Template-Type: ReDIF-Article 1.0
Author-Name: Akanksha Bisht
Author-X-Name-First: Akanksha
Author-X-Name-Last: Bisht
Author-Name: H.S. Bhadauria
Author-X-Name-First: H.S.
Author-X-Name-Last: Bhadauria
Author-Name: Jitendra Virmani
Author-X-Name-First: Jitendra
Author-X-Name-Last: Virmani
Author-Name: Annapurna Singh
Author-X-Name-First: Annapurna
Author-X-Name-Last: Singh
Author-Name:  Kriti
Author-X-Name-First: 
Author-X-Name-Last: Kriti
Title: Sentiment analysis of micro-blogging sites using supervised learning: a narrative review of recent studies
Abstract:
Sentiment analysis is a task of predicting sentiments from the opinionated data and classifies them as positive, negative, ratings (stars or numerical), thumbs up - thumbs down and so forth. In the present survey, we have covered numerous datasets, methodologies, developments together with indications for advances in the near future. Inspired by the achievements of deep learning, plenty of researchers are utilising the deep learning models for conducting sentiment analysis. Therefore, we have highlighted some studies regarding the use of machine learning and deep learning models on different micro-blogging sites with the evolution in sentiment analysis. The survey presents a number of suitable illustrations-most prominently, a table that summarises previous papers along different dimensions such as types of objectives, classification techniques and dataset used.
Journal: Int. J. of Knowledge and Learning
Pages: 89-119
Issue: 2
Volume: 15
Year: 2022
Keywords: sentiment analysis; NLP; machine learning; deep learning; text classification.
File-URL: http://www.inderscience.com/link.php?id=121884
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:2:p:89-119

Template-Type: ReDIF-Article 1.0
Author-Name: Kriti Priya Gupta
Author-X-Name-First: Kriti Priya
Author-X-Name-Last: Gupta
Author-Name: Preeti Bhaskar
Author-X-Name-First: Preeti
Author-X-Name-Last: Bhaskar
Author-Name: Amit Joshi
Author-X-Name-First: Amit
Author-X-Name-Last: Joshi
Title: Prioritising barriers of online teaching during COVID-19 from teachers' perspective: using the analytic hierarchy process
Abstract:
Online teaching is no longer a choice but is an essential requirement for teachers due to the outbreak of global pandemic COVID-19. In India, lockdown conditions are still in force, and educational institutions are closed until further notice. Teachers are conducting online sessions from their homes, so it is important to identify the barriers encountered by teachers in online teaching. The purpose of this paper is to identify and prioritise the barriers faced by teachers in online teaching during COVID-19 pandemic in the HEIs of India. AHP approach is employed to prioritise the barriers encountered by teachers in online teaching during COVID-19 pandemic. The data was collected from 27 teachers working in various universities of Uttarakhand, India. These findings indicate that 'lack of institutional support' is the main barrier followed by home environment settings, technical issues, teachers' readiness, and students' readiness in online teaching during COVID-19 pandemic in India.
Journal: Int. J. of Knowledge and Learning
Pages: 203-232
Issue: 3
Volume: 15
Year: 2022
Keywords: AHP approach; barriers; COVID-19; online teaching; prioritisation; teachers' perspective.
File-URL: http://www.inderscience.com/link.php?id=123956
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:3:p:203-232

Template-Type: ReDIF-Article 1.0
Author-Name: Khushboo Agnihotri
Author-X-Name-First: Khushboo
Author-X-Name-Last: Agnihotri
Author-Name: Sachin Kumar Srivastava
Author-X-Name-First: Sachin Kumar
Author-X-Name-Last: Srivastava
Title: Upshot of coronavirus on the teenagers of Indian subcontinent and Middle East
Abstract:
This paper talks about the traumatic impact of the COVID-19 pandemic on the human mind. This research will focus on the youth of the Indian subcontinent and the Middle East. The word 'youth' indicates that this research will be focused solely on the demographic of 13-30 years of age. The reason for choosing these two specific geographical locations is due to the circumstance that both of these areas faced the outbreak of the virus around the same time and imposed strict lockdown rules within the same week. While the reason for choosing this specific age group is due to the fact that we have the maximum number of reaches pertaining to this age group. This paper focuses on the prevalent issues of mental health in the millennial generation and how uncertainties of the future elevate and enhance such issues. The effects of this coronavirus will be evaluated with regards to three main factors, i.e., effects of being in quarantine, impact of social media and influence of economic factors on the mind.
Journal: Int. J. of Knowledge and Learning
Pages: 233-252
Issue: 3
Volume: 15
Year: 2022
Keywords: coronavirus; COVID-19; mental health; quarantine; physical distancing.
File-URL: http://www.inderscience.com/link.php?id=123960
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:3:p:233-252

Template-Type: ReDIF-Article 1.0
Author-Name: Davinia Palomares-Montero
Author-X-Name-First: Davinia
Author-X-Name-Last: Palomares-Montero
Author-Name: María José Chisvert-Tarazona
Author-X-Name-First: María José
Author-X-Name-Last: Chisvert-Tarazona
Author-Name: Alicia Ros-Garrido
Author-X-Name-First: Alicia
Author-X-Name-Last: Ros-Garrido
Title: Work integration social enterprises as promoters of knowledge and workplace learning: three cases in the waste collection sector
Abstract:
This study explores what kind of learning, explicit and/or tacit, facilitates work integration social enterprises (WISEs), in the waste collection sector, for people in vulnerable situations. A longitudinal study based on learning trajectories was conducted from 2015-2018. We present the results for three WISEs in which 14 integration workers were observed in real work situations over a total of 31 working days. Additionally, we conducted 78 semi-structured interviews of integration workers and their pedagogical referents. We analyse what WISEs teach to facilitate workers' social inclusion and what the integration workers learn in the workplace before moving to the ordinary labour market. We conclude that deliberative knowledge plays a larger role regarding socio-labour and personal learning when WISEs prioritise their pedagogical accompaniment. However, technical learning appears linked to tacit and reactive knowledge related to work performance. The results are evident in WISEs where the personal itinerary is defined from the beginning.
Journal: Int. J. of Knowledge and Learning
Pages: 274-291
Issue: 3
Volume: 15
Year: 2022
Keywords: work integration social enterprise; WISE; workplace learning; explicit knowledge; tacit knowledge; learning trajectories; social inclusion; third sector; non-profit organisations; pedagogical accompaniment.
File-URL: http://www.inderscience.com/link.php?id=123962
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:3:p:274-291

Template-Type: ReDIF-Article 1.0
Author-Name: Riktesh Srivastava
Author-X-Name-First: Riktesh
Author-X-Name-Last: Srivastava
Author-Name: Jitendra Singh Rathore
Author-X-Name-First: Jitendra Singh
Author-X-Name-Last: Rathore
Author-Name: Sachin Kumar Srivastava
Author-X-Name-First: Sachin Kumar
Author-X-Name-Last: Srivastava
Author-Name: Khushboo Agnihotri
Author-X-Name-First: Khushboo
Author-X-Name-Last: Agnihotri
Title: The impact on society of false news spreading on social media with the help of predictive modelling
Abstract:
Nowadays, the interaction on social media for the latest news is an excellent source of information. Most of the time we read online news that may primarily appear authentic, but we cannot assure it because it does not happen every time. According to Gartner's published report, by 2022, most mature economies will get fake information than the correct information, mainly through social media. Fake news is one of the prevalent threats in our digitally linked world. This paper proposes a model for recognising fake news through the dataset from the Kaggle. There was 3,000 news collected from various social media sources in the dataset, of which 2,725 news is a training dataset and 275 for the test dataset. The fake and real news is classified and compared using five machine learning classification algorithms and analysed accordingly. The five classification algorithms are support vector machine (SVM), naïve Bayes, logistic regression, random forest, and neural networks.
Journal: Int. J. of Knowledge and Learning
Pages: 307-318
Issue: 4
Volume: 15
Year: 2022
Keywords: support vector machine; SVM; naïve Bayes; logistic regression; random forest; neural networks; classification accuracy; CA; precision; recall; F-1 score.
File-URL: http://www.inderscience.com/link.php?id=126266
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:4:p:307-318

Template-Type: ReDIF-Article 1.0
Author-Name: Hoang Dinh Phi
Author-X-Name-First: Hoang Dinh
Author-X-Name-Last: Phi
Author-Name: Nguyen Xuan Yem
Author-X-Name-First: Nguyen Xuan
Author-X-Name-Last: Yem
Author-Name: Nguyen Ngoc Thang
Author-X-Name-First: Nguyen Ngoc
Author-X-Name-Last: Thang
Author-Name: Hoang Anh Tuan
Author-X-Name-First: Hoang Anh
Author-X-Name-Last: Tuan
Title: Knowledge management in higher education: evidence from an interdisciplinary postgraduate program
Abstract:
Climate change impacts, pollution, water scarcity, diseases, inequality, and social instability are big challenges to humans and governments in Asia and the world. Higher education offers the potential to deal with these challenges by providing interdisciplinary training programs. This study aims to examine how a higher education institute (HEI) applies knowledge management (KM) to create and develop an interdisciplinary training program for the urgent needs of society. The study applied the qualitative method and used in-depth interviews to collect the opinions and thoughts of the respondents. The study identified five major themes that could be addressed in creating and developing an interdisciplinary postgraduate training program in HEIs. The study also highlights the directions for future research.
Journal: Int. J. of Knowledge and Learning
Pages: 292-306
Issue: 3
Volume: 15
Year: 2022
Keywords: knowledge management; KM; interdisciplinary postgraduate program; higher education institution; HEI; Vietnam.
File-URL: http://www.inderscience.com/link.php?id=123963
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:3:p:292-306

Template-Type: ReDIF-Article 1.0
Author-Name: Oluseye Jegede
Author-X-Name-First: Oluseye
Author-X-Name-Last: Jegede
Author-Name: Nazeem Mustapha
Author-X-Name-First: Nazeem
Author-X-Name-Last: Mustapha
Title: Overcoming barriers to product innovation among businesses in the informal sector
Abstract:
Even though the informal sector is the largest contributor to African economies, very little empirical research has been done on determinants of and barriers to product innovation in the informal sector. The study assessed how informal businesses overcome barriers to product innovation by econometric analysis of 996 informal enterprises in a township in KwaZulu-Natal Province in South Africa. Analysis showed a significant positive relationship between technological challenges and product innovation, but a significant negative relationship between social challenges and product innovation. Also, there was a significant positive relationship between percentage of family members in the business and product innovation, but a significant negative relationship between educational qualifications and product innovation. The study concludes that, based on their high level of flexibility due to their smallness, proximity to another and to their customers, these informal sector businesses found suitable alternatives to their technology related barriers.
Journal: Int. J. of Knowledge and Learning
Pages: 319-341
Issue: 4
Volume: 15
Year: 2022
Keywords: product innovation; small businesses; informal sector; innovation barriers; RSA; South Africa; knowledge and learning; determinants of innovation.
File-URL: http://www.inderscience.com/link.php?id=126268
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:4:p:319-341

Template-Type: ReDIF-Article 1.0
Author-Name: Shahzore Ali Khan
Author-X-Name-First: Shahzore Ali
Author-X-Name-Last: Khan
Author-Name: Muhammad Anwar ul Haq
Author-X-Name-First: Muhammad Anwar ul
Author-X-Name-Last: Haq
Title: Toxic leadership and knowledge hiding behaviour: examining a serial mediation mechanism
Abstract:
Knowledge management is the need of today's complex business environment. Effective knowledge sharing develops cooperation among employees which enhances firm performance and creativity. Leaders are the main players which transform their followers and develop sharing habits among them. Knowledge is required by co-workers to accomplish a particular task. Like positive, dark leadership phenomenon also exists in the organisations and affects the knowledge sharing process by forecasting knowledge hiding behaviour. Therefore, the purpose of this research is to find out the effect of toxic leadership on knowledge hiding behaviour. Moreover, this study investigates the underlying mechanism that how leader toxicity affects employee organisational identification and self-esteem which urges them to involve in knowledge hiding behaviour. Based on the leader-member exchange theory, current research suggests that knowledge hiding behaviour is the outcome of leader toxicity. A survey of 158 employees from the education sector has empirically validated the hypotheses. SEM was used to analyse structural paths using Smart PLS 3.0. The result shows that toxic leadership has a direct effect on knowledge hiding behaviour whereas dual mediation unveils the underlying mechanism. Current research has enriched the literature on toxic leadership and provided important managerial implications to practitioners.
Journal: Int. J. of Knowledge and Learning
Pages: 342-358
Issue: 4
Volume: 15
Year: 2022
Keywords: toxic leadership; knowledge hiding behaviour; dark leadership.
File-URL: http://www.inderscience.com/link.php?id=126269
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:4:p:342-358

Template-Type: ReDIF-Article 1.0
Author-Name: Teena Bharti
Author-X-Name-First: Teena
Author-X-Name-Last: Bharti
Title: Mindfulness and well-being in management students: analysing the moderating role of gender in corona times
Abstract:
This research explores the relationship between mindfulness and the well-being in adult individuals studying in management institutions of India in the COVID pandemic times. The responses were collected via online survey from adult postgraduate students (N = 481) from management institutions of India. Regression and a moderation analysis were used to explore the effect of trait mindfulness on well-being and the moderation effect of gender in the relationship. The study indicated favourable results suggesting that mindfulness leads to the increase in well-being of the adults. Also, the female adult postgraduates were found to be more mindful as compared the males. The limitations and implications of the study have also been discussed. This study adds to the theory of flourishing suggesting that mindful individuals would have better well-being.
Journal: Int. J. of Knowledge and Learning
Pages: 359-372
Issue: 4
Volume: 15
Year: 2022
Keywords: adults; COVID pandemic; Indian study; mindfulness; negative affect; students; positive affect; well-being.
File-URL: http://www.inderscience.com/link.php?id=126270
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:4:p:359-372

Template-Type: ReDIF-Article 1.0
Author-Name: Pankaj Kumar
Author-X-Name-First: Pankaj
Author-X-Name-Last: Kumar
Author-Name: Ramesh Kumar Garg
Author-X-Name-First: Ramesh Kumar
Author-X-Name-Last: Garg
Author-Name: Parveen Kumar
Author-X-Name-First: Parveen
Author-X-Name-Last: Kumar
Author-Name: Manoj Panwar
Author-X-Name-First: Manoj
Author-X-Name-Last: Panwar
Title: Teachers' perceptions of student barriers to sustainable engagement in online education
Abstract:
This study examines teachers' perceptions of student barriers to sustainable engagement in online education in northern India's higher educational institutions (HEIs) during the lockdown period of the COVID-19 pandemic. In HEIs, e-learning has emerged as a prominent mode of obtaining education during the COVID-19 emergency. Data was collected through an online Google Form from 1,111 teachers (1,060 considered usable) of different HEIs in northern India using the purposive sampling technique. The statistical analysis includes descriptive and inferential statistics, factor analysis, ANOVA, correlation, and regression analysis. Results revealed that barriers to students' sustainable online education engagement are divided into two clusters: behavioural and technological. These barriers differ significantly based on gender and discipline of the study of the respondent - teachers. Behavioural barriers have a higher impact than technological barriers. Results show that both barriers, i.e., behavioural and technological barriers, are significantly correlated with the students' sustainable engagement in online education.
Journal: Int. J. of Knowledge and Learning
Pages: 373-408
Issue: 4
Volume: 15
Year: 2022
Keywords: online education; teachers' perceptions; barriers; sustainable engagement.
File-URL: http://www.inderscience.com/link.php?id=126273
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:4:p:373-408

Template-Type: ReDIF-Article 1.0
Author-Name: Swati Jain
Author-X-Name-First: Swati
Author-X-Name-Last: Jain
Author-Name: Puneeta Ajmera
Author-X-Name-First: Puneeta
Author-X-Name-Last: Ajmera
Author-Name: Vineet Jain
Author-X-Name-First: Vineet
Author-X-Name-Last: Jain
Title: Modelling and analysis of the classroom communication barriers using ISM: an Indian teacher's perspective
Abstract:
Communication is an essential component of the educational system and its effectiveness is one of the elements that determine how far the desired results can be reached. Effective communication is not always free of impediments. There are a variety of variables related to the tutor, learners and educational environment that act as obstacles to and reduce the effectiveness of class communication. The aim of the present study is to identify the key barriers that affect classroom communication. The barriers that influence classroom communication have been analysed by the 'interpretive structural modelling' (ISM) methodology. MICMAC analysis analyses the driving and dependence power of barriers. The outcome reveals that 'unfitting knowledge and abilities, feedback and technology' are at the top level barriers. A comprehensive model of the relationship between these barriers has been established in this research so that classroom communication can be improved.
Journal: Int. J. of Knowledge and Learning
Pages: 253-273
Issue: 3
Volume: 15
Year: 2022
Keywords: classroom communication barriers; modelling; ISM; MICMAC.
File-URL: http://www.inderscience.com/link.php?id=123980
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:3:p:253-273

Template-Type: ReDIF-Article 1.0
Author-Name: Hamza Ladeg
Author-X-Name-First: Hamza
Author-X-Name-Last: Ladeg
Author-Name: Rachid Chalal
Author-X-Name-First: Rachid
Author-X-Name-Last: Chalal
Title: New architecture of enterprise social networks for knowledge sharing within engineering school
Abstract:
Enterprise social networks (ESNs) are considered as technology tools or platforms that improve collaboration among employees capture and share knowledge and know-how through creating link connection among employees to increase creativity and innovation. However, the content generated through ESN must undergo a lifting such as the quality control of the products or services developed in the organisation for its customers. This quality control of the exchanges between ESN users must focus on the quality of the shared knowledge for knowledge capitalisation purposes. To do this, we have proposed on the basis of an empirical study to incorporate within ESN a knowledge manager to certify the knowledge before sharing. This new ESN architecture has been validated by the success measurement model of knowledge management systems.
Journal: Int. J. of Knowledge and Learning
Pages: 16-34
Issue: 1
Volume: 15
Year: 2022
Keywords: enterprise social networks; ESNs; knowledge sharing; knowledge management system success.
File-URL: http://www.inderscience.com/link.php?id=119910
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Template-Type: ReDIF-Article 1.0
Author-Name: Safia Bendjebar
Author-X-Name-First: Safia
Author-X-Name-Last: Bendjebar
Author-Name: Yacine Lafifi
Author-X-Name-First: Yacine
Author-X-Name-Last: Lafifi
Author-Name: Hassina Seridi-Bouchelaghem
Author-X-Name-First: Hassina
Author-X-Name-Last: Seridi-Bouchelaghem
Title: An improvement of a data mining technique for early detection of at-risk learners in distance learning environments
Abstract:
The coronavirus pandemic has spread to several countries resulting in one of the largest educational disruptions in history. To address this challenge, the use of distance education in many institutions is implemented by adopting online learning platforms. The administrators of these platforms are scared off by the high number of at-risk learners. Early prediction of these learners can allow instructors to encourage them to complete their classes. Several works have explored data mining techniques to detect learners' failures. Our study is different from the existing ones in different ways: 1) it is a new approach based on the dynamic profiles of the learners; 2) it seeks to determine whether the use of a more accurate classification can be useful or not; 3) it provides a systematic comparison with other methods and works. The effectiveness of our prediction technique is assessed through the use of real data gathered from computer science courses.
Journal: Int. J. of Knowledge and Learning
Pages: 185-202
Issue: 2
Volume: 15
Year: 2022
Keywords: student prediction; student failure; educational data mining; EDM; classification; K nearest neighbours.
File-URL: http://www.inderscience.com/link.php?id=121958
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:2:p:185-202

Template-Type: ReDIF-Article 1.0
Author-Name: Laura Vall-llosera Casanovas
Author-X-Name-First: Laura Vall-llosera
Author-X-Name-Last: Casanovas
Author-Name: Rodolfo De Castro
Author-X-Name-First: Rodolfo De
Author-X-Name-Last: Castro
Title: Not everyone is an entrepreneur, but entrepreneurs are everywhere
Abstract:
As entrepreneurship drives economic development, researchers and governments are becoming increasingly interested in the fundamental role higher education might play in fostering entrepreneurial behaviour. Using a multiple correspondence analysis, three types of entrepreneur competency profiles related to gender, study path, scopes of talent and areas of study were obtained. The results show that entrepreneurial skills are transferable and can be found everywhere. These findings can be used as a basis for useful recommendations to develop more effective policies which can improve competences and better prepare future professionals.
Journal: Int. J. of Knowledge and Learning
Pages: 35-48
Issue: 1
Volume: 15
Year: 2022
Keywords: competence profiles; talent; compulsory studies; entrepreneurship.
File-URL: http://www.inderscience.com/link.php?id=119911
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Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Hjouj Btoush
Author-X-Name-First: Mohammad Hjouj
Author-X-Name-Last: Btoush
Title: Online courses quality and distance education amid COVID-19 pandemic: Al-Balqa applied university-IT faculty students' perceptions
Abstract:
The world woke up to the news of the coronavirus disease of 2019; (COVID-19) pandemic grabbing its claws on all aspects of life; bringing most human beings' activities to stand still. Jordan, as all countries, was not immune to the pandemic; academics and students had to adjust and be part of this abrupt transition by finding ways to embrace distance education, not as part of blended education, where traditional and distance forms are combined, but as a comprehensive individual means of imparting and obtaining education. The aim of this study is to measure the level of students' satisfaction in Prince Abdullah bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University: on the quality of the online courses and the distance education experience driven by the pandemic. The results of this study show that there are gender-related differences in the perceptions of the quality of the online courses and distance education.
Journal: Int. J. of Knowledge and Learning
Pages: 1-15
Issue: 1
Volume: 15
Year: 2022
Keywords: distance education; online courses; COVID-19; students' perception; gender.
File-URL: http://www.inderscience.com/link.php?id=119913
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:1:p:1-15

Template-Type: ReDIF-Article 1.0
Author-Name: Rui Gonçalves
Author-X-Name-First: Rui
Author-X-Name-Last: Gonçalves
Author-Name: Beatriz Silva
Author-X-Name-First: Beatriz
Author-X-Name-Last: Silva
Author-Name: Leandro Pereira
Author-X-Name-First: Leandro
Author-X-Name-Last: Pereira
Author-Name: Renato Lopes Da Costa
Author-X-Name-First: Renato Lopes Da
Author-X-Name-Last: Costa
Author-Name: Álvaro Dias
Author-X-Name-First: Álvaro
Author-X-Name-Last: Dias
Author-Name: Natália Teixeira
Author-X-Name-First: Natália
Author-X-Name-Last: Teixeira
Title: Analytical methods as a source of value in human resource management in consulting companies
Abstract:
Currently, the ability to analyse company information provides an advantage for any department, namely the human resources. The literary review of this article points out factors that need to be better explored and improved so that the development and implementation of analytical processes in HR can be accepted and better understood. Through the HR analytical processes, the creation of knowledge plays a central role in the entire organisation. One of the motivating factors of this research is to be able to understand what data analysis processes are being used in the HR department at consulting organisations, how they create knowledge, how they manage it, and the impact that these processes have on the areas in which they are placed. For this, a questionnaire was carried out. The results demonstrate the analytical techniques used, how the entire analysis process is developed, as well as what are the advantages of performing it.
Journal: Int. J. of Knowledge and Learning
Pages: 67-88
Issue: 1
Volume: 15
Year: 2022
Keywords: human resources; information management; strategic management; analytical models; employee retention; consulting.
File-URL: http://www.inderscience.com/link.php?id=119915
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:1:p:67-88

Template-Type: ReDIF-Article 1.0
Author-Name: Nabia Luqman Siddiquei
Author-X-Name-First: Nabia Luqman
Author-X-Name-Last: Siddiquei
Author-Name: Ruhi Khalid
Author-X-Name-First: Ruhi
Author-X-Name-Last: Khalid
Title: The learning style preferences of e-learners in Pakistan
Abstract:
E-learning is expanding rapidly across the world while educational system has influenced greatly because it is exclusively advantageous and flexible nature. The current research examines the preferred learning styles and explore the relationship between learning styles and academic achievement of e-learners in Pakistan. A sample of 609 e-learners based on a non-probability purposive sampling technique was taken from Virtual University of Pakistan. To measure learning styles, 'learning style scale for e-learners', a self-developed questionnaire was used whereas grade point average (GPA) was also reported by study participants to measure academic achievement. The results indicated that the most dominant learning style of e-learners were visual followed by auditory style and kinesthetic learning style as third most preferred style. All learning styles were positively related to academic achievement (GPA). The findings of the study would be helpful for educators, instructors, administrators, and policy makers for better understanding to develop curriculum, lesson planning and to manage teaching strategies according to their preferred learning style.
Journal: Int. J. of Knowledge and Learning
Pages: 49-66
Issue: 1
Volume: 15
Year: 2022
Keywords: e-learning; learning style; distance education; academic achievement; e-learners; Pakistan.
File-URL: http://www.inderscience.com/link.php?id=119916
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:1:p:49-66

Template-Type: ReDIF-Article 1.0
Author-Name: Kamphol Wipawayangkool
Author-X-Name-First: Kamphol
Author-X-Name-Last: Wipawayangkool
Author-Name: Juliana D. Lilly
Author-X-Name-First: Juliana D.
Author-X-Name-Last: Lilly
Author-Name: Allan Grogan
Author-X-Name-First: Allan
Author-X-Name-Last: Grogan
Title: Knowledge management strategy-based learning preferences and self-efficacy on academic performance: an online vs. face-to-face study
Abstract:
This paper examines the influences of computer and internet self-efficacy and knowledge management strategy-based learning preferences on undergraduate students' academic performance in online and face-to-face courses. Using partial least squares, we found that preference for personalisation negatively impacts online student grades (n = 63), while preference for codification negatively impacts face-to-face student grades (n = 73). The interaction between preference for personalisation and internet self-efficacy positively affects online student grades, while that between preference for codification and internet self-efficacy negatively impacts online student grades. The interaction between preference for personalisation and computer self-efficacy positively affects face-to-face student grades. These findings suggest that students preferring personalisation may perform better in a face-to-face course and students preferring codification may perform better in an online course. However, internet self-efficacy appears to help students preferring personalisation perform better in an online course. Computer self-efficacy seems to help students preferring personalisation perform better in a face-to-face course.
Journal: Int. J. of Knowledge and Learning
Pages: 165-184
Issue: 2
Volume: 15
Year: 2022
Keywords: knowledge management strategy; personalisation; codification; self-efficacy; online learning.
File-URL: http://www.inderscience.com/link.php?id=121983
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Handle: RePEc:ids:ijklea:v:15:y:2022:i:2:p:165-184

Template-Type: ReDIF-Article 1.0
Author-Name: Preeti Bhaskar
Author-X-Name-First: Preeti
Author-X-Name-Last: Bhaskar
Author-Name: Amit Joshi
Author-X-Name-First: Amit
Author-X-Name-Last: Joshi
Author-Name: Padmalosani Dayalan
Author-X-Name-First: Padmalosani
Author-X-Name-Last: Dayalan
Author-Name: Muddu Vinay
Author-X-Name-First: Muddu
Author-X-Name-Last: Vinay
Title: Investigating the barriers and motivators to MOOCs adoption: a qualitative analysis of teacher's perspective
Abstract:
MOOCs have become the buzzword in the online education industry. MOOCs offer certification and degree courses on the trending areas and provide live forums for interactions among the various strata of the society. MOOCs have been successfully adopted in developed countries but it is relatively low among the teachers in developing countries. This research aims to identifying the barriers and motivating factors affecting MOOCs adoption among teachers of higher education institutions (HEIs) in India. This research has employed an interpretative phenomenological analysis (IPA) approach to identify barriers and motivating factors of MOOCs adoption. The primary data has been collected by conducting an in-depth interview among teachers of HEIs in India. This study reveals four factors (lack of awareness, financial constraint, technological barriers and time constraints) that act as barriers and five motivating factors (professional growth, personal development, attributes of MOOCs, social influence and self-efficacy) that influence teachers to adopt MOOCs.
Journal: Int. J. of Knowledge and Learning
Pages: 120-147
Issue: 2
Volume: 15
Year: 2022
Keywords: massive open online courses; MOOCs; teachers; universities; technology adoption; barriers; motivators.
File-URL: http://www.inderscience.com/link.php?id=121989
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijklea:v:15:y:2022:i:2:p:120-147

Template-Type: ReDIF-Article 1.0
Author-Name: Debarshi Mukherjee
Author-X-Name-First: Debarshi
Author-X-Name-Last: Mukherjee
Author-Name: Khandakar Kamrul Hasan
Author-X-Name-First: Khandakar Kamrul
Author-X-Name-Last: Hasan
Author-Name: Mahasweta Saha
Author-X-Name-First: Mahasweta
Author-X-Name-Last: Saha
Author-Name: Mokhlesur Rahman
Author-X-Name-First: Mokhlesur
Author-X-Name-Last: Rahman
Author-Name: Mahfuza Nasrin
Author-X-Name-First: Mahfuza
Author-X-Name-Last: Nasrin
Author-Name: Reazul Karim
Author-X-Name-First: Reazul
Author-X-Name-Last: Karim
Title: Evolution of classrooms in primary education using a design thinking approach: the case of Rajshahi District of Bangladesh
Abstract:
The classroom is the best place to learn and engage with the students. The innovative pedagogical interventions analyse children's physical and psychological wellbeing and influence their actions to highlight the effect of the classroom environment from the obfuscation of other teaching-learning practices. The present scenario impels educators to reinvent the role of classrooms as a learning environment. This research is based on the assessment of a child's creative thinking abilities using focus group discussions of 144 primary school students of the Rajshahi district of Bangladesh. The study reveals significant changes in the behaviour and attitude of the teacher's ability to engage with the students and the student's attitude towards learning. Moreover, the children showed increased participation when they were encouraged to learn within the classroom and by using quick iterations along with an agile approach of design thinking, the classrooms evolved to provide a better environment for young learners.
Journal: Int. J. of Knowledge and Learning
Pages: 148-164
Issue: 2
Volume: 15
Year: 2022
Keywords: design thinking; pedagogy; primary education; teaching design; Bangladesh.
File-URL: http://www.inderscience.com/link.php?id=121997
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijklea:v:15:y:2022:i:2:p:148-164