Cognitive Learning Environment and Classroom Analytics (CLECA): A Method Based on Dynamic Data Mining Techniques

Keywords

• dynamic data mining
• Time series
• Sentiment analysis
• student attention
• real-time analytics
• educational data mining
• smart learning environments

CCDS Authors

Eshtiak Ahmed

Eshtiak Ahmed

• Collaborator, HCI Wing

Doctoral Researcher

Gamification Group

Tampere University, Finland

Published at

UbiComp, ICIP, HCII, IEEE Access

Research Interests

Human-Computer Interaction, Human-Robot Interaction, Gamification and Assistive Technologies

Ashraful Islam, PhD

Ashraful Islam, PhD

• Center Director, CCDS
• Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

References

1. 1.Mohamed Alloghani, Dhiya Al‐Jumeily, Jamila Mustafina, Abir Hussain, Ahmed J. Aljaaf. (2019). A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science. Unsupervised and semi-supervised learning, 3–21[10.1007/978-3-030-22475-2_1]
2. 2.Asif Karim, Sami Azam, Bharanidharan Shanmugam, Krishnan Kannoorpatti, Mamoun Alazab. (2019). A Comprehensive Survey for Intelligent Spam Email Detection. IEEE Access, 7, 168261–168295[10.1109/access.2019.2954791]
3. 3.Charoula Angeli, Sarah Howard, Jun Ma, Jie Yang, Paul A. Kirschner. (2017). Data mining in educational technology classroom research: Can it make a contribution?. Computers & Education, 113, 226–242[10.1016/j.compedu.2017.05.021]
4. 4.S. Iwin Thanakumar Joseph. (2019). SURVEY OF DATA MINING ALGORITHMS FOR INTELLIGENT COMPUTING SYSTEM. Journal of Trends in Computer Science and Smart Technology, 1(1), 14–23[10.36548/jtcsst.2019.1.002]
5. 5.Ayush Dogra, Parvinder Bhalla. (2014). Image Sharpening By Gaussian And Butterworth High Pass Filter. Biomedical & Pharmacology Journal, 7(2), 707–713[10.13005/bpj/545]
6. 6.Sathesh A.. (2019). ENHANCED SOFT COMPUTING APPROACHES FOR INTRUSION DETECTION SCHEMES IN SOCIAL MEDIA NETWORKS. Journal of Soft Computing Paradigm, 1(2), 69–79[10.36548/jscp.2019.2.002]
7. 7.Gwo Jen Hwang, Pi Hsia Hung, Nian Shing Chen, Gi‐Zen Liu. (2014). Mindtool-Assisted In-Field Learning (MAIL): An Advanced Ubiquitous Learning Project in Taiwan. Educational Technology & Society, 17(2), 4–16[link]
8. 8.Rabie Α. Ramadan, Hani Hagras, Moustafa Nawito, Amr El Faham, Bahaa Eldesouky. (2010). The Intelligent Classroom: Towards an Educational Ambient Intelligence Testbed. , 344–349[10.1109/ie.2010.70]
9. 9.Aman Kathed, Sami Azam, Bharanidharan Shanmugam, Asif Karim, Kheng Cher Yeo, Friso De Boer, Mirjam Jonkman. (2019). An Enhanced 3-Tier Multimodal Biometric Authentication. , 1–6[10.1109/iccci.2019.8822117]
10. 10.Haibing Ren, Guangyou Xu. (2003). Human action recognition in smart classroom. , 417–422[10.1109/afgr.2002.1004189]
11. 11.Samantha Pegg. (2005). Dictionary of Bioinformatics and Computational Biology. Briefings in Bioinformatics, 6(2), 211–212[10.1093/bib/6.2.211]
12. 12.Mohammed Basil Albayati, Ahmad Mousa Altamimi. (2019). An Empirical Study for Detecting Fake Facebook Profiles Using Supervised Mining Techniques. Informatica, 43(1)[10.31449/inf.v43i1.2319]
13. 13.Adam Wong, Sylvia Chong. (2018). Modelling adult learners’ online engagement behaviour: proxy measures and its application. Journal of Computers in Education, 5(4), 463–479[10.1007/s40692-018-0123-z]
14. 14.Ahmed Al Marouf, Adnan Ferdous Ashrafi, Tanveer Ahmed, Tarikuzzaman Emon. (2019). A Machine Learning based Approach for Mapping Personality Traits and Perceived Stress Scale of Undergraduate Students. International Journal of Modern Education and Computer Science, 11(8), 42–47[10.5815/ijmecs.2019.08.05]
15. 15.Charles P. Schmidt, Moya L. Andrews, John W. McCutcheon. (1998). An acoustical and perceptual analysis of the vocal behavior of classroom teachers. Journal of Voice, 12(4), 434–443[10.1016/s0892-1997(98)80052-0]
16. 16.Sanghun Bang, Charles Tijus. (2018). Problem Solving using Recurrent Neural Network based on the Effects of Gestures. , 211–216[10.5220/0006931802110216]
17. 17.Nona A. Prestine, Barbara F. LeGrand. (1991). Cognitive Learning Theory and the Preparation of Educational Administrators: Implications for Practice and Policy. Educational Administration Quarterly, 27(1), 61–89[10.1177/0013161x91027001004]
18. 18.Jannat Talwar, Shree Ranjani, Anwaya Aras, Mangesh Bedekar. (2013). Intelligent Classroom System for Qualitative Analysis of Students' Conceptual Understanding. , 25–29[10.1109/icetet.2013.6]
19. 19.Feng Chen, Yi‐Ping Phoebe Chen. (2004). Association Rule Mining (Frequent Itemset, Association Rule, Support, Confidence, Correlation Analysis). Dictionary of Bioinformatics and Computational Biology[10.1002/9780471650126.dob0810]

Cited By

1. 1.F. M. Javed Mehedi Shamrat, Anup Majumder, Probal Roy Antu, Saykot Kumar Barmon, Itisha Nowrin, Rumesh Ranjan. (2022). Human Face Recognition Applying Haar Cascade Classifier. Lecture notes in networks and systems, 143–157[10.1007/978-981-16-5640-8_12]
2. 2.F.M. Javed Mehedi Shamrat, Sovon Chakraborty, Md. Masum Billah, Md. Al Jubair, Md Saidul Islam, Rumesh Ranjan. (2021). Face Mask Detection using Convolutional Neural Network (CNN) to reduce the spread of Covid-19. 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 1231–1237[10.1109/icoei51242.2021.9452836]
3. 3.F.M. Javed Mehedi Shamrat, Sovon Chakraborty, Md. Masum Billah, Protiva Das, Jannatun Naeem Muna, Rumesh Ranjan. (2021). Retracted: A comprehensive study on pre-pruning and post-pruning methods of decision tree classification algorithm. 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 1339–1345[10.1109/icoei51242.2021.9452898]
4. 4.Sovon Chakraborty, F.M. Javed Mehedi Shamrat, Saima Afrin, Shaikat Saha, Ishtiak Ahmed, Sittal Thapa. (2021). Industrial Fault Detection Using Transfer Learning Models. 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 1–6[10.1109/icosec51865.2021.9591740]
5. 5.Musfiqur Rahman Foysal, Nazmun Nessa Moon, Ms. Asma Mariam, Israt Jahan, Fernaz Narin Nur. (2021). Advanced Plant Disease Detection By Using Tensorflow. 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), 1–4[10.1109/smartgencon51891.2021.9645807]
6. 6.Tamanna Rahaman, Md. Muktar Hossain, Fahmida Haque Mim, Farah Wahida. (2021). Privacy Preserving Publication of Educational Data. 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), 6, 1–4[10.1109/acmi53878.2021.9528126]
7. 7.Jarin Nooder, Ashrarfi Mahbuba, Shayla Sharmin, Nazmun Nessa Moon, Lamisha Haque Poushy, Salauddin Ahmed Bhuiyan, Samia Nawshin. (2021). Machine Learning Approach to Find Students' Best Place to Study: Home vs Hostel. , 3, 123–129[10.1109/icitech50181.2021.9590130]