A conceptual framework of Intelligent Management Control System for Higher Education
Helena Dudycz, Marcin Hernes, Zdzislaw Kes, Eunika Mercier-Laurent, Bartlomiej Nita, Krzysztof Nowosielski, Piotr Oleksyk, L. Owoc Mieczyslaw, Rafal Palak, Maci… 展开作者
Helena Dudycz, Marcin Hernes, Zdzislaw Kes, Eunika Mercier-Laurent, Bartlomiej Nita, Krzysztof Nowosielski, Piotr Oleksyk, L. Owoc Mieczyslaw, Rafal Palak, Maciej Pondel, Krystian Wojtkiewicz
发表信息：
Artificial Intelligence for Knowledge Management IFIP AICT 614, 2021
The utilization of management control systems in university management poses a considerable challenge because university's strategic goals are not identical to those applied in profit-oriented management. A university's management control system should take into account the processing of management information for management purposes, allowing for the relationships between different groups of stakeholders. The specificity of the university operation assumes conducting long-term scientific research and educational programmes. Therefore, the controlling approach to university management should considerat long-term performance measurement as well as management in key areas such as research, provision of education to students, and interaction with the tertiary institution's socioeconomic environment.This paper aims to develop a conceptual framework of the Intelligent Management Control System for Higher Education (IMCSHE) based on cognitive agents. The main findings are related to developing the assumption, model, and technological basis including the artificial intelligence method.
The higher education has been greatly impacted by worldwide trends. In a result, the universities throughout the world are focusing to enhance performance and efficiency in their workings. Therefore, the higher education has moved their systems to Enterprise Resource Planning (ERP) systems to cope with the needs of changing environment. However, the literature review indicates that there is void on the evaluation of success or failure of ERP systems in higher education Institutes in Pakistan. In overall, ERP systems implementation in higher education of Pakistan has not been given appropriate …
Mobile Learning (M-Learning) is an emerging discipline in the area of education and educational technology. So researchers are trying to optimize and expanding its application in the field of education. The aim of this paper is to investigate the role of mobile devices and expert systems in disseminating and supporting the knowledge gained by intelligent tutors and to propose a system based on integration of intelligent M-Learning with expert systems. It acts as an intelligent tutor which can perform three processes - pre-test, learning concept and post-test - according to characteristic of th…
Efforts to enhance education and broaden participation in AI will benefit from a systematic understanding of the competencies underlying AI expertise. In this paper, we observe that AI expertise requires integrating computational, conceptual, and mathematical knowledge and representations. We call this the ``AI triplet,'' similar in spirit to the ``chemistry triplet'' that has heavily influenced the past four decades of chemistry education research. We describe a theoretical foundation for this triplet and show how it maps onto two sample AI topics: tree search and gradient descent. Finally, j…
Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions
School of Artificaial Intelligence, Anhui University（人工智能学院，安徽大学）；School of Computer Science and Technology, Anhui University（计算机科学与技术学院，安徽大学）；Institutes of Physical Science and Information Technology, Anhui University（物理科学与信息技术研究院，安徽大学）
The increasing pervasiveness of internet-connected systems means that such systems will continue to be exploited for criminal purposes by cybercriminals (including malicious insiders such as employees and vendors). The importance of protecting corporate system and intellectual property, and the escalating complexities of the online environment underscore the need for ongoing information security awareness and education training and the promotion of a culture of security among employees. Two honeypots were deployed at a private university based in Singapore. Findings from the analysis of the ho…
In this article, we present our findings from ten years of research on intelligent educational games. We discuss the architecture of our training environments for learning spelling and mathematics, and specifically focus on the representation of the content and the controller that enables personalized trainings. We first show the multi-modal representation that reroutes information through multiple perceptual cues and discuss the game structure. We then present the data-driven student model that is used for a personalized, adaptive presentation of the content. We further leverage machine learn…
With the rapid development of artificial intelligence (AI) community, education in AI is receiving more and more attentions. There have been many AI related courses in the respects of algorithms and applications, while not many courses in system level are seriously taken into considerations. In order to bridge the gap between AI and computing systems, we are trying to explore how to conduct AI education from the perspective of computing systems. In this paper, a course practice in intelligent computing architectures are provided to demonstrate the system education in AI era. The motivation for…
Beyond Flashcards: Designing an Intelligent Assistant for USMLE Mastery and Virtual Tutoring in Medical Education (A Study on Harnessing Chatbot Technology for Personalized Step 1 Prep)
The AI Literacy Heptagon: A Structured Approach to AI Literacy in Higher Education
Faculty of Social and Educational Sciences, University of Passau, Germany（社会与教育科学学院，帕绍大学，德国）；Faculty of Law, University of Passau, Germany（法学院，帕绍大学，德国）
Validating Intelligent Power and Energy Systems - A Discussion of Educational Needs
National Technical University of Athens（雅典国立技术大学）；AIT Austrian Institute of Technology（奥地利技术研究所）；HAW Hamburg University of Applied Sciences（汉堡应用科学大学）；OFFIS e.V.（OFFIS协会）；Delft University of Technology（代尔夫特理工大学）；Technical University of Denmark（丹麦技术大学）；European Distributed Energy Resources Lab. (DERlab) e.V.（欧洲分布式能源资源实验室）；TECNALIA Research & Innovation（德克拉尼亚研究与创新）；University of Strathclyde（思克莱德大学）
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
State Key Laboratory of Cognitive Intelligence（认知智能国家重点实验室）；University of Science and Technology of China（中国科学技术大学）；Institute of Artificial Intelligence（人工智能研究院）；Hefei Comprehensive National Science Center（合肥综合性国家科学中心）
Todays, Intelligent and web-based E-learning is one of regarded topics. So researchers are trying to optimize and expand its application in the field of education. The aim of this paper is developing of E-learning software which is customizable, dynamic, intelligent and adaptive with Pedagogy view for learners in intelligent schools. This system is an integration of adaptive web-based E-learning with expert systems as well. Learning process in this system is as follows. First intelligent tutor determines learning style and characteristics of learner by a questionnaire and then makes his model.…
Sensors have the capability of collecting engineering data and quantifying environmental changes, activities, or phenomena. Civil engineers lack of knowledge in sensor technology. Therefore, the vision of smart cities equipped with sensors informing decisions has not been realized to date. The cost associated with data acquisition systems, laboratories, and experiments restricts access to sensors for wider audiences. Recently, sensors are becoming a new tool in education and training, giving learners real-time information that can reinforce their confidence and understanding of scientific or e…
Anhui Province Key Lab. of Big Data Analysis and Application（安徽省大数据分析与应用重点实验室）；School of Computer Science and Technology, University of Science and Technology of China（中国科学技术大学计算机科学与技术学院）；iFLYTEK Research（科大讯飞研究院）
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts. Existing approaches usually mine linear interactions of student exercising process by manual-designed function (e.g., logistic function), which is not sufficient for capturing complex relations between students and exercises. In this paper, we propose a general Neural Cognitive Diagnosis (NeuralCD) framework, which incorporates neural networks to learn the complex exercising interactions, for getting both accurate and interpretable diagno…
The implementors of learning technologies within education environments often follow strategies that assume the educational environment within which they are being introduced is culturally neutral. A comprehensive literature review including 150 papers on educational technology challenges was undertaken. The purpose of this review is explore different contextual challenges to the adoption of educational technology in the higher education sector. The cultural factors that define the key stakeholders (e.g., teachers, lectures, students and support staff) are often ignored when the implementation…
Technische Hochschule Mittelhessen - University of Applied Sciences（米特黑森应用技术大学）；Justus-Liebig-University Gießen（吉森尤斯图斯-利比希大学）；Edinburgh Napier University（爱丁堡龙比亚大学）
Intelligent information systems that contain emergent elements often encounter trust problems because results do not get sufficiently explained and the procedure itself can not be fully retraced. This is caused by a control flow depending either on stochastic elements or on the structure and relevance of the input data. Trust in such algorithms can be established by letting users interact with the system so that they can explore results and find patterns that can be compared with their expected solution. Reflecting features and patterns of human understanding of a domain against algorithmic re…
Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence
College of Computing and Data Science, Nanyang Technological University, NTU, Singapore（南洋理工大学计算机与数据科学学院）；DeepMed Ptd Ltd, India（印度DeepMed公司）
University of British Columbia（不列颠哥伦比亚大学）；University College London（伦敦大学学院）
Interpretability of the underlying AI representations is a key raison d'être for Open Learner Modelling (OLM) -- a branch of Intelligent Tutoring Systems (ITS) research. OLMs provide tools for 'opening' up the AI models of learners' cognition and emotions for the purpose of supporting human learning and teaching. Over thirty years of research in ITS (also known as AI in Education) produced important work, which informs about how AI can be used in Education to best effects and, through the OLM research, what are the necessary considerations to make it interpretable and explainable for the benef…
