Search results

The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.

This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.

From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.

This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.

This study aims to provide new insights into the relationship between individual characteristics, particularly personality traits and mature students' intention to use (ITU) mobile learning (m-learning).

The research model was constructed by integrating the Big Five personality traits into the unified theory of acceptance and use of technology (UTAUT) model. The data were collected from mature students at a university research center in Macau. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data and test the proposed hypotheses.

The results reveal that personality traits play a significant role in determining mature students' ITU m-learning technology. In particular, social influence (SI) mediates the relationship between agreeableness (AGB) and ITU.

This study examines how personality traits collectively influence mature students' receptiveness and intentions toward m-learning. As mature learners' motivations and preferences remain underexplored, insights into trait-technology links could address current gaps and optimize mobile educational support tailored to their distinct characteristics and needs.

Highly developed and agile learners who can clearly convey and call on their skills are sought in all walks of life. Diverse demand for these capacities has called attention to how the skills and knowledge gained during doctoral study can be conveyed, translated and leveraged in non-academic settings; however, the complex learning reality underneath doctoral development is challenging to convey.

The data set for this particular analysis was obtained from 245 in-depth telephone interviews with PhD candidates collected prior to COVID-19. Candidates were asked about learning processes, challenges and changes, and both the questions and thematic analysis were guided by theories of doctoral development and transformational learning.

For many participants, learning and development were not familiar topics, while a small proportion deflected questions about learning altogether. One fifth of participants presented rich and lucid accounts of learning in which cognisance of complexity, metacognitive processes and transformational experiences were embedded and multiple avenues of development were in evidence. They were well-placed to convey the complexion of doctoral development. Candidates more deeply engaged in learning also commented more about changes they noticed in themselves. The most identified avenue of development was in understanding and approach to knowledge.

Candidate communication about learning and development is an under-explored dimension of doctoral experience and skill that is relevant to advancing knowledge about doctoral development and illuminating graduate potential both within and outside academe. This must constitute a key element of the re-vitalisation of the doctorate post-pandemic. The salience of framing transferable skills within a learning development perspective is discussed.

Self-regulation is the level of learning where the learner becomes an active agent in their learning process in terms of activity and aspects of motivation and metacognition. The current paper mostly deals with the metacognitive aspect. The purpose of this study is to gain insight into self-regulation of learning in the context of modern technology in higher education. This study also aims to highlight the direction, tendencies and trends toward which self-regulation of learning is moving in relation to modern technologies.

The review study was compiled via searches in three databases: Scopus, Web of Science and ERIC. A filter was used to search for empirical studies solely in English, published over the past decade on the topics of self-regulation of learning and technology in higher education.

The findings clearly show a correlation between self-regulation of learning and modern technology, especially after a significant event such as the Covid-19 pandemic. However, in the wake of this change, the field of education has seen the emergence of methods and new platforms that can provide support for the development of self-regulated learning strategies.

The originality of the study lies in the fact that it focuses on the link between self-regulation of learning and modern technologies in higher education, including some predictions of the future direction of self-regulation of learning in this context.

The study aims to examine the mediating effect of psychological well-being (PWB) on the relationship between teamwork skills and student engagement (SE) in higher education institutional setups.

The study used a triangulation mixed-methods approach. Data were collected from final-year students pursuing post-graduation and graduation in private colleges in India. In the main study, quantitative data was gathered from 276 students through a survey. The relationship among the variables-teamwork skills, SE and PWB was empirically validated through path analysis; mediation was also conducted. In the auxiliary study, qualitative data was gathered through focus group sessions and was analyzed using thematic analysis.

Results depicted that teamwork skills positively predict students' engagement with their academic program. Additionally, PWB partially mediates the relationship between teamwork skills and SE.

The study was conducted to expand understanding of aspects related to promoting students' engagement in HEIs in Delhi and Haryana through being attentive toward teamwork skills development and through taking care of students' PWB.

Introduction: Skill development is crucial in developing economies by enhancing productivity and creating employment opportunities. At the macro level, it also leads to industrial development and economic growth.

Purpose: The research is to identify the types of skills required for increasing the probability of employability of labour. It also aims to define the challenges and opportunities in skill development to drive change.

Need of the Study: Studying opportunities and challenges for skill development in developing economies is essential for achieving sustainable economic growth, reducing poverty, increasing employment opportunities, and promoting global competitiveness.

Research Methodology: Some skills are recognised through research that has been published to determine the skill set needed to increase labour productivity. To draw lessons, some skill development initiatives by various companies are also identified and presented in case studies. Additionally, several government programs are available to assess the possibilities and prospects for skill development in the Indian market.

Practical Implications: The research will be valuable in micro and macro decision making. At the micro level, research is advantageous for a business person to initiate the skill development of its employees by using government schemes. Nations other than India can understand the policy framework for skill development.

Findings: The term ‘skilling’ has become fashionable. Due to the need for skill-based earnings data, only some studies examine the return on skill (ROS) of the labour market. Skill development plays a significant role in bringing change at the micro and macro levels. Hence it is necessary to exploit all opportunities for skill development.

Although risk culture is a key determinant for an effective risk management, identifying the risk culture of a firm can be challenging due to the abstract concept of culture. This paper proposes a novel approach that uses unsupervised machine learning techniques to identify significant features needed to assess and differentiate between different forms of risk culture.

To convert the unstructured text in our sample of banks' 10K reports into structured data, a two-dimensional dictionary for text mining is built to capture risk culture characteristics and the bank's attitude towards the risk culture characteristics. A principal component analysis (PCA) reduction technique is applied to extract the significant features that define risk culture, before using a K-means unsupervised learning to cluster the reports into distinct risk culture groups.

The PCA identifies uncertainty, litigious and constraining sentiments among risk culture features to be significant in defining the risk culture of banks. Cluster analysis on the PCA factors proposes three distinct risk culture clusters: good, fair and poor. Consistent with regulatory expectations, a good or fair risk culture in banks is characterized by high profitability ratios, bank stability, lower default risk and good governance.

The relationship between culture and risk management can be difficult to study given that it is hard to measure culture from traditional data sources that are messy and diverse. This study offers a better understanding of risk culture using an unsupervised machine learning approach.

Transitions to and within university studies can be associated with heightened distress in students. This study focusses on the less studied transition from a bachelor’s to a master’s degree. During a master’s degree, study requirements and autonomy increase compared to bachelor’s studies. The present study examines how students’ experiences of study-related burnout, their approaches to learning and their experiences of the teaching and learning environment (TLE) change during this transition. Moreover, the study examines how approaches to learning and the TLE can affect study-related burnout.

Questionnaire data were collected from 335 university students across two timepoints (bachelor’s degree graduation and the second term of their master’s degree).

The results show that students’ overall experience of study-related burnout increases, as does their unreflective learning, characterised by struggling with a fragmented knowledge base. Interestingly, students’ experiences of the TLE seem to have an effect on study-related burnout in both master’s and bachelor’s degree programmes, irrespective of learning approaches. These effects are also dependent on the degree of context.

The study implies that students’ experiences of study-related burnout could be mitigated by developing TLE factors during both bachelor’s and master’s degree programmes. Practical implications are considered for degree programme development, higher education learning environments and student support.

This study explored how Brazilian young adults who cook interact with cooking-related content on social media and how such content fits their cooking routine.

Semi-structured interviews (n = 31) were transcribed, inductively and reflexively thematic analysed.

Interactions happened both in recreational and intentional ways, which coexisted and alternated depending on participants' motives and schedules. Recreational interactions such as browsing and saving happened more for self-entertainment and to some participants, to help meal planning and food shopping. Intentional interactions such as searching and sharing happened to fulfil specific needs which arised on cooking occasions, leading to agency development. Young adults who self-identified as being less experienced in cooking reported checking and comparing many recipes, as well as relying on video features to improve skills and develop self-efficacy. Despite showing agency in cooking-related matters, participants perceived lack of time to cook as an important barrier to cooking more. Intentional interactions with cooking content were linked to more established cooking routines, indicating the importance of social media to young adults' development of self-efficacy and improvement of skills.

The use of social media to search for cooking-related content is recommended by Brazilian dietary guidelines to develop cooking and food skills, but research on if and how the interaction occurs, and the resulting knowledge is put into practice, is scarce. This study addressed this gap and proposed practical implications to inform the development of interventions employing social media to improve young adults' cooking skills and health.