An estimated 65 million people globally suffer from post-acute sequelae of COVID-19 (PASC), with many experiencing cardiovascular symptoms (PASC-CVS) like chest pain and heart palpitations. This study examines the role of chronic inflammation in PASC-CVS, particularly in individuals with symptoms persisting over a year after infection. Blood samples from three groups—recovered individuals, those with prolonged PASC-CVS and SARS-CoV-2-negative individuals—revealed that those with PASC-CVS had a blood signature linked to inflammation. Trace-level pro-inflammatory cytokines were detected in the plasma from donors with PASC-CVS 18 months post infection using nanotechnology. Importantly, these trace-level cytokines affected the function of primary human cardiomyocytes. Plasma proteomics also demonstrated higher levels of complement and coagulation proteins in the plasma from patients with PASC-CVS. This study highlights chronic inflammation’s role in the symptoms of PASC-CVS. Sinclair et al. explore the contribution of chronic inflammation to cardiovascular symptoms associated with post-acute sequelae of SARS-CoV-2 infection (PASC-CVS). The authors identify trace levels of inflammatory cytokines in individuals with PASC-CVS that impair the function of cardiomyocytes derived from induced pluripotent stem cells.

Computing education research applies theories from the social sciences to build deep understanding of factors that influence students’ learning process in different educational settings; but in recent years, computing education researchers have increasingly developed domain-specific theories and models that address the challenges and phenomena specific to computing education. Several literature surveys have addressed these developments. However, little attention has been given to whether these domain-specific theories and models have actually been applied to improve pedagogical practices in computing education. In this paper, we explore domain-specific theories and models that are related to teaching computing. We present these constructs and report our findings about their impact on computing education pedagogies, based on our analysis of publications that cite the original papers presenting these theories or models. Based on the analysis of 1048 papers published between 2005 and 2022 in the International Computing Education Research Conference (ICER) and the journals Computer Science Education and ACM Transactions on Computing Education, we identified 31 papers that present relevant theoretical developments in these areas. We further analyze how these papers have been cited and discuss their identified pedagogical use cases in the citing papers. In general, our results show that while many papers refer to these theories and models, there are few concrete connections to presented pedagogical settings and few implications for further research. However, the papers themselves present interesting and relevant pedagogical ideas. We discuss these observations and make recommendations for reporting such connections and implications.

Use of theory within a field of research provides the foundation for designing effective research programs and establishing a deeper understanding of the results obtained. This, together with the emergence of domain-specific theory, is often taken as an indicator of the maturity of any research area. This article explores the development and subsequent usage of domain-specific theories and theoretical constructs (TCs) in computing education research (CER). All TCs found in 878 papers published in three major CER publication venues over the period 2005–2020 were identified and assessed to determine the nature and purpose of the constructs found. We focused more closely on areas related to learning, studying, and progression, where our analysis found 80 new TCs that had been developed, based on multiple epistemological perspectives. Several existing frameworks were used to categorize the areas of CER focus in which TCs were found, the methodology by which they were developed, and the nature and purpose of the TCs. A citation analysis was undertaken, with 1,727 citing papers accessed to determine to what extent and in what ways TCs had been used and developed to inform subsequent work, also considering whether these aspects vary according to different focus areas within computing education. We noted which TCs were used most often and least often, and we present several brief case studies that demonstrate progressive development of domain-specific theory. The exploration provides insights into trends in theory development and suggests areas in which further work might be called for. Our findings indicate a general interest in the development of TCs during the period studied, and we show examples of how different approaches to theory development have been used. We present a framework suggesting how strategies for developing new TCs in CER might be structured and discuss the nature of theory development in relation to the field of CER.

Several authors of articles in the special issue came together for an asynchronous discussion of the articles, surfacing several tensions and opportunities for future work. This summary of the discussion offers a glimpse into these insights.

Despite the proliferation of massive open online courses (MOOCs) and the impressive levels of enrolment they attract, many participants do not complete these courses. High drop-out has been identified as one of the major problems with existing MOOC formats. Our work addresses two factors relating to non-completion. Firstly, MOOCs require a high degree of self-regulated learning (SRL) skills but most do not adequately develop such skills, thus making them inaccessible in practice to many. Related to this is the inflexibility and passivity of many current MOOC formats, preventing individuals from setting their own learning objectives and directing their own learning. This paper presents preliminary findings from an investigation into MOOC learners' SRL skills and the relationship to how participants learn. Following a design science methodology, we have developed a novel MOOC platform to support learner choice and to assist participants in defining learning goals and developing individual study paths. This paper describes the architecture of the system and presents findings from a pilot MOOC developed on the platform. Our results indicate that there is a high demand for more flexible, self-directed learning but that MOOC learners exhibit deficiencies in specific SRL skills including help seeking and task strategies. The contextualised nature of SRL skills means that even learners with a strong background of formal education may not deploy the best strategies for MOOC learning. This work is of significance to MOOC development in general as it highlights the need for targeted strategies to encourage SRL in MOOC platforms and innovation.

Active learning is increasingly of interest within Higher Education. The use of technology provides, in theory, the opportunity for more effective active learning, but in practice the majority of learning technology usage is still for "traditional" approaches. Conventional staff training is failing to address this. The authors' university has provided an experimental technology-rich teaching space (the Teaching Grid) for supporting teachers as they experiment with the delivery of innovative, technology-based teaching. This study investigates teachers' experiences of trialling active learning approaches within the Teaching Grid using four case studies. The results suggest that the Teaching Grid can be effectively used to support teacher professional development, and the experience of using the facility encourages teachers to integrate technology into their future teaching plans. Five factors are identified which contribute to the promotion of active learning. Teachers' perceptions of their experience indicate not only the intention to use technology more but also an increased awareness of its potential and openness to adopt more active, student-focused approaches. The broader significance of this work is to identify an alternative model for teacher development which, in contrast to most current approaches, has a demonstrable positive impact on fostering innovative, technology-based pedagogy.

PurposeMassive open online courses (MOOCs) provide an innovative educational technology, which has become widely used for distance learning by independent learners. However, there has been little work so far to study the effects of using MOOCs as part of a blended classroom approach in which learning activities take place both online and in a traditional classroom setting. The purpose of this study is to investigate the aspects of blended MOOC usage in the context of a computing course for first-year undergraduates at a UK university.Design/methodology/approachThe MOOC was implemented on a purpose-built platform that supports learners to make informed choices about their learning path. This research investigates students’ capacity for self-regulated learning (SRL) and understands their preparedness for independent study, profile the general areas of SRL strength and weakness, which may affect their ability to learn effectively in a self-directed environment. An existing survey instrument, based on a six-dimensional conceptualization of SRL was adapted to investigate the self-regulation in the MOOC study.FindingsThe results demonstrate that the dimensions of self-evaluation and time management represent particular areas of weakness for these students. Furthermore, profiles of SRL for individual students show considerable differences in capability within the study. However, the deficiencies in SRL dimensions contrast with the students’ of generally high levels of attainment. This leads us to question the validity of the existing SRL. Furthermore, a high level of social interaction and help-seeking was reported in relation to the MOOC study indicating the increasing importance of social learning and the importance of co-regulation for SRL.Research limitations/implicationsAlthough this study presents findings from a small data sample, it points to a number of areas for future implementation and exploration. Firstly, in line with the action research approach, students’ SRL could, in the future, be tested early in the course with the MOOC component being ideally placed to provide personalised support for each student in aspects which they may benefit from developing further. Secondly, for students in the cohort studied in this paper, a longitudinal study will track how their SRL develops as they progress through the degree. We feel that it is important to gain further qualitative data to understand how students work in practice and the strategies they adopt when confronted with different modes of learning. Finally, it is necessary to consider the conceptualisation of SRL to understand if existing instruments could be adapted to provide a more accurate assessment of the effectiveness of learners’ self-regulation.Originality/valueThere has been little research on the effects of using a MOOC as the online component of a blended classroom learning approach. This study has used a theoretical perspective of SRL to investigate the approaches to self-regulation adopted by undergraduate computer science students studying in a blended MOOC environment. The MOOC used for this purpose was developed on the innovative eLDa platform, allowing students to determine, track and visualise their individual path through topics and materials offered in the MOOC.

Cyber security has become an issue of national concern in the UK, USA and many other countries worldwide. Universities have reacted to this by launching numerous cyber security degree programmes. In this paper we explore the structure of these degrees and in particular highlight the challenges faced by academics teaching on them. We explore the issues relating to student expectations and the CSI effect in students entering cyber security. We highlight the science vs tools debate to bring focus to some of the pedagogic tensions between students/industry and the academics who teach on the degree courses. Cyber security is subject to numerous ethical issues and nowhere is this more so than in a university environment. We analyse some of the ethical teaching related issues in cyber security. This paper will be of interest to professionals in industry as well as academics interested in exploring the shape, flavour and structure of cyber security related degree courses and also the challenges presented to the academics that teach these degrees.

ICT companies face problems in recruiting a workforce with ICT skills to meet an increasing demand driven by business growth and innovation. Typical degree courses offered by universities have failed to keep up with this demand, with the number of graduates failing to provide a sufficient supply of suitably-qualified employees. There is also often a mismatch between the degrees offered and the requirements of companies in the ICT industry. There is a need to develop new approaches to address these challenges with sustainable effect. This paper presents three case studies from three different countries. These case studies describe approaches taken by universities, government and industry in developing ICT courses using co-creation method. We consider the role of the different stakeholders and identify areas of commonality and challenges for the future.

PurposeMassive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness in a blended-learning context. One of the major recurring issues raised in both academic literature and in the press about MOOCs is the consistently high dropout rate of MOOC learners.Design/methodology/approachIn this study, we applied mixed methods as an exploratory case study, which prioritised the quantitative and qualitative approaches for the data collection processes. The data were collected using a MOOC Online Self-regulated Learning Questionnaire (MOSLQ) adapted and created from an existing measuring instrument. The quantitative data was analysed using Statistical Package for the Social Sciences (SPSS Version 22) tool to conduct descriptive analysis. The qualitative results obtained from the transcribed focus group interviews in this study revealed the various behavioural patterns of how undergraduate students self-directed their learning. This focus group interview was conducted to reveal the various ways students organised and strategised their learning patterns in order to derive satisfaction in their distinctive learning behaviours and encourage motivation within their study approaches. Quantitative data collected online included a 30 items survey of which 17 respondents completed the survey items in the blended-learning study. The online course survey included 19 items of which data were gathered from 11 respondents.FindingsAcross the data, it is noticeable and clear that time management and goal setting were among the dimensions that are highly rated close to high level among SRL skills investigated in this study. We found that goal setting and task strategies predicted much better attainment of individuals controlling personal course goals, while help seeking was associated with lower goal attainment among majority of the participants.Research limitations/implicationsThe study also identified several challenges. For example, there were some challenges in learners completing the survey questions even when several reminders were sent out forth nightly. At this preliminary stage, learners participated as lurkers without engaging fully with other non-academic and academic interactive activities such as surveys, in course quizzes and forums. Most of the participants in this course said they enrolled to know more about the new trend MOOC, to make friends, to have fun and so on. Although, these are some of their intentions for participating, some of the participants at some points contributed to discussion forums.Practical implicationsOur platform currently allows learners to direct their learning within the course and also allow the choice of content prerequisite in order to recommend resources necessary for their learning. This study indicates the necessity to support SRL skills and directing development of self-determination skills among the participants. This study when applied to a larger sample will demonstrate effective measurement on areas of reliability and validity as results from this small sample has indicated some high SRL skill levels for individual learners within the research.Social implicationsHowever, the success of any e-learning or MOOC platform should consider the following best practices and objectives: the learners' entire learning experience, the strategies used in developing the course content, the planning of the course delivery and the methods of delivery. Therefore, all e-learning platforms should be designed with a primary focus on the way students learn to improve their own learning skills and help them regulate their own independent learning habits. In another related study, the success of any e-learning course implementation should be carefully considered with regards to the course's underlying pedagogy and how learners engage with the content.Originality/valueThere are many e-learning platforms in existence globally, but little has been mentioned about the development of a MOOC platform in general that could allow independent learning and also adequately demonstrating the components and features used in these MOOC designs. This research's implication is to aid instructional designers to apply best practices in the development of an online course. The best approach in designing a good course is to consider the learners and how they could engage with the course resources independently and develop the ability to self-direct their learning. One of the main goals of e-learning platforms is primarily based on developing learning resources that would be suitable for linear course structure as directed by the course developer or instructor.

E-learning, as a direct result of the integration of technology and education, has emerged as a powerful medium of learning particularly using Internet technologies. The undeniable significance of e-learning in education has led to a massive growth in the number of e-learning courses and systems offering different types of services. Thus, evaluation of e-learning -systems is vital to ensure successful delivery, effective use, and positive impacts on learners. Based on an intensive review of the literature, a comprehensive model has been developed which provides a holistic picture and identifies different levels of success related to a broad range of success determinants. The model has been empirically validated by fitting the model to data collected from 563 students engaged with an e-learning system in one of the UK universities through a quantitative method of Partial Least Squares - Structural Equation Modelling (PLS-SEM). The determinants of e-learning perceived satisfaction are technical system quality, information quality, service quality, support system quality, learner quality, instructor quality, and perceived usefulness, which together explain 71.4% of the variance of perceived satisfaction. The drivers of perceived usefulness are technical system quality, information quality, support system quality, learner quality, and instructor quality, and these explain 54.2% of the variance of perceived usefulness. Four constructs were found to be the determinants of e-learning use, namely educational system quality, support system quality, learner quality, and perceived usefulness, and together they account for 34.1%. Finally, 64.7% of the variance of e-learning benefits was explained by perceived usefulness, perceived satisfaction, and use.

Research into the relationship between learning computing and students' attitudes, beliefs, and emotions often builds on theoretical frameworks from the social sciences in order to understand how these factors influence, for example, students' motivation, study practices, and learning results. In this paper we explore the computing education research literature to identify new theoretical constructs that have emerged from this research. We focus on empirical work in programming education that extends or adapts theories or instruments from the social sciences or that independently develops theories specific to programming. From an initial data set of more than 3800 papers published in the years 2010--2019, we identify 50 papers that present a range of domain-specific theoretical constructs addressing emotions, affect, beliefs, attitudes, and self-efficacy. They include 11 validated instruments and a number of statistical models, but also grounded theories and pedagogical models. We summarize the main results of many of these constructs and provide references for all of them. We also investigate how these constructs have informed further research by analysing over 850 papers that cite these 50 papers. We categorize the ways that theories can inform further research, and give examples of papers in each of these categories. Our findings indicate that among these categories, instruments have been most widely used in further research, thus affirming their value in the field.

Independent learning in massive open online courses (MOOCs) requires considerable effort from the learners themselves. Blended-learning has been recognised to foster independent learning among undergraduate students. With the popularity of the blended-learning approach to teach in traditional educational settings, little has been mentioned on how cohesive this approach is in fostering self-directed learning and self-regulation among university students. This study hopes to explore undergraduate learners in their distinctive study patterns. The study was conducted to investigate a comparative study between students from two departments; Science and Social Science. The aim was to explore the students' self-directed and self-regulated learning skills in conventional classrooms and aspects of blended-learning embedded in a MOOC platform in two academic years for undergraduates at a top UK university. This study encompasses two case studies; firstly, a combine blended-learning seminar and a conventional seminar classes and a study undertaken with a student of English as a second language (ESL). The blended-learning students were participants who registered in a conventional university and took an optional module in computer security. The second group of students participated in a core module of logic and verification. The second case study was with a final year undergraduate student in Education Studies. The students studied and engaged with the course content using their initiative and directing their learning approaches.

ICT Companies in Finland today are facing problems in recruiting the right skilled workforce to meet their needs [1]. There is particular shortage of application developers, application designers, web professionals and coders in the South Ostrobothnia area of Finland [2]. Typical degree courses offered by universities would not work because there is a mismatch between the university degrees offered and the needs of these companies. There is a need to develop a new approach to address this shortage. In response to this, local University of Applied Sciences has developed a new ICT education programme using co-creation methods. The new approach is based on the concepts of co-creation of value from service science. This paper discusses the importance of this new approach in education and how it can be implemented. Empirical data is gathered through observation of and reflection on the development of the ICT programme which follows the principles of co-creation.

In order to mature as a research field, computing education research (CER) seeks to build a better theoretical understanding of how students learn computing concepts and processes. Progress in this area depends on the development of computing-specific theories of learning to complement the general theoretical understanding of learning processes. In this paper we analyze the CER literature in three central publication venues -- ICER, ACM Transactions of Computing Education, and Computer Science Education -- over the period 2005--2015. Our findings identify new theoretical constructs of learning computing that have been published, and the research approaches that have been used in formulating these constructs. We identify 65 novel theoretical constructs in areas such as learning/understanding, learning behaviour/strategies, study choice/orientation, and performance/progression/retention. The most common research methods used to devise new constructs include grounded theory, phenomenography, and various statistical models. We further analyze how a number of these constructs, which arose in computing education, have been used in subsequent research, and present several examples to illustrate how theoretical constructs can guide and enrich further research. We discuss the implications for the whole field.

Nowadays, the digital learning environment has revolutionized the vision of distance learning course delivery and drastically transformed the online educational system. The emergence of Massive Open Online Courses (MOOCs) has exposed web technology used in education in a more advanced revolution ushering a new generation of learning environments. The digital learning environment is expected to augment the real-world conventional education setting. The educational pedagogy is tailored with the standard practice which has been noticed to increase student success in MOOCs and provide a revolutionary way of self-regulated learning. However, there are still unresolved questions relating to the understanding of learning analytics data and how this could be implemented in educational contexts to support individual learning. One of the major issues in MOOCs is the consistent high dropout rate which over time has seen courses recorded less than 20% completion rate. This paper explores learning analytics from different perspectives in a MOOC context. First, we review existing literature relating to learning analytics in MOOCs, bringing together findings and analyses from several courses. We explore meta-analysis of the basic factors that correlate to learning analytics and the significant in improving education. Second, using themes emerging from the previous study, we propose a preliminary model consisting of four factors of learning analytics. Finally, we provide a framework of learning analytics based on the following dimensions: descriptive, diagnostic, predictive and prescriptive, suggesting how the factors could be applied in a MOOC context. Our exploratory framework indicates the need for engaging learners and providing the understanding of how to support and help participants at risk of dropping out of the course.