Improving Learning Environments: Avoiding Stupidity Perspective

PELÁNEK, Radek and Tomáš EFFENBERGER. Improving Learning Environments: Avoiding Stupidity Perspective. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES. UNITED STATES: IEEE COMPUTER SOC, 2022, vol. 15, No 1, p. 64-77. ISSN 1939-1382. Available from: https://dx.doi.org/10.1109/TLT.2022.3154936.

Basic information

• Original name: Improving Learning Environments: Avoiding Stupidity Perspective
• Authors: PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution) and Tomáš EFFENBERGER (203 Czech Republic, belonging to the institution).
• Edition: IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, UNITED STATES, IEEE COMPUTER SOC, 2022, 1939-1382.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: United States of America
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 3.700
• RIV identification code: RIV/00216224:14330/22:00128874
• Organization unit: Faculty of Informatics
• Doi: http://dx.doi.org/10.1109/TLT.2022.3154936
• UT WoS: 000811579800009
• Keywords in English: taxonomy; data-driven techniques; defects; student modeling

Abstract

Research in learning technologies is often focused on optimizing some aspects of human learning. However, the usefulness of practical learning environments is heavily influenced by their weakest aspects, and, unfortunately, there are many things that can go wrong in the learning process. In this article, we argue that in many circumstances, it is more useful to focus on avoiding stupidity rather than seeking optimality. To make this perspective specific and actionable, we propose a definition of stupidity, a taxonomy of undesirable behaviors of learning environments, and an overview of data-driven techniques for finding defects. The provided overview is directly applicable in the development of learning environments and also provides inspiration for novel research directions and novel applications of existing techniques.