11,024 research outputs found

    Network-Based Classrooms

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    Computer-mediated communication is an increasingly familiar part of the educational experiences of students from elementary school through graduate school. This is not surprising, because electronic mail, bulletin boards, gopher servers, and other forms of telecommunication offer conveniences and exciting new possibilities for learning. The rapid expansion of the Internet, the availability of low-cost modems and high-speed data lines, and a growing awareness of the educational possibilities are leading to major changes in classrooms. The many ways in which network-based classrooms are used highlights questions about the goals and means of education that are too often pushed aside. By affording new ways of communicating, these classrooms ask us to rethink questions such as: What role should the teacher have in the classroom? How can students support each other???s learning? What kinds of writing should students learn to do? How should we accommodate, or balance, student interests with other curricular concerns? What is needed to make a classroom become a true learning community? In addition to raising these questions, they provide us with new possibilities for answering them.published or submitted for publicationis peer reviewe

    Comment: The coming tornado?

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    An extended review of John S. Daniel's Mega‐Universities and the Knowledge Media: Technology Strategies for Higher Education (London: Kogan Page, 1996; 212 pages, ISBN: 0–7494–2119–3)

    The responses of people to virtual humans in an immersive virtual environment

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    This paper presents an experiment investigating the impact of behavior and responsiveness on social responses to virtual humans in an immersive virtual environment (IVE). A number of responses are investigated, including presence, copresence, and two physiological responses—heart rate and electrodermal activity (EDA). Our findings suggest that increasing agents’ responsiveness even on a simple level can have a significant impact on certain aspects of people’s social responses to humanoid agents. Despite being aware that the agents were computer-generated, participants with higher levels of social anxiety were significantly more likely to avoid “disturbing” them. This suggests that on some level people can respond to virtual humans as social actors even in the absence of complex interaction. Responses appear to be shaped both by the agents’ behaviors and by people’s expectations of the technology. Participants experienced a significantly higher sense of personal contact when the agents were visually responsive to them, as opposed to static or simply moving. However, this effect diminished with experienced computer users. Our preliminary analysis of objective heart-rate data reveals an identical pattern of responses

    A Speaker Diarization System for Studying Peer-Led Team Learning Groups

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    Peer-led team learning (PLTL) is a model for teaching STEM courses where small student groups meet periodically to collaboratively discuss coursework. Automatic analysis of PLTL sessions would help education researchers to get insight into how learning outcomes are impacted by individual participation, group behavior, team dynamics, etc.. Towards this, speech and language technology can help, and speaker diarization technology will lay the foundation for analysis. In this study, a new corpus is established called CRSS-PLTL, that contains speech data from 5 PLTL teams over a semester (10 sessions per team with 5-to-8 participants in each team). In CRSS-PLTL, every participant wears a LENA device (portable audio recorder) that provides multiple audio recordings of the event. Our proposed solution is unsupervised and contains a new online speaker change detection algorithm, termed G 3 algorithm in conjunction with Hausdorff-distance based clustering to provide improved detection accuracy. Additionally, we also exploit cross channel information to refine our diarization hypothesis. The proposed system provides good improvements in diarization error rate (DER) over the baseline LIUM system. We also present higher level analysis such as the number of conversational turns taken in a session, and speaking-time duration (participation) for each speaker.Comment: 5 Pages, 2 Figures, 2 Tables, Proceedings of INTERSPEECH 2016, San Francisco, US
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