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In today’s highly competitive world, the purpose of this research is to emphasize the increasing significance of management education and advocate for the adoption of innovative teaching approaches, specifically focusing on artificial intelligence (AI)-driven personalized learning (PL). This study aims to explore the integration of self-determination theory (SDT) principles into management education, with a primary focus on enhancing student motivation, engagement and academic performance (AP).

This interdisciplinary research adopts a multifaceted approach, combining perspectives from AI, education and psychology. The design and methodology involve a thorough exploration of the theoretical foundations of both AI-driven education and SDT. The research demonstrates how these two elements can synergize to create a holistic educational experience. To substantiate the theoretical claims, empirical data-driven analyses are employed, showcasing the effectiveness of AI-enabled personalized learning (AIPL). The study integrates principles from SDT, such as autonomy, competence and relatedness, to create an environment where students are intrinsically motivated, receiving tailored instruction for optimal outcomes.

The study, rooted in SDT, demonstrates AIPL’s transformative impact on management education. It positively influences students’ autonomy, competence and relatedness, fostering engagement. Autonomy is a key driver, strongly linked to improved AP. The path analysis model validates these relationships, highlighting AI’s pivotal role in reshaping educational experiences and intrinsically motivating students.

This study holds substantial significance for educators, policymakers and researchers. The findings indicate that the AIPL model is effective in increasing student interest and improving AP. Furthermore, this study offers practical guidance for implementing AI in management education to empower students, enhance engagement and align with SDT principles.

Contribute original insights through an interdisciplinary lens. Synthesize AI and SDT principles, providing a roadmap for a more effective educational experience. Empirical data-driven analyses enhance credibility, offering valuable contributions for educators and policymakers in the technology-influenced education landscape.

This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection regulations. The purpose of this study is to investigate the use of two different versions (without dashboard vs with dashboard) of the CCT system during the course of a semester; to examine changes in the intended use and perceived usefulness of two different versions (without dashboard vs with dashboard) of the CCT system; and to compare the self-reported confidence levels of two different versions (without dashboard vs with dashboard) of the CCT system.

A total of N = 194 students from a higher education institution in the area of economic and business education participated in the study. The participants were provided access to the CCT system as an opportunity to self-assess their domain knowledge in five areas throughout the semester. An algorithm was implemented to classify learners into master and nonmaster. A total of nine metrics were implemented for classifying the performance of learners. Instruments for collecting co-variates included the study interest questionnaire (Cronbach’s a = 0. 90), the achievement motivation inventory (Cronbach’s a = 0. 94), measures focusing on perceived usefulness and demographic data.

The findings indicate that the students used the CCT system intensively throughout the semester. Students in a cohort with a dashboard available interacted more with the CCT system than students in a cohort without a dashboard. Further, findings showed that students with a dashboard available reported significantly higher confidence levels in the CCT system than participants without a dashboard.

The design of digitally supported learning environments requires valid formative (self-)assessment data to better support the current needs of the learner. While the findings of the current study are limited concerning one study cohort and a limited number of self-assessment areas, the CCT system is being further developed for seamless integration of self-assessment and related feedback to further reveal unforeseen opportunities for future student cohorts.

The purpose of this paper is to lay out the data competence maturity model (DCMM) and discuss how the application of the model can serve as a foundation for a measured and deliberate use of data in secondary education.

Although the model is new, its implications, and its application are derived from key findings and best practices from the software development, data analytics and secondary education performance literature. These principles can guide educators to better manage student and operational outcomes. This work builds and applies the DCMM model to secondary education.

The conceptual model reveals significant opportunities to improve data-driven decision making in schools and local education agencies (LEAs). Moving past the first and second stages of the data competency maturity model should allow educators to better incorporate data into the regular decision-making process.

Moving up the DCMM to better integrate data into their decision-making process has the potential to produce profound improvements for schools and LEAs. Data science is about making better decisions. Understanding the path laid out in the DCMM to helping an organization move to a more mature data-driven decision-making process will help improve both student and operational outcomes.

This paper brings a new concept, the DCMM, to the educational literature and discusses how these principles can be applied to improve decision making by integrating them into their decision-making process and trying to help the organization mature within this framework.

The purpose of this study is to identify the learner characteristics attributable to the likelihood and the duration of programme completion in the Bachelor of Science (BSc) and Bachelor of Technology Honours in Engineering (BTech) degree programmes of the Open University of Sri Lanka (OUSL).

Data were gathered from the re-registrants for the degree programmes in the academic year 2020/2021, using a questionnaire developed as a Google form. The sample consisted of 301 and 516 re-registrants from the BTech and BSc programmes respectively. Influential factors were identified using Kruskal Wallis test (for duration of completion), binary logistic regression (for likelihood of completion) and Chi-squared test (associations between presage and process factors).

Entry qualification, age and time management skills at entry had significant effects on duration of completion. Attendance at academic activities, organizing time for self-studies and the competency in English at enrolment had significant effects on the likelihood of completion. Prior open and distance learning (ODL) experience had no significant effect on any of the product factors considered.

Inaccessibility of dropouts and using only the responses from the first administration of the questionnaire are limitations. Active learners are more likely to respond, in the first administration and may bias the results.

Findings are useful for designing future studies to identify at-risk students and thereby enhance the programme completion and reduce prolonged time for completion.

Effective strategies to control the identified factors will uplift programme completion and reduce drop-out rates.

Decision making using inferential techniques makes the study distinct among studies undertaken on the same population. The study enriches the limited current research on factors affecting programme completion in ODL mode.

The paper aims to explore how values and knowledge are expressed in student’s discussions about food and health.

Food practices present a complex phenomenon extending beyond biomedical descriptions, including social dynamics of food in families and communities. Contextual conditions of social groups and settings have significant impacts on food choices and practices. Although values constitute a central part of educational goals, deliberate values education remains an often-neglected area, with a tendency in both curricula and educational practice to focus on knowledge and overlook how values intersect with knowledge. The paper utilises group interviews supported by participant observations to study the food and health practices as expressed in students' discussions.

The paper’s findings show how values are expressed together with knowledge as value-knowledges around food and health within the social contexts of family, cultural identities and peer relationships. While moving through their lives, students draw on and utilise biomedical, social-cultural and sensory value-knowledges, simultaneously considering the nutrition and taste of foods, the value of connecting with family and peers in cultural settings as well as getting enough food to feel satiated.

The paper presents an original approach around the necessity to consider and integrate cultural identities in discussions and education about food and health to empower students and their communities in a way that is socially just and equitable. This involves shifting discussions of health education away from students as (ir)rational obstacles but rather as partners in co-creating knowledge for sustainable food and health equity.

Metacognition is linked to academic achievement and personal development, especially as it relates to leadership education. The current study investigated the impact of a course in metacognition. Two hundred and fifty one undergraduates were surveyed for metacognitive ability using the Metacognitive Awareness Inventory (MAI) and Metacognitive Rubric (MR) before and after participating in a course either involving metacognitive training or alternative coursework. While minimal demographic differences were found, results showed significant improvement among students who trained in the metacognition class. Curricular development in the area of metacognition is recommended as it relates to leadership education.

Similar to religion, spirituality is considered a private affair along with issues of faith, hope, and love (Palmer, 1998). American public education has been reluctant to address such issues due to our cultural norm of “separation of church and state” (Love and Talbot, 2000, p. 1) yet the American Council for Education calls upon higher education to provide students ways to explore their personal values, world beliefs, and spirituality (Chickering et al., 2006; Dalton and Crosby, 2006). As such, the purpose of this paper is to explore student leaders’ perspectives on how leadership development activities influenced their sense of spirituality.

A qualitative case study design was used to explore responses from ten student leaders who completed a leadership development program in the Spring 2015 at a public four-year institution. As part of the leadership development program, students were paired a peer mentor while they completed leadership workshops, a reflection paper, self-assessment, and an ongoing community service project painting murals with individuals who have intellectual disabilities. Participants were from various majors and religious backgrounds and had completed the leadership development program two months prior to their participation in this study.

Findings revealed that leadership workshops, self-assessment, reflections, peer-to-peer mentorship, and an ongoing shared community service project, influenced students’ perspectives of spirituality and their leadership identity. Student leaders both did and did not differentiate the developmental process of leadership from the spiritual development process, defining both as cognitive and emotional development deeply grounded in self-awareness. Study participants shared that through self-reflection, developing their inter and intra personal skills through conducting service, shaped their understanding of their spiritual identity and developed their sense of self.

Study results are not generalizable but provide insight into the experiences and perceptions of student leaders on two hard-to-define topics: spirituality and leadership. The order of the interview questions may have influenced the thought process leading up to student’s responses connecting spirituality and leadership concepts. Another limitation is that the leadership activities were designed and coordinated by the lead investigator. Hence, there may be findings that were influenced by the investigators’ personal beliefs about leadership. Study participants may have also felt more comfortable discussing their beliefs about spirituality because of their familiarity with the lead investigator.

Results support the notion that non-faith based public institutions may intentionally support the spiritual development of students through the context of leadership development program activities. Approaching spiritual and leadership development through Baxter Magolda’s (2009) theory of self-authorship allows students to experience new activities coupled with personal self-reflection, to deepen their self-understanding, compassion for others, and self-awareness. This learning is an ongoing process that expands as students engage in contemplative practices such as mindfulness training provided through leadership workshops, self-reflection, and peer-to-peer interactions and self-assessment.

This case study illustrates that intentionally designed and implemented leadership development programs may cultivate both the spiritual and leadership identities and behaviors of students. Also, this study reveals that spirituality and leadership are not mutually exclusive processes because both are deeply rooted in connecting to our community, connecting to our greater purpose and our higher consciousness about who we are and how we treat others. Hence, this work may support educators develop more compassionate and empathetic students who are agents of positive social change.

This qualitative case study suggests a new framework for public institutions to support students’ leadership and spiritual development through the theoretical framework of self-authorship. As such, educators can stop being fearful about discussing religion, spirituality, and matters of the heart if they use this framework to design leadership developmental activities.

This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings.

A systematic review of emerging AI technologies such as virtual reality, chatbots, sentiment analysis tools, gamification and wearable devices is conducted to assess their applicability in enhancing SEL.

AI technologies present opportunities for personalized support, increased engagement, empathy development and promotion of well-being within SEL frameworks.

Future research should focus on addressing ethical concerns, fostering interdisciplinary collaborations, conducting longitudinal studies, promoting cultural sensitivity and developing robust ecosystems for AI in SEL.

This study contributes by outlining pathways for leveraging AI to create inclusive and supportive learning environments that nurture students' socio-emotional competencies, preparing them for success in a globally connected world.