Search results

This research explores the impact of the locally grown strategies for learning support, as a positive deviance (PD) study, during the COVID-19 pandemic in rural Uganda.

The researchers employed a randomized control trial (RCT) as an original design whereby 50 schools received a full package of SMS and WhatsApp peer groups of head teachers, 50 schools received SMS only and another 50 served as a control group. As an analytical method, this study adopted a difference-in-difference (DID) model to analyze the impact of the radio talk shows promoted through SMS followed by discussion among WhatsApp peer groups. The data collected in June 2021 and February 2022 were used due to the COVID-19-related data limitation of the baseline survey collected in 2019.

The authors found that the local radio talk shows as a PD intervention had a humble impact on preventing pupils’ dropout during the school closures for two years in Uganda. However, the authors did not obtain a significant result on the impact of the PD intervention on pedagogical support or learning outcomes at the school level. The authors also found that the pupils have significantly dropped their level of proficiencies in literacy and numeracy during the pandemic.

The findings could be of value for the leaders, educators and policymakers to understand the most recent update of learning situation in Uganda and the potential impact of locally grown strategies for learning which does not require external inputs.

The purpose of this paper is to examine what impacts university students perceived from their short-term intensive international courses as part of undergraduate multidisciplinary education.

The study design was informed by interpretative phenomenological analysis. Semi-structured interviews explored informants’ views of their experience to elicit key themes of their experience.

The analysis resulted in four major themes: personal development, generic skills, global perspectives and subject-specific matter. Some text segments were coded with multiple themes, which suggests that the impacts of short-term international courses are multifaceted.

Academic topics of the courses substantially centred around humanities and social sciences at a particular university. This paper furthermore primarily depended on students’ self-reported answers, and it is possible that the participants who chose to enrol in the elective international courses may be principally willing to acquire global competence. Therefore, this study did not set out to present the generalised impacts of any short-term international courses.

The findings could be used as a conceptual tool for the design and evaluation of new and existing courses. In addition, the four major themes that this study elicited are useful as a cue for students’ self-reflection about their own learning experiences.

There have been significant efforts devoted to increasing the quantity of short-term international programs, but there has been less focus on the quality of these programs. This study supports the findings of existing literature but also identified one of the potential unfavourable impacts that short-term international courses may have on students’ development.

During the COVID-19 pandemic, educational institutions were forced to shut down, causing massive disruption of the education system. This paper aims to determine the critical factors for the intention to participate in e-learning during COVID-19.

Data were collected by surveying 131 university students and structural equation modelling technique using PLS-SEM was employed to analysis the data.

The results showed that the COVID-19 related factors such as perceived challenges and COVID-19 awareness not only directly impact students' intention but also such effects are mediated through perceived usefulness and perceived ease of use of e-learning systems. However, the results showed that the educational institution's preparedness does not directly impact the intention of students to participate in e-learning during COVID-19. The results also showed that the gender and length of the use of e-learning systems impact students' e-learning systems use.

These results demonstrated that, regardless of how well the educational institutions are prepared to promote the use of e-learning systems, other COVID-19-related challenges play a crucial role in forming the intention of students to participate in e-learning during the COVID-19 pandemic. Theoretical and practical implications are provided.

This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited literature available on this subject in India, especially factoring in impact of the pandemic.

This study empirically analyses data of 331 adult e-learners in India, who have enrolled for one of the following e-learning formats: higher education, private coaching, test preparation, re-skilling and online certifications, corporate training and hobby and language-related learning. Their perception is examined on the basis of a model developed using the Unified Theory of Acceptance and Use of Technology model. Data are analysed through structural equation modelling using SPSS and AMOS statistical tools.

The result of the study shows that Infrastructure Dependability, Effectiveness of Design and Content of Courses and Student's Competency with Computers are the top three factors impacting e-learning acceptance in India.

This study makes several theoretical contributions. Additionally, research findings and recommendations will facilitate education providers, corporates in the education industry and policymakers to focus on the significant areas for enhancing the acceptance of e-learning.

This study identifies and confirms important factors that influence e-learning acceptance and suggests opportunities for further in-depth research and analysis.

Students entering Zayed University are expected to become active participants in their learning. However, the majority of these students have come from a public education system that is recognized to focus on teacher-centered passive learning. Students may be unprepared for this transition. This paper reports on a case study of changes in performance and motivation for students transitioning from passive learning to active learning.

Three students from the public education system were followed through two consecutive courses employing increasing active learning. Methods included observations, surveys, and interviews. Results indicate that the initial transition from passive learning to active learning has a negative impact, mainly due to inadequate preparation. However, subsequent development of skills through exposure results in improvement to the extent that motivation and performance exceed high school levels. It is concluded that the transition from active learning has the capacity to greatly improve student achievement if properly managed.

The purpose of this paper is to explore and establish the contours of trust in learning analytics and to establish steps that institutions might take to address the “trust deficit” in learning analytics.

“Trust” has always been part and parcel of learning analytics research and practice, but concerns around privacy, bias, the increasing reach of learning analytics, the “black box” of artificial intelligence and the commercialization of teaching and learning suggest that we should not take stakeholder trust for granted. While there have been attempts to explore and map students’ and staff perceptions of trust, there is no agreement on the contours of trust. Thirty-one experts in learning analytics research participated in a qualitative Delphi study.

This study achieved agreement on a working definition of trust in learning analytics, and on factors that impact on trusting data, trusting institutional understandings of student success and the design and implementation of learning analytics. In addition, it identifies those factors that might increase levels of trust in learning analytics for students, faculty and broader.

The study is based on expert opinions as such there is a limitation of how much it is of a true consensus.

Trust cannot be assumed is taken for granted. This study is original because it establishes a number of concerns around the trustworthiness of learning analytics in respect of how data and student learning journeys are understood, and how institutions can address the “trust deficit” in learning analytics.

In today’s business world, competition is no longer about resources accumulated, but the emphasis is now placed more on the actual accumulation and utilization of knowledge within the organization. Attention has shifted drastically from just acquiring wealth in the organization to an era where knowledge and learning within the organization becomes more critical and important to the organizational survival and continuous growth as put forward by this paper. This paper investigated the effect of organizational learning and effectiveness on operations, employee productivity and management performance. This paper aims to add to scholarly works and knowledge on organizational learning.

Random and stratified sampling techniques were used. Data collection was done with the use of a questionnaire and analyzed using confirmatory factor analysis and hierarchical multiple regression.

The result from the data analyzed shows that there is a positive relationship between organizational learning and effectiveness, operations, employees’ productivity and management performance suggesting that organization learning impact is encompassing because it affects and influences the effectiveness and efficiency of all the staff at every level within the organization.

Organizations should strive and do everything possible to ensure organizational learning because this study is in an era where knowledge and learning within the organization are more critical and important to organizational survival and continuous growth.

The study demonstrates that the only way to fast-track growth in every sphere of the organization is to ensure organizational learning as it influences the effectiveness and efficiency of all the staff at every level within the organization.

The purpose of this paper is to examine the impact of work-based research projects at postgraduate level. The focus of this paper is to measure the impact of masters- and doctoral-level work-based projects which was the specific contribution of one group of researchers to the Nixon et al.’s (2008) study.

This paper is based on data generated as part of a wider study that examines the impact of work-based learning projects across undergraduate through to doctoral level from the perspective of employers and from the employees perspective. The research study is based on a sample of alumni who had graduated from work-based masters and professional doctorate programmes and their corresponding employers in a UK higher education institution.

At masters and doctorate level the work-based project can often make an impact on the work context and also have a developmental effect on the employee who becomes a practitioner-researcher to undertake the project.

This paper finds that work-based projects are often an investment that companies make that have the propensity to yield tangible business success as well as providing an incentive for key staff to remain in the company and achieve university recognition.

Students' satisfaction with e-learning outcomes is a vital component in determining the adoption of e-learning systems. Understanding the antecedent factors impacting students' satisfaction with e-learning outcomes helps decision-makers at the higher education to take the necessary actions to enhance the quality of students' performance, especially during the exceptional times, such as the COVID-19 pandemic.

This paper aims to determine and analyse the antecedent factors influencing students' satisfaction with e-learning outcomes during the pandemic. Structural equation modelling (SEM) is used to analysis a proposed research model.

The SEM results show that digital communities in e-learning, information technology (quality and accessibility) and the online course design quality directly influence students' satisfaction with e-learning outcomes. More interestingly, results show that the COVID-19-related factors (1) awareness of the COVID-19, (2) perceived challenges (negatively) and (3) the educational institutions' preparedness also influence e-learning outcomes.

The results suggest that the decision-makers at the educational institutions should consider adopting a blended learning system approach to deliver e-learning during the emergency, such as the COVID-19 outbreak situation.

This is one of the first studies in higher education context, which seek to identify the antecedent factors that influence students' satisfaction with e-learning outcomes during the COVID-19 pandemic.