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With increasing interest in computer‐assisted educa‐ tion, AI‐integrated systems become highly applicable with their ability to adapt based on user interactions. In this context, this paper focuses on understanding and analysing first‐year undergraduate student responses to an intelligent educational system that applies multi‐agent reinforcement learning as an AI tutor. With human–computer interaction at the centre, we discuss principles of interface design and educational gamification in the context of multiple years of student observations, student feedback surveys and focus group interviews. We show positive feedback from the design methodology we discuss as well as the overall process of providing automated tutoring in a gamified virtual environment. We also discuss students' thinking in the context of gamified educational systems, as well as unexpected issues that may arise when implementing such systems. Ultimately, our design iterations and analysis both offer new insights for practical implementation of computer‐assisted educational systems, focusing on how AI can augment, rather than replace, human intelligence in the classroom. Practitioner notesWhat is already known about this topicAI‐integrated systems show promise for personalizing learning and improving student education.Existing research has shown the value of personalized learner feedback.Engaged students learn more effectively.What this paper addsStudent opinions of and responses to an HCI‐based personalized educational system.New insights for practical implementation of AI‐integrated educational systems informed by years of student observations and system improvements.Qualitative insights into system design to improve human–computer interaction in educational systems.Implications for practice and/or policyActionable design principles for computer‐assisted tutoring systems derived from first‐hand student feedback and observations.Encourage new directions for human–computer interaction in educational systems.
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Analysis of Human-Computer Interaction Implication in Cyber Security
This report was made to develop a deeper understanding of what could be done to help better protect computer systems through ways other than simply creating programs. Human error, negligence, and apathy are also problems when it comes to preventing issues with safely browsing the internet or preventing cyber-attacks. Warnings can become too wordy, not be concise enough, not be present enough to notice, and these basic issues can cause even bigger problems. When the layout and functions of a website or an operating system become unclear, there’s an entire branch of computer science principles that can be utilized to make it manageable for people to use, and that is where Human-Computer Interaction (HCI) comes in. By analyzing what makes specific HCI principles effective, the potential to reduce, or possibly eliminate, flaws within cyber security caused by users or perpetuated by poor design choices by the creator.
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- Award ID(s):
- 1754054
- PAR ID:
- 10284700
- Date Published:
- Journal Name:
- ADMI 2021: The Symposium of Computing at Minority Institutions
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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