Paradigm Shift in Human-Machine Interaction: A New Learning Framework for Required Competencies in the Age of Artificial Intelligence?

被引：2

作者：

Burkhard, Michael ^{[1
]}

Seufert, Sabine ^{[1
]}

Guggemos, Josef ^{[1
]}

机构：

[1] Univ St Gallen, Inst Educ Management & Technol, St Jakob Str 21, CH-9000 St Gallen, Switzerland

来源：

CSEDU: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION - VOL 2 | 2021年

关键词：

Smart Machine; Artificial Intelligence; Human Augmentation; Education; Learning Framework; AL;

D O I：

10.5220/0010473302940302

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Smart machines (e.g., chatbots, social robots) are increasingly able to perform cognitive tasks and become more compatible with us. What are the implications of this new situation for the competency requirements in the 21st century? This paper evaluates the underlying paradigm shift with relation to smart machines in education. It discusses the potentials and current limitations of smart machines in education in order to eliminate prejudices and to contribute to a more comprehensive picture of the technological advances. In light of human augmentation, the paper further proposes a possible learning framework that includes the human-smart machine relationship as a normative orientation for new competency requirements.

引用

页码：294 / 302

页数：9

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