This systematic literature review explores the ethical considerations and challenges instructional designers face when integrating artificial intelligence (AI) into the instructional design process for adult learners. Using the Technological Pedagogical Content Knowledge (TPACK) framework to examine the relationship of ethics, pedagogy, and…

In contrast to traditional views of instructional design that are often focused on content development, researchers are increasingly exploring learning experience design (LXD) perspectives as a way to espouse a broader and more holistic view of learning. In addition to cognitive and affective perspectives, LXD includes perspectives on…

The aim of this study is to investigate the public opinion (i.e., the learners themselves) of apps incorporating emerging technologies Augmented Reality (AR) and Virtual Reality (VR) and find out how satisfied mobile platform users are with these technologies for educational purposes. We performed sentiment analysis of more than one million…

Online learning, especially in higher education, has grown in recent years and the study of its didactic implications has also increased. Online experiences have been found to be as successful as face-to-face ones, but there is a concern about a lack of social interaction among students. This makes it necessary for teachers to plan collaborative…

The purpose of this meta-analytic study is to evaluate the effects of innovative approaches and practices in teaching poetry on academic performance, including reading, writing, and understanding. A total of 574 studies were initially identified using relevant keywords from the Web of Science, Taylor & Francis, Science Direct, Scopus, and ERIC…

Artificial intelligence (AI) shows increasing potential to improve mathematics instruction, yet integrative quantitative evidence currently is lacking on its overall effectiveness and factors influencing success. This systematic review and meta-analysis investigate the effectiveness of AI on improving mathematics performance in K-12 classrooms…

Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…

While several studies have been conducted exploring teachers' pedagogical reasoning practices, few studies have explored the influence of learning audiences' impact on teacher's decisions related to technology integration in early childhood classrooms. The purpose of this study was to provide a systematic review of empirical studies that have…

Modeling is a widely adopted and frequently used strategy to prepare teacher candidates for technology integration. However, whether modeling as a strategy alone is enough for technology-infused teacher preparation programs is questionable. Therefore, the purpose of this paper is to describe an investigation of how teacher educators model…

This review examines instructional design principles from Behaviorist, Cognitivist, Constructivist, and Contemporary learning inspired models within the landscape of Arabic language education research. Specific characteristics from instructional design models such as ADDIE, Morrison, Ross, and Kemp, ASSURE, and Rapid Prototyping are explored…

Language learning has dramatically influenced the extensiveness of web-based learning, AI applications, smart content, personalized tutoring systems, virtual facilitators. This paper aims to review the empirical evidence on the application of intelligent agents in English learning to define the future research perspectives of Teachable…

This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and…

As we talked with school teachers about the use of physical computing systems in class, one major drawback of these systems became obvious: almost nobody--next to enthusiastic autodidacts--has been able to tell us on an abstract basis for which educational purposes a certain physical computing system can be used, i.e. in a goal-oriented way. This…

Recent research in technology-enhanced learning environments has indicated the need to redefine the role of teachers as designers. This supports successful learners better able to adapt to twenty-first century education, in particular STEM education. However, such a repositioning of teaching as a design science challenges teachers to…

Reflecting on 50 years of educational technology research, a content and authorship analysis was conducted of 1777 research article titles and abstracts, published in the "British Journal of Educational Technology" ("BJET") from 1970 to Issue 3, 2018. A text-mining tool (Leximancer) was used to identify key concepts and themes…