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1 – 10 of over 1000Albanë Gashi, Genc Zhushi and Besnik Krasniqi
This paper aims at identifying crucial factors that affect student satisfaction with synchronous e-learning. For this purpose, a research model comprised of perceived usefulness…
Abstract
Purpose
This paper aims at identifying crucial factors that affect student satisfaction with synchronous e-learning. For this purpose, a research model comprised of perceived usefulness (PU), perceived ease of use (PEU), computer anxiety (CA), self-efficacy (SE), system accessibility (SA), perceived interaction (PI) and perceived flexibility (PF) was developed.
Design/methodology/approach
For the purpose of this research, an online questionnaire was used. All of the measures are adapted from previously validated instruments and adjusted to fit the research aim. Accordingly, the questionnaire resulted in 49 items, which yielded eight constructs. To test the hypothesized model, structural equation modeling was employed on a valid sample of 263 higher education students.
Findings
According to the results, PU, PI, CA and flexibility were all found to be significant. PU demonstrated the most contribution following by PF and PI.
Research limitations/implications
Even though this study has included some critical factors theorized to influence e-learning settings, it does not incorporate all elements. In terms of sample size, a bigger sample would be more favorable. Lastly, the study took place during the COVID-19 pandemic, where free movement and social activities were restricted, which may have influenced students' perception of synchronous e-learning.
Practical implications
This research contributes to a greater understanding of the student experience with synchronous e-learning, and its findings can provide relevant stakeholders, particularly e-learning practitioners, with insights into effectively adopting and improving such settings.
Originality/value
This study uses an integrated model of several constructs to investigate student satisfaction in terms of just synchronous e-learning rather than e-learning in general. Several validated instruments were used and tested in a new context and sample. Additionally, the study provides evidence during COVID-19.
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Adil Baykasoglu, Burcu Felekoglu and Ceylin Ünal
Usage of learning management systems (LMSs) has become widespread with the disruption of face-to-face educations after the COVID-19 pandemic. There are several software products…
Abstract
Purpose
Usage of learning management systems (LMSs) has become widespread with the disruption of face-to-face educations after the COVID-19 pandemic. There are several software products, usually named as LMS to enable and support distance education. However, selection of a suitable LMS is a complex multiple criteria decision making (MCDM) problem that requires consideration of many criteria and inputs from different parties like students, academicians, education managers, etc. Usability evaluation of LMS is one of the critical steps in deciding which LMS system to be adapted. There are several studies related to usability evaluation of LMS in the literature, but utilization of MCDM methods and real life case studies are very rare. Based on this motivation, perceived usability evaluation of SAKAI-LMS that is in use at an academic department is performed by employing axiomatic design procedure (ADP). This paper aims to discuss the aforementioned issues.
Design/methodology/approach
ADP is considered as a suitable MCDM method for perceived usability evaluation as it allows an easy approach to data fusion and setting performance targets for decision makers. A questionnaire is developed to collect data from three types of system users about predetermined usability criteria and their importance. After detailed statistical analyses and weighting criteria via analytical hierarch process (AHP), ADP is carried out to evaluate usability of the LMS.
Findings
It is found that the proposed ADP based approach is easy to apply in practical circumstances and able to quantify perceived usability of the LMSs.
Research limitations/implications
The proposed approach provides an easy and practical evaluation of perceived usability of the LMSs for decision makers who are responsible for the implementation of LMSs. The developed novel and practical MCDM-based perceived usability approach for LMS in this study has been verified through a real life case study at an academic department. Perceived usability results, therefore, reflects only the views of this focus group and are not generalizable.
Originality/value
First time in the literature, a comprehensive ADP based MCDM approach is proposed based on the analyses of the related literature and information gathered from the system users.
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Jyoti Mudkanna Gavhane and Reena Pagare
The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).
Abstract
Purpose
The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).
Design/methodology/approach
The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.
Findings
Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.
Originality/value
Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.
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Tetiana Hranchak, Nicholas Dease and Irene Lopatovska
This study aims to determine college/university students’ mobile phone practices to understand key user preferences and set a baseline understanding for the development of…
Abstract
Purpose
This study aims to determine college/university students’ mobile phone practices to understand key user preferences and set a baseline understanding for the development of prospective library informational mobile services.
Design/methodology/approach
This study is based on the results of an online-survey method. The authors recruited students majoring in the Information Science program in School of Information at Pratt Institute (USA) (74 participants) and in Kyiv National University of Cultural and Arts (Ukraine) (89 participants).
Findings
The general trends in the use of mobile technologies by American and Ukrainian students were identified. Key components of library mobile services are offered. Such services may include information and reference service via messengers; development of library mobile applications of audio and video content; access to educational, scientific, popular science literature and fiction; and supplementing online services with library chatbots.
Research limitations/implications
This study was limited to only students majoring in information science at university; however, the data obtained helps outline several general trends common to student youth who are actively working with information.
Practical implications
The obtained results will be useful in the practical activities of libraries and other information institutions for the development of a comprehensive information service based on mobile technology.
Originality/value
This study contributes to understanding how to improve library informational service considering users habits and preferences. Libraries management and librarians can use the findings as a basis for prioritizing the improvement of library informational mobile service.
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Sze Ling Ng, Sajad Rezaei, Naser Valaei and Mohammad Iranmanesh
The objective of this study is to examine the drivers of retail apps satisfaction and continuance intention. An integrative theoretical framework was developed based on the IS…
Abstract
Purpose
The objective of this study is to examine the drivers of retail apps satisfaction and continuance intention. An integrative theoretical framework was developed based on the IS success model, E-S-QUAL and expectancy and disconfirmation model to explain retail apps users’ satisfaction and continuance intention.
Design/methodology/approach
A total of 359 useable data were collected from the targeted Malaysian respondents who had experience in using retail apps services. Data were analysed using the partial least squares technique.
Findings
The results indicate that system quality and e-service quality positively influence retail apps usage satisfaction and have positive direct and indirect effects through satisfaction on continuance intention. The price level has a negative effect on retail apps usage satisfaction. Even though price level has no direct effect on continuance intention to use retail apps, it has an indirect effect on continuance intention through satisfaction.
Originality/value
Although the success of a marketing channel mainly depends on its continuance usage rather than first-time usage, few studies have paid attention to retail apps services. This study contributes to the advancement of knowledge on retail apps by explaining the roles of system quality, e-service quality and price level on retail apps satisfaction and continuance intention. Interestingly, the findings of multi-group analysis imply that female Gen Y app users are more satisfied than males while such differences do not impact their continuance intention to use the retail apps. The findings also suggested that frequency of using apps has no relevance to retail apps user satisfaction, but highly relevant to their continuance intention to use retail Apps services.
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Nehemia Sugianto, Dian Tjondronegoro, Rosemary Stockdale and Elizabeth Irenne Yuwono
The paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.
Abstract
Purpose
The paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.
Design/methodology/approach
The paper proposes a new Responsible Artificial Intelligence Implementation Framework to guide the proposed solution's design and development. It defines responsible artificial intelligence criteria that the solution needs to meet and provides checklists to enforce the criteria throughout the process. To preserve data privacy, the proposed system incorporates a federated learning approach to allow computation performed on edge devices to limit sensitive and identifiable data movement and eliminate the dependency of cloud computing at a central server.
Findings
The proposed system is evaluated through a case study of monitoring social distancing at an airport. The results discuss how the system can fully address the case study's requirements in terms of its reliability, its usefulness when deployed to the airport's cameras, and its compliance with responsible artificial intelligence.
Originality/value
The paper makes three contributions. First, it proposes a real-time social distancing breach detection system on edge that extends from a combination of cutting-edge people detection and tracking algorithms to achieve robust performance. Second, it proposes a design approach to develop responsible artificial intelligence in video surveillance contexts. Third, it presents results and discussion from a comprehensive evaluation in the context of a case study at an airport to demonstrate the proposed system's robust performance and practical usefulness.
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Riddhi Thavi, Rujuta Jhaveri, Vaibhav Narwane, Bhaskar Gardas and Nima Jafari Navimipour
This paper aims to provide a literature review on the cloud-based platforms for the education sectors. The several aspects of cloud computing adoption in education…
Abstract
Purpose
This paper aims to provide a literature review on the cloud-based platforms for the education sectors. The several aspects of cloud computing adoption in education, remote/distance learning and the application of cloud-based design and manufacturing (CBDM) have been studied and theorised.
Design/methodology/approach
A four-step methodology was adopted to analyse and categorise the papers obtained through various search engines. Out of 429 research articles, 72 papers were shortlisted for the detailed analysis.
Findings
Many factors that influence cloud computing technology adoption in the education sector have been identified in this paper. The research findings on several research items have been tabulated and discussed. Based on the theoretical research done on cloud computing for education, cloud computing for remote/distance learning and CBDM, cloud computing could enhance the educational systems in mainly developing countries and improve the scope for remote/distance learning.
Research limitations/implications
This study is limited to papers published only in the past decade from 2011 to 2020. Besides, this review was unable to include journal articles published in different languages. Nevertheless, for the effective teaching and learning process, this paper could help understand the importance and improve the process of adopting cloud computing concepts in educational universities and platforms.
Originality/value
This study is a novel one as a research review constituting cloud computing applications in education and extended for remote/distance learning and CBDM, which have not been studied in the existing knowledge base.
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Şeyma Şahin and Abdurrahman Kılıç
The ultimate objective of this study is to compare the impact of face-to-face and online flipped learning on students' academic achievements and their perspectives on learning and…
Abstract
Purpose
The ultimate objective of this study is to compare the impact of face-to-face and online flipped learning on students' academic achievements and their perspectives on learning and teaching, offering valuable insights to the field.
Design/methodology/approach
The study utilized a quasi-experimental research method that involves pre-test and post-test control groups.
Findings
The results indicated that face-to-face and online flipped learning positively impacted learning, with comparable contributions to academic achievement. However, we found that online flipped learning did not affect students' beliefs about learning and teaching, while face-to-face flipped learning positively influenced them.
Originality/value
As distance learning becomes increasingly important in our modern era, this research aims to explore the use of active learning methods, including discussion, writing, animation, drawing, association, analysis, knowledge measurement and games, in virtual learning environments, such as online flipped learning. The study seeks to enhance the existing literature on the impact of face-to-face and online flipped learning models on student success. Additionally, it aims to address a significant gap in the literature by determining the effect of these models on students' epistemological and pedagogical beliefs, which can impact their motivation, learning outcomes, academic achievements and decision-making processes.
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Angela Yung Chi Hou, Christopher Hong-Yi Tao, Kyle Zi-Wei Zhou, Arianna Fang Yu Lin, Edward Hung Cheng Su and Ying Chen
In 2022, the International Network for Quality Assurance (QA) Agencies in Higher Education (INQAAHE) published the new guidelines by adding three QA modules in response to the…
Abstract
Purpose
In 2022, the International Network for Quality Assurance (QA) Agencies in Higher Education (INQAAHE) published the new guidelines by adding three QA modules in response to the changing higher education landscape. The paper aims to investigate the transformative focus of quality assurance in higher education globally as well as Asian response to three new QA modules according to the INQAAHE ISGs.
Design/methodology/approach
The research conducted a quantitative approach for data collection. An on-line survey was conducted to perceive QA practices, perceptions toward new emerging QA modules and challenges encountered. In total, there were 26 responses from 18 territories with 22 QA agencies. A total of 13 out of them have a national qualifications framework in place.
Findings
Three are three major findings in the study. First, national policy and criteria and standards in distance education have been developed in the majority of Asian nations. Second, non-signatories of the Tokyo Convention had a higher proportion of having related policies, regulations and criteria in CBHE and distance education. Third, national policies and regulations; and lack of professional staff are two common challenges implementing QA in new types of providers.
Originality/value
The findings are of value for policymakers, QA agencies and universities to advocate the new QA model as a systematic approach in response to changing higher education landscape in the post pandemic era.
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