Cognitive Systems in Education Sector
Cognitive systems that understand learners and adapt teaching, feedback and assessment to them.
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What changed your mind: The roles of dynamic topics and discourse in argumentation process
J Zeng, J Li, Y He, C Gao, M Lyu, I King. Cited by 22
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Crisis resilience pedagogy (CRP) for teaching and learning
RS Chow, CM Lam, I King. Cited by 35
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Missing data imputation over academic records of electrical engineering students
E Jove, P Blanco-RodrÃguez, JL Casteleiro-Roca, H Quintián, et al. Cited by 36
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Attributed collaboration network embedding for academic relationship mining
W Wang, J Liu, T Tang, S Tuarob, F Xia, Z Gong, I King. Cited by 37
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Education technology for online learning in times of crisis
H Cai, I King. Cited by 39
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Discern: Discourse-aware entailment reasoning network for conversational machine reading
Y Gao, CS Wu, J Li, S Joty, SCH Hoi, C Xiong, I King, MR Lyu. Cited by 51
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What it Thinks is Important is Important: Robustness Transfers through Input Gradients
A Chan, Y Tay, YS Ong. Cited by 56
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Online learning during COVID-19: Students' perception of multimedia quality
D Pal, V Vanijja, S Patra. Cited by 57
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A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth
C Culley, S Vijayakumar, G Zampieri, C Angione. Cited by 97
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Using Machine Learning to Emulate Agent-Based Simulations
C Angione, E Silverman, E Yaneske. Cited by 3
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Online Micro-Modules Library Production for Fundamental Programming Courses with Active Learning
RS Chow, M Ho, I King. Cited by 2
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BigScholar 2019: The 6th Workshop on Big Scholarly Data
F Xia, H Liu, I King, K Wang