Thashmee Karunaratne

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• PhD
• Associate Professor at KTH Royal Institute of Technology

Implementing electronic health services with a patient-centric focus while adapting to the know-how of local contexts is a challenge. This paper addresses this challenge by establishing a template of modular requirements for designing a viable Electronic Health Record (EHR) system that enables transmission and sharing of patient data across primary...

The emergence of autonomous learning has revolutionized educational systems, offering new pathways to enhance higher education. Across most Swedish universities, Bachelor's and Master's theses (final projects) represent an important part of students' academic journey. Embracing technology as a tool, rather than an end in itself, has become imperati...

The primary challenge this research addresses is the lack of harmonization of healthcare technologies in emergent regions. Despite the high demand for digital transformation in the healthcare domain, a significant disparity remains in the capacity to implement digitized health services that leverage electronic identification for patient-centricity...

The benefits of teacher-facing dashboards are incontestable, yet their evidence is finite in terms of long-term use, meaningful usability, and maturity level. Thus, this paper uses design science research and critical theory to design and develop TEADASH to support teachers in making decisions on teaching and learning. Three cycles of design scienc...

COVID-19 has changed the mindset of many teachers from traditional education to online education. The increased use of learning management systems is leveraging opportunities for increased use of learner data to draw insights about the learners and the learning environment. However, typically learners are the primary beneficiaries, while teachers a...

Although learning analytics (LA) often processes massive data, not all courses in higher education institutions are on a large scale, such as courses for employed adult learners (EALs) or master’s students. This places LA in a new situation with small datasets. This paper explores the contemporary situation of how LA has been used for small dataset...

Electronic identification and authentication, in contrast to classical password based authentication systems, is reaching a level of the norm of person identification in a digital-by-default society. Secure, trusted as well as simple, lightweight, easy to use and privacy-preserved solutions are hence in demand, specifically when government services...

The traditional subject of information search and retrieval (IR) paradigm shifted to an entirely new era since artificial intelligence (AI) techniques were introduced into the field. Browser-based IR solutions powered by AI for personalised recommendations-based information retrieval, such as the Google search engine, were one of the early examples...

Soft skills are becoming equally crucial as hard skills in today's labour market. In contrast to hard skills which are teachable typically through formal education, soft skills are non-technical and interpersonal, allowing individuals to be able to find and succeed in their studies, jobs, and professional life. Despite the increasing emphasis on so...

Technology has become an indispensable element in education that challenges conventional teaching. The pandemic significantly forced a paradigm shift in education from traditional methods to digital platforms. Emerging technology expanded the teacher’s role faster than predicted, and technology has become a significant criterion in defining 21st-ce...

Online and digital education, which was once perceived as demanding financially and academically, became the most viable option to continue teaching and learning during the COVID-19 pandemic. Despite their lack of prior experience, capabilities, or willingness, many teachers shifted their courses online in a short period to continue teaching during...

The COVID-19 pandemic has significantly impacted online education, increasingly converting traditional classrooms to fully online platforms. Consequently, a progressing country in the global south, Sri Lanka, has undergone a challenging period during this transition due to various social, economic, and cultural influences. Focusing on the rapid cha...

Digitalisation promotes online education, internationalisation and student mobility. Based on the Bologna process and the European higher education area, learning mobility has been successful under Erasmus and other similar initiatives. However, a key issue for students and universities is that a significant amount of time is spent on the manual la...

Background: Many teachers consider it challenging to teach children with autism spectrum disorder (ASD) in an inclusive classroom due to their unique needs and challenges. The integration of information communication technology (ICT) in the education system allows children with ASD to improve their learning. However, these ICT tools should meet the...

Non-cognitive skills (NCS) are important for personal development and enhancing employability. However, as related literature points out, designs for NCS development are challenged by their fidelity, complexity, technology pedagogy and content value, user-centricity and so forth. Thus, this study investigates on 1) how do individuals recognise thei...

Personalized learning is one of the main focuses in 21st-century education, and Learning Analytics (LA) has been recognized as a supportive tool for enhancing personalization. Meanwhile, the General Data Protection Regulations (GDPR), which concern the protection of personal data, came into effect in 2018. However, contemporary research lacks the e...

Non-cognitive skills (NCS) are essential in increasing employability according to contemporary studies, but improving NC skills are less prioritised in typical education curricula. Work-based training programs and other upskilling programs offered in lifelong learning settings compensate for the gap of NCS requirements. However, standardised learni...

Learning Analytics (LA) approaches in Blended Learning (BL) research is becoming an established field. In the light of previous critiqued toward LA for not being grounded in theory, the General Data Protection and a renewed focus on individuals’ integrity, this review aims to explore the use of theories, the methodological and analytic approaches i...

Building self-organizing teams in agile projects is considered an important job for project leaders. However, the reality is that building self-organized teams lacks focus as many go back to managing tasks because it is more concrete and tangible. While there are an excessive number of studies proving that developing self-organized teams has a posi...

Compared to traditional work-based skills development programs, commissioned education is an attractive solution for working professionals to develop skills to better fit into their constantly reshaping job profiles while acquiring a higher educational qualification. Commissioned programs, on the other hand, typically require a high level of commit...

Non-cognitive skills (NCS) such as critical thinking, creativity, reliability, problem-solving, self-management, decision-making, and communication are the keys to a successful life and career development in a knowledge society. In contrast to hard skills or cognitive ability, which are the mainstream of formal and informal education, NCS is yet to...

Successful implementation of e-learning environments requires adequate teacher training. In this study, a solution is sought for how teacher training programmes on newly introduced Learning Management Systems (LMS) can be designed in such a way that they would be inclusive of different levels of digital competence, supportive of individual teacher...

The thesis component of a degree program is vital since the quality of it contributes to the quality of the whole degree. Maintaining the quality of the degree programs and handling the constantly increasing numbers of students entering higher education simultaneously is a challenge for many higher educational institutions. This paper presents a st...

ABSTRACT This paper summarises experiences of efforts made by twenty individuals when implementing small-scale ICT development projects in their organizations located in seven developing countries. The main focus of these projects was the use of ICT in educational settings. Challenges encountered and the contributing factors for implementation su...

Introduction At universities students and supervisors strive for interesting and meaningful research problems to study in thesis projects. For students, finding a good topic for their thesis work is a lonely and tiresome process. A meaningful topic motivate supervisors to closely monitor and support students. The industry, state and the civil socie...

Improving the quality of Bachelor’s and Master’s theses while at the same time increasing the number of theses without expanding the existing resources proportionately is a huge challenge faced by higher educational institutions. The aim of this study is to investigate the effect of multiple change processes on Bachelors and Masters level thesis wo...

Many research studies have highlighted the low completion rate and slow progress in PhD education. Universities strive to improve throughput and quality in their PhD education programs. In this study, the perceived problems of PhD education are investigated from PhD students’ points of view, and how an Information and Communication Technology Suppo...

Integrating technology in pedagogy is a step for ICT capacity building for higher education to meet its current demands. Therefore, the integration of eLearning systems has been problematic, albeit huge investments in ICT infrastructure. This study investigates teacher adoption of a new upgraded eLearning platform being integrated at University of...

With the emerging use of technological interventions in education systems, e-learning systems contribute immensely in education delivery. However, with substantial efforts from the Rwandan Government, there are still claims about the lack of online support systems especially for thesis process in Rwandan higher education. Furthermore, the experienc...

Quantitative structure-activity relationship QSAR models have gained popularity in the pharmaceutical industry due to their potential to substantially decrease drug development costs by reducing expensive laboratory and clinical tests. QSAR modeling consists of two fundamental steps, namely, descriptor discovery and model building. Descriptor disco...

Standard graph learning approaches are often challenged by the computational cost involved when learning from very large sets of graph data. One approach to overcome this problem is to transform the graphs into less complex structures that can be more efficiently handled. One obvious potential drawback of this approach is that it may degrade predic...

Graph propositionalization methods can be used to transform structured and relational data into fixed-length feature vectors, enabling standard machine learning algorithms to be used for generating predictive models. It is however not clear how well different propositionalization methods work in conjunction with different standard machine learning...

Graph propositionalization methods transform structured and relational data into a fixed-length feature vector format that can be used by standard machine learning methods. However, the choice of propositionalization method may have a significant impact on the performance of the resulting classifier. Six different propositionalization methods are e...

Typical machine learning systems often use a set of previous experiences (examples) to learn concepts, patterns, or relations hidden within the data [1]. Current machine learning approaches are challenged by the growing size of the data repositories and the growing complexity of those data [1, 2]. In order to accommodate the requirement of being ab...

The benefit of incorporating background knowledge in the learning process has been successfully demonstrated in numerous applications of ILP methods. Nevertheless the effect of incorporating background knowledge in graph learning has not yet been system- atically explored. A first step in this direction is taken in this work, where a case study in...

Existing methods for learning from structured data are limited with respect to handling large or isolated substructures and also impose constraints on search depth and induced structure length. An approach to learning from structured data using a graph based propositionalization method, called finger printing, is introduced that addresses the limit...

Current methods for learning from structured data are limited w.r.t. handling large or isolated sub-structures and also impose constraints on search depth and induced structure length. An approach to learning from structured data using a graph based canonical representation method of structures, called finger printing, is introduced that addresses...

Logic based methods for learning from structured data is limited w.r.t. handling large search spaces, preventing large-sized substructures from being considered by the resulting classifiers. A novel approach to learning from structured data is introduced that employs a structure transformation method, called finger printing, for addressing these li...

The recent studies of pattern mining have given more attention to discovering patterns that are interesting, significant, discriminative and so forth, than simply frequent. Does this imply that the frequent patterns are not useful anymore? In this paper we carry out a survey of frequent pattern mining and, using an empirical study , show how far th...