Search results

The purpose of this study is to present a systematic and comprehensive review of personalized, adaptive and semantic e-learning systems.

Preferred reporting items of systematic reviews and meta-analyses guidelines have been used for a thorough insight into associated aspects of e-learning that complement the e-learning pedagogies and processes. The aspects of e-learning systems have been reviewed comprehensively such as personalization and adaptivity, e-learning and semantics, learner profiling and learner categorization, which are handy in intelligent content recommendations for learners.

The adoption of semantic Web based technologies would complement the learner’s performance in terms of learning outcomes.

The evaluation of the proposed framework depends upon the yearly batch of learners and recording is a cumbersome/tedious process.

E-Learning systems may have diverse and positive impact on society including democratized learning and inclusivity regardless of socio-economic or geographic status.

A preliminary framework of an ontology-based e-learning system has been proposed at a modular level of granularity for implementation, along with evaluation metrics followed by a future roadmap.

The complexity of citizenship behavior in organizations has long been a focus of research. Traditional methodologies have been predominantly used to address this complexity. This paper aims to tackle the problem using a cutting-edge technological tool: business process mining. The objective is to enhance citizenship behaviors by leveraging primary data collected from 326 white-collar employees in the Indian service industry.

The study focuses on two main processes: training and creativity, with the ultimate goal of fostering organizational citizenship behavior (OCB), both in its overall manifestation (OCB-O) and its individual components (OCB-I). Seven different machine learning algorithms were used: artificial neural, behavior, prediction network, linear discriminant classifier, K-nearest neighbor, support vector machine, extreme gradient boosting (XGBoost), random forest and naive Bayes. The approach involved mining the most effective path for predicting the outcome and automating the entire process to enhance efficiency and sustainability.

The study successfully predicted the OCB-O construct, demonstrating the effectiveness of the approach. An optimized path for prediction was identified, highlighting the potential for automation to streamline the process and improve accuracy. These findings suggest that leveraging automation can facilitate the prediction of behavioral constructs, enabling the customization of policies for future employees.

The findings have significant implications for organizations aiming to enhance citizenship behaviors among their employees. By leveraging advanced technological tools such as business process mining and machine learning algorithms, companies can develop more effective strategies for fostering desirable behaviors. Furthermore, the automation of these processes offers the potential to streamline operations, reduce manual effort and improve predictive accuracy.

This study contributes to the existing literature by offering a novel approach to addressing the complexity of citizenship behavior in organizations. By combining business process mining with machine learning techniques, a unique perspective is provided on how technological advancements can be leveraged to enhance organizational outcomes. Moreover, the findings underscore the value of automation in refining existing processes and developing models applicable to future employees, thus improving overall organizational efficiency and effectiveness.

This study aims to examine the understudied topic of Islamic entrepreneurship by adapting the framework of waqf-based entrepreneurship to identify the crucial factors driving waqf-based entrepreneurs’ motivation.

A partial least squares structural equation model was used to validate the hypotheses, and in-depth interviews were conducted to gain deeper insights into the findings.

The key findings revealed that self-commitment, entrepreneurial skills and family support exert a significant and positive influence on waqfpreneurs’ motivation to engage in waqf-based entrepreneurship, with self-commitment playing a mediating role between self-actualisation and waqfpreneurial motivation. Additionally, the study proposes categorisations of waqfpreneurs based on the volume of waqf funds managed; their capacity to execute waqf-based entrepreneurship; and institutional performance metrics.

The limited sample size restricts the generalisability of the study. Future research should use a larger sample to generate more broadly applicable results. In addition, the methodology can be replicated in other countries to identify new factors influencing waqfpreneurs’ motivation or to uncover aspects not explored in this research. Future studies could also use qualitative methodologies such as grounded theory, ethnography or case studies. This would allow for a deeper exploration of motivational factors not yet captured, directly from the lived experiences of waqfpreneurs/nazhirs.

The study provides evidence of the key factors that influence waqf-based entrepreneurship, contributing to the literature on entrepreneurship and waqf. It also offers valuable insights for the government and other stakeholders into strategies to motivate waqf-based entrepreneurs, ultimately fostering the development of waqf assets, value creation and sustainable waqf benefit distribution.

The study aims to address the lack of research on Islamic entrepreneurship by specifically modifying the framework of waqf-based entrepreneurship to investigate the key factors that influence individuals’ motivation to conduct waqf-based entrepreneurship and management activities.

Surakarta needs to evaluate its flat management as the most populous city in Central Java, Indonesia. This study examines the implementation of flat management in Surakarta City and evaluates and recommends the appropriate flat retribution rate.

This study used the analytical descriptive method to explain the problems in managing flats in Surakarta City. The data were obtained through a review of existing regulations and in-depth interviews with the flat residents and managers. The proposed retribution tariff for flats is calculated with a market approach through a comparison with neighboring cities and/or districts adjusted to the regional minimum wage to accommodate the residents’ ability to pay.

Based on the results of interviews and a review of regulations, problems were identified in the management of flats in Surakarta City. A comparison of levy rates with surrounding districts led to a proposal for new levy rates, which were divided into two tariff groups based on the characteristics of flats in Surakarta City.

The result of this study is a suggested retribution tariff derived from an economic framework that has yet to be validated by assessing the flat residents' willingness to pay.

This paper complements previous studies on the management and financing of flats by more in-depth evaluating the current tariffs and providing recommendations for appropriate tariffs.

The study examines the effectiveness of an academic integrity training program called Academic Integrity Training (AIT) in improving students’ academic integrity among final-year students.

The research design used was one group pretest and posttest (n = 40) students in research proposal courses.

Analysis with stacking and racking analysis showed a change in the distribution of the Logit Value Person (LVP) and Logit Value Item (LVI) values on the side of the subjects and items used for this study. Testing with a paired sample t-test yielded a value of t = −3.059 and a significance (p) = 0.004, indicating that there was a significant increase in LVP at the pre-test (M = 2.52 & SD = 1.56) and post-test (M = 3.33 & SD = 2.09) in the subject of the study.

The study results concluded that this academic integrity training program can improve students' academic integrity and is designed and implemented with the right personal approach to suppress academic dishonesty, especially the problem of plagiarism among graduate students submitting thesis proposals.

Academic dishonesty has been a major problem in higher education over the last two decades. Various strategies have been attempted to address the condition, but no program has been found to directly address the problem on the personal order or individuals who do so.

The investigation into the influence of psychological capital on innovative behavior has typically been grounded in self-efficacy theory. However, individuals with high self-efficacy may encounter obstacles such as overconfidence and reluctance to accept feedback, potentially hindering successful innovation outcomes. Acknowledging the significance of collaborative efforts among organizational members in promoting innovation success, this study aims to examine the association between psychological capital and innovative behavior, with particular attention to the mediating influence of social capital.

The data utilized in this study were obtained from 6,409 participants enrolled in the Independent Study program “Merdeka Belajar Kampus Merdeka” in 2022. Data collection employed an online survey approach, while data analysis was conducted using Structural Equation Modeling through the SEM-PLS application.

Social capital serves as a mediator in the relationship between psychological capital and innovative behavior. The results highlight the importance of understanding innovation as an outcome emerging from intricate interactions between psychological and social factors.

This investigation, utilizing social capital theory, furnishes preliminary empirical insights into the intermediary role of social capital between psychological capital and innovative behavior, thereby augmenting the scholarly discourse within this field and paving the way for further scholarly inquiry.

The COVID-19 pandemic resulted in significant declines in international tourist arrivals and receipts. It has also influenced destination preference, tourist demographic, travel motivation, and behavior. Recognizing health and safety as the new considerations in pursuing tourism activities in the better normal, this necessitated a reassessment of the current tourism industry by directing the attention from the usual destination-centric perspective to a value chain perspective. This chapter proposes a new paradigm for the better normal value chain by deconstructing the concepts of travel, tourism, and travel sectors and revisiting the concept of the tourism value chain (TVC) by mapping out the chain and its functional levels and integrating travel, tourism, and hospitality sectors in one value chain. Policymaking approaches such as reorganizing the value chain, empowering stakeholder involvement through coopetition, and resilience building in the face of possible adversities in the future should be adapted to achieve this suggested paradigm's goals. This analysis provides stakeholders with a broader understanding of the needed interventions in future-proofing the industry backed by industry trends in the better normal while fostering collaboration and offering flexibility to cope better in other possible shocks in the future.

The purpose of this study was to examine how well a strength-based program grounded in positive psychology principles can advance the practical critical thinking skills of those pursuing the teacher training course.

This study used a single-group pre-test post-test design with 35 teacher-trainees from the Bachelor of Education course. The two-and-a-half-week strength-based program used the values in action survey to identify strengths. Pre- and post-test scores, measured with the Cornell Critical Thinking Test – Level Z, underwent Statistical Package for Social Sciences analysis including paired samples t-test for subcomponent and overall composite analysis.

Analysis of the pre- and post-test scores demonstrated a statistical significance in the critical thinking scores obtained by the teacher-trainees. Post-test scores were consistently significant. Out of the elements of critical thinking, induction, meaning, observation and credibility were more prominent. Deduction and assumption identification were also having a significant effect.

Most critical thinking programs focus on evaluating specific teaching methods for improving critical thinking skills. In education, positive psychology studies often center on students’ well-being, attention spans and academic success, aligning with wellness programs. Despite the importance of strengths in positive psychology, there is a lack of research on using a strength-based approach to boost critical thinking skills. This study aims to enhance teacher-trainees’ critical thinking by leveraging their individual strengths, moving away from traditional instructional strategies.

The current analysis was conducted to investigate the quality of surfaces and geometry of tracks printed using PolyMideTM CoPA, PolymaxTM PC and PolyMideTM PA6-CF materials through fused deposition modelling (FDM). This study also examined the degree of fusion of adjacent filaments (tracks) to approximate the optimal process parameters of the three materials.

Images of fused adjacent filaments were acquired using scanning electron microscopy (SEM), after which, they were analysed using Image J Software and Minitab Software to determine the optimal process parameters.

The optimal process parameters for PolyMideTM CoPA are 0.25 mm, 40 mm/s, −0.10 mm, 255°C and 0.50 mm for layer thickness, printing speed, hatch spacing, extrusion temperature and extrusion width, respectively. It was also concluded that the optimal process parameters for PolymaxTM PC are 0.30 mm, 40 mm/s, 0.00 mm, 260°C and 0.6 mm for layer thickness, printing speed, hatch spacing, extrusion temperature and extrusion width, respectively.

It was difficult to separate tracks printed using PolyMideTM PA6-CF from the support structure, making it impossible to examine and determine their degree of fusion using SEM.

The study provides more knowledge on FDM, which is one of the leading additive manufacturing technology for polymers. The information provided in this study helps in continued uptake of the technique, which can help create job opportunities, especially among the youth and young engineers.

This study proposes a new and a more accurate method for optimising process parameters of FDM at meso-scale level.

Free knowledge sharing in the online health community has been widely documented. However, whether free knowledge sharing can help physicians accumulate popularity and further the accumulated popularity can help physicians attract patients remain unclear. To unveil these gaps, this study aims to examine how physicians' popularity are affected by their free knowledge sharing, how the relationship between free knowledge sharing and popularity is moderated by professional capital, and how the popularity finally impacts patients' attraction.

The authors collect a panel dataset from Hepatitis B within an online health community platform with 10,888 observations from April 2020 to August 2020. The authors develop a model that integrates free knowledge sharing, popularity, professional capital, and patients' attraction. The hierarchical regression model is used to for examining the impact of free knowledge sharing on physicians' popularity and further investigating the impact of popularity on patients' attraction.

The authors find that the quantity of articles acted as the heuristic cue and the quality of articles acted as the systematic cue have positive effect on physicians' popularity, and this effect is strengthened by physicians' professional capital. Furthermore, physicians' popularity positively influences their patients' attraction.

This study reveals the aggregation of physicians' popularity and patients' attraction within online health communities and provides practical implications for managers in online health communities.