Refinement Of Theory Research Articles

Network analysis of ethnic-racial socialization competency and content among diverse parents of color: An eye toward intervention targets.

To help their children survive and thrive in our unequal society, parents of color must engage in the process of ethnic-racial socialization (ERS) or teaching about race, ethnicity, and racism. Equally important to the provision of ERS messages are parents' confidence, skills, and stress levels around delivering ERS (i.e., ERS competency). Currently, little work speaks to how different aspects of parental ERS competency and the content of the messages they give are related to each other. This is important to better understand not only for the continued refinement of theory but also to inform newly developed and future interventions intervening upon parental ERS. The present study, therefore, utilizes network analysis, an analytical tool not yet applied to the study of ERS but with the capabilities of illustrating the interrelations between specific aspects of ERS content and competency. Among 576 Black, Asian American, and Latinx parents (Mage = 44.52 years old, SDage = 9.16, 59.5% mothers) with adolescent children (Mage = 14.31, SDage = 2.48), we found evidence for relatively sparse interconnections between dimensions of ERS content and competency. However, we identified parental messages about racism and coping (preparation for bias), the celebration of diversity (cultural pluralism), the history and values of one's ethnic-racial group (cultural socialization), and parents' levels of socialization-related stress as particularly central, important aspects of ERS; these central components of ERS may have the potential to serve as particularly powerful intervention targets. Specific findings and the potential for network analyses to add to our understanding of the complex process of ERS are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Associations between cognitive appraisals and emotions: A meta-analytic review.

The core premise of cognitive appraisal theories of emotion is that emotions are produced from our interpretation of what we experience. Compared to other major theoretical frameworks in emotion, the appraisal perspective emphasizes the centrality of these cognitive interpretations in giving rise to emotions. Decades of research have yielded numerous studies that broadly agree on the centrality of the appraisal process, but differ in the details, with different lists of appraisal dimensions, terminology, and only qualitative predictions for the relationship between select appraisals and emotions. Despite hundreds of published empirical studies, the field still lacks a systematic, quantitative meta-analysis that can establish support for the detailed relationships between appraisals and emotions. Here, we conducted a mixed-effects meta-analysis of 2,634 effect sizes from 309 studies across 251 reports, covering 47 distinct appraisals and 63 emotions, to assess the evidence for 853 specific appraisal-emotion relationships. We find that 75.0% of previously hypothesized relationships between appraisals and emotions were statistically significant, with an average moderate-to-large effect size (mean r = .33). We also highlight many previously unpredicted relationships, with an average small-to-moderate effect size (mean r = .27), which can form the basis for future confirmatory studies and theory refinement. As a summary, we provide a taxonomy of appraisal dimensions, as well as appraisal profiles of these emotions, which could be useful to affective scientists, clinical psychologists, and applied behavioral researchers. Taken together, this review documents the state of knowledge in the field and generates new hypotheses for future research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Pandemic Palliatives and COVID-19 Coping: Toward the Development of a “Coping with Crisis Communications” (COCCO) Scale

ABSTRACT The COVID-19 pandemic underscored the critical role of coping strategies during global crises and demonstrated how official communications shape public responses. This study evaluates the psychometric validity of a novel pentadic “Coping with Crisis Communication” (COCCO) Scale, which categorizes coping behaviors into five behavioral responses: moving-with, moving-against, moving-outward, moving-away, and moving-inward. A national representative survey of 742 Swiss residents, conducted in February 2022, measured these coping responses to official COVID-19 communications from the Swiss Federal Office of Public Health (FOPH) and traditional Swiss news media (TNM). Items were developed to assess how participants engaged with, opposed, reached outward for support, distanced from, or internalized the messages. Confirmatory factor analyses tested multiple models (5-, 6-, 7-, and 8-factor structures) based on both the initial pentadic theory and data-driven refinements. While the original 5-factor model showed insufficient fit, a 7-factor model (moving-with, moving-toward, moving-against, moving-outward, moving-away, negative-moving-inward, positive-moving-inward) provided a satisfactory factor solution. This model exhibited measurement invariance across the three language versions of the scale (French, Italian, German) and across the two communication contexts (FOPH, TNM). The COCCO scale offers an effective, movement-based assessment of coping strategies in response to crisis communications, serving as a valuable tool for understanding public behavior during global crises.

Doing with or doing to? A realist case study of factors affecting the implementation of guidance on child sexual exploitation in Wales

There is currently limited research which considers the implementation of new policies in child protection practice. In this article, we explore policy implementation in children’s social care using recent Welsh policy on Child Sexual Exploitation (CSE) as a case study. We conducted a realist evaluation of the implementation of the new CSE guidance in a two-phased study. The development of an initial programme theory was done during phase 1 of the study and is discussed in a previous article. In this article we focus on the programme theory refinement, presenting our hypotheses and findings from semi-structured interviews, observation of practice and a Wales-wide survey, which illustrate how aspects of the context and the organisation have an impact on policy implementation. Our findings highlight the importance of clear implementation plans which engage key stakeholders and are appropriately resourced. We suggest recommendations for developing implementation plans, including appropriate training materials, access to formal and informal collaborative spaces for knowledge exchange, and the importance of a supportive organisational structure. These findings illustrate how child protection policies are implemented in practice by local authorities in Wales and shed light on how policies can be more effectively implemented in practice.

Optimising digital clinical consultations in maternity care: a realist review and implementation principles.

The COVID-19 pandemic has led to increased use of digital clinical consultations (phone or video calls) within UK maternity services. This project aimed to review the evidence on digital clinical consultations in maternity systems to illuminate how, for whom and in what contexts, they can be used to support safe, personalised and equitable care. A realist synthesis, drawing on diverse sources of evidence (2010-present) from OECD countries, alongside insights from knowledge user groups (representing healthcare providers and service users). The review used three analytical processes (induction, abduction and retroduction) within three iterative stages (development of initial programme theories; evidence retrieval and synthesis; validation and refinement of the programme theories). Ninety-three evidence sources were included in the final synthesis. Fifteen programme theories were developed showing that digital clinical consultations involve different mechanisms operating across five key contexts: the organisation, healthcare providers, the clinical relationship, the reason for consultation and women. The review suggests that digital clinical consultations can be effective and acceptable to stakeholders if there is access to appropriate infrastructure/digital resources and if implementation is able to ensure personalisation, informed choice, professional autonomy and relationship-focused connections. The review found relatively less evidence in relation to safety and equity. Due to the complexity of maternity systems, there can be 'no one-size fits all' approach to digital clinical consultations. Nonetheless, the review distills four 'CORE' implementation principles: C-creating the right environment, infrastructure and support for staff; O-optimising consultations to be responsive, flexible and personalised to different needs and preferences; R-recognising the importance of access and inclusion; and E-enabling quality and safety through relationship-focused connections. Service innovation and research are needed to operationalise, explore and evaluate these principles, particularly in relation to safety and equity. CRD42021288702.

Can everyone get interesting jobs? Estimating interest fit across gender, ethnicity, and education

AbstractAlthough research and policy efforts have attempted to “even the hiring playing field” and progress equal opportunities, systemic employment patterns based on gender and ethnicity remain prevalent. An unexplored avenue of diversity, equity, and inclusion efforts is the degree to which all people can obtain jobs that fit their interests. The present study used a large, diverse sample of over 250,000 American employees to estimate the average vocational interest fit that people have with their jobs and differences in fit across race/ethnicity, gender, and education. Overall, employees showed moderate positive vocational interest fit with their jobs, with an average profile correlation of .20 between person and job interests. There were small gender differences in vocational interest fit favoring men, especially White and Hispanic men, with minimal differences across other race/ethnicity groups. However, the largest group differences emerged for education, as employees with higher educational attainment showed greater vocational interest fit, particularly among women. Further intersectional analyses added greater nuance to these results, including how various groups achieve vocational interest fit across different types of jobs. Altogether, this work provides important fit benchmark estimates for researchers, counselors, organizational placement, and theory refinement.

2258 The need for delirium education and psychosocial care after discharge: a realist analysis of interviews with key stakeholders

Abstract Introduction There is limited understanding of long-term delirium care after discharge from hospital for older people. A realist approach was used to investigate the contextual factors and mechanisms of care that influence recovery from delirium. Realist evaluation is fundamentally theory-driven. A preliminary programme theory was used as the foundation for theory testing and refinement to develop the RecoverED intervention. Method Realist interviewing techniques were used to obtain real-world and lived experiences of delirium recovery and service use in the community for theory-building and testing. Semi-structured interviews were conducted with a purposive sample of people with delirium (N = 7), informal carers (N = 14), and healthcare professionals (N = 24). Data from the interviews were analysed using a deductive codebook of Context-Mechanism-Outcome (CMO) configurations. Open coding was also performed to identify inductive themes, which were then aggregated to elicit explanatory statements. Results There was support for a multicomponent delirium intervention including cognitive and physical rehabilitation, and psychosocial support. The analysis revealed the need for an additional component which focused on improving awareness and understanding about delirium among those with lived experience. In the context of insufficient knowledge about delirium, people experienced increased fear and anxiety among other negative outcomes. Offering a focused educational component as part of the intervention is expected to contribute to recovery outcomes. This was associated with CMOs identifying the need for positive relationships with staff, improving communication with staff and sense-making through staff emotional support. Conclusion(s) The preliminary programme theory was refined based on the realist analysis data. Additional components were included, one of which was targeted education for people with delirium and carers. Following a consultation with an expert panel, the intervention is being tested in a feasibility trial and process evaluation, which will analyse data from multiple sources using realist methods to further refine the intervention.

Parental Involvement to Promote the Social-Emotional Well-Being of Asian Immigrant Youth: A Cultural Mismatch of Teachers and Parents’ Perspectives

This conceptual paper applies the theory adaptation approach to integrate the literature concerning barriers experienced by Asian immigrant families in parental involvement, with a specific focus on comparative analysis of perspectives from Asian immigrant families and their teachers in the United States. The mismatch in the perceptions of parental involvement held by teachers and Asian immigrant parents supports the refinement and applications of the cultural mismatch theory of inequality. The theory provides a comprehensive understanding of how the misalignment between the prevailing school culture and the cultural background of practices of Asian immigrant families contribute to the barriers of parental involvement experienced by Asian immigrant families. The paper outlines implications for reducing the barriers in the communication and collaboration between schools and Asian immigrant families, improving parental involvement in schools, and promoting the social and emotional well-being of Asian immigrant youth. Impact Statement The conceptual paper is one of the first applications of the cultural mismatch theory of inequality in conceptualizing the barriers of parental involvement faced by Asian immigrant youth’s parents and teachers. It provides research and practical implications for school psychologists and other educators on improving their practices to address parental engagement barriers to promote social-emotional well-being of youth in communities of immigrants and other marginalized groups.

A rapid realist review on leadership and career advancement interventions for women in healthcare

Women represent 70% of the global health workforce but only occupy 25% of health and social care leadership positions. Gender-based stereotypes, discrimination, family responsibilities, and self-perceived deficiencies in efficacy and confidence inhibit the seniority and leadership of women. The leadership inequality is often compounded by the intersection of race and socio-economic identities. Resolving gender inequalities in healthcare leadership brings women’s expertise to healthcare decision making, which can lead to equity of healthcare access and improve healthcare services. With the aim of enhancing women’s advancement to leadership positions, a rapid realist review (RRR) was conducted to identify the leadership and career advancement interventions that work for women in healthcare, why these interventions are effective, for whom they are effective, and within which contexts these interventions work. A RRR ultimately articulates this knowledge through a theory describing an intervention’s generative causation. The Realist and Meta-narrative Evidence Syntheses: Evolving Standards (RAMESES) for conducting a realist synthesis guided the methodology. Preliminary theories on leadership and career advancement interventions for women in healthcare were constructed based on an appraisal of key reviews and consultation with an expert panel, which guided the systematic searching and initial theory refinement. Following the literature search, 22 studies met inclusion criteria and underwent data extraction. The review process and consultation with the expert panel yielded nine final programme theories. Theories on programmes which enhanced leadership outcomes among women in health services or professional associations centred on organisational and management involvement; mentorship of women; delivering leadership education; and development of key leadership skills. The success of these strategies was facilitated by accommodating programme environments, adequacy and relevance of support provided and programme accessibility. The relationship between underlying intervention entities, stakeholder responses, contexts and leadership outcomes, provides a basis for underpinning the design for leadership and career advancement interventions for women in healthcare.

Prescribed-time command filtered control for a class uncertain nonlinear systems

This article delves into the intricate challenge of implementing prescribed-time command filtered control in the context of uncertain nonlinear systems. Firstly, a prescribed-time function is defined to lay the groundwork for subsequent controller design. Subsequently, a novel prescribed-time command Filtered controller is proposed for high-order nonlinear systems featuring unknown parameters. This controller guarantees swift error convergence within a predefined time range, with the added capability of periodic error convergence to zero during subsequent controller operations. A pivotal innovation in this study lies in the controller’s design, which remains unaffected by the system’s initial conditions. This unique feature enables the prescribed time to be flexibly set within physical constraints, diverging markedly from conventional finite-time control theory. Theoretical analysis has conclusively shown that the controller achieves full-state tracking error convergence within the specified time frame. The efficacy of the research findings is substantiated through two simulation cases, underscoring a substantial contribution to the refinement and adaptability of nonlinear system control theory.

Configuration design of movable heavy-duty reconfigurable posture adjustment platform with dual motion modes

AbstractThe existing single-mode posture adjustment equipment for solar wing docking is only suitable for a limited number of satellite dimensions; it could not meet the diverse development trends of satellite models. The working range requirements are different when different-sized satellites dock with the solar wing, and the docking process is divided into two stages in this paper. While the DOFs required for the two stages are different, a movable heavy-load reconfigurable redundant posture adjustment platform (RrPAP) with dual motion modes is proposed in this paper. The RrPAP consists of a wheeled mobile platform and a reconfigurable parallel posture adjustment mechanism (PAM). The micro-motion PAM limb types are synthesized, and the comprehensive load-bearing index is proposed to select the mechanism types for heavy-load conditions. A decentralized four-limb six-degree-of-freedom (6-DOF) parallel micro-motion PAM is designed. In the macro-motion stage, for the PAM to still have a defined motion after being released from ground constraints, a serial coupling sub-chain is designed between adjacent limbs to restrict relative movement between them. A type synthesis method for symmetrically coupled mechanisms based on mechanism decoupling and motion distribution is proposed. Four types of symmetrically coupled mechanisms with multi-loop consisting of serial coupling sub-chains are synthesized by using this method. The feasibility of the proposed method is demonstrated through an example using the constraint synthesis method based on screw theory. This work provides a foundation for subsequent refinement and expansion of type synthesis theories and the selection of new types of mechanisms.

Realist process evaluation of the knowledge translation programme of a patient-oriented research network.

The Knowledge Translation (KT) Programme of a pan-Canadian strategic patient-oriented research network focused on brain-based developmental disabilities aimed to mobilize knowledge relevant to the network members. The programme also promotes and studies integrated Knowledge Translation (iKT) approaches involving different interested parties, such as researchers, patient-partnersand decision-makers, in all parts of the knowledge creation process. The objective of this study is to advance research programme evaluation methods through a realist evaluation of the process of implementing iKT activities. Realist process evaluation included: (1) development of initial programme theories (using the partnership synergy theory); (2) data collection and analysis; (3) synthesis and refinement of theories through engagement with literature; and (4) presentation of findings in context-mechanism-outcome (C-M-O) configurations. A range of project documentation records were reviewed for analysis, and three co-leads, a programme coordinator, and a senior research associate were consulted to contextualize the implementation process of relevant KT activities. Based on the developed C-M-O configurations, we identified five key mechanisms of generating synergy in the iKT processes: (1) Visible shared leadership that embodies what iKT looks like; (2) Researchers'readiness for iKT; (3) Adaptation and flexible allocation of resources to emerging needs; (4) Power sharing to create practical and creative knowledge; and (5) Collective voice for potential transformative impacts at the policy level. The current realist evaluation demonstrated how partnerships between researchers, patient-partnersand other interested parties can synergistically generate new ways of thinking among all interested parties, actionable strategies to integrate users in research, and solutions to disseminate knowledge. In particular, we identified a pivotal role for patient-partners to act as equal decision-maker helps building and maintaining partnerships and consolidating KT strategies.

Beyond a dichotomous operationalization of suicide attempts.

This article discusses a dichotomous operationalization of suicide attempts. Each year, millions of individuals worldwide make a suicide attempt (SA). Because of their obvious importance, clinicians and researchers commonly assess for a SA history by asking face-valid questions about whether an individual has engaged in any selfinjurious behavior with the intent to die within a given timeframe. Response options are typically dichotomous (yes/no), such that if an individual reported nonzero intent to die associated with their behavior(s) or if there were other indicators suggestive of intent, the individual would be considered to have attempted suicide. Regardless of the method of ascertainment, it is generally accepted that patients and study participants either do or do not have a SA history. The intention is not to suggest that more serious SAs-whether by the level of intent to die, means used, actual medical consequences, or chronicity criterion-are more worthy of clinical and scientific attention than less serious SAs. Instead, the intention is to bring greater awareness to considering-in theory testing and refinement, the design, analysis, and interpretation of research findings, and clinical practice-SAs as multidimensional behaviors that vary in levels of intent to die, means used, actual medical consequences, and chronicity. By doing so, the clinical impact of scientific findings will be more readily discernable. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Supply chain resilience and international manufacturing strategy: a case study from the semiconductor industry

PurposeThis paper studies the interrelations between the concepts of supply chain resilience and international manufacturing strategy. On the basis of an in-depth case study of a company in the semiconductor industry, the paper seeks to integrate the concept of resilience into international manufacturing strategy.Design/methodology/approachIn an explorative qualitative single case study of a semiconductor manufacturer, a systems thinking model is developed from expert interviews and literature research that displays the interrelations of constituent constructs of supply chain resilience and international manufacturing strategy.FindingsForecast accuracy and organizational inertia are identified as barriers to resilience, whereas information technology (IT) capabilities and vertical integration are identified as major levers. Causal relations between constructs are identified, and a concrete suggestion for theory refinement of the manufacturing strategy framework of Miltenburg (2009) is provided.Originality/valuePrior literature on international manufacturing networks (IMNs) has not sufficiently taken into account the importance of resilience in the formulation of international manufacturing strategies. This paper aids in the integration of this increasingly important concept, in a critical industry that has recently been subject to major disruptions.

Realist process evaluation of occupational performance coaching: protocol

IntroductionA cluster randomised controlled trial, the Meaning, Agency and Nurturing Autonomy (MANA) study, is underway comparing the effects of occupational performance coaching (OPC) and usual care on the social participation,...

On the agent-relativity of ‘ought’

Abstract In the standard theory of deontic modals, ‘ought’ is understood as expressing a propositional operator. However, this view has been called into question by Almotahari and Rabern’s puzzle about deontic ‘ought’, according to which the ethical principle that one ought to be wronged by another person rather than wrong them is intuitively coherent but the standard theory makes it incoherent. In this paper, I take up Almotahari and Rabern’s challenge and offer a refinement of the standard theory to handle the puzzle. I propose that ‘ought’ is evaluated relative to contextual parameters (e.g. Kratzer’s conversational backgrounds, Finlay and Snedegar’s alternative sets) and those contextual parameters are sensitive to agents as well as possible worlds.

Research on the influencing factors of adult learners' intent to use online education platforms based on expectation confirmation theory

This study addresses the understanding gap concerning the factors that influence the continuous learning intention of adult learners on online education platforms. The uniqueness and significance of this study stem from its dual focus on both platform features, such as service quality, and course features, including perceived interactivity and added value, aspects often overlooked in previous research. Rooted in Expectation Confirmation Theory, the study constructs a comprehensive model to shed light on the complex interplay of these factors. Empirical evidence collected from a survey of 1592 adult learners robustly validates the effectiveness of this model. The findings of the study reveal that platform service quality, perceived interactivity, and perceived added value significantly amplify adult learners' expectation confirmation and perceived usefulness. These elements subsequently enhance learner satisfaction, fostering their ongoing intention to use online education platforms. These insights offer practical guidance for online education providers, emphasizing the necessity to enhance platform service quality and course features to meet adult learners' expectations and perceived usefulness. The study provides valuable perspectives for devising strategies to boost user satisfaction and stimulate continuous usage intention among adult learners in the intensely competitive online education market. This study enriches the literature by uncovering the relationships among platform features, course features, expectation confirmation, perceived usefulness, and continuous usage intention. By proposing a comprehensive model, this study provides a novel theoretical basis for understanding how platform and course features impact adult learners' ongoing intention to use online education platforms, thereby aiding the evolution and refinement of relevant theories.

Supply chain sustainability and risk management in food cold chains – a literature review

PurposeThis article aims to evaluate published food cold chain (FCC) literature against risk management and supply chain sustainability concepts.Design/methodology/approachThe article uses the theory refinement logic proposed by Seuring et al. (2021) to analyze the contents of FCC management-related literature published over the past 20 years. A sample of 116 articles was gathered using Web of Science and subsequently analyzed. The respective articles were then systematically coded against the frameworks of Beske and Seuring (2014) and Vlajic et al. (2012), which focused on building sustainable and robust supply chains, respectively.FindingsThe literature review revealed that debates around managing contemporary sources of disruptions/vulnerability and making FCCs more sustainable and resilient are gradually developing. However, an overarching risk management perspective along with incorporating social and environmental dimensions in managing FCCs still needs the adequate attention of the respective research community.Research limitations/implicationsThe deductive internal logic of theory refinement approach used in this paper could have been further strengthened by using additional frameworks. This limitation, however, opens avenues for further research. The findings of the paper will stimulate the interest of future researchers to work on expanding our understanding related to sustainability and risk management in FCCs.Originality/valueThe paper is the first attempt to organize published FCC literature along dimensions of supply chain sustainability and risk management. The paper thus provides the respective researchers with a foundation that will help them adopt a focused approach to addressing the research gaps.

The role of financial inclusion, urbanization, and energy efficiency on environmental performance in belt and roads initiative (BRI) economies

The primary objective of the study is to determine how environmental performance is affected by several factors, including trade freedom, industrial production, urbanization, financial inclusion, and energy efficiency. This research provides a novel perspective on the environmental performance of Belt and Roads Initiatives (BRI) member states by employing panel data from 1991 to 2021. It contributes to our understanding of the role of several factors in improving environmental performance. Panel data analysis also incorporates the CD, CIPS, FMOLS, DOLS, and PMG-ARDL tests. This research possesses substantial theoretical ramifications, as it might enable the expansion and refinement of current economic and environmental theories. As per the findings of this research, each factor significantly affects environmental performance (ecological foot-point). This contributes to short-term environmental issues by conserving resources and lowering emissions, creating the framework for long-term environmentally friendly procedures and innovation. Strong environmental policies that may cause effective environmental performance in Belt and Roads Initiatives (BRI) countries.

Co‐designing enduring learning analytics prediction and support tools in undergraduate biology courses

AbstractEven highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co‐redesign methods in partnership with disciplinary experts to create high‐structure STEM courses that better support students and produce informative digital event data. To those data, we applied theory‐ and context‐relevant labels to reflect active and self‐regulated learning processes involving LMS‐hosted course materials, formative assessments, and help‐seeking tools. We illustrate the predictive benefits of this process across two cycles of model creation and reapplication. In cycle 1, we used theory‐relevant features from 3 weeks of data to inform a prediction model that accurately identified struggling students and sustained its accuracy when reapplied in future semesters. In cycle 2, we refit a model with temporally contextualized features that achieved superior accuracy using data from just two class meetings. This modelling approach can produce durable learning analytics solutions that afford scaled and sustained prediction and intervention opportunities that involve explainable artificial intelligence products. Those same products that inform prediction can also guide intervention approaches and inform future instructional design and delivery.Practitioner notesWhat is already known about this topic Learning analytics includes an evolving collection of methods for tracing and understanding student learning through their engagements with learning technologies. Prediction models based on demographic data can perpetuate systemic biases. Prediction models based on behavioural event data can produce accurate predictions of academic success, and validation efforts can enrich those data to reflect students' self‐regulated learning processes within learning tasks. What this paper adds Learning analytics can be successfully applied to predict performance in an authentic postsecondary STEM context, and the use of context and theory as guides for feature engineering can ensure sustained predictive accuracy upon reapplication. The consistent types of learning resources and cyclical nature of their provisioning from lesson to lesson are hallmarks of high‐structure active learning designs that are known to benefit learners. These designs also provide opportunities for observing and modelling contextually grounded, theory‐aligned and temporally positioned learning events that informed prediction models that accurately classified students upon initial and later reapplications in subsequent semesters. Co‐design relationships where researchers and instructors work together toward pedagogical implementation and course instrumentation are essential to developing unique insights for feature engineering and producing explainable artificial intelligence approaches to predictive modelling. Implications for practice and/or policy High‐structure course designs can scaffold student engagement with course materials to make learning more effective and products of feature engineering more explainable. Learning analytics initiatives can avoid perpetuation of systemic biases when methods prioritize theory‐informed behavioural data that reflect learning processes, sensitivity to instructional context and development of explainable predictors of success rather than relying on students' demographic characteristics as predictors. Prioritizing behaviours as predictors improves explainability in ways that can inform the redesign of courses and design of learning supports, which further informs the refinement of learning theories and their applications.