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Recent years have brought a rapid growth of scientific output in the area of gamification in education. In this paper, we try to identify its main characteristics using a bibliometric approach. Our preliminary analysis uses Google Scholar, Scopus, and Web of Science as data sources, whereas the main analysis is performed on 2517 records retrieved from Scopus. The results comprise the cross-coverage of databases, geographic distribution of research, forms of publication, addressed research areas and topics, preferred publishing venues, the most involved scientific institutions and researchers, collaboration among researchers, and research impact. The main conclusions underline the sustained growth of the research output in the area for at least seven years, the widespread interest in the area across countries and branches of science, and an effective research communication in the area documented by the number of citations and the map of co-citations.

Since the collapse of the Soviet Bloc, Polish researchers in the software engineering area made a large e ort to close the gap developed during the times of the Iron Curtain and the ensuing limited access to Western technology. The question arises as to whether they eventually managed to attain – or maybe even to surpass the scientific output in this area of the developed Western countries. In this paper, we perform analysis on papers published in 16 high-quality software engineering journals within the last 30 years to measure the Polish contribution to the global scientific output in the area of software engineering. We observe how the Polish contribution changed in quantity in relation to the global scientific output in subsequent years. We also identify the journals that attracted the Polish authors the most, the institutions located in Poland that contributed the most, as well as the most productive Polish authors and the most acknowledged works (in terms of citation number) written by Polish authors. Moreover, we investigate the topics most often chosen by them.

The main purpose of this paper is to describe key gamification techniques that can be applied to enhance the tourist attraction visiting process. The paper is based on the methodology of design patterns; particularly it adopts the definition and classification schemes originally proposed and developed in the context of gamification of work to specify gamification techniques related to various aspects of the tourist attraction visiting process. The main result is the selection of twelve gamification techniques for enhancing the tourist attraction visiting process, four for each of the three phases of the visiting process (before, during and after the visit). The paper shows that gamification techniques can be applied to enhance the tourist attraction visiting process. Implementation of the proposed gamification techniques is supposed to both improve visitor experience and give the tourist attraction managers a tool for boosting interest in less popular exhibitions and events.

Massive Open Online Courses (MOOCs) have gained widespread popularity for their potential to offer education to an unlimited global audience. However, they also face a critical challenge in the form of high dropout rates. This paper addresses the need to identify students at risk of dropping out early in MOOCs, enabling course organizers to provide targeted support or adapt the course content to meet students' expectations. In this context, zero-time dropout predictors, which utilize demographic data before the course commences, hold significant potential. Despite a lack of consensus in the existing literature regarding the efficacy of demographic data in dropout prediction, this study delves into this issue to contribute new insights to the ongoing discourse. Through an extensive review of prior research and a detailed analysis of data acquired from two programming MOOCs, we aim to shed light on the relationship between students' demographic characteristics and their likelihood of early dropout from MOOCs, using logistic regression. This research extends the current understanding of the impact of demographic features on student retention. The results indicate that age, education level, student status, nationality, and disability can be used as predictors of dropout rate, though not in every course. The findings presented here are expected to affect the development of more effective strategies for reducing MOOC dropout rates, ultimately enhancing the educational experience for online learners. [ABSTRACT FROM AUTHOR]

This paper is poised to inform educators, policy makers and software developers about the untapped potential of PWAs in creating engaging, effective, and personalized learning experiences in the field of programming education. We aim to address a significant gap in the current understanding of the potential advantages and underutilisation of Progressive Web Applications (PWAs) within the education sector, specifically for programming education. Despite the evident lack of recognition of PWAs in this arena, we present an innovative approach through the Framework for Gamification in Programming Education (FGPE). This framework takes advantage of the ubiquity and ease of use of PWAs, integrating it with a Pareto optimized gamified programming exercise selection model ensuring personalized adaptive learning experiences by dynamically adjusting the complexity, content, and feedback of gamified exercises in response to the learners' ongoing progress and performance. This study examines the mobile user experience of the FGPE PLE in different countries, namely Poland and Lithuania, providing novel insights into its applicability and efficiency. Our results demonstrate that combining advanced adaptive algorithms with the convenience of mobile technology has the potential to revolutionize programming education. The FGPE+ course group outperformed the Moodle group in terms of the average perceived knowledge (M = 4.11, SD = 0.51). [ABSTRACT FROM AUTHOR]