ICCK

Zongwen Fan

Huaqiao University, China

Section 01

Academic Profile

No academic profile information available at the moment.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Free Access | Perspective | 11 April 2026
Beyond Accuracy: Toward Interpretable, Multi-Objective, and Trustworthy Educational Data Mining Systems
ICCK Transactions on Educational Data Mining | Volume 2, Issue 2: 52-55, 2026 | DOI: 10.62762/TEDM.2026.988161
Abstract
Educational Data Mining (EDM) has achieved substantial gains in predictive performance, yet many existing approaches remain centered on single-objective optimization, most often accuracy. This does not adequately reflect the multi-dimensional nature of real-world educational decision-making, which requires balancing interpretability, fairness, robustness, efficiency, and timeliness. This perspective advocates a shift toward multi-objective, interpretable, and trustworthy EDM frameworks. We highlight the role of multi-objective optimization in modeling trade-offs through Pareto-optimal solutions and address the challenge of actionable decision-making through bargaining-based mechanisms, such... More >
Free Access | Perspective | 25 March 2026
Advancing Educational Data Mining through Multi-Source Data Fusion and Explainable Knowledge
ICCK Transactions on Educational Data Mining | Volume 2, Issue 1: 29-32, 2026 | DOI: 10.62762/TEDM.2026.793467
Abstract
The rapid digitalization of education has led to an explosive growth of multi-source and multi-modal learning data, providing new opportunities for advancing Educational Data Mining (EDM). By learning diverse data such as learning behaviors, assessment records, and interaction logs, EDM enables deeper insights into student learning processes and supports the development of personalized and intelligent education. However, several critical challenges remain, including the heterogeneity and fragmentation of multi-source data, the difficulty of extracting meaningful knowledge through effective data fusion, and the limited interpretability of high-performance predictive models. To address these c... More >
Open Access | Editorial | 10 October 2025
Inaugural Editorial for the ICCK Transactions on Educational Data Mining
ICCK Transactions on Educational Data Mining | Volume 1, Issue 1: 1-5, 2025 | DOI: 10.62762/TEDM.2025.646805
Abstract
This editorial presents the motivations underlying the establishment of the ICCK Transactions on Educational Data Mining (TEDM), an international, peer-reviewed journal dedicated to advancing theoretical, methodological, and applied research in Educational Data Mining (EDM). The journal is conceived as a platform to bring together researchers, educators, and practitioners from diverse disciplines, fostering cross-disciplinary dialogue and innovation in data-driven educational research. In particular, this editorial introduces the journal's objectives and scope, outlines representative techniques and methodological approaches employed in EDM, and highlights key trends, challenges, and opportu... More >