Continuous learning from free-text human feedback, such as error corrections, new knowledge, or alternative responses, is essential for today's chatbots and virtual assistants to stay up-to-date, engaging, and socially acceptable. However, for research on methods for learning from such data, annotated data is scarce. To address this, we examine the error and user response types of six popular dialogue datasets from various types, including MultiWoZ, PersonaChat, Wizards-of-Wikipedia, and others, to assess their extendibility with the needed annotations. For this corpus study, we manually annotate a subset of each dataset with error and user response types using an improved version of the Integrated Error Taxonomy and a newly proposed user response type taxonomy. We provide the resulting dataset (EURTAD) to the community. Our findings provide new insights into dataset composition, including error types, user response types, and the relations between them.

Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?

The paper focuses on three basic topics: an online environment for sharing of in-novative teaching materials; design and implementation of modern teaching mate-rials; and description of advanced types of learning objects used in such materi-als.
In these days we are about to conclude a set of projects that deal with develop-ment of highly innovative teaching materials and the environments needed for their delivery to the target groups. The most visible output of these projects is an online portal that provides access to hundreds of completely new teaching ma-terials containing a large number of learning objects.
In the paper we explain the technical specifics of the online environment, teaching materials and individual learning objects, which have a significant added value compared to conventional teaching aids.

Massive Interactive Distance Learning Environments

Helping students develop problem solving skills is a common learning outcome in introductory physics which can be challenging to achieve, particularly in large enrollment courses. This presentation showcases one of our web-based Interactive video-enhanced tutorials (IVETs), which guides students through an expert-like problem-solving approach for a challenging problem involving a given topic, such as one dimensional motion involving two moving objects. IVETs include mini-lectures by a narrator interspersed with branching multiple choice questions that include feedback, allowing students who require less guidance to navigate the tutorials quickly, while students who struggle receive more support according to their needs. This presentation will focus on our One-Dimensional Kinematics IVET and provide details about its design features and impact on students’ problem-solving abilities.

Teaching Problem Solving in One-Dimensional Kinematics Using Interactive Video-enhanced Tutorials

We have made the use of smartphone applications a centerpiece of our efforts to reform the introductory labs in both our calculus-based and algebra-based classes. Students use smartphone applications in experiments completed in the lab (Bluetooth paired with sensors) and at home (using the native sensors in the phone). This has allowed us to reduce crowding in the lab, to give students a greater sense of agency in the experiments that they do, and to incorporate more sophisticated “data handling” in the learning goals for the labs. This talk will give an overview of the project and highlight several examples of labs in which smartphones play a prominent role.

Underline digital video library

Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?

Massive Interactive Distance Learning Environments

Teaching Problem Solving in One-Dimensional Kinematics Using Interactive Video-enhanced Tutorials

Smartphone applications as part of an introductory lab reform project

Embracing Inclusive Excellence an Accessibility in Teaching Practice

Life After MOOCs: Computer Science Education Needs a New Revolution

The UC IDFs Diversity Equity Inclusion (DEI) Rubric: Supporting Digital Teaching and Learning in Uncertain Times

One-Stop Support: An Integrated Model of Online Service

Teaching with Blended Technologies

Let's Get Active! Implementing Digital Active Learning Strategies

Concurrent Session 4d: Zoom Recording

Concurrent Session 1c: Zoom Recording

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