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ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS

Abstract: 

Impact of online learning sequences to forecast course outcomes for an undergraduate digital signal processing (DSP) course is studied in this work. A multi-modal learning schema based on deep-learning techniques with learning sequences, psychometric measures, and personality traits as input features is developed in this work. The aim is to identify any underlying patterns in the learning sequences and subsequently forecast the learning outcomes. Experiments are conducted on the data acquired for the DSP course taught over 13 teaching weeks to underpin the forecasting efficacy of various deeplearning models. Results showed that the proposed multi-modal schema yields better forecasting performance compared to existing frequency-based methods in existing literature. It is further observed that the psychometric measures incorporated in the proposed multimodal schema enhance the ability of distinguishing nuances in the input sequences when the forecasting task is highly dependent on human behavior.

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Paper Details

Authors:
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong
Submitted On:
24 April 2018 - 2:09am
Short Link:
Type:
Poster
Event:
Presenter's Name:
NG HONGRUI KELVIN
Paper Code:
SPED-P1.4
Document Year:
2018
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[1] Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong, "ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3160. Accessed: Jul. 17, 2018.
@article{3160-18,
url = {http://sigport.org/3160},
author = {Kelvin H.R. Ng; Sivanagaraja Tatinati; Andy W.H. Khong },
publisher = {IEEE SigPort},
title = {ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS},
year = {2018} }
TY - EJOUR
T1 - ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS
AU - Kelvin H.R. Ng; Sivanagaraja Tatinati; Andy W.H. Khong
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3160
ER -
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong. (2018). ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS. IEEE SigPort. http://sigport.org/3160
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong, 2018. ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS. Available at: http://sigport.org/3160.
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong. (2018). "ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS." Web.
1. Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong. ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3160