My article review

Many fascinating and helpful papers were read and studied throughout our ITL program. We were required to select the article we thought was the most beneficial and write an article review as part of our course work for the ITL module.    

The development of technology has changed how we study, live, and work. One such technology that has the potential to completely transform the educational landscape is artificial intelligence (AI). Tools with AI capabilities can improve teaching, customize learning, and raise student achievement levels. As a result, I chose the article "AI technologies for education: Recent research & future directions" for my article review. It presents a thorough analysis of a number of research papers on artificial intelligence in education (AIEd) published between 1993 and 2020 that have been gathered in the Web of Sciences database and a number of AIEd-specific journals. It highlights particular AIEd technologies and applications, examines the proven and potential educational benefits of these technologies and applications, fills the gap between the development of AI technology and its applications in education, and offers real-world examples and inspiration for both technologists and educators. So, let's get started and investigate how AI technologies can change education as we now know it. 

The article titled "AI technologies for education: Recent research & future directions" is written by Ke Zhang (Professor in Learning Design and Technology Program at Wayne State University in Detroit, Michigan, USA) and Dr. Ayse Begum Aslan (A project Management and Grant Support Consultant at Eastern Michigan University in Ypsilanti, Michigan, USA). The article was published in the Science Direct website in 2021. The collaborative approach throughout multiple analyses ensured a high reliability and trustworthiness of the review. Artificial intelligence in education (AIEd) research has been conducted in many countries around the world, with the most prolific countries being the USA, China, Hong Kong, Taiwan, Turkey, and Spain. Other countries contributing to the increasing body of AIEd research include Australia, Brazil, Canada, France, Greece, Japan, Korea, Pakistan, Slovenia, Sweden, UAE and UK. The 40 research articles reviewed in this study reported various empirical studies in both K-12 and higher education systems. AI was implemented and examined in a wide variety of subject areas, such as science, medicine, arts, sports, engineering, mathematics, technologies, foreign language, business, history and more. The largest number of AIEd research studies (n = 14) were in engineering, computer science, information technology (IT), or informatics. Three studies investigated AIEd in multiple disciplines (i.e., Cheung et al., 2003; Dias et al., 2015; Xie et al., 2017). 

 

Examples in Fig. 1 showcase how students and educators may benefit from AI-enhanced learning systems or experiences. The advancement of AI brings exciting opportunities to education, but it is important to bridge the gaps between AI technological innovations and its educational applications. Fig. 2 summarizes some of the most widely applied AIEd technologies and their proven or potential benefits for education.  

 

AIEd may facilitate varied interactions, increase learner engagement, generate adaptive learning materials, offer meta-cognitive prompts, provide enriched learning environments, and improve learning outcomes. Additionally, AIEd may provide predictive models, identify gifted or at-risk students, monitor the learning progress, create personalized learning materials, assessments and feedback, and analyze scaled data instantly for evaluation or administrative purposes. 

AI technology is getting better and better quickly, and its use in education is likely to grow quickly in the near future. AI technologies have a lot of potential in education, especially to increase access to learning opportunities, scale up personally customized learning experiences, and improve methods and strategies for desired learning results. Some experts have suggested that teachers or parts of teachers' jobs could be done by AI robots. In the United States, the first AI teaching assistant robots, called Happy Numbers, have already been working in schools. 

However, this review is limited in its scope due to the selection of source database and journals, as well as the specific identifiers used in the search efforts. Future reviews may extend the search scope to include other reputable databases, specialized journals, or peer-reviewed conference proceedings. Additionally, future reviews should be mindful of the search results, as sometimes publications on other topics, such as game-based learning, appear in the search results. Finally, future reviews may focus on specific AI technologies or their applications in education, or a sub-field of AIEd, or apply different search strategies and selection criteria. 

Overall, the article "AI technologies for education: Recent research & future directions" provides a comprehensive overview of the benefits and challenges of using AI in education. While there are many potential benefits to using AI tools in education, it is important to consider the potential limitations and ethical concerns associated with their use. In the future, AI tools are likely to become even more prevalent in education. As educators seek to personalize learning experiences for students and improve educational outcomes, AI tools will play an increasingly important role. However, it is important to ensure that the use of AI tools in education is ethical, transparent, and equitable, so that all students have equal access to high-quality education.