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Introduction to AI in Learning: Designing the Future

Hannele Niemi, Roy Pea, Yu Lu

202210 citationsDOIOpen Access PDF

Abstract

Abstract The introduction chapter focuses on the main questions of the whole book AI in Learning: Designing the Future: (1) How is learning changing when human learning and machine learning are connected and what consequences does this conjunction have for education, also for working life as lifelong learning and (2) what kind of ethical issues are emerging with AI in education from the viewpoints of schools and other learning environments. The chapter first summarizes how recent AI technologies provide several options for learning and educational services and how AI is applied already in societies. In education and learning, many advanced techniques are already available, and we have tentatively promising findings. However, the accelerating pace of development of technology expands AI’s potentialities in education, so we need extensive new research about educational implementations and their effects on human learning and people’s lives. The chapter also summarizes how different chapters provide new research on AI in learning and education.

Topics & Concepts

ViewpointsLifelong learningPaceLearning sciencesOpen learningActive learning (machine learning)Computer scienceEducational technologyImplementationEngineering ethicsArtificial intelligenceCooperative learningMathematics educationEngineeringPedagogySociologyPsychologyTeaching methodVisual artsArtProgramming languageGeographyGeodesyOnline Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
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