Chapter 10 A Critical Review of Two Automated Adaptive Teaching Systems in Mathematics and Chemistry

Cognitive Tutor and ALEKS

In: Handbook of Research in Online Learning
Authors:
Gina Deckard
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Kay K. Seo
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Type:
Chapter
Pages:
238–259
DOI:
https://doi.org/10.1163/9789004702813_010

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Abstract

The advancement of adaptive learning technologies has made tailored educational experiences possible in different settings across the education spectrum. Adaptive learning technology is any system that collects and interprets learner data to tailor the content, difficulty, and pace of instruction to their individual needs. Adaptive learning technologies are used in K-12 and higher education to support STEM learning across the US. However, the widespread use of these technologies is not assessed with the necessary robustness to declare their effectiveness in the different settings in which they are employed. This study describes current research dedicated to the analysis of adaptive learning for students 6–12 through college and addresses the lack of research in the literature on widely used adaptive technologies. Considering the technological advancements in the field of artificial intelligence (AI) of the last decade, systems built on AI frameworks should be scrutinized more carefully to determine their effectiveness and impact on students of different learning environments.

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Cover Handbook of Research in Online Learning
E-Book ISBN:
9789004702813
Publisher:
Brill
Print Publication Date:
25 Sep 2024
Front Matter
Chapter 1 Lessons Learned in Conducting a Systematic Review in Online Learning
Chapter 2 The Study of Adult Learners in Distance Education
Chapter 3 Theories and Models to Frame, Inform, and Stimulate Online Learning
Chapter 4 What We Know about Online Teacher Education
Chapter 5 A Responsive, Consultative Professional Development Model for Online Engagement
Chapter 6 Active Learning by Design
Chapter 7 An Integrative Review of Adult Learners’ Informal Learning in Online Settings
Chapter 8 Metatextual Dimensions of Multimodal Literacy Engagement
Chapter 9 21 Years of Worldwide Learning Online
Chapter 11 Automated Analysis and Visualization of Online Learning Experiences and Engagement
Chapter 12 Evidence-based Practices for Developing a Community of Inquiry
Chapter 13 Pre-service Teachers’ Preparation for Teaching Online
Chapter 14 Micro Investment, Big Reward
Chapter 15 Selecting Media and Methods to Facilitate Blended Learning
Chapter 16 The Impact of Digital Learning on Racially Minoritized and Poverty-Affected College Students
Chapter 17 Remote Academic Advising for Colleges and Universities
Chapter 18 Online Mentoring in the Digital Age
Chapter 19 Mental Fatigue in Online Learning
Chapter 20 Analysis of Patterns in Time for Evaluating Online Instruction
Chapter 21 The Difference between Emergency Remote Teaching and Online Learning
Chapter 22 Exploring the Impact of E-Texts on Student Learning in Online Education
Chapter 23 Supporting AI-Enhanced Active Online Learning Experiences
Chapter 24 Student Perceptions of Learning with Instructional AI Assistance in Online Discussions
Chapter 25 Gamification for Higher Education Applications
Chapter 26 Developing a Quality Assurance Approach for an Online Professional Military Education Institution
Chapter 27 Skills for Student Success in Online Learning
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