Educational chatbots (ECs) are chatbots designed for pedagogical purposes and are viewed as an Internet of Things (IoT) interface that could revolutionize teaching and learning. These chatbots are strategized to provide personalized learning through the concept of a virtual assistant that replicates humanized conversation. Nevertheless, in the…

With the progression of economic globalisation, China's expectations about the quality of English teaching in the country have increased, and because of the restrictive drawbacks of orthodox English teaching models, they cannot meet these requirements. The emergence of artificial intelligence (AI) technology can create new opportunities for the…

Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…

This book starts with the premise that beauty can be an engine of transformation and authentic engagement in an increasingly complex world. It presents an organized picture of highlights from the 13th European Science Education Research Association Conference, ESERA 2019, held in Bologna, Italy. The collection includes contributions that discuss…

In the United States the number of English Language Learner students is steadily increasing. Many ELLs speak and understand limited English, resulting in achievement that lags far behind that of their classmates (Thomas, 2015). Recruiting the support of educators who come in contact with ELL students on a daily basis promoted a solution to this…

The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students' trends of activities towards success and risk and design intervention methods to improve learning performance and experience. However, many factors contribute to the challenge of designing and building effective…

Variability is intrinsic to human speech production. One approach to understand variability in speech is to decompose it into task-irrelevant ("good") and task-relevant ("bad") parts with respect to speech tasks. Based on the uncontrolled manifold (UCM) approach, this dissertation investigates how vowel token-to-token…

Due to the ongoing digitalisation of workplaces and educational settings, human activity underpinning learning and work is increasingly mediated by technology. The advancement of artificial intelligence (AI) and its integration into everyday technologies influences how people are exposed to information, interact, learn and make decisions. We argue…

This dissertation investigates the ways that natural languages evolve and what it means in the overall cultural evolution of society. Computational and modeling advances have made possible to explore large-scale text data and test hypothesis of language evolution. Similar to biological systems, natural languages are evolving systems with words as…

Army Futures Command (AFC) has the implicit mission of ensuring that the Army does not get locked into a technology that might be ineffective in a future of competition and conflict. In this dissertation I develop insights and tools that can help assess and inform AFC's efforts to understand and avoid undesirable technological lock-in. I started…

Conventional nursing courses have solely adopted lecture-based instruction for knowledge delivery, which tends to lack interaction, rehearsal, and personalized feedback. The development of chatbot technologies and their broad application have provided an opportunity to solve the abovementioned problems. Some knowledge-based chatbot systems have…

Background: Digital-first assessments leverage the affordances of technology in all elements of the assessment process--from design and development to score reporting and evaluation to create test taker-centric assessments. Objectives: The goal of this paper is to describe the engineering, machine learning, and psychometric processes and…

The contexts of social and political polarization are generating new forms of communication that affect the digital public sphere. In these environments, different social and political actors contribute to extreme their positions, using bots to create spaces for social distancing where hate speech and incivility have a place, a phenomenon that…

Due to the advent of big data and efficient computational resources, artificial intelligence (AI) and machine learning (ML) have seen massive growth in recent years. Informatics degree programs are scrambling to meet the ever-increasing market demand of such professions. To explore the skillsets required for AI and ML positions, the authors…

Purpose: This paper aims to present a comprehensive review of the present state and trends of smart education research. It addresses the need to have a systematic review of smart education to depict its research landscape in view of the growing volume of related publications. Design/methodology/approach: A bibliometric analysis of publications on…