CASTing a Net: Supporting Teachers with Search Technology
- URL: http://arxiv.org/abs/2105.03456v1
- Date: Fri, 7 May 2021 18:13:49 GMT
- Title: CASTing a Net: Supporting Teachers with Search Technology
- Authors: Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey
Kennington, Maria Soledad Pera
- Abstract summary: We argue for the need to broaden the research focus to include teachers and how search technology can aid them.
In particular, we share how furnishing a behind-the-scenes portal for teachers can empower them by providing a window into the spelling, writing, and concept connection skills of their students.
- Score: 3.325250482015064
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: Past and current research has typically focused on ensuring that search
technology for the classroom serves children. In this paper, we argue for the
need to broaden the research focus to include teachers and how search
technology can aid them. In particular, we share how furnishing a
behind-the-scenes portal for teachers can empower them by providing a window
into the spelling, writing, and concept connection skills of their students.
Related papers
- A Design Space for Intelligent and Interactive Writing Assistants [55.9780345526642]
We explore five aspects of writing assistants: task, user, technology, interaction, and ecosystem.
Within each aspect, we define dimensions (i.e., fundamental components of an aspect) and codes (i.e., potential options for each dimension) by systematically reviewing 115 papers.
Our design space aims to offer researchers and designers a practical tool to navigate, comprehend, and compare the various possibilities of writing assistants.
arXiv Detail & Related papers (2024-03-21T04:03:16Z) - From Assistive Technologies to Metaverse: Technologies in Inclusive
Higher Education for Students with Specific Learning Difficulties [3.653307171342612]
Students with learning difficulties will be greatly benefited from the use of assistive technologies.
We aim to conduct this review to better understand the role of assistive technologies in providing inclusive higher education for students with learning difficulties.
arXiv Detail & Related papers (2023-05-05T05:20:21Z) - Enhancing Textbooks with Visuals from the Web for Improved Learning [50.01434477801967]
In this paper, we investigate the effectiveness of vision-language models to automatically enhance textbooks with images from the web.
We collect a dataset of e-textbooks in the math, science, social science and business domains.
We then set up a text-image matching task that involves retrieving and appropriately assigning web images to textbooks.
arXiv Detail & Related papers (2023-04-18T12:16:39Z) - The Semantic Reader Project: Augmenting Scholarly Documents through
AI-Powered Interactive Reading Interfaces [54.2590226904332]
We describe the Semantic Reader Project, a effort across multiple institutions to explore automatic creation of dynamic reading interfaces for research papers.
Ten prototype interfaces have been developed and more than 300 participants and real-world users have shown improved reading experiences.
We structure this paper around challenges scholars and the public face when reading research papers.
arXiv Detail & Related papers (2023-03-25T02:47:09Z) - Conversational Agents and Children: Let Children Learn [3.5674815260438764]
We discuss the need to design, develop, and deploy (conversational) agents that can guide children in their quest for online resources.
We argue that agents should "let children learn" and should be built to take on a teacher-facilitator function.
arXiv Detail & Related papers (2023-02-23T14:12:03Z) - Chatbots and messaging platforms in the classroom: an analysis from the
teacher's perspective [0.4310167974376403]
We have surveyed the opinions of tertiary education teachers based in Spain (mainly) and Spanish-speaking countries.
The focus of these surveys is to collect teachers' feedback about their opinions regarding the introduction of the messaging platforms and chatbots in their classes.
An analysis of how and when teachers' opinions towards the use of these tools can vary across gender, experience, and their discipline of specialisation is presented.
arXiv Detail & Related papers (2022-01-25T13:04:45Z) - Iterative Teacher-Aware Learning [136.05341445369265]
In human pedagogy, teachers and students can interact adaptively to maximize communication efficiency.
We propose a gradient optimization based teacher-aware learner who can incorporate teacher's cooperative intention into the likelihood function.
arXiv Detail & Related papers (2021-10-01T00:27:47Z) - All Together Now: Teachers as Research Partners in the Design of Search
Technology for the Classroom [3.7448613209842967]
We showcase the value of involving teachers in all aspects related to the design of search tools for the classroom.
We share insights on the role of the experts-in-the-loop, i.e., teachers who provide the connection between search tools and students.
arXiv Detail & Related papers (2021-05-08T14:25:44Z) - Interactive Knowledge Distillation [79.12866404907506]
We propose an InterActive Knowledge Distillation scheme to leverage the interactive teaching strategy for efficient knowledge distillation.
In the distillation process, the interaction between teacher and student networks is implemented by a swapping-in operation.
Experiments with typical settings of teacher-student networks demonstrate that the student networks trained by our IAKD achieve better performance than those trained by conventional knowledge distillation methods.
arXiv Detail & Related papers (2020-07-03T03:22:04Z) - Neural Multi-Task Learning for Teacher Question Detection in Online
Classrooms [50.19997675066203]
We build an end-to-end neural framework that automatically detects questions from teachers' audio recordings.
By incorporating multi-task learning techniques, we are able to strengthen the understanding of semantic relations among different types of questions.
arXiv Detail & Related papers (2020-05-16T02:17:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.