This study investigates the design method of integrating design resources and design materials with an explanation of the foundations of cultural psychology. It focuses on the integration of design resources and design materials in product creative design. This article outlines the design process of integrating design resources and design…

The recent popularity of ChatGPT and artificial intelligence chatbots presents both challenges and opportunities for incorporating this modern technology in the classroom. This paper introduces an activity that uses ChatGPT to help students practice their role playing sales skills. The benefits of using this AI chatbot for role play training…

Artificial Intelligence (AI) technologies have increasingly become vital in our everyday lives. Education is one of the most visible domains in which these technologies are being used. Conversational Agents (CAs) are among the most prominent AI systems for assisting teaching and learning processes. Their integration into an e-learning system can…

Contribution: This study qualitatively uncovered meaning for why and what was motivating to undergraduates participating in an educational human-robot interaction (HRI) experience. A data corpus of four documents (groups) was evaluated from a quasi-experimental, nonequivalent control (n = 23) and treatment (n = 61) research design revealing three…

Considering that emotions have a great impact on motivation, reasoning, and decision making, affective computing methods, that were designed to attempt to understand and respond to human emotional states, have been used in more than one field including e-learning. Thus, a systematic literature review was conducted on 4 search engines resulting in…

With the digital revolution of artificial intelligence (AI) in language education, the way how people write and create stories has been transformed in recent years. Although recent studies have started to examine the roles of AI in literacy, there is a lack of systematic review to inform how it has been applied and what has been achieved in…

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…

The rapid development of artificial intelligence (AI) has transformed chatbots into generative pre-trained transformers (GPTs) capable of performing various tasks. The use of GPTs is expanding to learning, including natural sciences like chemistry. GPTs can assist students in understanding and solving chemistry problems. However, there are…

Technology-mediated interactions and datafication are increasingly central in contemporary social dynamics and institutions, including teaching and learning processes. In order to fully understand the complex entanglements of human and non-human actants that emerge in postdigital education, it is essential to imagine new methodological approaches…

ChatGPT becomes a prominent tool for students' learning of science when students "read" its scientific texts. Students read to learn about climate change misinformation using ChatGPT, while they develop critical awareness of the content, linguistic features as well as nature of AI and science to comprehend these texts. In this…

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,…

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…

Personalized learning systems use several components in order to create courses adapted to the learners'characteristics. Current emphasis on the reduction of costs of development of new resources has motivated the reuse of the e-learning personalization components in the creation of new components. Several systems have been proposed in the…