COMPSAC 2023 Symposium on Computing Education & Learning Technologies

Technical Program

*= in-person presentation in Torino

Multilevel modeling for the analysis and prediction of school dropout: a systematic review
Myke Oliveira and Ellen Barbosa

Orientative teaching with Open Educational Resources: the role of teachers in students’ transition from high school to university
Alice Barana, Marina Marchisio and Matteo Sacchet

OPTES: A Tool for Behavior-based Student Programming Progress Estimation*
Yuqian Zhuang, Liang Wang, Xianping Tao and Mingya Zhang

Early Prediction of Student Performance with LSTM-Based Deep Neural Network
Han Wan, Mengying Li, Zihao Zhong and Xiaoyan Luo

Personalizing Student Graduation Paths using Expressed Student Interests
Nicolas Dobbins, Ali Hurson and Sahra Sedigh Sarvestani

Hybrid/Online Teaching : A Survey and Key Issues*
Yue Jiang, Hoi Yan Lin, Long Fai Cheung, Henry C. B. Chan and Li Ping

Requirements for an international school educational collaboration system architecture, a case study: Col ́aiste Nano Nagle School in Limerick, Ireland, and Irshad Private High School in Kabul, Afghanistan*
Mohd Saay and Alex Norta

Technology and education have wandered many separate but rarely intersecting paths throughout the 20th Century. In the 21st Century, the convergence of cost effective computing and networking products, methodologies, and services is finally enabling more researchers and practitioners than ever before to explore innovative ways to use computer technologies to manage and enhance the teaching and learning experience.

Recognizing the importance of these trends, COMPSAC, the IEEE Computer Society’s Signature computing conference, offers the symposium on Computing Education and Learning Technologies (CELT). This symposium invites submissions related to this convergence in matters related, for example, to openness (e.g., source, access, and educational resources), elearning environments, online and hybrid or blended individualized and group instruction, collaborative learning methodologies, adaptive learning (Open and Big Data and/or Cloud Computing), deep learning, mobile learning, semantic computing methodologies, education technology standards, architectures for educational technology system and authoring tools, social issues (e.g., privacy and security), K-lifelong learning, cross-cultural projects and gender studies, etc., that is, any contribution belonging to one or all of the three mainstream learning domains: contents, methodologies, and educational technologies.

Top papers accepted by IEEE COMPSAC 2023 Symposium on Computing Education & Learning Technologies may be invited for submission to IEEE Transactions on Learning Technologies with extension and enhancement. Please refer to the journal’s website for submission guidelines.

Paper Templates

IEEE Paper templates are available in MS Word 2003 and LaTex. All submissions must use US 8.5×11 letter page format.

Important Dates

Main Conference/Symposium
Main conference/symposium papers due: 15 January 2023
Extended to 15 February 2023
Notification: 7 April 2023
Camera-ready and registration due: 7 May 2023 Updated: 18 May 2023

Journal then Conference Submissions
Due date: April 7, 2023
Notifications: April 30, 2023

Workshops, Fast Abstract, SRS Programs
EXTENDED: Workshop papers due: 21 April 2023
UPDATED: Notifications: 7 May 2023
UPDATED: Camera-ready and registration due: Updated: 18 May 2023

Submission Link

Please submit your paper on EasyChair

IEEE Conference Publishing Policies

All submissions must adhere to IEEE Conference Publishing Policies.

IEEE Cross Check

All submission will be screened for plagiarized material through the IEEE Cross Check portal.

CELT Symposium Chairs

Tiziana Margaria, University of Limerick & Lero
Email: tiziana.margaria@lero.ie

Henry Chan, The Hong Kong Polytechnic University
Email: cshchan@comp.polyu.edu.hk

Claudio Demartini, Politenico di Torino
Email: claudio.demartini@polito.it

Program Committee

Laura Farinetti, Politecnico di Torino

Leon Lei, The University of Hong Kong

Colin Delahiguera, University of Nantes

J Paul Gibson, Mines Telecom

Salim Saay, University of Limerick

Matteo Sacchet, Universita degli Studi di Torino

Olga Scrivner, Indiana University Bloomington

Joseph Ch So, The Hong Kong Polytechnic University

Tak-Lam Wong

Kevin Kam Fung Yuen

Jeff K.T. Tang

Simanta Mitra, Iowa State University

Stefan Naujokat, Dortmund University of Technology

Sven Jörges, University of Applied Science and Arts Dortmund

Parkash Lohana, Universität Hagen

Peter Ng, The Hong Kong Polytechnic University

Parkash Lohana, Usman Institute of Technology