International Journal of Learning and Change (13 papers in press)

Regular Issues

• Entrepreneurial intention of students: the effect of social media and entrepreneurship education  
  by S. Senthil Kumar, Ragini 
  Abstract: This cross-sectional study investigates the relationship between entrepreneurship education, social media use, and entrepreneurial intentions among students from various disciplines. The study aims to contribute to the existing knowledge on entrepreneurship education by evaluating the mediating role of social media use between entrepreneurship education and intention. The study collects data from 248 students through an online survey and analyses it using the partial least squares (PLSs) method. The study finds a link between entrepreneurship education and students’ interest in starting their own businesses. Students who use social media more frequently also have higher entrepreneurial intentions. The study also implies that the entrepreneurship education that students receive on social media can affect how they use social media for entrepreneurial purposes.
  Keywords: entrepreneurship education; entrepreneurial intention; social media; entrepreneurship pedagogy; digital technologies.
  DOI: 10.1504/IJLC.2024.10063190
   
  
• Learning, attitude and biases: how related to intention of individual investors?  
  by Saroj Kumar Sahoo, Shradhanjali Panda, Sandhyarani Sahoo, Bidhu Bhusan Mishra 
  Abstract: Marketers of financial products are always interested to study the attitude of investors, but rarely any researcher or industry practitioner focused on the factors that precede the attitude in order to reach the purchase intention of financial customers (individual-investors). Hence, this study is intended to investigate the structural relationship of purchase-intention with attitude and learning. This study followed experimental research design along stratified sampling method, where the sample size is 526. With the structural equation modelling (SEM), mediation and moderation testing, it is proved that learning of financial customers have significant positive effect on behavioural intention with significant mediating effect of attitude. The model is invariant over gender and marital status. So, the marketing strategists or planners of financial products can strategise the learning to form favourable attitude of financial customers that ultimately develop positive intention of the concerned individual investors, which also justify the novelty/contributions of the present study.
  Keywords: investors; learning; attitude; intention; biases; financial customers.
  DOI: 10.1504/IJLC.2024.10063750
   
  
• Perceptions of teachers about e-learning during COVID-19 in Algeria  
  by Safia Bendjebar, Yacine Lafifi 
  Abstract: All countries on the planet are faced to an exceptional situation marked by a real coronavirus pandemic (COVID-19). In fact, this virus has changed our life and it has limited the number of people congregating in public places. Therefore, many institutions (states, establishments and private institutions) have taken all possible measures to effectively and responsibly prevent the risks of this epidemic. In education as well, such measures have been taken. Several platforms and resources have been used to help students, parents and teachers in order to facilitate students learning during this period. In this study, 101 teachers at the university of Guelma (Algeria) were selected randomly to analyse their opinions about the use of the adopted e-learning platform in their distance teaching. After using this platform for three months, teachers propose different improvements that will help learners and teachers to support the reformation of education at any emergency.
  Keywords: E-learning platform; COVID-19 pandemic; E-learning; moodle; Algerian universities.
  
  
• The adoption of ChatGPT among higher education students: measuring the adoption and personal characteristics  
  by Ghita Ibrahimi, Bouchra Benchekroun 
  Abstract: ChatGPT has advanced substantially, altering an array of industries and aspects of daily life. As it grows in popularity, ChatGPT has made its first steps into the field of education, especially higher education. This study aims to investigate the factors that affect the adoption of ChatGPT among higher education students. The novelty of this paper lies in its conceptual model combining both the adoption and personal characteristics. The findings show that demographic data have no impact on the adoption decision. However, the results suggest a negative impact of perceived advantage compatibility and visibility on ChatGPT adoption, while triability and ease of use proved to have a positive impact. Therefore, this study offers significant theoretical and managerial implications for higher education institutions (HEI) and policymakers. The results recommend a longitudinal study to assess the changes in causality between variables over time.
  Keywords: artificial intelligence; ChatGPT; higher education; students; innovation diffusion theory; higher education institutions; HEI.
  
  
• Grade 12 learners’ understanding of differentiation: tracking first principle and power rule using the ACE teaching cycle  
  by Wisani Hlangwani, Zwelithini Bongani Dhlamini 
  Abstract: This qualitative exploratory case study delves into learners’ understanding of differentiation through the first principle and power rule. The study adopted the action, process, object, and schema (APOS) theory as a lens to track learners’ understanding of these concepts using the activities, classroom discussion, and exercise (ACE) teaching cycle. The findings of the study highlight learners’ algebraic conceptual obstacles in comprehending the first principle and power rule. Moreover, the study demonstrates the effectiveness of the ACE teaching cycle as a valuable tool for unveiling learners’ conceptual obstacles. Overall, this research contributes to the advancement of knowledge and practice in mathematics learning by identifying critical issues, emphasising the significance of algebraic skills in differentiation, and showcasing the value of the ACE teaching cycle in supporting learners’ understanding. As a result, the study suggests the need for further research to enhance learners’ algebraic skills, which are essential for successful differentiation.
  Keywords: activities-classroom discussions-exercises; ACE; action-process-object-schema; APOS; differentiation; learner understanding; levelled; recursive.
  
  
• A comparative analysis of Web 3.0, Web 2.0, and Web 1.0: evolution and implications  
  by Lakshmi Mansi Chada, Hari Vishnu Parashar, Ishi Singh, Mishti Rastogi, Suvin Singh, S.P. Raja 
  Abstract: For ages, humankind was unsuccessful in accomplishing their aspirations practically, though sometimes they were able to achieve the same theoretically. However, this gap was bridged by many groundbreaking inventions. One such invention is the World Wide Web. The web, which is often described as an evolving network of networks, has constantly been moving forward since its discovery and thereby giving rise to improved applications. This review paper aims to elucidate the reader on the same. It provides a comprehensive understanding of each iteration of the web and talks about the technological advancements made considering that specific version of the web. The outcome of this review is to present the reader with a comparative analysis of all the iterations of the web based on certain chosen parameters. Furthermore, the findings of this review have been discussed from various aspects to help the reader gain a better understanding of the comparative analysis.
  Keywords: Web 1.0; Web 2.0; Web 3.0; decentralisation; blockchain; API; user experience; architecture; implications; limitations.
  
  
• Green strategies for internet of things  
  by Priyanshi Garg, S.P. Raja 
  Abstract: Green internet of things is important to achieve atmospheric decarbonisation, it is crucial to implement procedures and practices that prioritise resource conservation and environmental protection. However, the growing use of Internet of Things devices poses a challenge due to their high-energy requirements for data reception and transmission which often leads to rapid battery drain, necessitating frequent battery replacement and consequently these discarded batteries often end up in landfills, causing adverse environmental impacts. This paper examines the environmental consequences of IoT devices’ energy consumption and battery disposal and also explores potential solutions and strategies to mitigate these issues. This paper reviews two methods which have proven useful in measuring energy usage. The study emphasises the importance of adopting sustainable practices in the design, usage, and disposal of IoT devices to minimise their ecological footprint and promote a greener future.
  Keywords: internet of things; IoT; green IoT.
  
  
• Use of augmented reality tools in marketing communication with the audience  
  by Jelena Salkovska, Anda Batraga, Liene Kaibe, Henrijs Kalkis, Katrina Kellerte, Laura Minskere 
  Abstract: The scientific problem of the paper is related to the need to improve corporate marketing communication by using innovative technologies to improve consumer experience in the purchase decision process and to reduce purchase risks. The use of augmented reality is one of the innovative marketing communication technologies. So far, the impact of the use of this technology on the consumer experience in the purchase decision process has not been sufficiently explored in both qualitative and quantitative aspects, and no statistical data on the use of augmented reality in marketing communication are available. However, the use of augmented reality became an important milestone during the COVID-19 pandemic, so the aim of this study is to assess the role of augmented reality tools in the purchase decision process and to develop proposals to improve the use of augmented reality tools in corporate marketing. The research hypothesis has been confirmed and it has been concluded that the use of augmented reality in marketing communication enhances the consumer experience in the purchase decision process.
  Keywords: augmented reality; marketing communication; purchase decision; consumer experience.
  DOI: 10.1504/IJLC.2024.10063136
   
  
• Assessment of students' academic performance in clothing and textile in tertiary institutions using ANN and ANOVA techniques  
  by Juliana Ego Azonuche, Juliet Obiageli Okoruwa, Comfort Ukrajit Sonye, Gbenga Samuel Oladosu 
  Abstract: The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and five hypotheses tested at the 0.05 level of significance. ANOVA is utilised to identify significant differences in academic performance among groups formed by the aforementioned factors. The most significant factors identified through ANOVA are used as input features for the ANN model. The dataset for the ANN model development was randomly distributed into three groups training (80%), validation (10%), and testing (10%). Hypothesis testing indicates significant differences in students' academic performance between institutions and based on O-level qualifications. Further research can build upon these findings to enhance the quality of education in the field of clothing and textiles.
  Keywords: assessment; performance; clothing; textile; artificial neural network; ANN; analysis of variance; ANOVA.
  DOI: 10.1504/IJLC.2024.10065371
   
  
• Does perceived organisational support reduce academicians turnover intention? A mediating role of perceived values of artificial intelligence  
  by M. Dinesh Babu, Bijay Prasad Kushwaha 
  Abstract: The objective of the study is to investigate the impact of perceived organisational support (POS) on the turnover intention of academicians. Additionally, it explores the potential mediating role of perceived values of artificial intelligence (PVAI) in the relationship between POS and turnover intention among teaching faculty members in private educational institutions. The data for the study was collected from faculty members currently employed in educational institutions in India, and a self-administered survey was utilised. A purposive sampling technique was employed to select a sample of 210 teaching faculty members from educational institutions. The results indicate that employees' intentions to leave their jobs are influenced by their POS and PVAI. This implies that academicians' turnover intention decreases when they perceive higher levels of POS and PVAI in their workplace. Furthermore, the findings suggest that PVAI partially mediates the relationship between POS and employee turnover intention.
  Keywords: artificial intelligence; perceived organisational support; social exchange theory; turnover intention.
  DOI: 10.1504/IJLC.2024.10065370
   
  
• Building career resilience: the interplay between university life satisfaction, career decision, and career adaptability  
  by Yogesh Sharma, Aarti Madan, Ankit Suri, Rajeev Sijariya, Vaniki Joshi Lohani, Lokesh Jindal 
  Abstract: The ability of individuals to excel in one's careers is termed as career adaptability. People with a high level of career adaptability score tend to showcase better overall control over their careers. In this study, we have explored the precedents that predict career adaptability. We collected data from 330 students of graduation, post-graduation, and research enrolled at various universities in India. Using structural equation modelling in R Programming, we found that social support and course relevance plays a positive and significant role in 'university life satisfaction' which in turn predicts a positive impact on career adaptability and its four components (concern, control, curiosity, and confidence). Further we found negative moderation effect of 'career decision' on relationship between 'course relevance' and 'university life satisfaction'. This empirical evidence in the study provides insights to the academic policymakers and various stakeholders and help in creating a robust and effective policy framework.
  Keywords: career decision; career counselling; career adaptability; PLS-SEM; social support; university life satisfaction; ULS; SEMinR.
  DOI: 10.1504/IJLC.2024.10063832
   
  
• The predicting role of science motivation on the social emotional learning  
  by Nihan Arslan, Serhat Arslan, Aslı Kartol, Mehmet Akcaalan 
  Abstract: This research aims to examine the relationship between science motivation and social emotional learning. The relational analysis method was used in the research within the scope of quantitative research. The research scopes the relationship between high school students' science motivation and social emotional learning. According to the results, a positive relationship was found between the sub-dimensions of social emotional learning and science motivation. In addition, analysis was carried out to detect which factors of social emotional learning are the best predictors of science motivation. In other words, as the level of social emotional learning increases, the motivation levels of science increase. In this relationship, the 'task definition' sub-dimension of social emotional learning is the most powerful explanatory factor. It was concluded that social emotional learning as an independent variable explained science motivation more because of regression analysis. The positive relationship between science motivation and social-emotional learning; high school students' analysis of natural events, both social and emotional, is among the contributions of this research to the field.
  Keywords: science motivation; social emotional learning; regression.
  DOI: 10.1504/IJLC.2024.10063009
   
  
• Harnessing employee emotional capital for higher order performance  
  by Parul Gupta, Kanupriya Misra Bakhru, Amit Shankar 
  Abstract: This study explores the factors that affect the accumulation of employee emotional capital and the subsequent returns generated in an organisation. It uses qualitative research methods based on interpretative phenomenological analysis (IPA) to collect data which enables an in-depth investigation of the lived experience of the participants. This study identifies how factors like investment, leadership, culture, and systems impact the accumulation of employee emotional capital in an organisation. It also identifies which specific returns emotional capital can generate for individual employees and the organisation. This study also augments the Socio-technical systems theory (Trist and Bamforth, 1951) and makes it more relevant for the current business scenarios. The study provides a comprehensive understanding of factors which can strengthen the integration of technology and human components of an organisation and generate a higher order performance.
  Keywords: emotional capital; organisational performance; employee emotions; organisational investment.
  DOI: 10.1504/IJLC.2024.10063325