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This study proposes an integrated Machine Learning and simulated framework for a personalized learning system. This framework aims to improve the integrity of the provided tasks, adapt to each student individually and ultimately enhance students' academic performance.

This methodology comprises two components. (1) A simulation-based system that utilizes reinforcement algorithms to assign additional questions to students who do not reach pass grade thresholds. (2) A Machine Learning system that uses the data from the system to identify the drivers of passing or failing and predict the likelihood of each student passing or failing based on their engagement with the simulated system.

The results of this study offer preliminary evidence of the effectiveness of the proposed simulation system and indicate that such a system has the potential to foster improvements in learning outcomes.

As with all empirical studies, this research has limitations. A simulation study is an abstraction of reality and may not be completely accurate. Student performance in real-world environments may be higher than estimated in this simulation, reducing the required teacher support.

The developed personalized learning (PL) system demonstrates a strong foundation for improving students' performance, particularly within a blended learning context. The findings indicate that simulated performance using the system exhibited improvement when individual students experienced higher learning benefits tailored to their needs.

The research offers evidence of the effectiveness of personalized learning systems and highlights their capacity to drive improvements in education. The proposed system holds the potential to enhance learning outcomes by tailoring tasks to meet the unique needs of each student.

This study contributes to the growing literature on personalized learning, emphasizing the importance of leveraging machine learning in educational technologies to enable precise predictions of student performance.

This chapter looks at web-radio and podcasting in Greece, exploring their past, current status and considering possible futures. The analysis begins from broadcast radio in order to explore the, sometimes complex, relationships between traditional and new digital formats, particularly as these exist in an already financially and politically challenging terrain. Some tensions are revealed as the author, via primary and secondary research, navigates the radio landscape in a country that is now emerging from a long financial crisis. As there is very little writing on Greek Podcasting, this chapter aims to provide a snapshot of what currently exists and to suggest possible functions and creative avenues for it in Greece moving forward.

One of the most important effects of the financial and economic crisis is the reduction of commercial activity. Since 2013, the proportion of closed commercial properties in the commercial center of Athens has peaked, reaching the 32.3% of the total number of ground floor properties. This phenomenon varies from one neighborhood to another and, as a result, it is necessary to be further studied carefully across the Athens Metropolitan Area (AMA). Apart from spatial issues related to the special characteristics of the Athenian neighborhoods, another topic has to be examined: the potential relationship among the urban morphology, the use of urban spaces (accessibility, walkability, livability, etc.) and the increased number of closed commercial properties. This research is a combined study between the commercial activity in the pre- and post-crisis period and the morphological characteristics of commercial streets in three Athenian neighborhoods (Kypseli, Nea Ionia and Aghios Demetrios) that have been exploited as case studies. The purpose of the research is to understand the impact of the crisis over time and to highlight critical variations that are related to the geography of an area. Results highlight the hypothesis and thus, sustainable mobility planning may be initially considered as a regeneration policy for commercial activity in the post-crisis era.