J 2022

Towards Design-Loop Adaptivity: Identifying Items for Revision

PELÁNEK, Radek, Tomáš EFFENBERGER and Adam KUKUČKA

Basic information

Original name

Towards Design-Loop Adaptivity: Identifying Items for Revision

Authors

PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution), Tomáš EFFENBERGER (203 Czech Republic, belonging to the institution) and Adam KUKUČKA (703 Slovakia, belonging to the institution)

Edition

Journal of Educational Data Mining, International Educational Data Mining Society, 2022, 2157-2100

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/00216224:14330/22:00128708

Organization unit

Faculty of Informatics

DOI

Keywords in English

learning environment; outliers; anomaly detection; interpretability; reliability; difficulty; content analysis; attention-worthiness

Tags

International impact, Reviewed
Změněno: 31/10/2024 14:52, doc. Mgr. Radek Pelánek, Ph.D.

Abstract

V originále

We study the automatic identification of educational items worthy of content authors’ attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and various forms of content representation. We analyze the potential usefulness of these properties using both simulation and analysis of real data from a large-scale learning environment. We also describe two case studies where we practically apply the identification of attention-worthy items. Based on the analysis and case studies, we provide recommendations for practice and impulses for further research.