D 2016

Impact of Question Difficulty on Engagement and Learning

PAPOUŠEK, Jan, Vít STANISLAV and Radek PELÁNEK

Basic information

Original name

Impact of Question Difficulty on Engagement and Learning

Authors

PAPOUŠEK, Jan (203 Czech Republic, belonging to the institution), Vít STANISLAV (203 Czech Republic, belonging to the institution) and Radek PELÁNEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

Zagreb, Croatia, Intelligent Tutoring Systems: 13th International Conference, p. 267-272, 6 pp. 2016

Publisher

Springer International Publishing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/16:00090426

Organization unit

Faculty of Informatics

ISBN

978-3-319-39582-1

ISSN

UT WoS

000389805000028

Keywords in English

evaluation; engagement; learning curves; optimal difficulty

Tags

International impact, Reviewed
Změněno: 14/5/2020 15:27, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

We study the impact of question difficulty on learners’ engagement and learning using an experiment with an open online educational system for adaptive practice of geography. The experiment shows that easy questions are better for short term engagement, whereas difficult questions are better for long term engagement and learning. These results stress the necessity of careful formalization of goals and optimization criteria of open online education systems. We also present disaggregation of overall results into specific contexts of practice.

Links

MUNI/A/0935/2015, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Category A
MUNI/A/0945/2015, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A