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The purpose of this paper is to explore how vulnerable refugee children's education can be supported in the first asylum country during a long-term, complex crisis. More specifically, the authors examine the impact of a remedial education (RE) program on academically challenged Syrian refugees' sustained learning and well-being in Jordan during a protracted emergency.

Using the 2012 United Nations human security framework, the authors analyze the quantitative results of program evaluation, supplemented by qualitative surveys and stakeholder interviews that asked about the aspirations of refugee children and their guardians, their school experience and the refugee–host community relationship.

The authors' data suggest that the program enhanced targeted Syrians' protection and empowerment. Their increased sense of safety and improved academic performance and learning motivation were likely owing to child-friendly classroom management and pedagogies that facilitated interactive and differentiated learning. Their human security was further strengthened when they learned with Jordanian children who experienced similar academic challenges and with teachers sympathetic to their plight. Meanwhile, a human security framework calls for humanitarian agencies' strategic engagement with local partners to ensure refugees' learning continuity.

Refugee education studies in first asylum countries are rare. Even rarer are studies focusing on academically low-achieving refugees with full consideration of the protracted and complex nature of a crisis. This study suggests effective measures to increase their human security while calling for humanitarian aid organizations to use long-term thinking.

This paper aims to center the experiences of three cohorts (n = 40) of Black high school students who participated in a critical race technology course that exposed anti-blackness as the organizing logic and default setting of digital and artificially intelligent technology. This paper centers the voices, experiences and technological innovations of the students, and in doing so, introduces a new type of digital literacy: critical race algorithmic literacy.

Data for this study include student interviews (called “talk backs”), journal reflections and final technology presentations.

Broadly, the data suggests that critical race algorithmic literacies prepare Black students to critically read the algorithmic word (e.g. data, code, machine learning models, etc.) so that they can not only resist and survive, but also rebuild and reimagine the algorithmic world.

While critical race media literacy draws upon critical race theory in education – a theorization of race, and a critique of white supremacy and multiculturalism in schools – critical race algorithmic literacy is rooted in critical race technology theory, which is a theorization of blackness as a technology and a critique of algorithmic anti-blackness as the organizing logic of schools and AI systems.

This study analyzes the significance of various attributes of developmental psychology developed by male and female students within higher education institutions (HEIs) in Cambodia. It also focuses on the mismatch between planned enrollments and the final selection of a course, and the knowledge and skills accessed during the study.

A sample of 463 students (267 female) was selected for a survey from two private and two public universities, located in both Phnom Penh and other provincial locations.

It was found that (1) the Cambodian Sustainable Development Goal targets related to quality education are likely to be achieved by 2030, but this will require close monitoring of the targets. While it is likely that the male ratio will be accomplished by 2030, this is less certain for the female ratio. (2) There was a mismatch between the planned enrollment and actual course selection for just under half (49.2%) of students surveyed due to high tuition fees, a lack of scholarships, unavailability of preferred courses, failure to gain admission and parental influence. This mismatch was higher for female students for all of these factors except for parental influence. (3) Students indicated a high degree of access to knowledge and skills, except for technological literacy, economic aspects and interpersonal effectiveness. Overall, male students were found to access a higher degree of both knowledge and skills. (4) The developmental psychology of students was found to be significantly influenced by decision-making ability, empathy, people skills, community engagement and voluntary work.

There were a number of limitations in carrying out this research. For example, discussions were separately organized at each university; the authors did not organize a consultative meeting gathering all the students from the four universities to discuss and get consensus. Moreover, the study did not cover the interviews of parents to gain their views regarding support for their children at HEIs.

Improvement in key aspects of developmental psychology for male students was found to be more significant than for female students, except for intellectual capacity.

Still, improvement in the adopt of developmental psychology is required at HEIs in Cambodia and developing countries. Improved developmental psychology among students at universities has been shown to result in a significant enhancement in study performance and competencies. These competencies range from cognitive and intellectual capacity, associated with thinking and analysis; and emotional and social capacity, associated with the development of a societal vision. Students who develop cognitive and intellectual capacity tend to perform tasks more accurately and efficiently, make decisions more effectively and respond intelligently to new or complex circumstances. Students who develop emotional and social capacity are better guided toward focusing on caring for others in the community and establishing peaceful and safe environments. An important implication of the developmental psychology of students within HEIs in Cambodia is the holistic nature of education integrating knowledge, skills, competencies and social responsibility. HEIs should take on the role of equipping students with both cognitive and intellectual capacities for employment; as well as the emotional and social capacities required to build a society based on mutual trust and harmony. Improving the psychological development of students at HEIs in Cambodia may also be significant in achieving the CSDG targets. In terms of policy, HEIs should integrate opportunities for this to be included in the curriculum to increase the opportunities for students to engage in practice-based learning and community engagement activities. This will require providing sufficient learning materials and equipment to enable students to self-learn, think, analyze and innovate, using theories obtained in class, at home. This should be coupled with community engagement programs that provide students with the opportunity to work in the field. All knowledge and skills accessed by students should be integrated with the development of both cognitive and intellectual capacities. Further, social activities organized by HEIs are required to assist in developing the emotional and social capacity of students to interact with communities.

The paper is solely conducted and prepared by SOK Serey, CHEB Hoeurn, CHHINH Nyda, BO Chan Koulika and NGUONPHAN Pheakdey. The findings of the research produce both quantitative and qualitative information on the implementation of Sustainable Development Goals at higher education in Cambodia. In particular, this research is one of the most pioneer academic research studies conducted by a local scholar from Cambodia.

Research shows that having student loan debt in retirement is associated negatively with life satisfaction, suggesting that student debt is a bane of retiree well-being. The rationale for this study is to determine the factors related to owing student debt in retirement, given the adverse effects on the well-being of retired households.

The study utilizes pooled cross-sectional data from the 2015 and 2018 U.S. National Financial Capability Study. The empirical analysis uses a sample of retired Americans aged 65 years and older (N = approximately 8,000) and estimates two-block logistic regression models to examine the effects of demographic, socioeconomic and behavioral factors on student loan indebtedness in retirement. A sensitivity analysis is performed for the subsample of retirees holding student debt for their children's education. Statistical interpretations use odds ratios.

The findings indicate that financial literacy, age, homeownership and high subjective financial knowledge are associated with a low likelihood of holding student loan debt in retirement. However, being Black, having postsecondary education, having difficulty covering expenses, having financially dependent children, having high-risk preferences and spending more than income increase the likelihood of holding student debt in retirement. The ensuing discussion will assist financial planners and educators identify practical ways to shape decisions regarding student loan debt in retirement.

The amount of student loan debt is unavailable in the dataset for analysis. One cannot infer causal relations from the study. The factors examined do not reflect the time the student loan was obtained.

The study focuses on the determinants of student loan indebtedness among retired Americans rather than young adults or older adults on the verge of retirement. The paper enhances the understanding of student loan holdings in the decumulation phase of the life cycle. Many US individuals have low retirement savings from which they draw a retirement income. The more the student debt burdens on retired Americans, the greater the likelihood of outliving their resources and experiencing poverty.

In this paper, the authors suggest that Central Americans can use entrepreneurship to solve economic uncertainty in their home country and that entrepreneurship can contribute to reducing the number of undocumented migrants to the USA.

The authors first illustrate the context of Central American illegal migration to the USA from a transitional entrepreneurship perspective, the authors address the economic drivers of illegal migration from Central America, which results in marginalization in the USA. Second, the authors build a theoretical model that suggests that Central Americans can improve their entrepreneurial abilities through the entrepreneurial cognitive adjustment mechanism.

Central Americans at risk of illegally migrating to the USA have high entrepreneurial aptitudes. Entrepreneurship can help them avoid the economic uncertainty that drives Central Americans to illegally migrate to the USA and become part of a marginalized community of undocumented immigrants. This conceptual paper introduces an entrepreneurial cognitive adjustment mechanism as a tool for Central Americans to reshape their personalities and increase their entrepreneurial abilities in their home countries. In particular, entrepreneurial intentions reshape the personality characteristics of individuals (in terms of high agreeableness and openness to experiences, as well as low neuroticism) through the entrepreneurial cognitive adjustment mechanism, which consists of reflective action in sensemaking, cognitive frameworks in pattern recognition and coping in positive affect.

This paper studies Central Americans at risk of illegal migration using the lens of transitional entrepreneurship, which advances the understanding of the antecedents to marginalized immigrant communities in the USA and suggests a possible solution for this phenomenon. Besides, the authors build a cognitive mechanism to facilitate the transitional process starting from entrepreneurial intention to reshaping individuals' personality, which further opens individuals' minds to entrepreneurial opportunities. Since entrepreneurial intention applies the same way to all entrepreneurs, the authors' aim of constructing the entrepreneurial intention unfolding process will go beyond transitional entrepreneurship and contribute to intention-action knowledge generation (Donaldson et al., 2021). Moreover, the conceptual study contributes to public policy such that international and local agencies can better utilize resources and implement long-term solutions to the drivers of illegal migration from Central America to the USA.

The paper aims to investigate the approach and tools adopted by an Italian city, included amongst the UNESCO World Heritage sites (WHS), to involve different stakeholders in the protection and valorisation of its historical centre to achieve the goals of sustainable development. The paper focusses on the role of local authorities as the key actors that should engage different city users to jointly achieve heritage conservation and socio-economic development.

Data were collected, thanks to the researchers' direct participation in a project launched by the municipality of Urbino, which involved several local stakeholders and lasted about a year. Participant observation allowed the authors to collect informal interviews, join collective discussions and reflect on the direct observation of the activities undertaken.

The case study analysed suggests how participatory governance may be effective in fostering responsible principles in “asset usage” by any type of city users and how citizens actively co-design and co-implement initiatives of heritage revitalisation when engaged in cultural heritage (CH) policies.

The paper addresses a long-standing problem that has never been solved: how to enhance the consciousness of the CH amongst stakeholders and reconcile their different and conflicting needs in the historical urban environment in the process of revitalisation.

Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation process to ensure remedial actions. This study aims to conduct an experimental research to detect anomalies in the evaluation methods.

Experimental research is conducted with scientific approach and design. The researchers categorized anomaly into three categories, namely, an anomaly in criteria assessment, subject anomaly and anomaly in subject marks allocation. The different anomaly detection algorithms are used to educate data through the software R, and the results are summarized in the tables.

The data points occurring in all algorithms are finally detected as an anomaly. The anomaly identifies the data points that deviate from the data set’s normal behavior. The subject which is consistently identified as anomalous by the different techniques is marked as an anomaly in evaluation. After identification, one can drill down to more details into the title of anomalies in the evaluation criteria.

This paper proposes an analytical model for the course evaluation process and demonstrates the use of actionable analytics to detect anomalies in the evaluation process.

Self-regulated learning (SRL) is crucial for successful learning and lifelong learning in today’s rapidly changing world, yet research has shown that many learners need support for SRL. Recently, learning analytics has offered exciting opportunities for better understanding and supporting SRL. However, substantial endeavors are still needed not only to detect learners’ SRL processes but also to incorporate human values, individual needs and goals into the design and development of self-regulated learning analytics (SRLA). This paper aims to examine the challenges that lifelong learners faced in SRL, their needs and desirable features for SRLA.

This study triangulated data collected from three groups of educational stakeholders: focus group discussions with lifelong learners (n = 27); five teacher interviews and four expert evaluations. The groups of two or three learners discussed perceived challenges, support needs and willing-to-share data contextualized in each phase of SRL.

Lifelong learners in professional development programs face challenges in managing their learning time and motivation, and support for time management and motivation can improve their SRL. This paper proposed and evaluated a set of design principles for SRLA.

This paper presents a novel approach for theory-driven participatory design with multistakeholders that involves integrating learners, teachers and experts’ perspectives for designing SRLA. The results of the study will answer the questions of how learners’ voices can be integrated into the design process of SRLA and offer a set the design principles for the future development of SRLA.

The purpose of this study is to investigate manufacturing industry leaders’ perspectives on the prevailing skills gap in the current Illinois workforce. The insights gained hold significant importance for the emerging generation of workers, helping them discern the essential proficiencies and plan their educational and career paths in response.

Guided by Becker’s (1962) human capital theory (HCT) framework, a qualitative study was conducted to identify the skills gap and explore the perspectives of manufacturing industry leaders. Fourteen industry leaders participated in this study, representing various occupational industries.

The findings underscore the prominence of the skills gap as perceived by manufacturing industry leaders, with notable aspects including limited durable skills and difficulty transitioning from content-based knowledge to practical skills.

The findings of this study can offer insights to researchers, scholars and practitioners in the field of human resource development, as well as to leaders in the manufacturing industry who aim to address the skills gap. Furthermore, this research can inform policy decisions and assist higher education institutions in preparing students for careers in the industry.

In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches – media literacy, the German “(politische) Bildung” and Freirean “critical pedagogy” – and empirical analyses of online educational resources about datafication.

The study interconnects theoretical analyses with an empirical mixed methods investigation that includes expert interviews with creators of online educational resources about datafication and a qualitative survey with educators interested in teaching about data technologies.

The research identified novel findings on the goals of resource creators and educators, such as a focus on empowering and emancipatory approaches, fostering systemic understanding of datafication and encouraging collective action. Such perspectives are rare in existing critical data literacy conceptualisations but show resemblance to traditional education scholarship. This highlights how much can be learnt from practitioners and from these more established educational approaches. Based on these findings, a framework for critical datafication literacy is suggested that aims for systemic understanding of datafication, encouraging critical thinking and enabling learners to make enlightened choices and take different forms of action.

The study is unique in its interconnection of theoretical and empirical research, and it advances previous research by suggesting a grounded framework for critical datafication literacy.