With an increase in interactions with non-human agents, understanding and forecasting the consequences of human interactions with them have become increasingly crucial. The present study focused on a subset of non-human agents known as virtual characters. To investigate whether people respond in the same way to a virtual character as they do to a…

Large language models (LLMs), such as ChatGPT, are becoming increasingly prominent. Their use is becoming more and more popular to assist with simple tasks, such as summarizing documents, translating languages, rephrasing sentences, or answering questions. Reports like McKinsey's (Chui, & Yee, 2023) estimate that by implementing LLMs,…

Although AI in education has been written about for decades, recent years have seen exponential growth in this area. The aim of this paper was to determine the distribution of content and areas of education in which AI is researched. The article provides an overview of the newest research in the field of AI in education, available in open access…

Interventions utilizing human-computer interaction (HCI) in autism rehabilitation have gained popularity, yet their efficacy has not been fully elucidated. This meta-analysis assessed 30 international studies from the past decade that employed HCIs for autism intervention. The findings revealed a moderate positive effect (g = 0.484) on improving…

Large Language Models (LLMs) present a radically new paradigm for the study of "information foraging behavior." We study how LLM technology is used for pedagogical content creation by a sample of 25 participants in a doctoral-level Artificial Intelligence (AI) in Education course, and the role of computational-thinking skills in shaping…

The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…

The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…

This article explores the integration of ChatGPT into instructional design, utilizing a backward planning framework to align learning objectives, assessments, and activities for enhanced educational outcomes. Grounded in the principles of Understanding by Design (UbD) the paper introduces a threestep human-AI hybrid co-design model that enables…

Since the advent of chatbots enabled by Generative AI such as ChatGPT, their application in the domain of education has been linked to promises of personalizing learning (PL). Through a study of conversational interactions of graduate students with such chatbots, this paper provides an empirical study of how current ChatGPT technologies can enable…

The rise of generative artificial intelligence (GAI), especially with multimodal large language models like GPT-4o, sparked transformative potential and challenges for learning and teaching. With potential as a cognitive offloading tool, GAI can enable learners to focus on higher-order thinking and creativity. Yet, this also raises questions about…

This paper presents the findings of a pilot study on the use of generative AI (GAI) in tutorial sessions within a large-scale distance education institution in Indonesia. The primary aim of the experiment was to assess the impact of GAI-based tutoring on student engagement and academic achievement. A secondary objective was to explore how GAI…

Interactional Competence (IC) is an important subcomponent of oral proficiency, but many computer-mediated oral English assessments fall short in assessing this construct mainly due to technological limitations. Spoken Dialogue Systems (SDSs) have shown promise in assessing L2 oral communication, yet further investigation is needed on their…

Social robot in service is radically changing the ways of performing tasks and it becomes a distinct and valuable nascent. To achieve persist autonomy, robotic systems implement a closed-loop consisting of at least planning, reasoning and acting phases. From the continual loop perspective, this paper presents the ROSPlan framework, as a task…

Attrition in longitudinal studies is a major threat to the representativeness of the data and the generalizability of the findings. Typical approaches to address systematic nonresponse are either expensive and unsatisfactory (e.g., oversampling) or rely on the unrealistic assumption of data missing at random (e.g., multiple imputation). Thus,…

During data collection, field interviewers often append notes or comments to a case in open text fields to request updates to case-level data. Processing these comments can improve data quality, but many are non-actionable, and processing remains a costly manual task. This article presents a case study using a novel application of machine learning…