16 research outputs found

    Personalization, Cognition, and Gamification-based Programming Language Learning: A State-of-the-Art Systematic Literature Review

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    Programming courses in computing science are important because they are often the first introduction to computer programming for many students. Many university students are overwhelmed with the information they must learn for an introductory course. The current teacher-lecturer model of learning commonly employed in university lecture halls often results in a lack of motivation and participation in learning. Personalized gamification is a pedagogical approach that combines gamification and personalized learning to motivate and engage students while addressing individual differences in learning. This approach integrates gamification and personalized learning strategies to inspire and involve students while addressing their unique learning needs and differences. A comprehensive literature search was conducted by including 81 studies that were analyzed based on their research design, intervention, outcome measures, and quality assessment. The findings suggest that personalized gamification can enhance student cognition in programming courses by improving motivation, engagement, and learning outcomes. However, the effectiveness of personalized gamification varies depending on various factors, such as the type of gamification elements used, the degree of personalization, and the characteristics of the learners. This paper provides insights into designing and implementing effective personalized gamification interventions in programming courses. The findings could inform educational practitioners and researchers in programming education about the potential benefits of personalized gamification and its implications for educational practice

    Sim2real and Digital Twins in Autonomous Driving: A Survey

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    Safety and cost are two important concerns for the development of autonomous driving technologies. From the academic research to commercial applications of autonomous driving vehicles, sufficient simulation and real world testing are required. In general, a large scale of testing in simulation environment is conducted and then the learned driving knowledge is transferred to the real world, so how to adapt driving knowledge learned in simulation to reality becomes a critical issue. However, the virtual simulation world differs from the real world in many aspects such as lighting, textures, vehicle dynamics, and agents' behaviors, etc., which makes it difficult to bridge the gap between the virtual and real worlds. This gap is commonly referred to as the reality gap (RG). In recent years, researchers have explored various approaches to address the reality gap issue, which can be broadly classified into two categories: transferring knowledge from simulation to reality (sim2real) and learning in digital twins (DTs). In this paper, we consider the solutions through the sim2real and DTs technologies, and review important applications and innovations in the field of autonomous driving. Meanwhile, we show the state-of-the-arts from the views of algorithms, models, and simulators, and elaborate the development process from sim2real to DTs. The presentation also illustrates the far-reaching effects of the development of sim2real and DTs in autonomous driving

    Handbook of Easy Languages in Europe

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    The Handbook of Easy Languages in Europe describes what Easy Language is and how it is used in European countries. It demonstrates the great diversity of actors, instruments and outcomes related to Easy Language throughout Europe. All people, despite their limitations, have an equal right to information, inclusion, and social participation. This results in requirements for understandable language. The notion of Easy Language refers to modified forms of standard languages that aim to facilitate reading and language comprehension. This handbook describes the historical background, the principles and the practices of Easy Language in 21 European countries. Its topics include terminological definitions, legal status, stakeholders, target groups, guidelines, practical outcomes, education, research, and a reflection on future perspectives related to Easy Language in each country. Written in an academic yet interesting and understandable style, this Handbook of Easy Languages in Europe aims to find a wide audience

    Challenges of DevSecOps

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    Software development speed has significantly increased in recent years with methodologies like Agile and DevOps that use automation, among other technics, to enable continuous delivery of new features and software updates to the market. This increased speed has given rise to concerns over guaranteeing security at such a pace. To improve security in today’s fast-paced software development, DevSecOps was created as an extension of DevOps. This thesis focuses on the experiences and challenges of organizations and teams striving to implement DevSecOps. We first view our concepts through existing literature. Then, we conduct an online survey of 37 professionals from both security and development backgrounds. The results present the participants’ overall sentiments towards DevSecOps and the challenges they struggle with. We also investigate what kind of solutions have been tried to mitigate these issues and if these solutions have indeed worked

    Ethical issues invoked by Industry 4.0

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    Industry 4.0 is universally referred to as the fourth industrial revolution. It is a current trend of automation and data exchange in manufacturing technologies. The computerisation of manufacturing includes, amongst other, cyber-physical systems, the Internet of Things (IoT), cloud computing and cognitive computing. There are many challenges in the realisation of Industry 4.0. In order to adopt a "smart factory" and improved (software) processes many ethical considerations need to be identified and considered if a company is to obtain an ethical development and deployment of Industry 4.0. The purpose of normative ethics is to scrutinise standards about the rightness and wrongness of actions, the ultimate goal being the identification of the true human good. A rational appeal can be made to normative defensible ethical rules in order to arrive at a judicious, ethically justifiable judgement. In this position and constructive design research paper our steps are: First we report on the findings of a broad literature review of related research, which refers to the current challenges in the realisation of Industry 4.0. Second, we identify and list some basic generic Deontological and Teleological ethical principles and theories that can serve as normative guidelines for addressing the challenges identified in the initial step. Third, we prescribe a set of ethical rights and duties that must be exercised and fulfilled by protagonists/stakeholders in Industry 4.0 implementation in order for them to exhibit ethical behaviour. Each of these suggested actions are substantiated via an appeal to one, or a number of the normative guidelines, identified in the second step. By identifying and recommending a set of defensible ethical obligations that must be fulfilled in the development and deployment of smart factories, protagonists such as: employers, project managers, technology suppliers, trade unions, (on a microscopic level) and chambers of commerce, local and national government (on a macroscopic level) and other can fulfil their ethical duties. Thus, a deployed Industry 4.0 solution can result in technological change, social change and changes in the business paradigm, which are all ethically justifiable. Ultimately all the improvement processes of Industry 4.0 implementation must be underpinned with ethical consideration

    Agile Processes in Software Engineering and Extreme Programming

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    This open access book constitutes the proceedings of the 21st International Conference on Agile Software Development, XP 2020, which was planned to be held during June 8-12, 2020, at the IT University of Copenhagen, Denmark. However, due to the COVID-19 pandemic the conference was postponed until an undetermined date. XP is the premier agile software development conference combining research and practice. It is a hybrid forum where agile researchers, academics, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. Following this history, for both researchers and seasoned practitioners XP 2020 provided an informal environment to network, share, and discover trends in Agile for the next 20 years. The 14 full and 2 short papers presented in this volume were carefully reviewed and selected from 37 submissions. They were organized in topical sections named: agile adoption; agile practices; large-scale agile; the business of agile; and agile and testing

    Handbook of Easy Languages in Europe

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    Ethical issues invoked by Industry 4.0

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    Industry 4.0 is universally referred to as the fourth industrial revolution. It is a current trend of automation and data exchange in manufacturing technologies. The computerisation of manufacturing includes, amongst other, cyber-physical systems, the Internet of Things (IoT), cloud computing and cognitive computing. There are many challenges in the realisation of Industry 4.0. In order to adopt a "smart factory" and improved (software) processes many ethical considerations need to be identified and considered if a company is to obtain an ethical development and deployment of Industry 4.0. The purpose of normative ethics is to scrutinise standards about the rightness and wrongness of actions, the ultimate goal being the identification of the true human good. A rational appeal can be made to normative defensible ethical rules in order to arrive at a judicious, ethically justifiable judgement. In this position and constructive design research paper our steps are: First we report on the findings of a broad literature review of related research, which refers to the current challenges in the realisation of Industry 4.0. Second, we identify and list some basic generic Deontological and Teleological ethical principles and theories that can serve as normative guidelines for addressing the challenges identified in the initial step. Third, we prescribe a set of ethical rights and duties that must be exercised and fulfilled by protagonists/stakeholders in Industry 4.0 implementation in order for them to exhibit ethical behaviour. Each of these suggested actions are substantiated via an appeal to one, or a number of the normative guidelines, identified in the second step. By identifying and recommending a set of defensible ethical obligations that must be fulfilled in the development and deployment of smart factories, protagonists such as: employers, project managers, technology suppliers, trade unions, (on a microscopic level) and chambers of commerce, local and national government (on a macroscopic level) and other can fulfil their ethical duties. Thus, a deployed Industry 4.0 solution can result in technological change, social change and changes in the business paradigm, which are all ethically justifiable. Ultimately all the improvement processes of Industry 4.0 implementation must be underpinned with ethical consideration

    Requirements Engineering that Balances Agility of Teams and System-level Information Needs at Scale

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    Context: Motivated by their success in software development, large-scale systems development companies are increasingly adopting agile methods and their practices. Such companies need to accommodate different development cycles of hardware and software and are usually subject to regulation and safety concerns. Also, for such companies, requirements engineering is an essential activity that involves upfront and detailed analysis which can be at odds with agile development methods. Objective: The overall aim of this thesis is to investigate the challenges and solution candidates of performing effective requirements engineering in an agile environment, based on empirical evidence. Illustrated with studies on safety and system-level information needs, we explore RE challenges and solutions in large-scale agile development, both in general and from the teams’ perspectives. Method: To meet our aim, we performed a secondary study and a series of empirical studies based on case studies. We collected qualitative data using interviews, focus groups and workshops to derive challenges and potential solutions from industry. Findings: Our findings show that there are numerous challenges of conducting requirements engineering in agile development especially where systems development is concerned. The challenges discovered sprout from an integration problem of working with agile methods while relying on established plan-driven processes for the overall system. We highlight the communication challenge of crossing the boundary of agile methods and system-level (or plan-driven) development, which also proves the coexistence of both methods. Conclusions: Our results highlight the painful areas of requirements engineering in agile development and propose solutions that can be explored further. This thesis contributes to future research, by establishing a holistic map of challenges and candidate solutions that can be further developed to make RE more efficient within agile environments

    Implementing a data protection impact assessment for the web-application on the piloting phase

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    Abstract. The General Data Protection Regulation (GDPR) contains several obligations for the ones that are processing personal data of the EU citizens. The major obligations are to take data protection by design and by default, and to carry out a data protection impact assessment (DPIA) whenever there is a high risk to breach privacy. Some organizations and companies are still struggling to achieve these obligations. Violating these obligations may cause sanctions that are up to 4% of the annual turnover. This created the motivation to research how these obligations should be implemented to achieve better compliance with the GDPR. The objective of this thesis work was to research how the GDPR should be considered in applications that are processing personal data. Based on the related work, it was possible to recognize that DPIA process was recommended to cover the obligations of the GDPR. Therefore, the purpose was to research how the DPIA process would affect to the case application. Case application was a web-application that was on the piloting phase. Design science research was applied as a research method. It was decided to carry out a DPIA by applying the guidelines of the Information commissioner’s office (ICO). The DPIA process was applied to the case application. After the DPIA was completed, it was possible to evaluate its impact on the case application. Evaluation was completed in three parts, by evaluating how well the process of the DPIA covered the requirements of the GDPR, by evaluating the technical advantages and costs of the process, and by evaluating how the DPIA was applied in practice. The results of this thesis showed that applying the DPIA process improved data protection, privacy and technical features of the case application. It was possible to reduce the privacy risks associated with data processing activities. In addition, DPIA process improved the technical side of the case application. The data model was simplified and unnecessary information flows were eliminated. These improvements were estimated to increase the workload of the developers for 2.7%. This meant that DPIA process was suitable way to cover the obligations of the GDPR
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