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Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century

Aras Bozkurt, Abdulkadir Karadeniz, David Baneres, Ana Elena Guerrero-Roldán, M. Elena Rodríguez
2021 Sustainability  
of AI-generated data, and (5) AI in higher education.  ...  and personalization of education through AI-based practices, (2) deep learning and machine Learning algorithms for online learning processes, (3) Educational human-AI interaction, (4) educational use  ...  Due to significant progress in theory and practice derived from the application of AI [12] and the potentials in educational data mining, learning analytics [50, 58] , it is further argued that AI is  ... 
doi:10.3390/su13020800 fatcat:r6tibpiydzaw5js4ebabzvd3jy

A Bibliometric Analysis of the Papers Published in the Journal of Artificial Intelligence in Education from 2015-2019

Clare Baek, Tenzin Doleck
2020 International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)  
To analyze the current research status and trends of the artificial intelligence in education field, we applied bibliometric methods to examine the articles published in one of the representative journals  ...  Through examining keywords, we found that the authors largely focused on students and learning.  ...  Learning Analytics and Educational Data Mining have become increasingly studied topics, especially in the most recent years [26] .  ... 
doi:10.3991/ijai.v2i1.14481 fatcat:gocnl3nsozgpfdi2behbehkcvy

Prerequisites for artificial intelligence in further education: identification of drivers, barriers, and business models of educational technology companies

André Renz, Romy Hilbig
2020 International Journal of Educational Technology in Higher Education  
The discourse analysis reveals a diametrical relationship between the traditional educational ideal and the futuristic idea of education and knowledge transfer.  ...  While the desire for flexibility and individualization drives the debate on AI-based learning systems, a lack of data sovereignty, uncertainty and a lack of understanding of data are holding back the development  ...  Relationships between learning analytics, data mining, and machine learning and artificial intelligence While the datafication of our social reality is increasingly growing, and hence, more processes of  ... 
doi:10.1186/s41239-020-00193-3 fatcat:h3co2cea3fgodmmkdg5wjpzvau

Four Paradigms in Learning Analytics: Why Paradigm Convergence Matters

Ryan S. Baker, Dragan Gašević, Shamya Karumbaiah
2021 Computers and Education: Artificial Intelligence  
The paper uses the proposed framework to analyze how learning analytics (ontological) is being methodologically influenced by recent trends in the fields of educational data mining (entatitive), quantitative  ...  Specifically, the paper presents a framework for analysis how contemporary fields focused on the study of data in education influence trends in learning analytics.  ...  The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.1016/j.caeai.2021.100021 fatcat:dgqggw3xinaifmu5bhwswndefe

Educational Data Mining and Learning Analytics in Higher Education

Padma Mishra, Vaishali B, Sangvikar
2018 MERI-Journal of Management & IT  
State and province wise graduated Learning Analytics, the Latest Data Mining Technique in Higher Education -Case Study  ...  Analytics, the Latest Data Mining Technique in Higher Education -Case Study characteristics.  ...  This can be achieved by, for example, customizing the framework to accommodate education and social partner requirements.  ... 
doi:10.25089/meri/2018/v12/i1/180120 fatcat:7tpgdwdaibgrbgcmcfwxkypqyu

Learning Analytics Contribution in Education and Child Development: A Review on Learning Analytics

Rahmadi Agus, Suzani Mohamad Samuri
2018 International journal of assessment and evaluation in education  
Learning Analytics is a new field of research that appears as a link between educator data and students.  ...  In this study, we aimed at investigating the application of learning analytics and how the learning process on child development in early childhood education.  ...  INTRODUCTION Learning Analytics emerges as a link between educator data and students.  ... 
doi:10.37134/ajatel.vol8.4 fatcat:utlbwgfmybcuvaojeredxtcgi4

Multidisciplinarity vs. Multivocality, the case of "learning analytics"

Nicolas Balacheff, Kristine Lund
2013 Proceedings of the Third International Conference on Learning Analytics and Knowledge - LAK '13  
We use this discussion as a springboard for addressing the term "Learning Analytics" and its relation to "Educational Data Mining".  ...  In this paper, we consider an analysis of the TeLearn archive, of the Grand Challenges from the STELLAR Network of Excellence, of two Alpine Rendez-Vous 2011 workshops and research conducted in the Productive  ...  Our thanks also go to Emilie Manon and Jérôme Zeiliger who carried out the treatment needed for the corpora of texts we use here.  ... 
doi:10.1145/2460296.2460299 dblp:conf/lak/BalacheffL13 fatcat:233tj7f3mnce7prpesrcs43hku

Applying Text Mining, Clustering Analysis, and Latent Dirichlet Allocation Techniques for Topic Classification of Environmental Education Journals

I-Cheng Chang, Tai-Kuei Yu, Yu-Jie Chang, Tai-Yi Yu
2021 Sustainability  
The corpus data were selected from abstracts and keywords of research journal papers, which were analyzed with text mining, cluster analysis, latent Dirichlet allocation (LDA), and co-word analysis methods  ...  of environmental education research journals in the Web of Science (WoS) database during 2011–2020 and interpret the categories and characteristics of abstracts for environmental education papers.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su131910856 fatcat:556eyupqqjah5fvtdz72ap3xo4

Contour detection, Curvature cell, Image processing, Machine vision, Biologically inspired computation, Visual object classification

Lijia Chen, Pingping Chen, Zhijian Lin
2020 IEEE Access  
Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and effects of AI in administration, instruction, and  ...  The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education.  ...  learning, learning analytics, and data mining are closely related technologies for education.  ... 
doi:10.1109/access.2020.2988510 fatcat:tc3fh6vp3vezpdl6e4ime6aefi

Big Data in Educational Institutions using RapidMiner to Predict Learning Effectiveness

Evaristus Didik Madyatmadja, David Jumpa Malem Sembiring, Sinek Mehuli Br Perangin Angin, David Ferdy, Johanes Fernandes Andry
2021 Journal of Computer Science  
can be mined for the learning experience.  ...  The use of Learning Management Systems gave birth to a data explosion in higher education which became an innovation for the world of education, namely Big Data.  ...  Data Analysis Technique Software RapidMiner is an environment for business analytics, to predictive, data mining, to mining and machine learning.  ... 
doi:10.3844/jcssp.2021.403.413 fatcat:7vyfzn7lyzbvjghb56ff6juo4m

Data Mining in Education : A Review on the Knowledge Discovery Perspective

Pratiyush Guleria, Manu Sood
2014 International Journal of Data Mining & Knowledge Management Process  
and patterns derived by the KDD process which helps in crucial decision-making.Data mining works with data warehouse and the whole process is divded into action plan to be performed on data: Selection,  ...  Data mining can be used to mine understandable meaningful patterns from large databases and these patterns may then be converted into knowledge.Data mining is the process of extracting the information  ...  data is used for machine learning and predictive analysis.DM works to analyze data stored in data warehouses and results in effective decision making [4] .  ... 
doi:10.5121/ijdkp.2014.4504 fatcat:5wldcmrngvgojhnwbb5nafze4a

An Empirical Study of the Applications of Data Mining Techniques in Higher Education

Dr. Varun, Anupama Chadha
2011 International Journal of Advanced Computer Science and Applications  
This paper addresses the applications of data mining in educational institution to extract useful information from the huge data sets and providing analytical tool to view and use this information for  ...  Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets.  ...  [8] describes how data mining techniques can be used to determine The student learning result evaluation system is an essential tool and approach for monitoring and controlling the learning quality.  ... 
doi:10.14569/ijacsa.2011.020314 fatcat:vpszk5jc6jcy3eaqozngftqbeu

Education 4.0 using artificial intelligence for students performance analysis

2020 Inteligencia Artificial  
learning analytics, and predictive modeling.  ...  Nowadays, predicting students' performance is one of the most specific topics for learning environments, such as universities and schools, since it leads to the development of effective mechanisms that  ...  technique (MLT), Educational Data Mining (EDM), and Learning Analytics (LA), federated learning-based educational data analysis framework FEEDAN methods.  ... 
doi:10.4114/intartif.vol23iss66pp124-137 fatcat:bz5mgalhzbexjagtwjehtxff5q

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

Hui Luan, Peter Geczy, Hollis Lai, Janice Gobert, Stephen J. H. Yang, Hiroaki Ogata, Jacky Baltes, Rodrigo Guerra, Ping Li, Chin-Chung Tsai
2020 Frontiers in Psychology  
, and specifically, the big data explosion and AI revolution can bring new opportunities (and challenges) that can be best leveraged for pedagogical practices and learning.  ...  The key research trends in the domains of big data and AI are associated with assessment, individualized learning, and precision education.  ...  Big data analytics employ a variety of technologies and tools, such as statistical analysis, data mining, data visualization, text analytics, social network analysis, signal processing, and machine learning  ... 
doi:10.3389/fpsyg.2020.580820 pmid:33192896 pmcid:PMC7604529 fatcat:zoasexwsdneuzpfeahzv6sl5g4

Big Educational Data & Analytics: Survey, Architecture and Challenges

Li-Minn Ang, Feng Lu Ge, Kah Phooi Seng
2020 IEEE Access  
Hadoop, Spark, Samza and Big data tools for Big education data; and (5) The fifth part presents different approaches of data analytics for Big education data.  ...  This paper gives several contributions to the state-of-the-art for Big data in higher education and learning technologies research.  ...  GRAPH ANALYTICS Graph analytics can be used to determine the strength and direction of relationships between objects in a graph.  ... 
doi:10.1109/access.2020.2994561 fatcat:hmso2cqoofajfgu67hhjzs4jyy
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