Monitoring workers in the public sector services presents distinctive challenges because output is multidimensional and preferences for each dimension vary across clients, but for legal and political reasons performance measures often have to be standardized and cannot be based on market prices. We show that this creates three types of bias and identify these biases by applying “value-added” pa...

In this contribution we discuss the duties and responsibilities which are important within teacher education to qualify for teaching students in the 21st century at school for acting competent in their future by including contemporary media in their learning. Based on a practiced teaching module the authors’ give an example, how to structure contemporary learning processes. This approach has be...

Automatic generation of paraphrases for a given sentence is an important yet challenging task in natural language processing (NLP), and plays a key role in a number of applications such as question answering, information retrieval and dialogue. In this paper we present a deep reinforcement learning approach to paraphrase generation. Specifically, we propose a new model for the task, which consi...

Childhood overweight and obesity are a growing concern globally, and environments, including the home and school, can contribute to this epidemic. This paper assesses the reliability of two questionnaires (parent and teacher) used in the evaluation of a community-based childhood obesity prevention intervention, the eat well be active (ewba) Community Programs. Parents and teachers were recruite...

The remarkable successes of deep learning models across various applications have resulted in the design of deeper networks that can solve complex problems. However, the increasing depth of such models also results in a higher storage and runtime complexity, which restricts the deployability of such very deep models on mobile and portable devices, which have limited storage and battery capacity...

Distance Education Course (DEC) has been becoming more and more popular in many universities with the fast development of the Internet technology. The communication between the teacher and the students in DEC environment, however, is a more difficult problem than that of conventional courses. This paper proposes a real-time evaluation method to enhance the communications between the teacher and...

This paper is the first to systematically document the relationship between individual teacher performance incentives and student achievement using the United States data. We combine data from the National Education Longitudinal Survey on schools, students, and their families with our own survey conducted in 2000 regarding the use of teacher incentives. This survey on teacher incentives has uni...

Despite significant accuracy improvement in convolutional neural networks (CNN) based object detectors, they often require prohibitive runtimes to process an image for real-time applications. State-of-the-art models often use very deep networks with a large number of floating point operations. Efforts such as model compression learn compact models with fewer number of parameters, but with much ...