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Lips, Maarten (author)
The online website Skill Circuits is a tool developed by teachers at the Delft University of Technology. Skill Circuits is an online learning tool that presents students with a node-link (i.e. a tree) structure where each node represents a skill, containing tasks that aim to teach the skill. The website aims to benefit teachers, by letting them...
master thesis 2023
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Yümlü, Ege (author)
Smartwatches are equipped with sensors that allow continuous monitoring of physiological and physical activities, making them ideal sources of data for data analysis. However, accurately identifying individuals based on smartwatch data can be challenging due to the presence of outliers. Hence, outlier detection techniques play a crucial part in...
bachelor thesis 2023
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Hobai, Ana (author)
Since the recent rise and advancement of video conferencing platforms such as Zoom, it has become important to interpret the logistics of remote online meetings. Analysing verbal and non-verbal cues (such as body language) between members of these virtual forums can provide additional information regarding the level of conversational involvement...
bachelor thesis 2023
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Li, Andy (author)
With the rise in popularity of online conferencing platforms such as Zoom and Teams, there is an increasing need to understand the dynamics of virtual meetings to enhance productivity. One key aspect that can contribute to productive online meetings is conversational involvement. Personality traits influence the behaviour of participants within...
bachelor thesis 2023
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de Melo e Silva Blasques de Holtreman, Sebas (author)
The importance of understanding how to maximize involvement in virtual meetings has been greatly increased due to the rapid rise of video conferencing tools during the COVID-19 pandemic. This research builds upon the data collected by the MEMO Corpus, specifically interview footage and annotated data, and will aim to explore the various factors...
bachelor thesis 2023
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Xu, Jiaming (author)
Tabular data is widely used in various fields and applications, making the synthesis of such data an active area of research. One important aspect of this research is the development of methods for privacy-preserving data synthesis, which aims to generate synthetic data that retains statistical properties while protecting the privacy of...
master thesis 2023
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Buszydlik, Aleksander (author)
Algorithmic recourse aims to provide individuals affected by a negative classification outcome with actions which, if applied, would flip this outcome. Various approaches to the generation of recourse have been proposed in the literature; these are typically assessed on statistical measures such as the validity of generated explanations or their...
bachelor thesis 2022
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Dobiczek, Karol (author)
Employing counterfactual explanations in a recourse process gives a positive outcome to an individual, but it also shifts their corresponding data point. For systems where models are updated frequently, a change might be seen when recourse is applied, and after multiple rounds, severe shifts in both model and domain may occur. Algorithmic...
bachelor thesis 2022
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Angela, Giovan (author)
Machine learning classifiers have become a household tool for banks, companies, and government institutes for automated decision-making. In order to help explain why a person was classified a certain way, a solution was proposed that could generate these counterfactual explanations. Several generators have been introduced and tested but include...
bachelor thesis 2022
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Bērmans, Boriss (author)
The mobile device market has been steadily growing throughout the last two decades. Nowadays, most people own smartphones that support various applications. Many of these applications fall under the category of mobile learning. These apps have many exciting features which could potentially enhance the learning experience in higher education. If...
bachelor thesis 2021
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te Wierik, Ruben (author)
Real-time sequence clustering is the problem of clustering an infinite stream of sequences in real time with limited memory. A variant of the k-medoids algorithm called <i>SeqClu </i>is the suggested approach, representing a cluster with <i>p </i>most representative sequences of the cluster, called prototypes, to solve the problem of maintaining...
bachelor thesis 2021
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Den Toonder, Jurriaan (author)
Remote learning, learning from home using online available materials, is becoming increasingly more common. This paper focuses on reading activities during remote learning. An important part of learning is keeping sustained attention on the learning materials, as a shift from sustained attention to internal thought or mind-wandering oftentimes...
bachelor thesis 2021
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van der Voort, Sven (author)
Sustained attention is a cognitive state where the learners’ attention is completely focused on the learning environment and content-related thoughts for a continuous stretch of time. Sustained attention is vital to perform well on learning tasks, such as reading. Learning analytics platforms that detect changes in sustained attention can...
bachelor thesis 2021
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Di Giuseppe Deininger, Giuseppe (author)
During a learning task, keeping a steady attentive state is detrimental for good performance. A person is subject to distraction from different sources, among which distractions originating from within him or herself or from external sources, such as ambient sound. The detection of such distraction can improve the effectiveness of a task by...
bachelor thesis 2021
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Fomin, Oleksandr (author)
Mobile learning is growing in popularity due to its nature and the access to mobile devices: students of different ages can use their mobile phones to access any information almost anywhere. The popularity of mobile devices and the current growth of social media allow to apply mobile social media learning in higher education. This systematic...
bachelor thesis 2021
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Dierikx, Martin (author)
Research showed that the number of students that use their mobile devices and apps for learning purposes doubled between 2012 and 2016. This growth enables new forms of learning to be used in higher education settings, like mobile learning. To make sure mobile learning can be successful in higher education, it is necessary to understand what the...
bachelor thesis 2021
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Toledo, Denise (author)
The focus in over two decades of mobile learning (m-learning) research has meanly been on PK-12 education. M-learning is seen as an important new development in PK-12 and higher education (HE). Yet, the ease of app identification is lacking. This paper aimed to classify different m-learning applications to ensure that they are more easily...
bachelor thesis 2021
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Fucarev, Silviu (author)
Clustering data is a classic topic in the academic community and in the industry. It is by and large one of the most popular unsupervised classification techniques. It is fast and flexible as it can accommodate all kinds of data when a suitable similarity metric is found. SeqClu is an online k-medoids prototype based clustering algorithm...
bachelor thesis 2021
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Garack, Jonathan (author)
MalPaCa is an unsupervised clustering tool, which the main purpose is to cluster unidirectional network connections based on network behavior. The clustering is only based on non-intrusive (private) packet features such as transport and network header fields, and thus it has a strong potential use-case. This paper focuses on feature extraction...
bachelor thesis 2021
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Epifanov, Mikhail (author)
Malware Packet-sequence Clustering and Analysis (MalPaCA) is a unsupervised clustering application for malicious network behavior, it currently uses solely sequential features to characterize network behavior. In this paper an extensive comparison between those features and statistical features is performed. During the comparison a better...
bachelor thesis 2021
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