FVT: A Fragmented Video Tutor for "Dubbing" Software Development Tutorials

Nong, Chunyin; Zhang, Qiao; Huang, LiGuo; Cui, Di; Zheng, Qinghua; Liu, Ting

doi:10.1109/icse-seet.2019.00018

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Regarding tasks and technologies, we identified some low-level tasks performed as basic steps, of which, many rely on deep learning approaches. For example, for textual video elements, several studies employed optical character recognition [14,21,29,32,49,50,54,64,67,102,109,114,123,138,152,160,161,179,195,255,261,262,265,273,276], keyword extraction [14,40,43,61,92,105,106,109,112,121,128,131,161,206,255,264,271], generic natural language processing methods (e.g., [29,127,128,194,243]), or utilized word embeddings (e.g., [54,…”

Section: Audio Featuresmentioning

confidence: 99%

A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness

Navarrete¹,

Nehring²,

Schanze³

et al. 2023

Preprint

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People increasingly use videos on the Web as a source for learning, be it for daily tasks or in formal as well as informal educational settings. To support this way of learning, researchers and developers are continuously developing tools, proposing guidelines, analyzing data, and conducting experiments. However, it is still not clear what characteristics a video should have to be an effective learning medium. In this paper, we present a comprehensive review of 257 articles on video-based learning from computer science databases for the period from 2016 to 2021 using the PRISMA guidelines. One of the aims of the review is to identify the video characteristics that have been explored by previous work. Based on our analysis, we suggest a taxonomy which organizes the video characteristics and contextual aspects into eight categories: (1) audio features, (2) visual features, (3) textual features, (4) instructor behavior, (5) learners' activities, (6) interactive features (quizzes, etc.), (7) production style, and (8) instructional design. Also, we identify four representative research directions: (1) proposals of tools to support video-based learning, (2) studies with controlled experiments, (3) data analysis studies, and (4) proposals of design guidelines for learning videos. We find that the most explored characteristics are textual features followed by visual features, learner's activities, and interactive features. Text of transcripts, video frames, and images (figures and illustrations) are most frequently used by tools that support learning through videos. The learner's activity is heavily explored through log files in data analysis studies, and interactive features have been frequently scrutinized in controlled experiments. We complement our review by contrasting research findings that investigate the impact of video characteristics on the learning effectiveness, report on tasks and technologies used to develop tools that support learning, and summarize trends in the development of design guidelines to produce learning videos.

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Section: Audio Featuresmentioning

confidence: 99%

A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness

Navarrete¹,

Nehring²,

Schanze³

et al. 2023

Preprint

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“…Work by Nong et al [107], introduces the Fragmented Video Tutor (FTV) tool. FTV aims to bridge the gap between software development video tutorials and text-based tutorials by identifying fragments in video tutorials and linking them to segments of text-based tutorials on the same topic.…”

Section: Software Development Videosmentioning

confidence: 99%

Aiding Software Developers' Information Seeking in Modern Communication Mediums

DigiNole

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Software developers generally need a variety of information to efficiently perform their daily tasks, such as information regarding programming languages and constructs, algorithms, platforms, APIs, programming errors, etc. Traditionally, developers obtain information from mediums such as source code, version control repositories, co-workers, internal communication emails, and online documentation. However, nowadays, besides the traditional information mediums available to developers, software developers have access to multiple modern communication mediums that capture knowledge and information in a variety of formats, such as online forums, videos, and online chat platforms, among others.

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SCC-GPT: Source Code Classification Based on Generative Pre-Trained Transformers

Alahmadi,

Alshangiti,

Alsubhi

2024

Mathematics

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Developers often rely on online resources, such as Stack Overflow (SO), to seek assistance for programming tasks. To facilitate effective search and resource discovery, manual tagging of questions and posts with the appropriate programming language is essential. However, accurate tagging is not consistently achieved, leading to the need for the automated classification of code snippets into the correct programming language as a tag. In this study, we introduce a novel approach to automated classification of code snippets from Stack Overflow (SO) posts into programming languages using generative pre-trained transformers (GPT). Our method, which does not require additional training on labeled data or dependency on pre-existing labels, classifies 224,107 code snippets into 19 programming languages. We employ the text-davinci-003 model of ChatGPT-3.5 and postprocess its responses to accurately identify the programming language. Our empirical evaluation demonstrates that our GPT-based model (SCC-GPT) significantly outperforms existing methods, achieving a median F1-score improvement that ranges from +6% to +31%. These findings underscore the effectiveness of SCC-GPT in enhancing code snippet classification, offering a cost-effective and efficient solution for developers who rely on SO for programming assistance.

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FVT: A Fragmented Video Tutor for "Dubbing" Software Development Tutorials

Cited by 3 publications

References 14 publications

A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness

A Closer Look into Recent Video-based Learning Research: A Comprehensive Review of Video Characteristics, Tools, Technologies, and Learning Effectiveness

Aiding Software Developers' Information Seeking in Modern Communication Mediums

SCC-GPT: Source Code Classification Based on Generative Pre-Trained Transformers

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