Word reading fluency and decoding can be important determinants when primary school students learn programming in order to develop computational thinking (CT). The question that arises is whether an interaction can be...
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ISBN:
(纸本)9783031723117;9783031723124
Word reading fluency and decoding can be important determinants when primary school students learn programming in order to develop computational thinking (CT). The question that arises is whether an interaction can be established regarding a growth on CT and the level of reading ability of students. Therefore, our experimental research aims to investigate whether different robotic programming environments can be applied to improve students' level of CT and thus reading skills. The studywas conducted among Dutch primary school students grade 3 and 4, aged 6 to 8. For both experimental groups, either BeeBot or Ozobot were applied as robotics programming interventions. The control group followed regular reading lessons. Reading exercises to be solved through programming applications were designed for both experimental groups. Via pre-test-posttest design, proficiency onCTwas determined by administering the Beginners Computational Thinking Test (BCTt). To establish reading proficiency, the "three-minute test" (DMT) was administered. Our research indicates a correlation between a development on CT and the level of reading fluency and decoding. Although not all subcategories of CT are a predictor on reading skills, programming tangible or code-based robotics did prove to be an explanatory model regarding the results of the reading test taken. The findings obtained imply that the application of programming and related CT development may be beneficial for the development of reading ability. Follow-up research is recommended to be able to make more specific statements on the effect of development on CT related to the reading level of students in primary education.
The Cartesian tree of a string is a binary tree, which is useful in capturing minimalities within strings. We study the approximate pattern matching problem for two Cartesian trees of two strings. We design a poly-tim...
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ISBN:
(数字)9783031661594
ISBN:
(纸本)9783031661587;9783031661594
The Cartesian tree of a string is a binary tree, which is useful in capturing minimalities within strings. We study the approximate pattern matching problem for two Cartesian trees of two strings. We design a poly-time algorithm that computes the minimum edit cost when a given string is edited to match the Cartesian tree of the other string. Then, we adapt the algorithm to the approximate pattern matching problem, where we find all substrings of a given text that match a given Cartesian tree pattern within a given number of edit operations. We also consider variant problems such as the approximate Cartesian matching under Hamming distance, and present poly-time algorithms for the considered problems.
The definition of period in finite-state Markov chains can be extended to regular languages by considering the transitions of DFAs accepting them. For example, the language (SS)* has period two because the length of a...
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ISBN:
(数字)9783031661594
ISBN:
(纸本)9783031661587;9783031661594
The definition of period in finite-state Markov chains can be extended to regular languages by considering the transitions of DFAs accepting them. For example, the language (SS)* has period two because the length of a recursion (cycle) in its DFA must be even.. This paper shows that the period of a regular language appears as a cyclic group within its syntactic monoid. Specifically, we show that a regular language has period p if and only if its syntactic monoid is isomorphic to a submonoid of a semidirect product between a specific finite monoid and the cyclic group of order p. Moreover, we explore the relation between the structure of Markov chains and our result, and apply this relation to the theory of probabilities of languages. We also discuss the Krohn-Rhodes decomposition of finite semigroups, which is strongly linked to our methods.
The integration of ChatGPT and other large language models (LLMs) into educational environments has raised widespread discussions about the potential positive and negative effects. To understand the impact of LLMs on ...
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ISBN:
(纸本)9783031723117;9783031723124
The integration of ChatGPT and other large language models (LLMs) into educational environments has raised widespread discussions about the potential positive and negative effects. To understand the impact of LLMs on learning, it is crucial to consider various aspects of the learning process, including motivational factors, which play an important role in creating a positive learning experience. This study investigates the different motivational influences on the learning of university students in a traditional, static environment versus an LLM-supported learning platform. Our study includes 50 participants and focuses on their engagement in learning about a mathematical topic. The study demonstrates a statistically significant (p < 0.001) increase in motivation among participants who use an LLM-powered platform for learning, compared to those who access a static website, with a large effect size (Cohen's d = - 1.387). This suggests that interactive, LLM-driven learning tools can substantially enhance learner motivation.
In the post-pandemic era, more and more people are turning to virtual spaces for entertainment, work, education, and social interaction. Despite this enthusiasm, serious concerns have arisen regarding the accessibilit...
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ISBN:
(数字)9783031574023
ISBN:
(纸本)9783031574016;9783031574023
In the post-pandemic era, more and more people are turning to virtual spaces for entertainment, work, education, and social interaction. Despite this enthusiasm, serious concerns have arisen regarding the accessibility and inclusion of people with disabilities in educational settings and how Artificial Intelligence (AI) approaches can mitigate these issues in the new digital realm. In this article, we conduct a systematic literature review (SRL) to identify the set of challenges that people and students with disabilities encounter when they are interested in accessing the metaverse. We collect solutions proposed in the literature to provide a comprehensive understanding of the accessibility of current metaverse platforms. We distill a number of take-away messages encouraging researchers and practitioners to further work on the proposed solution, leveraging AI to monitor and enable people with disabilities to fully enjoy the metaverse experience.
In the context of the e-FRAN program, our research focused on engineering freshmen's learning processes of 3-D modeling in relation to their spatial skills. One of the approaches developed consisted in identifying...
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ISBN:
(纸本)9783031552441;9783031552458
In the context of the e-FRAN program, our research focused on engineering freshmen's learning processes of 3-D modeling in relation to their spatial skills. One of the approaches developed consisted in identifying the students' sequences of micro operations using a double observation of their actions by recording their on-screen activity, and filming their gestures and postures. The objective consisted in determining the logical sequences of both their bodily attitudes, which are related to their manipulation of the software, and their conceptual approaches, which are linked to the results they obtained by interacting with the software. This preliminary characterization aimed to establish the possible recurring patterns in human behavior in the context studied, to then determine the robustness of the codings with regard to the software functionalities, to finally identify characteristic sequences of operations. The later phase consisted in feeding a parser with the encoded traces left by the subjects' interactions with the software interface, using a heuristic library of actions. The objective was to identify sequences indicative of efficient, or non-efficient, conceptual processes in the task performance. The encoded operations logs revealed recurring sequences, which were then processed statistically to identify prototypes of rationality of intentions. The encoded sequences were submitted to a further manual encoding to identify strategies that arose at the students' first encounter with the modeling interface.
Against the backdrop of demographic change and advancing digitalization, digital skills are indispensable for older adults. Nevertheless, using digital technologies is not a matter of course for this group. Due to the...
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ISBN:
(纸本)9783031615429;9783031615436
Against the backdrop of demographic change and advancing digitalization, digital skills are indispensable for older adults. Nevertheless, using digital technologies is not a matter of course for this group. Due to their structures and regional networking, multigenerational houses (MGHs) are suitable platforms for promoting media skills for older adults. Training programs consisting of courses and media consultation hours for older adults to strengthen their digital skills were initiated and carried out in Bavarian MGHs. The aim was to understand better the mechanisms, potential, and challenges of promoting digital skills among older adults in MGHs. To this end, expert interviews were conducted with managers of seven selected MGHs in April 2023. The results show that older adults respond positively to the training programs and see considerable added value. Providing programs to promote media skills in MGHs can help to reduce the digital divide and enable older adults to participate better in a digitally shaped society.
According to statistics, by 2020, the number of people with low vision worldwide had exceeded 1 billion, and this number is still rising. This shows that people with low vision have become an important group that cann...
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ISBN:
(纸本)9783031601064;9783031601071
According to statistics, by 2020, the number of people with low vision worldwide had exceeded 1 billion, and this number is still rising. This shows that people with low vision have become an important group that cannot be ignored in today's society. On the other hand, as Japan is located in the Pacific Ring of Fire, it experiences a higher frequency of natural disasters compared to other countries. Although the Japanese government has implemented many disaster prevention strategies to minimize civilian casualties during disasters, there are currently no special care measures for people with low vision, who are a vulnerable group. Therefore, this study believes it's necessary to develop an evacuation care system to further ensure the safety of people with low vision during disasters.
Understanding the patterns and mechanisms behind news consumption and avoidance is crucial for fostering democratic participation and informed societies. This methodological paper introduces an approach designed to st...
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ISBN:
(纸本)9783031615429;9783031615436
Understanding the patterns and mechanisms behind news consumption and avoidance is crucial for fostering democratic participation and informed societies. This methodological paper introduces an approach designed to study news avoidance, addressing the limitations and biases associated with traditional self-report surveys and digitaltrace data collection. We propose an intelligent, dialogical news delivery application that simulates a real-world news consumption environment. This application segments content to provide nuanced interaction data while controlling for self-report response biases. Thus, the proposed method allows for the integration of behavioural and self-report data, leveraging the strengths of these divergent data types to offer a more comprehensive understanding of news engagement dynamics. By enabling controlled yet naturalistic interactions with news content, our approach seeks to unveil the multifaceted reasons behind news avoidance across different demographics, with a particular focus on understanding intergenerational dynamics. This paper underscores the importance of developing robust methodological tools in media studies to derive scientifically valid and replicable inferences that explain news consumption behaviours.
In today's digitalized society, online platforms undoubtedly play a significant part in assisting translation education. Whereas it is the development of the core competence of the translation learners that can tr...
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ISBN:
(纸本)9789819742424;9789819742431
In today's digitalized society, online platforms undoubtedly play a significant part in assisting translation education. Whereas it is the development of the core competence of the translation learners that can truly prompt the bright future of translation field. Hence this paper begins with an overview of a corpus-assisted and knowledge-network-based online translation learning platform, and then presents the application of it in practical translation (self-) learning and pays special focus on the perception of the learners of the system. By analyzing the data collected from the questionnaire survey, the paper aims to, from learners' perceptions of the system, further focus on the feedback of learners, and then explore whether the knowledge-network-based approach plays a more efficient part in the development of translation learning and if so, how as well as the potential improvement of the system to cater to the emerging needs of the users, thus aid users in developing more efficient mode in translation learning.
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