through integration, differentiation, and fragmentation perspectives on organizational culture</p>
<p><strong>Article Title:</strong> A three-perspective approach to organizational learning culture: a systematic scoping review, conceptual clarification and extension, and an initial empirical investigation</p>
<p><strong>Article References:</strong> Kortsch, T., Schmitz, A. P., &amp; Germanus, R. (2026). A three-perspective approach to organizational learning culture: a systematic scoping review, conceptual clarification and extension, and an initial empirical investigation. <em>Frontiers in Organizational Psychology, 4</em>, Article 1746548. <a href="https://doi.org/10.3389/forgp.2026.1746548" rel="noopener noreferrer">https://doi.org/10.3389/forgp.2026.1746548</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.3389/forgp.2026.1746548" rel="noopener noreferrer">10.3389/forgp.2026.1746548</a></p>
<p><strong>Keywords:</strong> organizational learning culture, organizational culture, three-perspective approach, integration, differentiation, fragmentation, scoping review, mixed-methods case study, learning organization, workplace learning, subcultures, German bank</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">296042</post-id>	</item>
		<item>
		<title>Nurses Reveal What Really Makes Training Useful at the Bedside</title>
		<link>https://scienmag.com/nurses-reveal-what-really-makes-training-useful-at-the-bedside/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Wed, 14 Oct 2026 10:06:37 +0000</pubDate>
				<category><![CDATA[Science Education]]></category>
		<category><![CDATA[bedside clinical training]]></category>
		<category><![CDATA[blended learning]]></category>
		<category><![CDATA[clinical competence]]></category>
		<category><![CDATA[clinical skills development]]></category>
		<category><![CDATA[continuing professional development]]></category>
		<category><![CDATA[diabetes care]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[effective nursing training strategies]]></category>
		<category><![CDATA[healthcare system evaluation]]></category>
		<category><![CDATA[healthcare training assessment]]></category>
		<category><![CDATA[hospital and primary care nursing]]></category>
		<category><![CDATA[hospital care]]></category>
		<category><![CDATA[nurse education impact]]></category>
		<category><![CDATA[nursing continuing professional development]]></category>
		<category><![CDATA[Nursing education]]></category>
		<category><![CDATA[nursing knowledge translation]]></category>
		<category><![CDATA[ostomy care]]></category>
		<category><![CDATA[Patient Care Improvement]]></category>
		<category><![CDATA[primary care]]></category>
		<category><![CDATA[qualitative nursing research]]></category>
		<category><![CDATA[qualitative research]]></category>
		<category><![CDATA[Spain]]></category>
		<category><![CDATA[specialized nursing fields]]></category>
		<category><![CDATA[workplace learning]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=270539</guid>

					<description><![CDATA[A qualitative study of 28 Spanish nurses finds that accredited continuing professional development often fails to translate into clinically useful learning unless content, context, credibility, design, and organizational support align.]]></description>
										<content:encoded><![CDATA[<p>Every year, millions of nurses around the world complete accredited courses, collect their certificates, and return to work. Yet a striking new study from Spain suggests that much of this continuing professional development, known as CPD, never actually changes what happens to patients. The research, published in BMC Medical Education, asked nurses directly what makes training clinically useful, and their answers challenge long-standing assumptions about how healthcare systems measure professional learning.</p>
<p>The study was led by María Guadalupe Fontán-Vinagre of the Spanish Institute for Nursing Research, together with colleagues including corresponding author Ivan Herrera-Peco. The team conducted a qualitative descriptive-interpretive investigation with 28 nurses drawn from nine of Spain&#8217;s autonomous communities. Eleven of the participants worked in primary care and seventeen in hospital settings. Between January and June 2024, each nurse took part in an individual semi-structured interview, and the researchers deliberately used purposive maximum-variation sampling, recruiting people of different ages, levels of professional experience, care settings, and generalist or expert profiles. This design allowed the team to capture a broad spectrum of perspectives rather than the views of a single professional subgroup.</p>
<p>The clinical anchors of the study were diabetes care and ostomy care, two fields in which nursing knowledge changes rapidly and in which errors in daily practice carry real consequences for patients. By grounding the interviews in concrete clinical contexts, the researchers could move beyond abstract opinions about education and probe what nurses actually need to know, where they look for it, and whether the training they complete translates into better care.</p>
<p>Using thematic and comparative analysis of the interview transcripts, the team identified five interrelated themes that together define clinically useful CPD. The first theme framed continuing professional development as a negotiated professional responsibility, something nurses feel obligated to pursue but must constantly balance against workload and personal constraints. The second, and perhaps most provocative, was the disconnect between credentialing and clinically meaningful learning. Nurses reported that completing accredited education does not necessarily ensure that the learning is relevant or transferable to their daily practice. A certificate, in other words, is not the same as competence.</p>
<p>The remaining themes were contextual alignment, credibility, and adaptive educational architecture. Contextual alignment refers to how well training matches the realities of a nurse&#8217;s working environment. Credibility concerns whether the content reflects current evidence and whether educators are genuinely competent. Adaptive educational architecture describes the design of learning itself, including its format, flexibility, and the opportunities it provides for practice. Across all settings, nurses valued up-to-date evidence, content relevant to nursing rather than borrowed wholesale from medicine, skilled educators, practical hands-on learning, accessibility, and organizational support from their employers.</p>
<p>One of the study&#8217;s most interesting findings is how sharply the priorities diverge between primary care and hospital care. Nurses in primary care, who manage broad patient populations and must make quick decisions often in isolation, prioritized wide-ranging, concise, and immediately retrievable resources. They need answers they can access in the moment, during a consultation, without wading through lengthy modules. Hospital nurses, by contrast, emphasized specialized knowledge, specific procedures and devices, simulation, and supervised practice. Their learning needs are deeper and narrower, tied to the technologies and acute interventions of the ward. The implication is clear: a one-size-fits-all CPD program serves neither group well.</p>
<p>The study also delivered a nuanced verdict on online education, which expanded dramatically after the pandemic. Digital formats increase flexibility and geographic access, allowing nurses in rural areas or those with family responsibilities to participate in training that would otherwise be out of reach. But the researchers found a dark side: poorly designed online courses can facilitate superficial completion, in which nurses click through material simply to accumulate credits. This finding strikes at the heart of credentialing systems that count hours rather than outcomes. Blended education, which combines online theoretical preparation with in-person experiential learning, was valued precisely because it connects the two, letting nurses study at their own pace and then apply what they have learned under real conditions.</p>
<p>The conclusions of the study carry significant weight for policy. The authors argue that clinically useful CPD depends less on accreditation or on the choice of modality alone than on the alignment of content with clinical needs, care context, credible evidence, educational design, and organizational conditions. Programs, they suggest, should be differentiated by setting and by professional trajectory, so that a newly qualified hospital nurse and an experienced primary care nurse are not offered the same generic package. They also call for meaningful competency assessment, moving beyond attendance records to measures that actually verify what a nurse can do.</p>
<p>Perhaps the most practical recommendation concerns time. The researchers argue that programs must be supported through protected learning time and through opportunities to apply learning in practice. Without dedicated hours carved out of the working schedule, even the best-designed course becomes one more obligation squeezed into an already overloaded shift. And without the chance to use new skills on real patients soon after learning them, knowledge decays rapidly. Organizational support, in this vision, is not a bonus but a structural requirement.</p>
<p>The study was approved by the Research Ethics Committee of Universidad Alfonso X el Sabio and conducted in accordance with the Declaration of Helsinki, with all participants providing written informed consent. It received no specific external funding. As health systems worldwide grapple with aging populations, rising chronic disease, and persistent nursing shortages, the message from these 28 Spanish nurses is both simple and demanding: stop counting certificates and start building education that fits the ward, the consultation room, and the patient in front of you. The quality of nursing care, the study suggests, depends not on how much training nurses complete, but on how well that training is designed, delivered, and made usable where it matters most.</p>
<p><strong>Subject of Research:</strong> Factors that make continuing professional development clinically useful for nurses in primary and hospital care</p>
<p><strong>Article Title:</strong> What makes continuing professional development clinically useful for nurses? A qualitative study across primary and hospital care in Spain</p>
<p><strong>Article References:</strong> Fontán-Vinagre, M. G., Serna-Menor, A., Lucas-Guerra, C., Mata-González, G., Moreno-Sánchez, R., Ayuso-Murillo, D., López-Espuela, F., de la Calle, R. C., &amp; Herrera-Peco, I. (2026). What makes continuing professional development clinically useful for nurses? A qualitative study across primary and hospital care in Spain. <em>BMC Medical Education</em>. <a href="https://doi.org/10.1186/s12909-026-10517-y" rel="noopener noreferrer">https://doi.org/10.1186/s12909-026-10517-y</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12909-026-10517-y" rel="noopener noreferrer">10.1186/s12909-026-10517-y</a></p>
<p><strong>Keywords:</strong> continuing professional development, nursing education, clinical competence, primary care, hospital care, qualitative research, e-learning, blended learning, diabetes care, ostomy care, Spain, workplace learning</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">270539</post-id>	</item>
		<item>
		<title>Curious Minds, Open Offices: What Shapes How Workers Really Feel About AI</title>
		<link>https://scienmag.com/curious-minds-open-offices-what-shapes-how-workers-really-feel-about-ai/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Sun, 11 Oct 2026 22:56:29 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[AI adoption in workplaces]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[attitudes toward AI]]></category>
		<category><![CDATA[China]]></category>
		<category><![CDATA[corporate employees]]></category>
		<category><![CDATA[curiosity framework and AI adoption]]></category>
		<category><![CDATA[Current Psychology]]></category>
		<category><![CDATA[employee attitudes toward artificial intelligence]]></category>
		<category><![CDATA[factors shaping employee skepticism or enthusiasm for AI]]></category>
		<category><![CDATA[five-dimensional curiosity]]></category>
		<category><![CDATA[impact of individual learning habits on AI acceptance]]></category>
		<category><![CDATA[influence of learning environment on technology acceptance]]></category>
		<category><![CDATA[innovation climate]]></category>
		<category><![CDATA[moderated mediation]]></category>
		<category><![CDATA[organizational climate and innovation]]></category>
		<category><![CDATA[organizational factors affecting AI integration]]></category>
		<category><![CDATA[organizational psychology]]></category>
		<category><![CDATA[personality traits influencing AI attitudes]]></category>
		<category><![CDATA[self-directed learning]]></category>
		<category><![CDATA[self-directed learning and AI perception]]></category>
		<category><![CDATA[survey-based research on AI in Chinese workplaces]]></category>
		<category><![CDATA[Technology Acceptance]]></category>
		<category><![CDATA[technology acceptance theory in workplace AI]]></category>
		<category><![CDATA[workplace learning]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=263266</guid>

					<description><![CDATA[A survey of 423 Chinese corporate employees finds that self-directed learning fosters positive attitudes toward artificial intelligence both directly and through perceptions of a supportive innovation climate, with five-dimensional curiosity strengthening the personal pathway.]]></description>
										<content:encoded><![CDATA[<p>As artificial intelligence spreads through workplaces at a pace few predicted, one question has moved from the seminar room to the boardroom: why do some employees embrace AI with enthusiasm while others greet it with suspicion? A new study published in Current Psychology offers a carefully constructed answer, suggesting that the road to positive attitudes toward AI runs through two very different territories — the learning habits of individual workers and the innovation climate of the organizations that employ them. The research, based on survey data from 423 corporate employees in China, maps how self-directed learning, organizational context, and personality interact to shape how people evaluate artificial intelligence in their working lives.</p>
<p>The study, conducted by Wu Zhangxun of the Seoul School of Integrated Sciences and Technologies, draws on two well-established theoretical foundations: the five-dimensional curiosity framework and technology acceptance theory. Technology acceptance theory, rooted in the influential work of Fred Davis and later expanded into unified models of technology adoption, holds that people&#8217;s willingness to embrace new technologies depends heavily on their perceptions of usefulness and ease of use. Attitudes toward technology, in this view, are not fixed dispositions but evaluations that can be shaped by experience, context, and motivation. The five-dimensional curiosity framework, developed by Todd Kashdan and colleagues, breaks curiosity into distinct facets — including joyous exploration, deprivation sensitivity, stress tolerance, social curiosity, and thrill seeking — recognizing that curiosity is not a single switch but a spectrum of motivational tendencies.</p>
<p>At the heart of the study lies a concept with a long pedigree in adult education: self-directed learning. First formalized by Malcolm Knowles in the 1970s, self-directed learning describes the process by which individuals take initiative in diagnosing their own learning needs, setting goals, identifying resources, and evaluating outcomes, with or without help from others. In an era when the half-life of professional skills keeps shrinking, self-directed learning has been described as a fundamental competence for a rapidly changing world. The study&#8217;s central hypothesis was straightforward: employees who habitually drive their own learning should hold more positive general attitudes toward artificial intelligence, because learning-oriented people are more likely to encounter AI on its own terms, understand its capabilities, and integrate it into their sense of professional identity rather than experiencing it as a threat.</p>
<p>To test this idea, the researcher built a moderated mediation model — a statistical architecture that allows a single study to answer several questions at once. The first question is whether self-directed learning predicts general attitudes toward artificial intelligence. The second concerns mechanism: what carries that influence from one to the other? Here the study nominated innovation climate, the shared perception among employees that their organization encourages new ideas, tolerates experimentation, and rewards creative effort. The third question concerns boundary conditions: under what personal circumstances does the relationship strengthen or weaken? For that role, the study enlisted five-dimensional curiosity as a moderator, testing whether curious employees convert their learning into more favorable AI attitudes more readily than their less curious peers.</p>
<p>The data told a coherent story. Self-directed learning was positively associated with employees&#8217; general attitudes toward artificial intelligence, confirming the basic prediction that people who own their learning tend to view AI more favorably. More intriguingly, innovation climate mediated this relationship. Employees who engaged in self-directed learning perceived a stronger innovation climate around them, and that perception, in turn, was linked to more positive attitudes toward AI. The interpretation is subtle but important: learning-oriented employees do not simply absorb new technology in isolation. They appear to read their environment, and when their own proactive learning resonates with an organization that visibly values innovation, the combination translates into a more welcoming stance toward artificial intelligence.</p>
<p>The moderating results added a second, distinct layer to the picture. Five-dimensional curiosity moderated the direct link between self-directed learning and attitudes toward AI, but it did not significantly moderate the relationship between self-directed learning and innovation climate. In practical terms, curiosity changes how employees personally evaluate AI once they have learned about it, but it does not change how they perceive their organization&#8217;s innovativeness. The author concludes that innovation climate and employee curiosity operate through distinct mechanisms — one organizational and contextual, the other individual and motivational — and that both matter for how employees evaluate AI within organizational settings. This separation matters theoretically, because it suggests that the environmental pathway and the personality pathway are parallel rather than intertwined, each contributing independently to the formation of technology attitudes.</p>
<p>The study&#8217;s methodological choices deserve attention. The survey instruments were grounded in validated measures, including established scales for self-directed learning and general attitudes toward artificial intelligence, the latter a construct that has been formalized in recent years through dedicated psychometric instruments designed to capture attitudes toward AI as a general phenomenon rather than a specific application. The analysis followed modern conventions for testing mediation and moderation, drawing on statistical frameworks for conditional process models that have become standard in organizational psychology. The researcher also took steps associated with controlling common method bias, a well-known hazard in single-source survey research, and the work was conducted in compliance with the ethical principles of the Belmont Report, with written informed consent obtained from all participants for the publication of anonymized data.</p>
<p>Context matters for interpreting these findings. China has made artificial intelligence a national priority since the State Council&#8217;s 2017 New Generation Artificial Intelligence Development Plan, and state-owned enterprises in particular have been pushed to modernize through digital transformation initiatives. That policy backdrop makes Chinese corporate employees a revealing population for studying AI attitudes: they sit at the intersection of rapid technological deployment, organizational reform, and intense public discussion about the future of work. Attitudes toward AI in such an environment are not abstract opinions; they shape whether training programs succeed, whether AI tools are actually used once purchased, and whether employees experience technological change as opportunity or displacement.</p>
<p>For organizations, the practical implications are tangible. If innovation climate carries part of the effect of self-directed learning on AI attitudes, then companies cannot simply exhort employees to be curious about AI and expect results. They need to build visible, credible environments in which experimentation is safe, new ideas circulate, and learning is resourced — conditions long associated in the organizational literature with psychological safety and creative work environments. At the same time, because curiosity operates on the individual pathway, recruitment and development practices that identify and cultivate curious employees may pay dividends specifically in technology adoption. The two levers are complementary: one shapes the stage, the other shapes the actor.</p>
<p>The study also carries the usual caveats of cross-sectional survey research. Measuring learning, climate, curiosity, and attitudes at a single point in time means the causal ordering, however plausible theoretically, is inferred rather than observed — a limitation that methodologists have long flagged for mediation models of this kind. The sample, drawn from corporate employees in China, invites replication in other national and cultural contexts before the findings are generalized. And attitudes toward AI are a moving target: as generative tools reshape daily work, the meaning of a positive AI attitude itself may shift. Still, the study&#8217;s core contribution stands. It disentangles two forces — a contextual one and a personal one — that are often blurred together in discussions of technological change, and it suggests that winning hearts and minds for AI in the workplace requires attention not only to what employees learn, but to where they learn it and who they are when they do.</p>
<p><strong>Subject of Research:</strong> The relationship between corporate employees&#x27; self-directed learning and their attitudes toward artificial intelligence, mediated by innovation climate and moderated by five-dimensional curiosity.</p>
<p><strong>Article Title:</strong> Corporate employees’ self-directed learning and attitudes toward artificial intelligence: the mediating role of innovation climate and the moderating role of five-dimensional curiosity</p>
<p><strong>Article References:</strong> Zhangxun, W. (2026). Corporate employees’ self-directed learning and attitudes toward artificial intelligence: the mediating role of innovation climate and the moderating role of five-dimensional curiosity. <em>Current Psychology, 45</em>(17), Article 1493. <a href="https://doi.org/10.1007/s12144-026-10045-4" rel="noopener noreferrer">https://doi.org/10.1007/s12144-026-10045-4</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s12144-026-10045-4" rel="noopener noreferrer">10.1007/s12144-026-10045-4</a></p>
<p><strong>Keywords:</strong> artificial intelligence, self-directed learning, innovation climate, five-dimensional curiosity, technology acceptance, corporate employees, organizational psychology, attitudes toward AI, workplace learning, moderated mediation, Current Psychology, China</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">263266</post-id>	</item>
		<item>
		<title>Audio Diaries Reveal What Shapes Surgical Residents&#8217; Learning in the Clinic</title>
		<link>https://scienmag.com/audio-diaries-reveal-what-shapes-surgical-residents-learning-in-the-clinic/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Fri, 02 Oct 2026 11:26:24 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[audio diaries]]></category>
		<category><![CDATA[audio diaries in healthcare education]]></category>
		<category><![CDATA[burnout]]></category>
		<category><![CDATA[clinical exposure]]></category>
		<category><![CDATA[clinical learning environments]]></category>
		<category><![CDATA[clinical workplace learning]]></category>
		<category><![CDATA[hidden curriculum in medical education]]></category>
		<category><![CDATA[impact of high-pressure environments on surgical learning]]></category>
		<category><![CDATA[Medical Education]]></category>
		<category><![CDATA[oral and maxillofacial surgery]]></category>
		<category><![CDATA[Pakistan]]></category>
		<category><![CDATA[postgraduate surgical education]]></category>
		<category><![CDATA[qualitative research]]></category>
		<category><![CDATA[qualitative research in medical training]]></category>
		<category><![CDATA[real-world surgical learning processes]]></category>
		<category><![CDATA[reflective practice in surgical education]]></category>
		<category><![CDATA[residency training]]></category>
		<category><![CDATA[self-regulated learning]]></category>
		<category><![CDATA[supervision]]></category>
		<category><![CDATA[surgical education]]></category>
		<category><![CDATA[surgical education in Pakistan]]></category>
		<category><![CDATA[surgical residency training experiences]]></category>
		<category><![CDATA[surgical skill development]]></category>
		<category><![CDATA[workplace learning]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=227498</guid>

					<description><![CDATA[A qualitative audio-diary study of eleven oral and maxillofacial surgery residents in Pakistan reveals that clinical exposure, supervisor and peer support, and adequate resources drive workplace learning, while excessive workload, staff shortages and fear of complications hold it back.]]></description>
										<content:encoded><![CDATA[<p>Every surgeon remembers the first time a patient&#8217;s life sat in their hands, but the long, messy process of becoming a surgeon has remained largely invisible to researchers. Now a team in Pakistan has opened a rare window into that hidden curriculum. In a qualitative study published in Global Surgical Education, the Journal of the Association for Surgical Education, researchers asked eleven oral and maxillofacial surgery residents to record reflective audio diaries about their day-to-day learning in the hospital. The resulting thirty-three recordings, transcribed and analysed thematically, paint a vivid picture of how future surgeons actually learn: not in lecture halls, but in the crowded, high-pressure environment of the clinical workplace, where every extraction, every ward round and every complication carries an educational charge.</p>
<p>The study, led by Tariq Ahmad and Muslim Khan of Khyber College of Dentistry in Peshawar, together with Brekhna Jamil of the Institute of Health Professions Education at Khyber Medical University and Muhammad Shahzad of Khyber Medical University and Zarqa University in Jordan, focused on postgraduate residents enrolled in training programmes overseen by the College of Physicians and Surgeons Pakistan. Oral and maxillofacial surgery is a demanding specialty that bridges dentistry and medicine, requiring trainees to master everything from complex dentoalveolar procedures to the management of facial trauma, tumours and reconstructive surgery. Yet the researchers noted that the learning experiences of these residents, and the factors that help or hinder their development, had received surprisingly little systematic attention, particularly in low- and middle-income countries where most of the world&#8217;s surgical training actually takes place.</p>
<p>The methodological choice is what makes the study distinctive. Rather than relying on retrospective interviews, which are notoriously vulnerable to memory bias and to what participants think researchers want to hear, the team used the audio-diary technique described in the Association for Medical Education in Europe&#8217;s Guide No. 144. Each resident recorded three reflective audio diaries capturing their experiences close to the moment they occurred. This approach, grounded in experiential learning theory associated with David Kolb and in the sociocultural ideas of Lev Vygotsky, allows researchers to capture learning as it unfolds in real time, including the emotional texture of clinical work that formal assessments rarely register. The diaries were then transcribed verbatim and subjected to thematic analysis, a qualitative method that identifies recurring patterns of meaning across the corpus of narratives.</p>
<p>The central finding is that workplace learning in this surgical setting is a multifaceted process shaped principally by three forces: clinical exposure, collaboration, and a supportive organisational environment. Clinical exposure emerged as the engine of learning, with residents describing how hands-on encounters with patients, from routine third molar extractions under local anaesthesia to major oncological resections, provided the raw material from which surgical competence is built. This aligns with decades of research on informal workplace learning, notably Michael Eraut&#8217;s work showing that much professional knowledge is acquired incidentally, through participation rather than instruction. But exposure alone was not enough. The residents&#8217; accounts repeatedly emphasised that learning deepened when it was embedded in collaborative practice, where colleagues discussed cases, shared techniques and debriefed after difficult procedures.</p>
<p>The study identified a clear set of enablers that residents said made their learning possible. The overall work environment came first: hospitals where the atmosphere encouraged questions and permitted supervised autonomy transformed routine service work into educational opportunity. Supervisor support was another decisive factor. When consultants took time to explain the reasoning behind a surgical decision, demonstrated techniques step by step, or gradually entrusted residents with greater responsibility, trainees reported accelerated growth in both skill and confidence. This resonates strongly with the international literature on entrustment, including studies showing that faculty willingness to grant autonomy in the operating room is one of the strongest predictors of resident development. Peer support formed a third pillar, with senior residents functioning as what Vygotskian theory would call more knowledgeable others, scaffolding juniors through procedures just beyond their independent capability.</p>
<p>Perhaps most strikingly, the residents highlighted the availability of learning resources and support staff as a critical enabler, a finding that carries particular weight in resource-constrained health systems. Adequate nursing assistance, functioning equipment, access to journals and simulation facilities, and sufficient staffing to allow time for teaching all shaped whether a clinical day became a learning day or merely a shift to be survived. The researchers frame these findings within the concept of self-regulated learning, the process by which trainees set goals, monitor their own performance and adjust strategies. Self-regulation, the literature suggests, flourishes only when the workplace provides the psychological safety and material conditions that make deliberate practice possible. In surgical education, where the stakes of error are measured in patient harm, the environment is not a backdrop to learning but an active ingredient in it.</p>
<p>Against these enablers, the diaries recorded a darker catalogue of barriers. Excessive workload was the most frequently cited obstacle. Residents described rosters so demanding that fatigue eroded both their capacity to absorb teaching and their motivation to reflect on cases. This finding echoes a growing global literature on burnout among postgraduate medical trainees, including a systematic review published in CMAJ Open reporting substantial prevalence of burnout worldwide, and earlier Pakistani studies documenting burnout among surgical residents in the country&#8217;s public hospitals. The second major barrier was the lack of support staff, which forced residents to divert energy from learning into administrative and menial tasks, a phenomenon well documented in workplace-based studies from other lower-middle-income settings. The third barrier, fear of unexpected outcomes, deserves particular attention: residents described how anxiety about complications, and about the professional and emotional consequences of adverse events, made them hesitant to take on cases that would stretch their abilities.</p>
<p>This fear finding connects to one of the most important tensions in surgical training worldwide: the balance between patient safety and trainee autonomy. Research on trust in clinical education, including work by Hauer, Ten Cate and colleagues, has shown that supervisors calibrate the independence they grant based on perceived trainee competence, and that trainees in turn regulate their own participation based on their confidence and their reading of the supervisor&#8217;s trust. When fear of complications dominates, this delicate feedback loop can freeze, producing residents who remain passive observers far longer than their abilities warrant. The Pakistani study suggests that in settings with limited support staff and high patient volumes, this dynamic may be amplified, making structured supervision and psychological support after adverse events not luxuries but prerequisites for effective training.</p>
<p>The authors argue that understanding these enablers and barriers has direct practical value for the organisations that run postgraduate residency programmes in oral and maxillofacial surgery. By mapping where learning flourishes and where it stalls, programme directors can design more supportive and structured clinical training: protecting teaching time within heavy workloads, ensuring adequate staffing so residents are not consumed by non-educational tasks, training supervisors in feedback and entrustment, and building systems that help residents process complications constructively rather than through fear. The audio-diary method itself, the team suggests, could be adopted more widely, both as a research tool and as a reflective practice instrument for trainees, since recording regular reflections is known to deepen metacognition and professional identity formation.</p>
<p>The study&#8217;s significance extends well beyond one specialty or one country. With the global health workforce facing projected shortfalls of millions of workers by 2030, according to analyses in BMJ Global Health, most surgical training in the coming decades will happen in exactly the kind of resource-limited environments this study examined. Understanding how residents learn in those environments, and what institutions can do to multiply the enablers and dismantle the barriers, is therefore a matter of global health equity as much as educational theory. The voices captured in these thirty-three audio diaries, recorded between a resident and a recorder in the quiet after a long clinical day, offer a reminder that the making of a surgeon is a social and organisational achievement, not merely an individual one, and that every hospital, through its culture and its choices, is either building surgeons or wearing them down.</p>
<p><strong>Subject of Research:</strong> Workplace-based clinical learning experiences of oral and maxillofacial surgery residents in Pakistan</p>
<p><strong>Article Title:</strong> Exploring clinical workplace learning among oral and maxillofacial surgery residents: a qualitative audio diary study</p>
<p><strong>Article References:</strong> Ahmad, T., Jamil, B., Khan, M., &amp; Shahzad, M. (2026). Exploring clinical workplace learning among oral and maxillofacial surgery residents: a qualitative audio diary study. <em>Global Surgical Education &#8211; Journal of the Association for Surgical Education, 5</em>(1), Article 144. <a href="https://doi.org/10.1007/s44186-026-00549-9" rel="noopener noreferrer">https://doi.org/10.1007/s44186-026-00549-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44186-026-00549-9" rel="noopener noreferrer">10.1007/s44186-026-00549-9</a></p>
<p><strong>Keywords:</strong> oral and maxillofacial surgery, surgical education, workplace learning, audio diaries, residency training, qualitative research, supervision, burnout, self-regulated learning, Pakistan, medical education, clinical exposure</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">227498</post-id>	</item>
	</channel>
</rss>
