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Hybrid Event

16th - 17th March 2027 | Tokyo, Japan

International Conference on Educational Statistics (ICEDUS - 27)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

Why it matters

SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 16 — Peace, Justice and Strong Institutions
Explore All Session Tracks
Track 01
Innovations in Educational Statistics

This track focuses on the latest advancements in educational statistics, emphasizing novel statistical methods and their applications in educational settings. Researchers are encouraged to present innovative approaches to data analysis that enhance understanding of educational outcomes.

Track 02
Quantitative Research Methods in Education

This session will explore various quantitative research methodologies utilized in educational research. Topics may include survey design, experimental methods, and the application of statistical techniques to assess educational interventions.

Track 03
Psychometric Theory and Applications

This track delves into psychometric theory, including measurement reliability and validity in educational assessments. Participants are invited to discuss the implications of psychometric principles on educational testing and evaluation.

Track 04
Applied Multivariate Analysis in Education

This session highlights the use of multivariate analysis techniques in educational research. Presentations will focus on case studies and applications that demonstrate the effectiveness of these methods in understanding complex educational phenomena.

Track 05
Causal Modeling in Educational Research

This track examines causal modeling techniques and their relevance in educational research. Researchers are encouraged to share their findings on how causal inference can inform educational policy and practice.

Track 06
Item Response Theory and Assessment

This session will focus on item response theory (IRT) and its applications in educational assessment. Discussions will include the development of assessment tools and the interpretation of IRT results in educational contexts.

Track 07
Data Privacy and Educational Systems

This track addresses the critical issues of data systems, usage, and privacy in educational settings. Presentations will explore best practices for managing educational data while ensuring compliance with privacy regulations.

Track 08
Curriculum Evaluation and Design

This session focuses on methodologies for evaluating and designing educational curricula. Participants will discuss frameworks for assessing curriculum effectiveness and the role of statistical analysis in curriculum development.

Track 09
Interpreting Evaluation Results in Education

This track emphasizes the importance of accurately interpreting evaluation results in educational research. Researchers will share strategies for translating statistical findings into actionable insights for educators and policymakers.

Track 10
Assessing Student Performance: Methods and Challenges

This session will explore various methods for assessing student performance, including formative and summative assessments. Discussions will address the challenges faced in accurately measuring student learning outcomes.

Track 11
Educational Research Design and Methodology

This track focuses on the design and methodological considerations in educational research. Participants are invited to share their experiences and insights on creating robust research designs that yield valid and reliable results.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.