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From Reflection to Action:A Controlled Field Study on How Learners Interpret and Respond to Feedback in Learning Analytics Dashboards
No full textBackground: Learning analytics dashboards (LAD) have been developed as feedback tools to help students self-regulate theirlearning (SRL) by using the large amounts of data generated by online learning platforms. Despite extensive research on LADdesign, there remains a gap in understanding how learners make sense of information visualised on LADs and how they self-reflect using these tools.Objectives: We address this gap through an experimental study where a LAD delivered personalised SRL feedback based on in-teractions and progress to a treatment group, and minimal feedback based on the average scores of the lecture to a control group.Methods: After receiving feedback, students were asked to write down how they planned to adjust their study habits. Thesereflection texts are the target of this study. Three human coders analysed 1251 self-reflection texts from 417 students at threedifferent times, using a coding system that categorised learning strategies, metacognitive strategies and learning materials.Results and Conclusions: Our results show that learners who received personalised feedback intend to focus on different as-pects of their learning in comparison to the learners who received minimal feedback and that the content of the LAD influenceshow students formulate their self-reflection texts. Furthermore, the extent to which students incorporated suggested behaviouralchanges into their reflections was predicted by state measures like perceived helpfulness of the feedback. Our findings outlineareas where support is needed to improve learners' sense-making of feedback on LADs and self-reflection
A systematic mapping review at the intersection of artificial intelligence and self-regulated learning
No full textRecently, artificial intelligence (AI) has increasingly been integrated into self-regulated learning (SRL), presenting novel pathways to support SRL. While AI-SRL research has experienced rapid growth, there remains a significant gap in understanding the intersection between AI and SRL, resulting in oversight when identifying critical areas necessitating additional research or practical attention. Building upon a well-established framework, from Chatti and colleagues, this systematic mapping review identified 84 studies through the Web of Science, Scopus, IEEE Xplore, ACM Digital, EBSCOHost, Google Scholar, and Open Alex, to explore the intersection of AI and SRL within the four key aspects—Who (stakeholders), What (theory), How (methods), and Why (objectives). The main results revealed that AI-SRL research predominantly focuses on higher education students, with minimal attention to primary education and educators. AI is primarily implemented as an intervention—through adaptive systems and personalization, prediction and profiling, intelligent tutoring systems, and assessment and evaluation—to support students' SRL and learning processes. The direct impact of AI on SRL was primarily focused on the metacognitive and cognitive aspects of SRL, while the motivational aspect of SRL remains underexplored. While over one-third of the AI-SRL studies did not specify an SRL theory, Zimmerman’s model of SRL was the most frequently applied among those that did. The use of AI in supporting SRL has extended beyond just focusing on and supporting SRL itself; it has also aimed to enhance various educational and learning activities as end outcomes such as improving academic performance, motivation and emotions, engagement, and collaborative learning. The results of this study extend our understanding of the effective application of AI in supporting SRL and optimizing educational outcomes. Suggestions for further research and practice are provided
An Organizational-Level Intervention to Enhance Sustainable Employability of Long-Term Care Workers:A Process Evaluation of the Healthy Working Approach
No full textOBJECTIVES: The aims of the study were to evaluate whether the Healthy Working Approach was implemented as planned and to gain insight into perceived positive outcomes and barriers and facilitators to the implementation.METHODS: We conducted a mixed methods process evaluation on a team-based approach for sustainable employability of long-term care workers. We examined context, recruitment, reach, dose delivered, dose received, fidelity, satisfaction, perceived positive outcomes, and barriers and facilitators.RESULTS: Reach was 11% whereas dose delivered, dose received, fidelity, and satisfaction were above 60%. Perceived positive outcomes included improved team coherence, faster problem solving, and professional development. Barriers and facilitators included collaboration in working groups, motivation, and scheduling meetings.CONCLUSIONS: For the teams reached, the approach was implemented according to protocol and perceived as positive. Future implementation should focus on increasing reach and dose delivered from working groups to teams.</p
The association of fatigue and cognitive complaints with work-related outcomes and cancer-related anxiety among employees 2–10 years after cancer diagnosis
Get PDFThis study investigated the association of fatigue and cognitive complaints among employees post-cancer diagnosis, with work-related outcomes, and moderation by cancer-related anxiety. A survey was carried out among workers 2–10 years after cancer diagnosis. Employees without cancer recurrence or metastases were selected (N = 566). Self-reported fatigue and cognitive complaints were classified into three groups. ANOVA’s and regression analyses were used, controlling for age. Group 1 (cognitive complaints, n = 25, 4.4%), group 2 (fatigue, n = 205, 36.2%), and group 3 (cognitive complaints and fatigue, n = 211, 37.3%) were associated with higher burnout complaints and lower work engagement, and group 2 and 3 with lower work ability. Cancer-related anxiety positively moderated the association of group 3 with higher burnout complaints. Employees with both fatigue and cognitive complaints report less favorable work functioning. Cancer-related anxiety needs attention in the context of burnout complaints.</p
The daily reciprocal associations between electroencephalography measured sleep and affect
No full textA spatially explicit assessment of factors shaping attitudes toward African elephant conservation
No full textConservation plans that explicitly account for the social landscape where people and wildlife co-occur can yield more effective and equitable conservation practices and outcomes. Yet, social data remain underutilized, often because social data are treated as aspatial or are analyzed with approaches that do not quantify uncertainty or address bias in self-reported data. We conducted a survey (questionnaires) of 177 households in a multiuse landscape in the Kenya–Tanzania borderlands. In a mixed-methods approach, we used Bayesian hierarchical models to quantify and map local attitudes toward African elephant (Loxodonta africana) conservation while accounting for response bias and then combined inference from attitude models with thematic analysis of open-ended responses and cointerpretation of results with local communities to gain deeper understanding of what explains attitudes of people living with wildlife. Model estimates showed that believing elephants have sociocultural value increased the probability of respondents holding positive attitudes toward elephant conservation in general (mean increase = 0.31 [95% credible interval, CrI, 0.02–0.67]), but experiencing negative impacts from any wildlife species lowered the probability of respondents holding a positive attitude toward local elephant conservation (mean decrease = −0.20 [95% CrI −0.42 to 0.03]). Qualitative data revealed that safety and well-being concerns related to the perceived threats that elephants pose to human lives and livelihoods, and limited incentives to support conservation on community and private lands lowered positive local attitude probabilities and contributed to negative perceptions of human–elephant coexistence. Our spatially explicit modeling approach revealed fine-scale variation in drivers of conservation attitudes that can inform targeted conservation planning. Our results suggest that approaches focused on sustaining existing sociocultural values and relationships with wildlife, investing in well-being, and implementing species-agnostic approaches to wildlife impact mitigation could improve conservation outcomes in shared landscapes.</p
A new diagnostic model to understand the root causes of failing waste collection in developing countries, with example applications in Latin America
No full textDeveloping countries around the world are challenged to provide their citizens with access to waste collection. But performances are poor and services are mostly limited to the urban areas. So far, little is known about the root causes of this deficient achievement. This Short Communication summarises the results of a research programme that used system dynamics to analyse the problem in a retrospective and prospective manner. The programme has resulted in a scientifically grounded and tested diagnostic model that enables both scientists and practitioners to dig below the symptoms of the problem, to improve understanding of what is actually going on, to make predictions under different scenario's and to test interventions. The model resulting from this research clearly shows how two clusters of societal processes compete. One cluster holds the processes on economy, quality of government, national revenues and available budgets. The other cluster comprises the processes that use these budgets. For the Latin American countries, lack of money is not the key cause. The problem must be sought in the close interaction between quality of government and the efficiency of collection services. Specific interventions are suggested for the case of Bolivia.</p
Suppress to get along:a lifespan account of social motives for suppression at work
No full textExpressive suppression, an emotion regulation strategy that entails hiding one's feelings, is commonly used to deal with interpersonal stressors at work, despite its negative relationship with affective well-being. To understand the context around suppression at work, we adopted a motivated, situational emotion regulation perspective to investigate the motives and context of suppression use at work. In a daily diary study, we investigated the effects of experienced incivility, in concert with daily communion and status motives, in predicting suppression at work. Drawing on lifespan theories, we also addressed between-person differences in communion and status motives by investigating how age relates to these motives via two theoretically established developmental goal orientations - growth and maintenance. Data were analyzed from 291 participants who participated in a daily diary study with three daily measurements for 15 working days (3,159 daily records). At the within-person level, incivility and communion motives both predicted use of suppression. Status motives did not relate to suppression, nor did either motive interact with experienced incivility to predict suppression. At the between-person level, age was indirectly negatively related to status and communion motives via lower growth orientation. Our findings offer insights into how daily motives influence emotion regulation strategy use, as well as how age and developmental goal orientations relate to these motives at the inter-person level.</p
Registered Report Stage I:Neurological and physiological effects of animal-assisted treatments for patients in a minimally conscious state: a randomized, controlled cross-over study
No full textA daily diary study on leader consideration, positive affect and work engagement:the moderating role of person-supervisor fit
No full textPurposeThis study aims to investigate a moderated mediation model in which leader consideration indirectly enhances employee work engagement by triggering positive affect, with person-supervisor fit acting as a boundary condition.Design/methodology/approachUsing a daily diary method, data were collected from 129 workers in the Netherlands. Participants completed an initial questionnaire assessing person-supervisor fit, followed by daily questionnaires over ten consecutive working days, yielding 936 daily observations. Hypotheses were tested using multilevel analyses in SPSS.FindingsResults indicate that positive affect fully mediates the relationship between leader consideration and work engagement at both the within- and between-person levels. Moreover, person-supervisor fit moderates this relationship at the between-person level, strengthening the positive effect.Originality/valueThis study contributes to the scarce insights into daily leadership dynamics. Furthermore, it uniquely advances the understanding of leadership effectiveness by being among the first to examine person-supervisor fit as a boundary condition for the affective impact of leader consideration