Adeeb M. Jarrah

This study aims to review the existing literature on using ChatGPT in academic writing and its implications regarding plagiarism. Various databases, including Scopus, Google Scholar, ScienceDirect, and ProQuest, were searched using specific keywords related to ChatGPT in academia, academic research, higher education, academic publishing, and ethical challenges. The review provides an overview of studies investigating the use of ChatGPT in academic writing and its potential association with plagiarism. The results of this study contribute to our understanding of the use and misuse of ChatGPT in academic writing, considering the growing concern regarding plagiarism in higher education. The findings suggest that ChatGPT can be a valuable writing tool; however, it is crucial to follow responsible practices to uphold academic integrity and ensure ethical use. Properly citing and attributing ChatGPT’s contribution is essential in recognizing its role, preventing plagiarism, and upholding the principles of scholarly writing. By adhering to established citation guidelines, authors can maximize ChatGPT’s benefits while maintaining responsible usage.

Most blended graduate courses engage students in peer feedback activities based on sociocultural theories of learning. Despite its growing importance, little is known about the quality and type of feedback that graduate students provide to their peers in online learning settings. This study aimed to explore the quality and type of feedback that graduate students provided to each other during online learning activities that took place in a blended course at a higher education institution in the United Arab Emirates. Volunteer students (n = 24) from four different sections of a graduate course were the participants of this study. The students’ feedback to each other in two online discussion forums and in the final assessment paper were the data sources of this study. Qualitative data analysis methods were used to analyze the data. Based on the related literature, we analyzed the data from three perspectives: the type of feedback function (affirmation/negation, justification/explanation, praise, suggestion, question), the level of feedback (task, process, self-regulation), and the quality of each instance of feedback (ineffective, slightly effective, partly effective, effective) to investigate the nature of the peer feedback in detail. The data analysis indicated that graduate students might need support in providing high-quality feedback to their peers. The findings might help instructors improve the existing online or blended course designs.

This study aims to examine the perspectives of various stakeholders, such as students and educators, on the use of artificial intelligence in teaching mathematics, specifically after the launch of ChatGPT. The study adopts a qualitative case study approach consisting of two stages: content analysis of interviews and investigation of user experience. The first stage of the study shows that ChatGPT is recognized for its improved math capabilities and ability to increase educational success by providing users with basic knowledge of mathematics and various topics. ChatGPT can offer comprehensive instruction and assistance in the study of geometry, and the public discourse on social media is generally positive, with enthusiasm for the use of ChatGPT in teaching mathematics and educational settings. However, there are also voices that approach using ChatGPT in educational settings with caution. In the second stage of the study, the investigation of user experiences through three educational scenarios revealed various issues. ChatGPT lacks a deep understanding of geometry and cannot effectively correct misconceptions. The accuracy and effectiveness of ChatGPT solutions may depend on the complexity of the equation, input data, and the instructions given to ChatGPT. ChatGPT is expected to become more efficient in resolving increasingly complex mathematical problems. The results of this investigation propose a number of avenues for research that ought to be explored in order to guarantee the secure and conscientious integration of chatbots, especially ChatGPT, into mathematics education and learning.