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We examined skill building techniques and changes over the course of a semester with pre and post-test data collection after implementing experiential learning assignments.

The Schutte Self-Report Emotional Intelligence Test (SEEIT) was used to measure emotional intelligence among students who interned for a 16-week period.

We found a significant difference using a paired samples t-test in SSEIT scores between the pre (M = 126.6, SD = 4.3) and the post-internship (M = 133.8, SD = 5.7) scores. t(5) = -5.61, p = 0.002. Students had an overall increase in mean scores over the course of one semester.

This was a pilot study that we completed to determine applicability of internship and increasing emotional intelligence. Overall, we saw an increase in EI in pre and post-test comparisons. This was a pilot study, so more research is needed on this topic.

Students were placed in situations during the internship process to help facilitate real world problems and were required to apply applicable textbook knowledge, develop theory-based activities and report their findings. Students worked with various age groups and learned how to work with a variety of populations including faculty, teachers, children and parents on a regular basis and this process contributed to their experience and potentially increased emotional intelligence over a 16-week period.

This research addresses the importance of emotional intelligence (EI) in career readiness and its role in potentially mitigating burnout in psychological professions.

This is important to those in the field of psychology and child development and family studies because it addresses concerns with the shortage of skilled and prepared workers.

This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.

Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.

Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.

Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.

Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.

Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.

Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.

This paper explores a five-year case example of two educators engaged in practice-based professional development (PBPD) for the Self-Regulated Strategy Development (SRSD) model in a middle school. It examines the transformative effects and challenges of improving writing instruction, the activities involved and alternative PBPD delivery methods. Highlighting a collaborative effort between an institute of higher education (IHE), a middle school and ThinkSRSD, a PBPD for SRSD developer, the example underscores the long-term benefits and innovative insights into engaging with PBPD for SRSD over multiple years.

The case involves analyzing survey data collected over five years. These surveys, which included specific SRSD-related queries and open-ended questions, were instrumental in assessing the evolution of the educators’ perceptions regarding SRSD and their engagement with PBPD. Additionally, the paper details PBPD activities as documented in a research journal, providing a comprehensive account of the developmental process.

Through a cross-institutional partnership, two middle school general educators participated in PBPD for SRSD for 30 h across five years. Their engagement with PBPD progressed from initial introduction and implementation to facilitating PBPD for SRSD among peers and at the national level. Over time, the most consistently enacted SRSD action was “memorize it,” while actions such as “discuss it,” “support it” and “independent performance” showed greater variability. Both educators consistently praised SRSD and sought continued PBPD engagement over the five years.

Our case example is the first five-year analysis of PBPD for SRSD among general middle school educators, highlighting the benefits and challenges of adopting evidence-based writing instruction. Our example emphasizes the need for continuous and focused professional development in areas crucial for student success, including self-regulation, prewriting strategies and techniques for fostering independent performance. Moreover, the two middle school educators’ critical feedback is invaluable for refining PBPD for SRSD. This work also enriches professional development schools (PDS) literature by offering effective strategies to support middle school teachers in developing a vibrant writing community, a cornerstone for student advancement in writing.

This study aimed to assess the influence of the community-based campaign on weight loss and healthy lifestyle adoption among Bahrain's adult population.

A cross -sectional self-reported online questionnaire completed in February 2021. The survey evaluated the impact of the community-based campaign health program which includes (exercise, diet plan and psychological eating behavior) weight reduction using social media platforms. The authors employed data from young and middle-aged healthy adults (n = 842) between the ages of 18-55 years, of both sexes. The intervention group (n = 842) was made up of the supporters of the voluntary community initiative called Obesity does not Suit Me (n = 194), and the control group (n = 648) was made up of non-followers of the campaign.

The study showed a statistically significant difference among the followers of the community-based campaign health program in the following parameters: 3.90-4.23 kg less, 1.46-1.59 difference in BMI and 0.05-0.06 WHR. All changes were of low effect size.

Diet and exercise had significant impact on weight, BMI and WHR among the followers of the community campaign. However, more research is required for sponsorship to increase the motivation and rewards for the community campaign.

We grounded this study in the Too-Much-of-a-Good-Thing (TMGT) meta-theoretical framework to disentangle the costs and benefits associated with workplace friendship in a military setting.

We collected data cross-sectionally through self-reports from 287 employees from the Romanian Air Force.

The number of friends had an inverted U-shaped association with perceived social support. Our results show that as the number of friends increases from 9 to 10, so does the social support. However, as the number of friends further increases above 10, social support tends to decrease rather than increase. Furthermore, we found that social support and all dimensions of mental well-being (emotional, social and psychological well-being) were positively associated. Moreover, social support mediated the relationship between the number of friends and the three dimensions of mental well-being.

Our findings can help human resources policies in military organizations foster an organizational climate that cultivates friendship ties between employees, which is crucial for their social support and overall mental well-being.

This work provides additional information about the specific mechanisms through which the effects of workplace friendships on mental well-being occur.

Research on employee non-/compliance to information security policies suffers from inconsistent results and there is an ongoing discussion about the dominating survey research methodology and its potential effect on these results. This study aims to add to this discussion by investigating discrepancies between what the authors claim to measure (theoretical properties of variables) and what they actually measure (respondents’ interpretations of the operationalized variables). This study asks: How well do respondents’ interpretations of variables correspond to their theoretical definitions? What are the characteristics of any discrepancies between variable definitions and respondent interpretations?

This study is based on in-depth interviews with 17 respondents from the Swedish public sector to understand how they interpret questionnaire measurement items operationalizing the variables Perceived Severity from Protection Motivation Theory and Attitude from Theory of Planned Behavior.

The authors found that respondents’ interpretations in many cases differ substantially from the theoretical definitions. Overall, the authors found four principal ways in which respondents interpreted measurement items – referred to as property contextualization, extension, alteration and oscillation – each implying more or less (dis)alignment with the intended theoretical properties of the two variables examined.

The qualitative method used proved vital to better understand respondents’ interpretations which, in turn, is key for improving self-reporting measurement instruments. To the best of the authors’ knowledge, this study is a first step toward understanding how precise and uniform definitions of variables’ theoretical properties can be operationalized into effective measurement items.

We studied the relationship between job engagement and systematic problem solving (SPS) among shop-floor employees and how lean production (LP) and Internet of Things (IoT) systems moderate this relationship.

We collected data from a sample of 440 shop floor workers in 101 manufacturing work units across 33 plants. Because our data is nested, we employed a series of multilevel regression models to test the hypotheses. The application of IoT systems within work units was evaluated by our research team through direct observations from on-site visits.

Our findings indicate a positive association between job engagement and SPS. Additionally, we found that the adoption of lean bundles positively moderates this relationship, while, surprisingly, the adoption of IoT systems negatively moderates this relationship. Interestingly, we found that, when the adoption of IoT systems is complemented by a lean management system, workers tend to experience a higher effect on the SPS of their engagement.

One limitation of this research is the reliance on the self-reported data collected from both workers (job engagement, SPS and control variables) and supervisors (lean bundles). Furthermore, our study was conducted in a specific country, Italy, which might have limitations on the generalizability of the results since cross-cultural differences in job engagement and SPS have been documented.

Our findings highlight that employees’ strong engagement in SPS behaviors is shaped by the managerial and technological systems implemented on the shop floor. Specifically, we point out that implementing IoT systems without the appropriate managerial practices can pose challenges to fostering employee engagement and SPS.

This paper provides new insights on how lean and new technologies contribute to the development of learning-to-learn capabilities at the individual level by empirically analyzing the moderating effects of IoT systems and LP on the relationship between job engagement and SPS.

This research aimed to assess the leadership role of principals in the implementation of peace education in selected secondary schools in the Western Cape, South Africa.

This study employed qualitative research approach to assess the leadership role of principals in the implementation of peace education in selected secondary schools in the Western Cape, South Africa. Data were gathered from a small sample of six principals from six selected secondary schools which were engaged in the implementation of a peace education programme, and data were analysed using thematic content analyses.

Findings of the study suggest that principals possess a low level of understanding or awareness of their leadership role in the implementation of peace education. The study pointed out the constraints such as time constraints and learners' negative attitudes and social influences hinder the effective implementation of peace education in selected secondary schools.

First, the data were self-reported and therefore subject to social desirability bias; participants may have provided socially desirable responses rather than their true belief or experiences. Thus, participants may have overstated their role in and commitment to the peace education programme.

Studies that aim to explore alternative approaches to combat violence, such as peace education, are still limited in South Africa. Hence, this paper served to close that gap by contributing to the growing body of research on the leadership role of the principal in the implementation of peace education in the school and exploring barriers hampering its effective implementation.

This study aims to propose an innovative model that integrates variables and examines the influence of internet usage expertise, perceived risk and attitude toward information control on privacy concerns (PC) and, consequently, in consumers’ willingness to disclose personal information online. The authors also propose to test the mediation role of trust between PCs and willingness to disclose information. Trust is not a predictor of PC but a causal mechanism – considering that the focus is to understand consumers’ attitudes and behavior regarding the virtual environment (not context-specific) (Martin, 2018).

The authors developed a survey questionnaire based on the constructs that compose the proposed model to collect data from 864 respondents. The survey questionnaire included the following scales: internet usage expertise from Ohanian (1990); perceived risk, attitude toward information control, trust and willingness to disclose personal information online from Malhotra et al. (2004); and PC from Castañeda and Montoro (2007). All items were measured on a Likert seven-point scale (1 = totally disagree; 7 = totally agree). To obtain Westin’s attitudinal categories toward privacy, respondents answered Westin’s three-item privacy index. For data analysis, the authors applied covariance-based structural equation modeling.

First, the proposed model explains the drivers of consumers’ disposition to provide personal information at a level that surpasses specific contexts (Martin, 2018), bringing the analysis to consumers’ level and considering their general perceptions toward data privacy. Second, the findings provide inputs to propose a better definition of Westin’s attitudinal categories toward privacy, which used to be defined only by individuals’ information privacy perception. Consumers’ perceptions about their abilities in using the internet, the risks, their beliefs toward information control and trust also help to delimitate and distinguish the fundamentalists, the pragmatics and the unconcerned.

Some limitations weigh the theoretical and practical implications of this study. The sample size of pragmatic and unconcerned respondents was substantially smaller than that of fundamentalists. It might be explained by applying Westin’s self-report index to classify the groups according to their score regarding PCs. Most individuals affirm having a great concern for their data privacy but still provide online information for the benefit of personalization – known as the privacy paradox (Zeng et al., 2021). It leads to another limitation of this research, given the lack of measures that classify respondents by considering their actual behavior toward privacy.

PC emerges as an important predictor of consumer trust and willingness to disclose their data online, and trust also influences this disposition. Managers need to implement actions that effectively reduce consumers’ concerns about privacy and increase their trust in the company – e.g. adopting a clear and transparent policy on how the data collected is stored, treated, protected and used to benefit the consumer. Regarding the perception of risk, if managers convince consumers that the data collected on the internet is protected, they tend to be less concerned about privacy.

The results suggest different aspects influencing the willingness to disclose personal information online, including different responses considering consumers’ PCs. Through their policies and legislation, the authors understand that governments must be attentive to this aspect, establishing regulations that protect consumers’ data in the virtual environment. In addition to regulatory policies, education campaigns can be carried out for both consumers and managers to raise the discussion about privacy and the availability of information in the online environment, demonstrating the importance of protecting personal data to benefit the government, consumers and organizations.

Although there is increasing research on consumers’ privacy, studies have not considered their attitudinal classifications – high, moderate and low concern – as moderators of willingness to disclose information online. Researchers have also increased attention to the antecedents of PCs and disclosure of information but overlooked possible mechanisms that explain the relationship between them.

As part of a larger grant-funded project, a professional development (PD) series was conducted within the framework of a school–university partnership to improve teachers’ capacity to meaningfully include fathers and father figures in the school environment, with a particular focus on fathers of children with disabilities. The authors sought to understand the extent to which a school-wide PD framed through the lens of a father of a child with a disability might inform practice with sustainable implementation. Due to the pandemic, the original format of the PD was redesigned for virtual delivery.

A three-phase data collection and analysis approach included a pre-PD survey, a post-PD survey and a one-year follow-up survey. All surveys included both quantitative and qualitative self-report data components.

Results suggest school personnel found the virtual PD valuable, gleaning several useful strategies for reflecting on their own practices, working to improve communication with families of children with disabilities and more meaningfully including fathers and father figures in future school-related activities and programing.

First, the sample size of the present study was small, and participation was variable across PD sessions. In addition, participants self-selected into the series, and therefore, they may be more likely to value father-figure involvement with or without participation in the PD series. The small sample size may minimize the generalizability of these results across other replicable settings and participants. Second, the results of the pre-PD survey could be positively skewed since the university partner’s initial delivery of PD related to this topic began in 2018. In the pre-PD survey, the majority of respondents indicated, as an example, that they believed father involvement was correlated with higher academic achievement. It is not clear if respondents held these beliefs independently at the inception of the partnership or if they perhaps learned of these connections during an earlier PD offered by the authors.

The current study offers a small glimpse into the world of a school–university partnership and its ability to actualize meaningful reflection on family engagement practices. Results also indicate a greater awareness of significant male figures/fathers and their needs. Content delivered during each PD supports capacity building in terms of teachers’ ability to see fathers and father figures as meaningful contributors within the context of the school environment. Participants mentioned that the PD taught them ways to recognize and remediate some of the insidious communication barriers that exist.

Participants stated that they grew in their understanding of intentional connections with significant male figures, noting a concerted effort to ensure communication of information pertaining to school events, conferences and, in some cases, individualized educational programs (IEPs). Staff members also felt as though the pandemic fostered greater connections with fathers who were working at home and who were simultaneously helping their children access online learning platforms. However, it is noteworthy that the latter benefit was likely a positive side effect of mandatory home-based learning as opposed to a direct result of the present study. Socially, the authors all find ourselves embarking on a bit of social uncertainty, where perhaps it is no longer appropriate or significant to mention one's gender. Nonetheless, the research highlights the unique contributions that fathers and father figures can make to children's positive trajectory, and the authors espouse that the current study suggests that virtual PD sessions can help train school personnel to recognize and foster such relationships.

The past few decades have ushered in an awareness of significant male involvement and its importance in the development of young children. Despite this surge of interest, the research on father/significant male involvement in the school context remains limited. Additionally, the implementation of virtual PD and its potential positive impacts remain largely unexplored, especially when the intersection with father engagement practices is considered. As such, the authors espouse that the present study reflects a unique combination of content and pedagogy.