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The University of Mauritius (UoM) established as a traditional face-to-face university has been engaged in distance education since 1993 and in e-learning since 2001 to establish itself as a dual-mode institution. In a context where it has engaged itself to promote its internationalization of online courses and a digital learning transformation process, there is a need to assess and evaluate its current e-learning capability to identify areas of good practices and opportunities for improvement to ensure a high quality of e-learning provisions. The paper reports the results of an assessment of the e-learning capability and the related quality assurance processes of the University of the Mauritius using the e-learning Maturity Model (eMM). Quality assurance in higher education is still a key issue, especially with the ever-growing influence of technology and the disruption that the Internet has caused with respect to e-learning and distance education provisions. No university in Mauritius has ever engaged in such an assessment of their e-learning capabilities.

The EMM and the Open Learning Consortium Quality Scorecard Suite were found to be the most complete models in terms of available documentation and description of how to carry out the evaluation with respect to each process area as compared to the other models described in the literature review section. The EMM was, however, chosen as the model to be used for the UoM, given that there already exists a body of knowledge about its applications in different universities that operate in similar contexts. The researcher is at the heart of the process in the role of an ‘eLearning quality auditor’. Therefore, the research used mainly desk studies, and analysis of annual reports as well as a consultative approach with key stakeholders based on a consensus model to reach a rating for each element in the EMMv2.3 instrument. The rating is based on evidence that is available and verifiable through desk research and documentation.

We found out that the main strengths of the university were in the learning process areas mainly because of the need to follow existing quality assurance procedures in place at different phases of a course of life cycle, irrespective of the course modality. On the other hand, across all process areas, the university fared well in the delivery dimension, and this finding is consistent with other universities that were assessed using the EMM. However, it was found that the EMM in current form was more adapted for the assessment of universities operating fully as open or virtual universities rather than those operating as dual-mode institutions or as traditional universities promoting technology-enabled learning. The weakest link was the optimization dimension across all process areas, and the process area that needs more attention for improvement was the evaluation process area. Overall, the university can reasonably be pitched at level two (Repeatable) of the capability maturity model scale used for information systems maturity assessment, but operating towards level three (Defined).

The work presented here has never been carried out for any university in Mauritius, and there have been no reported evaluations or applications within the African region. It allows the university to benchmark and compare its standing with respect to other universities operating as dual-mode institutions and as a reference for other universities in Mauritius as well.

The conceptual and modularization of project management maturity models is based on the principle of process control. This research was designed to challenge these boundaries to reveal non-process factors. The paper aims to discuss these issues.

A multimethod research design was used with a “qual⇒Qual” sequence. This is a development in MM design theory, with its reliance on an initial qualitative stage that, despite being first, is insufficient to collecting sufficient data to answer the research question. A second stage, involving a more dominant qualitative, is necessary.

Multiple non-process factors are attributed to a mature project management capability responsible for undefined projects. They include “human factors” such as trust, attitude, motivation and attitude, along with increased customer involvement and a more adaptable organizational environment.

The challenge put forward in this research was for project management maturity theorists to recognize the possibility of finding maturity in a project management capability responsible for undefined projects. This challenge has been met. The focus can now turn to other environments where other project types (undefined or not) are also being managed using processes (and/or practices) that are not necessarily definable, repeatable, predictable and unique to that setting.

An adaptable model has been created that contains multiple factors that can be used in their current relationships or changed to accommodate multiple project and project management scenarios. Further work will create weights for each factor that will further specify the relative value of each, thereby enhancing the adaptable nature of the model.

The purpose of this paper is to report on the findings of a doctoral thesis examining the limitations of project management maturity and associated models. It examines the management of undefined projects where the definition, repeatability and predictability of processes cannot be reasonably expected. The challenge to project management maturity theorists is to recognize the possibility of project management maturity in an environment characterized by undefined project elements and the requirement for greater flexibility in their management.

This inquiry was supported by a multimethod (MXM) research design with two stages: a content/textual analysis of two different collections of maturity models, and an exploratory case study of two university sites. The analysis (supported by grounded theory techniques) contributed to the development of a 4‐node conceptual framework that was used as the primary data collection instrument at two Canadian university sites.

Results indicate that multiple non‐process factors can contribute to a mature project management capability. These can include context‐specific values, specialized bodies of knowledge (instructional design), customer involvement, third‐party influence, and tacit “human factors” such as trust and creativity. The demands of this inquiry also demonstrated the need for a new data collection sequence in multimethod research design theory.

Practitioners are encouraged to consider customer involvement, organizational dynamics and adaptable variables such as leadership (among other non‐process factors) in their assessment of the maturity of their project management capability, and designers of future models could explore a multi‐dimensional approach that includes context‐specific factors to assessing and defining project management maturity.

This research expands the conceptual view and practical assessment of project management maturity; offers new analysis of the current generation of project management maturity models; documents e‐Learning project management; and defines a new data collection sequencing model.

The paper reports on findings of research into the institutional and individual influences on engaging in professional development (PD), reflecting on how PD might be made available in ways which could support quality in e‐learning.

The paper presents findings of a research project exploring factors influencing engagement in e‐learning PD within New Zealand tertiary education institutions. The research comprised an online survey of 408 individuals in three polytechnics and two universities and 40 qualitative interviews ascertaining beliefs, experiences and practices of staff regarding e‐learning PD.

The survey and interviews suggest there are numerous factors which both help and hinder quality of engagement in e‐learning PD. Most PD engaged in by staff is informal. Engagement in formal PD is influenced by organisational structure, co‐ordination, poorly developed and/or implemented e‐learning policy, differences in managerial support, and individual beliefs and time allocation.

The research is conducted in a small number of tertiary institutions and may not be applicable to private or work‐based training organisations.

Understanding impacts and influences on individual uptake and experiences of PD provides insights into the sorts of institutional practices and policies likely to improve quality in e‐learning and in e‐learning PD.

By focussing on staff experiences, this paper provides important insights into practical considerations informing the development of e‐learning quality enhancement and assurance strategies.

The paper aims to focus on the University of Glamorgan benchmarking activity aimed at assessing its progress towards the embedding of e‐learning. This activity was part of a wider UK benchmarking exercise managed by the Higher Education Academy and the Joint Information Systems Committee.

The university opted to trial the MIT90s framework; a framework developed at the Massachusetts Institute of Technology (MIT) that was designed to encourage organisations to understand the dynamics of transformation vis‐à‐vis the acquisition of technology. The MIT90s framework had not previously been associated with the benchmarking of e‐learning and this paper is case study evidence on the experiences of trialling the framework.

Benchmarking e‐learning, and using the MIT90s framework in particular, is not a trivial exercise. Adapting a model with roots in IT/ICT towards more pedagogic‐related activities was a challenging, yet rewarding, process. Applying the framework stimulated strong debate during the project – namely whether it was advisable to benchmark e‐learning as a separate entity to more conventional learning and teaching practices. The framework highlighted some areas of disconnection between activity and institutional vision and strategy related to e‐learning.

Applying the MIT90s framework to benchmark e‐learning needs to be continuous and over a longer period than the six months described in this paper.

The greatest advantage of the MIT90s framework is that it allowed the project team to benchmark progress against the institutional strategy for teaching and learning, rather than against other institutions' activity. It also enabled the senior management of the university make better sense of the interconnections between strategy, vision and practice.

The paper outlines the MIT90s framework which had never previously been used as a tool to benchmark e‐learning.

Higher inclusion rate of different media types within technology‐supported learning scenarios is becoming more necessary for higher education, as it seeks to attract more technologically‐minded students and still offer effective learning. An ‘off‐the‐shelf’ model is needed, for making third‐party, non‐text‐based, electronic resources available to academic staff who are building courses, but is shown to still be some way off. Ideally this type of model should allow independent, legal use of such resources by academic staff who rely predominantly on standardised forms of organisational services. When achieved, less‐intensive day‐to‐day support should be required per learning scenario developed so that use of different media types becomes more scaleable than at present. This paper specifically concentrates on aspects related to time‐based media (TBM).

The purpose of this study is to investigate the effect of factors associated with e‐learning, particularly computer attitudes and usability, on transfer of training in workplace e‐learning courses.

This study relied on quantitative data obtained from four online survey questionnaires. The sample of this study was 47 learners who took either one soft‐skill e‐learning course or one hard‐skill e‐learning course in a selected company and their supervisors.

The results demonstrated that learners' computer attitudes impact their perception of the usability of the e‐learning courses, and that this perception influences the degree of their transfer of training. The results imply that when learners come to an e‐learning class with positive attitudes toward computers, they feel the e‐learning course system to be more satisfactory and efficient, and accordingly they can better transfer what they have learned to job performance.

The sample of this study is limited. Further research studies with various learners should be conducted. Additionally, the measure of transfer merely relied on their perception of it. Further studies should give more attention to the multifaceted measures of the actual transfer. Finally, further research should be conducted to examine other general factors pertaining to the transfer of training in e‐learning settings in addition to computer attitudes and usability.

The study expands the knowledge base regarding transfer of training by focusing on e‐learning, which is rapidly growing and receiving great attention in the workplace, and thus contributes to the establishment of a more comprehensive model of transfer of training.

Due to the growing complexity involved in leveraging the endless possibilities of ICT on all levels, the technical competence of faculties of higher education institutions (HEI) and effective methods for fostering e-readiness has become questionable.

This research has developed and validated an empirically supported e-readiness scale, which can be used by HEIs to assess faculty members’ preparedness toward online teaching. The measurement model and the structural model were developed as the results of exploratory factor analysis and confirmatory factor analysis (n = 245). The previously identified components and their indicators were validated using the structural models and the final scale was developed with five dimensions (“online technological readiness, pedagogical readiness, institutional readiness, learning and delivery readiness and content readiness”).

The faculties’ e-readiness assessment tool, as a useful tool, could aid institutions in identifying problems that affect the implementation of e-learning or digitalization in the institutions and developing strategies in response.

Like any research this research also has some limitations and can be considered as future research probability like the responses for this research were collected from HEI in India; however, a cross-cultural study can be conducted to understand the parameters across the globe. Although the psychometric qualities of the e-readiness scale are acceptable, additional research in various higher educational environments, both nationally and internationally, is required to further establish the scale’s relevance, validation and generalizability.

Although many scales have been developed to assess the readiness level in the education sector, a scale, that holistically measures, the readiness level of faculties from an overall perspective was required. This scale can be used to recognize the e-readiness level of teachers in HEIs. This scale can also help the institutions assess the readiness level of their faculty members and address any improvements required in their teaching and learning pedagogy, further acknowledging training needs.

There are many challenges in the development of a digital library (DL) and their complexity can be approached effectively with a maturity model. In a maturity model, the features of a phenomenon are divided into different levels and at each level, they are first improved before going on to the improvement or realization of the next level. The purpose of this study is to design a digital library maturity model (DLMM) in Iran.

The DLMM was designed using a qualitative approach, meta-synthesis and the Delphi technique. First, the maturity features of a DL were identified by assessing 68 sources of study concerning DLs and maturity models using meta-synthesis. The maturity features were then validated by experts using the three-round Delphi technique. Finally, the experts were asked to categorize these features into the five levels of the capability maturity model (CMM) as the base model.

By analyzing these sources, three categories, seven concepts and 35 codes for the maturity features of a DL were identified. The majority of previous studies focused on the use of hardware/software systems as the backup and empowerment of DLs and the concept of DL content. The maturity features were then validated by experts using the three-round Delphi technique. Like the base model, DLMM has five levels, and most features were categorized into the third and fourth levels by the experts. Features such as human resources, needs assessment of DL and readiness to create a DL were included in the second level.

This work adds the concept of the maturity model to the literature of DLs.

Although active learning methodologies are recognized as an effective means to achieve expected educational demands, in practice, the teaching and learning processes are still widely characterized by traditional pedagogy aspects. As a result, teaching innovations in science, technology, engineering and math (STEM) education are carried out in isolation in specific disciplines, programs or departments. To addresses these challenges and to stimulate useful teaching innovations, this study aims to propose the capability maturity model to active learning (CMMAL) for assessing the maturity level of active learning methodologies in higher education institutions (HEIs).

The CMMAL provides inputs for planning and decision-making, identifying variables such as the current state of teaching and learning processes, project management, team development, allocation of resources and infrastructure and the choice of evaluation and assessment methods. From the relevant literature, the primary aspects that impact on active learning were identified and incorporated into the structure of the model. Next, a survey was performed with 295 STEM professors and experts validating the scope of the model proposed.

The findings demonstrated the contribution of the CMMAL mainly to (1) assess the maturity levels of active methodologies in higher education and (2) stimulate the institutionalization of active learning practices in HEIs to minimize some problems related to the dissemination of new teaching practices.

The primary practical and academic contribution of our study is the proposition of an artifact with a scope compatible with the need of the HEIs for the implementation of active learning methodologies. This paper presents a different perspective of current literature in active learning in STEM education, introducing a model that contributes to open the dialogue with HEIs interested in better understand and improve the performance in student-centered pedagogy.

The model also informs and leads to specific recommendations for HEIs seeking to enhance the performance of and alter the culture around active learning methodologies.