Classroom instruction behavior analysis is one of the effective methods to optimize methods and designs of classroom teaching, improving the quality and efficiency of classroom instruction, and enriching the practical...
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ISBN:
(纸本)9789819742424;9789819742431
Classroom instruction behavior analysis is one of the effective methods to optimize methods and designs of classroom teaching, improving the quality and efficiency of classroom instruction, and enriching the practical knowledge of teachers. With the continuous breakthroughs in artificial intelligence technology, there is a growing body of research on instructional behavior analysis. Instruction behavior recognition algorithms face great challenges due to the lack of appropriate datasets as data support. Therefore, in this paper, we propose a dataset CIBR for classroom instructional behavior recognition. The dataset is based on real classroom teaching videos from primary and secondary schools, covering 14 instructional behaviors, with a total of 2, 380 video samples. We evaluated our CIBR dataset on five commonly used behavior recognition models, namely 3D-RESnet 50, I3D, R (2 + 1) D-RGB, S3D and Timesformer, and compared it with the mainstream behavior recognition datasets UCF101 and HMDB51. The results show that the CIBR dataset is reliable, feasible, and effective. The creation of the CIBR dataset provides a data base for AI techniques to automatically identify and analyze the behavior of teachers and students in primary and secondary schools.
In this paper, we apply persistent homology, one of the main tools in Topological Data Analysis, to the study of harmonic complexity of musical pieces. A directed weighted graph of chords provides a flexible structure...
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ISBN:
(纸本)9783031606373;9783031606380
In this paper, we apply persistent homology, one of the main tools in Topological Data Analysis, to the study of harmonic complexity of musical pieces. A directed weighted graph of chords provides a flexible structure that allows to adapt the distances between chords to a training corpus and to retain the asymmetry of human perception of chord progressions. Each musical piece of the corpus is modelled as a sequence of chords, which is used to compute the persistent homology of the simplicial complexes obtained by the Dowker filtration. The values associated to persistence barcodes are then studied to link the geometric properties of the simplicial complexes to the harmonic characteristics of the musical pieces.
In this research we compare the ability to take into account the intent in moral judgement with the level of Theory of Mind (ToM) in Typically Developing children (4 to 7 y.o.). In the first test we evaluated the mora...
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ISBN:
(纸本)9783031552441;9783031552458
In this research we compare the ability to take into account the intent in moral judgement with the level of Theory of Mind (ToM) in Typically Developing children (4 to 7 y.o.). In the first test we evaluated the moral algebra: combination of intent and consequence. Children had to judge social interactions between two characters in four situations: intentional harm, attempted harm, accidental harm and no harm and for two levels of aggressiveness: low and high. In the second test the ToM of the participants was measured with the scale of Wellman & Liu (2004). They had to answer 7 questions measuring their ability to take the perspective of a character. The results show an effect of ToM on the ability to take into account the intention. Children with the best level of ToM were the most able to judge social interaction according to the intent of the character. In addition, this effect increases with age. The oldest children, who usually have the best scores in ToM take more intent into account and discriminate more accurately levels of aggressiveness.
The surge in popularity of short videos among the elderly has attracted attention, yet the motivations driving their usage remain unclear. This study delves into the factors influencing senior individuals' engagem...
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ISBN:
(纸本)9783031615429;9783031615436
The surge in popularity of short videos among the elderly has attracted attention, yet the motivations driving their usage remain unclear. This study delves into the factors influencing senior individuals' engagement behaviors, encompassing consumption, participation, and production. Through two focus groups with 10 participants aged over 55, the study revealed that utilitarian and hedonic needs motivated seniors' consumption behaviors, while social needs facilitated participation and production. Additionally, apprehensions about potential social conflicts emerged as a deterrent to the proactive use of short videos by senior individuals. These findings carry theoretical and practical implications for the utilization of social media among the elderly.
English learning, being an essential domain, has particularly been influenced by this technological evolution. Various studies have delved into the significance of AI in fostering autonomous and personalized learning ...
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ISBN:
(纸本)9789819742455;9789819742462
English learning, being an essential domain, has particularly been influenced by this technological evolution. Various studies have delved into the significance of AI in fostering autonomous and personalized learning experiences, highlighting its efficacy in enhancing English language proficiency and altering traditional learning paradigms. This paper navigates the role of Generative AI, especially ChatGPT, in English education. Leveraging the versatility of NodeJS and the flexibility of MongoDB, our system accentuates efficiency and scalability. Through an evaluation process involving FPT Software Engineering students, our research underscores the platform's effectiveness across varying English proficiency levels.
In contemporary public administration, mid-level managers play a key role in shaping if and how digital technology is used on every-day basis. But knowledge of the competencies of mid-level managers who increasingly n...
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ISBN:
(数字)9783031708046
ISBN:
(纸本)9783031708039;9783031708046
In contemporary public administration, mid-level managers play a key role in shaping if and how digital technology is used on every-day basis. But knowledge of the competencies of mid-level managers who increasingly need to manage use of digital technology is rather limited. Seeking to rectify the lack of knowledge, we distil relevant mid-level managerial competencies within thinking on bureaucracies, digital transformation and "digital skills", and combine this with a multiple case-study of Danish administrative bodies' use of automated decision-making. Drawing on an understanding of competences as a combination of work-related knowledge, skills and aptitudes held by individuals, we tentatively identify five key competencies for mid-level managers in relation to public administrative bodies' everyday use of digital technology. The identified competencies can help individual managers and public administrative bodies being more targeted in their efforts to manage increased technology use on an every-day basis. Noteworthy, none of the identified competencies imply managers should become technology specialists today or anytime in the future.
Blockchain-based payment systems utilize an append-only log of transactions whose correctness can be verified by any observer. Classically, verification costs grow linearly in either the number of transactions or bloc...
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ISBN:
(纸本)9783031477508;9783031477515
Blockchain-based payment systems utilize an append-only log of transactions whose correctness can be verified by any observer. Classically, verification costs grow linearly in either the number of transactions or blocks in the blockchain (often both). Incrementally Verifiable Computation (IVC) can be used to enable constant-time verification, but generating the necessary proofs is expensive. We introduce the notion of Proof of Necessary Work (PoNW), in which proof generation is an integral part of the proof-of-work used in Nakamoto consensus, producing proofs using energy that would otherwise be wasted. We implement and benchmark a prototype of our system, enabling stateless clients to verify the entire blockchain history in about 40 milliseconds.
Spoilers of sports matches reduce the enjoyment of time-shifted viewing. On YouTube, users who like sports often inadvertently know the outcomes of matches by seeing thumbnails of recommended sports videos. Therefore,...
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ISBN:
(纸本)9783031679971;9783031679988
Spoilers of sports matches reduce the enjoyment of time-shifted viewing. On YouTube, users who like sports often inadvertently know the outcomes of matches by seeing thumbnails of recommended sports videos. Therefore, this paper focused on YouTube video thumbnails and verified the possibility of detecting images that contain spoiler information on YouTube. We constructed a dataset of sports spoiler images comprising 4,531 thumbnails from baseball, soccer, and basketball. In addition, we proposed three detection methods: the Image-Recognition method using optical character recognition (OCR), emotion assessment, and posture assessment;the Vision-Direct method using the OpenAI Vision API only;and the Vision-Text method that judges using the spoiler dictionary for an image's description by the OpenAI Vision API. We evaluated the accuracy of these methods, and our results indicated that the Vision-Text method achieved an accuracy of 85% in detecting spoiler images. Furthermore, the evaluation results indicated that the Vision-Text method might be the most effective for detecting spoiler images in baseball and soccer. In contrast, the Vision-Direct method seems to be the most effective in basketball.
作者:
Kroglid, SanderHannay, Jo E.Univ Oslo
Dept Informat Pb 1080 Blindern N-0316 Oslo Norway OsloMet
Ctr Effect Digitalizat Publ Sect Simula Metropolitan Ctr Digital Engn Pb 4 St Olavs Plass N-0130 Oslo Norway
The main reason for initiating a software development initiative is to produce value for stakeholders. However, software projects vary in their degrees of success in delivering the intended value. Since software proje...
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ISBN:
(纸本)9783031601248;9783031601255
The main reason for initiating a software development initiative is to produce value for stakeholders. However, software projects vary in their degrees of success in delivering the intended value. Since software projects can consume a significant amount of resources, a lack of focus on delivering value can result in bad investments. Research suggests that the absence of frameworks and techniques to support organizations in benefits management activities may be the reason for the lack of focus on value creation in daily development life. To increase the motivation for, and the focus on, benefits management, we implemented a generalized version of a set of published benefit estimation and tracking techniques so that they are accessible in an extensively used development management platform (Jira). The techniques are for declaring goals and goal structures and for expressing estimates of the system's contribution to the goals. The usability of the system was tested with IT professionals, the preliminary results are promising for further development on the present functionality and for other pieces of benefits management functionality in the future.
Those who only look at information on the Web or SNS are called Lurkers. Most people are lurkers, so even if they communicate local issues on the Web, they end up only looking at the information. Nudge and incentive a...
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ISBN:
(纸本)9783031601248;9783031601255
Those who only look at information on the Web or SNS are called Lurkers. Most people are lurkers, so even if they communicate local issues on the Web, they end up only looking at the information. Nudge and incentive are considered effective in changing behavior, but it was not clear whether they are also useful when peoplewho knoweach other offline communicate with each other online. This paper conducted a social experiment using an originally developed application, and the results showed that even if people knoweach other offline, they prefer to use functions that can only be used anonymously in online communities, even taking regional and age differences into consideration, and that the use of communication functions in online communities is promoted by both nudge and incentive. The results of the social experiment showed that even if people know each other offline, they prefer to use functions that can only be used anonymously in online communities, taking into account regional differences and age differences.
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