An integrative educational framework to enhance logical reasoning and cognitive skills in undergraduate nursing students: A constructivist grounded theory approach.

COVID-19 pandemic exhausted the learning resources in the educational system of the Philippines. This situation called for learning materials to supplement the teaching-learning process while in distance education. Hence, this paper utilized asynchronous video lectures (AVL) infused with online learning simulators (OLS) to supplement learning approaches in teaching cell division. Specifically, the goal of this study is to asses the students’ motivation as well as their common misconceptions in learning cell division. Using students’ motivation towards science learning (SMTSL) questionnaire, it was found that the learners are moderately motivated in general and are low to highly-motivated in other areas considered. These results may be associated to the absence of teacher and student interaction. Using the relational and structural scoring of concept maps, it was found that the concept map scores of the learners before and after the use of AVL with OLS were found to be significant. This implies that the misconception of the learners has significantly improved. With this, the AVL with OLS can be utilized as a learning supplement to teach cell division with recorded moderate levels of motivation among learners as well as the significant improvement in the misconceptions among them. Nonetheless, more improvements may be applied to boost the motivation levels among learners.

As building regulations grow in complexity and digital design workflows become more integrated, the need for automated compliance checking (ACC) is intensifying. This review combines PRISMA with AI-assisted semantic retrieval and concept mapping, using Boolean and Deep Search to identify 88 peer-reviewed studies and broaden coverage across disciplines. The dual approach balances methodological rigour with the discovery capacity needed to surface studies missed by conventional keyword searches, enabling lifecycle-oriented synthesis. The paper synthesises recent advances across rule-based, ontology-driven, and AI-enhanced ACC systems, tracing a shift toward more flexible, lifecycle-aware compliance frameworks. It also introduces a conceptual map that visualise ACC processes across five lifecycle stages. Persistent barriers include interoperability gaps, limited post-construction support, and challenges in large-scale rule formalisation. Findings indicate the growing need for hybrid tools that support re-checking and traceability. The paper outlines future directions for transparent, adaptive, and jurisdiction-sensitive ACC systems in design automation and regulatory practice. • ACC systems are systematically reviewed using PRISMA and Deep Search. • A conceptual map illustrates an integrated ACC framework across the lifecycle. • Early rule-based ACC has evolved into AI, LLM, and ontology-driven systems. • Future directions focus on interoperability, re-checking, and rule scalability.

Equity, diversity, and inclusion (EDI) are increasingly emphasized in clinical research, yet practical guidance for applying inclusion principles across all clinical trial stages remain limited. Qualitative research can help address this gap by exploring participant experiences and identifying barriers to inclusive trial conduct. The aim of this review is to map guidelines and recommendations in relation to inclusive trials methodology and to identify areas across these resources that can be potentially informed by qualitative research. This review presents Phases 1 and 2 of the QuAlitative reSearch Supporting IncluSive Trials (Q-ASSIST) study. In Phase 1, we conducted a focused mapping review and synthesis (FMRS) of publicly available guidelines related to Phase 3 and later clinical trials involving human participants. Eligible guidelines included those offering recommendations to enhance inclusive trial design and conduct. Each guideline was mapped to a priori data extraction framework informed by the Standard Protocol Items: Recommendations for Interventional Trials and Consolidated Standards of Reporting Trials 2025 guidelines. We then performed a narrative synthesis to examine the EDI focus of the selected guidelines and structured the findings according to the PRO-EDI Framework. In Phase 2, we juxtaposed the trial stages identified through our FMRS with O'Cathain et al's framework of qualitative research in trials. We identified 15 guidelines through FMRS. Through conceptual mapping to Standard Protocol Items: Recommendations for Interventional Trials and Consolidated Standards of Reporting Trials headings, we developed a 12-stage trial lifecycle framework (the Q-ASSIST trial stages model) to organize inclusion guidance. Most guidelines emphasized early stages of trials, with later stages less frequently addressed. Mapping to the PRO-EDI framework showed strong attention to race/ethnicity, gender, socioeconomic status, and disability, but limited focus on sexual identity, education, or intersectionality. Juxtaposition with O'Cathain et al's framework highlighted similar gaps in how qualitative research has been used, especially in later trial stages. Current inclusion guidance is concentrated in the early stages of trial design, with limited attention to later trial stages. Qualitative research offers a valuable way to address these gaps by capturing participant perspectives and supporting inclusive practices across the trial lifecycle. This review provides a foundation for developing practical tools to guide more inclusive trials, with the next phase involving coproduction of guiding principles with interest holders.

Purpose: This study analyzes the scientific production of the Transformative Service Research (TSR) topic to understand the research field, identifying the principal authors, journals, emerging themes, methods, and service context. Design/methodology/approach: We performed a bibliometric analysis using the bibliometrix package in the R language. From a search and filtering of the Web of Science and Scopus database, we analyzed 284 articles published between 2010 and 2023 in the field of TSR. We used citation analysis to identify influential authors. We also examined the area’s intellectual, conceptual, and social structures based on co-citation, conceptual map analysis, and collaborative networks between authors. In the second stage, we performed content analysis to identify the main methods and service contexts researched in the TSR field. Findings: The results indicate that the number of articles using TSR has grown in the last five years. Research on health and financial services has been focused. We identified emerging themes such as hospitality, sustainability, and discrimination. Most studies used a qualitative approach. Theoretical/methodological contributions: The findings identified the primary services investigated in the research, thus demonstrating the services that researchers need to explore to improve the practice of transforming services. TSR is still a developing field, and this work organizes the existing literature to identify underexplored themes/services/contexts and propose a research agenda to encourage future research.

Purpose As digital interactions increasingly replace traditional face-to-face exchanges, the ability to embed empathy into technological systems has become a critical frontier. This study aims to examine the growing role of artificial empathy (AE) in human–AI interactions, focusing on its transformative impact within the marketing domain, where empathy-driven technologies are increasingly vital for fostering long-term consumer relationships. Design/methodology/approach This study uses a systematic literature review of AE research published over the past two decades. Relevant articles were identified through structured keyword searches in selected academic databases, applying predefined inclusion and exclusion criteria (e.g. peer-reviewed journal articles, relevance to marketing and consumer behavior and English language publications). The final sample (n = 85) was analyzed using bibliometric mapping and qualitative content analysis to trace the conceptual development of AE, identify its key antecedents and consequences and propose future research trajectories. Findings The analysis reveals five dominant research streams: emotion recognition technologies, AI-driven emotional engagement, AE in marketing analytics, sentiment analysis in social media and emotion detection in wearable and immersive environments. Antecedents of AE include technological infrastructure, consumer emotional dynamics, human-centered design and relational marketing practices. AE is linked to both positive outcomes, such as increased trust, personalization and customer experience, and critical challenges. Research limitations/implications While this review synthesizes key trends and gaps in the literature, future empirical studies are needed to validate proposed frameworks and assess the real-world implications of AE adoption across diverse marketing contexts. Originality/value This study develops a theoretical framework of the antecedents and consequences of AE in marketing while providing a comprehensive and integrative overview of the field. It further identifies four emerging research frontiers that offer a strategic foundation for advancing theory and designing emotionally intelligent marketing systems.

This study explores the epistemological foundations of Abdullah Saeed’s contextual hermeneutics within contemporary Qur’anic studies. In the twenty-first century, the growing demand to relate the Qur’an to changing social, ethical, and legal realities has made context-sensitive interpretation an important scholarly concern. Building upon and extending Fazlur Rahman’s double movement theory, Saeed introduces a contextual connector through a structured hierarchy of values that mediates between the historical meaning of the text and its contemporary application. This research employs a systematic conceptual mapping of Saeed’s interpretive framework, with primary reference to Interpreting the Qur’an: Towards a Contemporary Approach and Reading the Qur’an in the 21st Century. The findings indicate that Saeed offers several significant theoretical contributions, including refining interpretive stages, articulating ideal moral values, and classifying Qur’anic values hierarchically to guide contextual reasoning. This study reconstructs Saeed’s four-stage interpretive process into a simplified and integrative conceptual model that clarifies the epistemological relationship among text, interpreter, context, and application. Overall, Saeed’s framework reflects a coherent epistemological architecture that integrates sources of knowledge, methodological principles, and criteria of interpretive validity to support responsible and contextually grounded Qur’anic interpretation in contemporary Muslim societies. The coherence of the four stages of contextual interpretation constitutes a central element of Saeed’s epistemological validity; the omission of any stage would undermine the internal consistency of the method and consequently weaken its interpretive legitimacy. This study also identifies a reconstructed interpretive framework presented as a conceptual map.

This article introduces the CoLiRa (Computational Literature Review & Analysis) framework, a novel integration of established computational algorithms designed to quantitatively analyze and map the evolution of scientific fields. Employing a human-in-the-loop epistemological approach, CoLiRa combines the scalability of automated algorithms with the semantic coherence of expert-driven qualitative research. The multi-stage pipeline incorporates Latent Dirichlet Allocation (LDA) for thematic discovery, cluster analysis (K-Means and Multidimensional Scaling) for conceptual mapping, and Ordinary Least Squares (OLS) regression to monitor temporal trends. Algorithmic outputs are structurally validated by domain experts using quantitative metrics. The framework’s end-to-end capabilities are demonstrated through a proof-of-concept case study on the semantic enrichment of tabular data, encompassing studies up to 2024 that utilize Semantic Web ontologies, Linked Data, and knowledge graphs. The analysis identifies three core research topics and finds no statistically significant linear trends, suggesting thematic coexistence. This work provides a validated, hybrid computational approach for conducting robust literature reviews and mapping research trajectories.

Concept map is a graphic representative tool that connects students’ learning with their past knowledge. The current study aimed to determine how concept mapping affected the achievement of pre-service teachers. This study was experimental in nature. Students from GCUF's department of education were the targeted population, focusing specifically on the B.Ed. program. Students in the third semester of B.Ed. 1.5 were chosen who joined teaching practice after the intervention. A quasi-experimental research design was applied to test the hypothesis of the study. Randomly, students were selected into two groups for control and experimental group. A sample size was 58 students. Experimental group was treated by concept mapping whereas conventional teaching methods were treated for the control group. 8 weeks course planning of general methods of teaching were used for the implementation. The Students’ Achievement Test (SAT) used the for both the pre-test and post-test to ensure consistency in measurement. A paired sample and independent t-tests were applied to analyze the data. The results showed that concept mapping is an effective instructional strategy for improving pre-service teachers’ achievement. It also concluded that the use of concept mapping enhances academic achievement and supports more effective learning compared to conventional teaching approaches.

PurposeThis paper presents an integrated framework combining perspectives from nursing, environmental psychology, and critical space theory. The framework is intended to support the study of materiality in ICUs and to inform future research on stakeholders' needs and guiding design interventions for more supportive, healing care environments.BackgroundIntensive care units (ICUs) are paradoxical spaces designed to save lives yet often experienced by patients as environments of dependency, disorientation, and loss of control. Materiality of the ICU environments can exacerbate stress and compromise recovery. While interventions addressing the material environment show promise in improving care experiences, existing approaches remain limited by single-theory perspectives that fail to capture the complexity of ICU materiality.MethodsThe integrated conceptual framework was developed through theory-informed synthesis guided by relevance to ICU settings and theoretical complementarity. Three established theories were synthesized-Roy's Adaptation Model, Ulrich's Theory of Supportive Design, and Lefebvre's Critical Theory on Space Production-using conceptual mapping across ontological, interactional, and interventional levels.ResultsThe analysis revealed convergent points and complementary relationships across the three theories. The integrated framework synthesizes these perspectives across three interconnected dimensions: environmental stimuli and adaptive response, spatial production and power relations, and evidence-based supportive design.ConclusionsThe integrated framework demonstrates that healing ICU environments require interdisciplinary approaches addressing interconnected biological, psychological, social, and material dimensions simultaneously. Effective interventions must target adaptive physiological needs, reduce psychological stress through supportive design, and challenge spatial power relations that marginalize patients and families. This framework provides a foundation for research and practice that empowers all care-related stakeholders to actively shape healing ICU environments.

This study investigated the effect of the Concept Mapping Instructional Strategy (CMIS) on students’ achievement in the circulatory system in Biology, compared to the conventional method. A quasi-experimental, pre-test, post-test, and post-post-test non-equivalent control group design was adopted. The sample comprised 96 Senior Secondary Two (SS II) students selected from two co-educational public secondary schools in the Federal Capital Territory (FCT), Abuja, Nigeria. Students were randomly assigned to experimental (50) and control (46) groups. The experimental group received instruction through CMIS, while the control group was taught using the conventional lecture method. Data were collected using the validated Circulatory System Achievement Test (CSAT), a 30-item multiple-choice instrument adapted from past WAEC examinations and aligned with Bloom’s taxonomy. The reliability coefficient of the CSAT, established using the Kuder-Richardson Formula 21 (K-R21), was 0.87, indicating high internal consistency. Data were analyzed using mean, standard deviation, and analysis of covariance (ANCOVA) at a 0.05 significance level. Findings revealed that students taught with CMIS achieved significantly higher mean scores than those taught using the conventional method. Additionally, no significant difference was found between the achievement and retention scores of male and female students taught with CMIS, indicating its gender inclusivity. The study concluded that CMIS enhances meaningful learning, conceptual understanding, and achievement in Biology. It recommended the integration of CMIS into the Biology curriculum and teacher training programs to promote active learning and improved performance.

Background Policy games can frame in silico interventions in public health. This study aims to map the WHO’s action framework for health equity, supported by social science theories, onto game components related to non-player characters in digital policy games. Embedded in social system theories, the WHO policy framework provides a robust knowledge base for designing policy games, highlighting the overarching problem and the social issues involved. Method Conceptual mapping is used to translate systems and agency challenges related to health equity into game components. Results Social system theories, with clarified subjective agency, are successfully used to map the WHO’s action framework to game components suitable for designing policy games aiming to improve health equity and how social determinants of health emerge and persist. Conclusion This study shows how a solid knowledge base can support the design and theoretical foundation of interventions in policy games addressing health equity. It focuses on configuring the game system and actions of non-player characters. This approach contributes to strengthening the development of non-character players in digital policy games and paves the way for future use of such games to explore and investigate how the structural determinants of health might be created, maintained, and disrupted, as well as revealing the unintended effects of interventions in simulated environments.

ABSTRACT Purpose To examine the factors and processes that sustain the efficacy of farmer groups as extension intermediaries for influencing collective innovation, and knowledge co-creation and exchange. Design/Methodology/Approach Data was collected from farmer interviews, focus groups, and the published digital documents of five farmer groups across SE Australia. A grounded theory mixed-methods approach was used for data collection and analysis, aided by Atlas software in constructing concepts and a concept map representing group processes. Findings The ability of groups to influence farm innovation, and farmer learning and knowledge co-creation, depends on the group efficacy. Group identity in advancing farmer interests and collective influence were the strongest contributors to group efficacy. Diagnostic criteria were developed by which to evaluate the efficacy of farmer groups. Practical implication The findings provide actionable insights for forming and enhancing farmer groups in similar socio-ecological contexts, enabling them to more effectively influence farmer learning and innovation. Theoretical implications Theories of complexity, optimal distinctiveness, and social interdependence are crucial to the efficacy of farmer groups for successful agricultural extension. Originality This study identifies factors and processes that sustains group efficacy and influence in enhancing farmer learning and innovation.

Architectural design education is increasingly shaped by tensions between global standardization frameworks and locally situated studio practices. Although policies such as the Bologna Process and the UNESCO–UIA Charter acknowledge diversity, they often fail to capture the relational nature of studio-based learning. This study addresses this gap by conceptualizing the architectural design studio as a pedagogical ecosystem rather than a uniform curricular structure. Drawing on a qualitative comparative analysis of twelve architecture schools in Turkey and Europe, the study examines how pedagogical orientations emerge through interactions among institutional contexts, educator approaches, and student learning experiences. Empirical material includes interviews with 21 studio instructors, supported by institutional documents, field observations, student interviews, and project outputs. Using reflexive thematic analysis and conceptual mapping, the findings show that pedagogical orientations are shaped less by institutional type than by configurations of scale, mission, and studio culture, where value awareness operates as a situated practice.

Aligning the Clinical Judgment Management Model With Clinical Concept Mapping.

Care for individuals with laryngectomy (IWL) is complex, requiring access to specialized multidisciplinary services along the full care continuum. However, evidence supports that challenges are experienced by some IWL accessing supportive care, with current care systems not addressing patients' postoperative and long-term needs, contributing to poor outcomes and increased patient and caregiver burden. This study explored perceptions of IWL about overall health services and speech-language pathology (SLP) care to identify and prioritize opportunities for supportive care optimization. Concept mapping methodology was used to identify what IWL perceived were important to support their care. Through the multistep concept mapping process, qualitative and quantitative data were used to identify, then prioritize, critical elements of care that IWL feel should be optimized in the care pathway. Fourteen IWL from two health services generated 32 unique statements. Hierarchical cluster analysis revealed that statements fell within seven clusters: (1) comprehensive healthcare professional access and support; (2) psychological care and trust in healthcare; (3) supporting adjustment to life after surgery; (4) managing the treatment and recovery pathway; (5) communication restoration and peer-support; (6) inpatient care; and (7) no underlying theme. The Go-Zone map revealed 15 statements that were rated highest for importance, with the majority of these focusing on improving psychological care and adjustment postsurgery. IWL identified and prioritized actions to enhance services relating to preoperative education, psychological care, access to healthcare professionals, peer support, and financial supports. These findings can be used to inform an enhanced care pathway for IWL.

Concept mapping links free-text descriptions to standardized concepts in biomedical terminologies and ontologies. Existing approaches fall into two main categories: rule-based systems, which are interpretable but struggle with ambiguity and scalability, and learning-based methods, which leverage contextual signals but perform poorly on long-tail concepts due to limited training data and offer limited explainability. To address these limitations, we propose Medical Concept Mapping (MCM), a novel agentic workflow that uses language models to rephrase ambiguous mentions into explicit, standardized descriptions prior to concept linking. This reformulation substantially improves mapping accuracy for underrepresented and abbreviated concepts. Across multiple benchmarks, MedMentions, ST21pv, and MCN, MCM outperforms state-of-the-art baselines, including KrissBERT, SciSpaCy, and USAGI, achieving Recall@1 scores of 63.3, 60.0, and 67.9, respectively. On zero-shot abbreviated mentions, MCM maintains strong performance, exceeding baseline Recall@1 by up to 24.8 points. Human evaluation confirms the quality of LLM-generated expansions: 79.4% were rated as reasonable and useful, and GPT-OSS received the highest approval (85.1%). These results demonstrate that MCM enables more accurate, interpretable, and robust long-tail concept normalization for biomedical applications.

Black fathers in America play crucial roles in the development of their children, but face systemic and structural inequities that strain their fatherhood role and negatively affect their well-being and family experiences. Research on Black fatherhood has traditionally been reactive, deficit-based, and conducted without input from Black fathers themselves, with fatherhood services and policies following suit. The present study utilized concept mapping, a community-based participatory research method, to assess what Black fathers in America need to adapt and succeed in their fatherhood role despite the sociopolitical context in which they live. Black community advisory board participants (n = 9) brainstormed 60 unique items and grouped them into six unique clusters: gatekeeper-less resources, tools of relational engagement, receptivity to influence, sustained mentorship and accountability growth, positive internal mindset, and purposeful leadership. By centering the voices of Black fathers and those who support them, this study provides a framework for future programmatic and advocacy efforts to foster the positive adaptation and success of Black fathers. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Supporting self-determination in people with mild intellectual disabilities and drug-resistant epilepsy: A concept mapping study on the views of relatives and professionals.

• Faculty perspectives on CBC reveal role shifts in nursing education. • Concept mapping and simulation improved student engagement and reasoning. • Findings call for faculty support to sustain curriculum reform in diverse settings. The Concept-Based Curriculum (CBC) promotes critical thinking and deep learning in nursing education. At the University of Calgary in Qatar, CBC was implemented to align with international standards and national healthcare goals. Faculty play a central role in this pedagogical shift, yet their perspectives remain underexplored in transnational settings. To explore faculty experiences in implementing CBC in a culturally diverse nursing program. A qualitative descriptive study used semistructured interviews with 15 faculty members involved in CBC development and teaching. Thematic analysis followed Braun and Clarke’s framework. Six themes emerged: (1) concept mapping as a scaffold for learning, (2) structured prebriefing and debriefing to promote reflection, (3) evolving faculty roles from content experts to facilitators, (4) balancing content with conceptual depth, (5) navigating institutional and curricular constraints, and (6) perceived gains in student engagement and clinical reasoning. These themes reflected systemic change in teaching philosophy, institutional support, and learner engagement. CBC implementation fostered pedagogical transformation and improved learning, requiring sustained faculty development and institutional support.