International Journal of Learning Spaces Studies

Abstract This qualitative study investigates the dual perspectives of students and supervisors on factors affecting timely completion of evening postgraduate programmes in Tanzanian higher education. Using a phenomenological approach, the study specifically explores the unique challenges encountered by both evening postgraduate students and their supervisors during the dissertation writing process. The research was guided by Tinto's Student Integration Model and employed purposive sampling to select participants including six evening postgraduate students who had been pursuing their masters for five years and their respective six supervisors. Data were collected through in-depth interviews and document analysis, with thematic analysis used for interpretation. The findings reveal contrasting perspectives between students and supervisors. While students highlighted work-study balance difficulties, financial constraints, and skill mismatches as primary challenges, supervisors emphasized student commitment issues and delays in accommodating feedback. This perspective gap contributes to delayed completion rates. The study recommends enhanced communication protocols between students and supervisors, structured time management frameworks, and institutional support mechanisms tailored to the unique needs of evening programme students. This research contributes to understanding the dyadic nature of supervision challenges in part-time postgraduate education in Tanzania.

Abstract This study investigated the determinants of students' use of LMS within the distinctive context of an ODL-based university post-COVID-19 in Nigeria. The Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), and Unified Theory of Acceptance and Use of Technology (UTAUT) were integrated as the theoretical framework for the study. A quantitative research design was adopted, and 120 students participated in the study. Data were collected using an e-survey, and a Structural Equation Modelling (SEM) technique was used to analyse the data. The results of the study indicate that perceived usefulness (slope = 0.79, p < 0.001), perceived ease of use (slope = 0.86, p < 0.001), and digital literacy (slope = 0.81, p < 0.001) significantly influenced attitudes toward LMS use. Also, performance expectancy (slope = 0.37, p<0.00), effort expectancy (slope = 0.60, p<0.00), social influence (slope = 0.62, p<0.00) and facilitating conditions (slope = 0.70, p<0.00) significantly predicted students' intention. Further, facilitating conditions (slope = 0.59, p<0.00) and intention (slope = 0.57, p<0.00) significantly influence LMS use behaviour. Based on these results, it was recommended that LMS design and implementation in the university should focus on creating an LMS that is intuitive, user-friendly and aligns with students' academic needs. This will make navigation of the platform easy for the students. Thus, enhancing their attitude, intention and use of the LMS for learning post-COVID.

Abstract This academic article presents the Poll Lab Model, an innovative practice-based learning approach developed by Suan Dusit Poll, Suan Dusit University. The model operates under the conceptual framework of "One World Library (OWL) to The University", which aims to transform university spaces into a learning ecosystem. The Poll Lab Model is grounded in five core principles, namely, experiential learning, knowledge sharing, collaborative learning, professional skill development, and the utilization of campus learning spaces. The model emphasizes the enhancement of Attitudes, Skills, and Knowledge (ASK) through hands-on practice, real data application, and expert engagement. It also aligns learning management with the Sustainable Development Goals (SDGs). An analysis of eight learning activities conducted in the Poll Lab space between July and December 2024, involving 181 participants, revealed statistically significant improvements in participants’ attitudes, skills, and knowledge. The overall satisfaction score averaged 4.56 out of 5, equivalent to 92.18%, indicating a high level of satisfaction. Key findings suggest that a practice-based learning environment that integrates real data, knowledge exchange, and interdisciplinary collaboration can enhance both learning outcomes and learner satisfaction. Additionally, this article compares the Poll Lab Model with international practices such as the MIT Media Lab, Stanford d.school, and the Learning Environments Applied Research Network (LEaRN) at the University of Melbourne. The comparison highlights the model’s potential for broader application in other higher education contexts.

Abstract The aim of this research is to study the future of IT Service Management (ITSM) with the goal of implementing e-governance in the country, focusing on the interactions between various factors.
This research is applied in terms of its objective and exploratory in nature. The participants in the study consisted of 15 experts in technology and information management, selected through purposive sampling of a judgmental type. Cross-impact analysis and the MICMAC software were used for data processing.
The effective drivers of IT Service Management (ITSM) aimed at implementing e-governance were categorized in this research. These drivers include: executive role, authoritative role, transparency procedures, ITSM procedures, electronic citizen engagement, electronic social interaction, organizational interaction, digital social components, environmental components, development of ITSM applications, role of government institutions, role of private institutions, complexity of collaboration, project goal orientation, investment in digital infrastructure, data sharing management, digital attitude change, transparency of digital knowledge, standardization of data digitization, digital technical infrastructure, human resources infrastructure, financial infrastructure, international aspects, and national aspects
Four scenarios were identified: comprehensive digital transformation and widespread adoption, limited progress due to cultural and structural challenges, digital innovation with data management and advanced collaboration, and a crisis of inefficiency and high complexity. To achieve the desired scenario, there is a need for careful planning, coordination among government entities, and the development of necessary infrastructure so that governments can provide efficient, fast, and reliable services to citizens.

Abstract Combining the two important areas of knowledge management and customer relationship management has been proposed as a new approach that can create a platform for interactive learning spaces between the organization and customers. These interactive learning spaces not only lead to promoting innovation and increasing value creation, but also play an important role in improving customer experience and creating sustainable loyalty. The aim of the research was to combine knowledge management and customer relationship management to create interactive learning spaces. Therefore, this research was conducted qualitatively and with the content analysis technique. Based on the semi-structured interview tool, the initial codes were identified in the Maxqda software. The statistical population includes senior and executive managers of Saipa Automobile Company; senior marketing and public relations managers and experts, and academic experts with relevant scientific backgrounds, who were selected using theoretical sampling. In the present study, the opinions of 12 people were collected through 12 semi-structured interviews until theoretical saturation was reached. The two dimensions of customer knowledge and customer relationship management were identified based on three main components.

Abstract The aim of the present study was to identify a transformative cultural policy-making model with an organizational learning approach and cultural rethinking based on an interpretive structural model. This study is developmental-applied in terms of its purpose, because the researcher seeks to present a model with a combined approach of interpretive structural modeling and fuzzy Delphi. The method used in this study is a combined method that includes the historical method (data collection) and the survey method (questionnaire distribution). Also, articles, books, and reliable sources available to the researcher were used to collect and write the theoretical foundations of the research. The population and statistical sample of this study are financial experts, professors, and researchers in the field of organizational management. The sampling method is purposive. The methods used in this study are Delphi techniques and interpretive structural model. The software used was EXCEL and MICMAC. 9 indicators were identified. These indicators include: motivating and inspiring employees in transformative policymaking, organizational evaluation and learning, participatory and consensus policymaking, modernity and transformation in cultural policy, organizational cultural resilience, creating capacities for cultural diplomacy and international communications, social participation and dynamism in cultural policymaking, strengthening and consolidating indigenous-national identity in a global context. The research findings showed that the transformative cultural policymaking model in the context of Iranian cultural organizations is based on nine key indicators, each of which plays an effective role in realizing organizational learning, cultural rethinking, and sustainable transformation.