1/13/2024 0 Comments Pupil distance app![]() At the same time, Zawacki-Richter and his colleagues ( 2019) conducted a systematic review of AIEd publications from 2007 to 2018 and as a result found a lack of critical reflection of the ethical impact and risks of AI systems on learner–instructor interaction. For example, Roll and Wylie ( 2016) call for more involvement of AI systems in the communication between students and instructors, and in education applications outside school context. The AI in Education (AIEd) community is increasingly exploring the impact of AI systems in online education. It is important to examine how students and instructors perceive the impact of AI systems in online learning environments (Cruz-Benito et al., 2019). Instructors worry that relying too much on AI systems might compromise the student’s ability to learn independently, solve problems creatively, and think critically (Wogu et al., 2018). The behavior of AI agents that do not take into account the risk of data bias or algorithmic bias can be perceived by students as discriminatory (Crawford & Calo, 2016 Murphy, 2019). For instance, students may perceive indiscriminate collection and analysis of their data through AI systems as a privacy breach, as illustrated by the Facebook–Cambridge Analytica data scandal (Chan, 2019 Luckin, 2017). While the opportunities for AI are promising, students and instructors may perceive the impact of AI systems negatively. AI analytics allows instructors to understand students’ performance, progress, and potential by decrypting their clickstream data (Roll & Winne, 2015 Fong et al., 2019 Seo et al., 2021 Holstein et al., 2018). ![]() AI teaching assistants help instructors save time answering students’ simple, repetitive questions in online discussion forums, and instead instructors can dedicate their saved time to higher-value work (Goel & Polepeddi, 2016). For example, AI tutoring systems can provide personalized guidance, support, or feedback by tailoring learning content based on student-specific learning patterns or knowledge levels (Hwang et al., 2020). The opportunities for artificial intelligence (AI) in online learning and teaching are broad (Anderson et al., 1985 Baker, 2016 Roll et al., 2018 Seo et al., 2020b VanLehn, 2011), ranging from personalized learning for students and automation of instructors’ routine tasks to AI-powered assessments (Popenici & Kerr, 2017). Overall, contributions of this study include the design of AI system storyboards which are technically feasible and positively support learner–instructor interaction, capturing students’ and instructors’ concerns of AI systems through Speed Dating, and suggesting practical implications for maximizing the positive impact of AI systems while minimizing the negative ones. These findings have implications for the design of AI systems to ensure explainability, human-in-the-loop, and careful data collection and presentation. Although AI systems have been positively recognized for improving the quantity and quality of communication, for providing just-in-time, personalized support for large-scale settings, and for improving the feeling of connection, there were concerns about responsibility, agency, and surveillance issues. Findings show that participants envision adopting AI systems in online learning can enable personalized learner–instructor interaction at scale but at the risk of violating social boundaries. To address this need for forward-looking decisions, we used Speed Dating with storyboards to analyze the authentic voices of 12 students and 11 instructors on diverse use cases of possible AI systems in online learning. Thus, identifying how students and instructors perceive the impact of AI systems on their interaction is important to identify any gaps, challenges, or barriers preventing AI systems from achieving their intended potential and risking the safety of these interactions. In online learning, learner–instructor interaction (inter alia, communication, support, and presence) has a profound impact on students’ satisfaction and learning outcomes. ![]() ![]() However, while the opportunities for AI are promising, the impact of AI systems on the culture of, norms in, and expectations about interactions between students and instructors are still elusive. Artificial intelligence (AI) systems offer effective support for online learning and teaching, including personalizing learning for students, automating instructors’ routine tasks, and powering adaptive assessments.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |