http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/21935 2026-07-20T20:48:32Z 2026-07-20T20:48:32Z Sukhpal Singh Gill Rajkumar Buyya http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/72717 2026-05-22T19:11:59Z 2026-12-13T14:09:57Z

Transforming research with quantum computing Sukhpal Singh Gill; Rajkumar Buyya Quantum computing is a novel method of computation that uses the principles of quantum mechanics to handle highly challenging situations in a very short amount of time. Quantum technology has the ability to significantly impact worldwide advancement, even prior to the complete deployment of quantum machines. Quantum technology for communication, computation, and sensors has the capacity to revolutionise many industries, and several nations are making investments in this promising field. This includes research investments from both the public and commercial sectors. This article delves into the recent quantum computing advancements and the potential opportunities made possible by quantum technology in the next few decades. We outline a vision and scientific innovation for embracing the quantum age, as well as explore the pioneering applications of quantum computing. We also highlight software tools and platforms for quantum programming to unlock the power of computing and revolutionize the world. Finally, we identify the groundbreaking impacts of quantum computing on next-generation research and discuss the benefits of unleashing its revolutionary capabilities.

2026-12-13T14:09:57Z Zhinan Xu Zijun Liu Hang Luo http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/67836 2026-05-22T09:51:58Z 2025-12-13T14:09:57Z

Can Artificial Intelligence Technology Help Achieving Good Governance: A Public Policy Evaluation Method Based on Artificial Neural Network Zhinan Xu; Zijun Liu; Hang Luo Addressing the challenge of accurately evaluating public policy performance in response to citizens’ diverse needs remains a significant issue in governance. Traditional methods of public policy evaluation often lack responsiveness and precision, hindering the ability of governments to achieve good governance. The introduction of a public satisfaction index into policy evaluations can drive governments to proactively address these challenges. This paper proposes a systematic and applicable online public opinion index system, utilizing artificial neural networks and big data, to enhance the accuracy and timeliness of public policy evaluations. Guided by the theory of three elements of attitude in social psychology, the index system captures the public’s attraction to specific policies, their stance, and emerging issues during policy promotion. By leveraging empirical data and a deep learning model based on convolutional neural networks (CNN), the model achieves a high accuracy of 93.40%, surpassing most comparable models. This approach offers a more scientific basis for improving government decision-making and policy performance.

2025-12-13T14:09:57Z Yin Sun Zehang Chen Li Li http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/67837 2026-05-22T09:52:04Z 2025-12-13T14:09:57Z

Teaching Creative Thinking in the ELT Context: Beliefs and Practices Yin Sun; Zehang Chen; Li Li This study investigates English teachers’ beliefs and classroom practices regarding the teaching of creative thinking (CT) and explores the factors that hinder these practices. A mixed methods approach is adopted, drawing data from 63 middle school English teachers in China through questionnaires, semi-structured interviews, and classroom observation. The participants, with teaching experience ranging from three to 40 years, are recruited voluntarily from a teacher training program. Results indicate that the teachers overall assign importance to CT cultivation and creative pedagogy, and take steps to foster CT in English lessons. However, the participants are found to have an insufficient and biased understanding of CT and creative students. Additionally, instructional practices that hinder students’ CT development are also observed. This may be attributed to the teachers’ inadequate knowledge of CT and its cultivation, separated and conflicting beliefs about teaching English and CT, and a lack of support from the teaching community. This paper offers insights for English teachers, teacher educators, educational policymakers, and researchers interested in integrating CT cultivation into English education.

2025-12-13T14:09:57Z Ata B. Karagoz Wouter Kool Zachariah M. Reagh http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/68541 2026-05-22T11:23:06Z 2025-12-13T14:09:57Z

Free recall is shaped by inference and scaffolded by event structure Ata B. Karagoz; Wouter Kool; Zachariah M. Reagh Abstract Though everyday life is continuous, people understand and remember experiences as discrete events separated by boundaries. Event boundaries influence the temporal structure of memory, and have been proposed to enhance encoding of boundary-adjacent information. However, the extent to which event boundaries influence memory for specific items, and their effect on memory in interactive environments are not well understood. Here, we designed a task to test how boundaries between hidden rules and uncertainty about those rules affect free recall of item-level information. Participants (n = 66) responded to a sequence of individual word stimuli, with words grouped by hidden rules forming events, and abrupt shifts between rules causing event boundaries. Afterwards, participants freely recalled words from the task. Recall was clustered based on event structure, such that words from the same discrete event tended to be recalled together. Contrary to predictions of theories of event cognition, recall was worse for words encoded immediately after event boundaries. Finally, we used a reinforcement-learning model to characterize recall performance, allowing us to infer a positive relationship between decision certainty and recall success. These findings indicate that the structure of events and inferences made over that structure play important roles in shaping episodic memories.

2025-12-13T14:09:57Z