The increasing ubiquity of digital technologies in the twenty-first century has led to calls for education reform focused on digital literacy, but what exactly does this term mean? The concept of digital literacy has evolved much since its evolution from media and new literacies scholarship, resulting in a myriad of definitions. Previous attempts…

Recently, generative AI has been at the center of disruptive innovation in various settings, including educational sectors. This article investigates ChatGPT, which is one of the most prominent generative AI in the market, to explore its usefulness and potential for instructional design. Four researchers used a set of prompts to generate a course…

Intelligent tutoring systems are effective for improving students' learning outcomes (Pane et al. 2013; Koedinger and Anderson, "International Journal of Artificial Intelligence in Education," 8, 1-14, 1997; Bowen et al. "Journal of Policy Analysis and Management," 1, 94-111 2013). However, constructing tutoring systems that…

Instructional designers make numerous decisions daily to perform their job, for example, what authoring tool to use, what model or strategy to use, and what design process to use to develop learning solutions. Decision-making is important in the field of instructional design. The literature revealed many factors or variables instructional…

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 the ever-evolving landscape of education, you have most likely experienced a significant expansion in your teaching responsibilities. Your role may have stretched to encompass being proficient in various technology platforms, nurturing the social and emotional learning of your students, and adjusting to amplified documentation requirements.…

Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…

Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…

Purpose: The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain. Design/methodology/approach: A scoping review was conducted using six…

This study examined how an online instructional module that included an unplugged robot design activity integrated computational thinking (CT), assistive technology (AT), and universal design principles into a preservice teacher education class. The research focused on how this module shaped understanding, attitudes, and comfort levels about…

This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…

This qualitative study interviewed twelve (n=12) instructional design and learning technology leaders from the K12, higher education, nonprofit, and corporate sectors to identify trends and challenges that were impacting their work and the work of their teams. Results included technology trends (e.g., artificial intelligence, augmented and virtual…

Artificial Intelligence in Education (AIEd) is an emerging interdisciplinary field that applies artificial intelligence technologies to transform instructional design and student learning. However, most research has investigated AIEd from the technological perspective, which cannot achieve a deep understand of the complex roles of AI in…

Background: Automatically graded programming assignments provide instant feedback to students and significantly reduce manual grading time for instructors. However, creating comprehensive suites of test cases for programming problems within automatic graders can be time-consuming and complex. The effort needed to define test suites may deter some…

This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation…