Nan Ding 2008-11-20 Adaptive Instructional System.

Slides:



Advertisements
Similar presentations
Experimental Course for Students with LD/ADHD Diana Cassie, Ph.D. Dalhousie University.
Advertisements

Direct Instruction Also called explicit instruction Widely applicable strategy that can be used to teach both concepts and skills Uses teacher explanation.
Designing Instruction Objectives, Indirect Instruction, and Differentiation Adapted from required text: Effective Teaching Methods: Research-Based Practice.
Towards Adaptive Web-Based Learning Systems Katerina Georgouli, MSc, PhD Associate Professor T.E.I. of Athens Dept. of Informatics Tempus.
Faculty of Computer Science and Information Technology RIGA TECHNICAL UNIVERSITY Faculty of Computer Science and Information Technology Institute of Applied.
How to Integrate Students with Diverse Learning Needs in a General Education Classroom By: Tammie McElaney.
Foundations for practice Walt Wager What do we know, and why do we believe it?
Delmar Learning Copyright © 2003 Delmar Learning, a Thomson Learning company Nursing Leadership & Management Patricia Kelly-Heidenthal
Academic Success Center (313) Self-Regulated Learning and Its Role in Tutoring Jan Collins Eaglin and Laura Woodward Tutoring Institute Academic.
Integrating Educational Technology into Teaching
6.2 Modelling the Learner ISE554 The WWW for eLearning.
Interactive Animated Pedagogical Agents David Slater Stanford University May 12, 2000.
Lecture part 2. Approaches for e-learning-Updated January 11, Overview of part 2 (1/2) Theory (lecture about e-learning) and practice (introducing.
Meaningful Learning in an Information Age
Defining a Model of CALL Chapter 7, Ken Beatty (2003)
Introduction to teaching and assessing so students will learn more using learner-centered teaching Phyllis Blumberg Warm-up activity How can instructor’s.
Planning, Instruction, and Technology
Learning and Teaching Theories Developmental trends Information – Processing Strategy Instruction Warm-up: –What are learning strategies and how are they.
Lesson Design: An Overview of Key Tools for Flexible Math Instruction Think about Ms. Christiansen—the teacher in the video. What helps a teacher plan.
DR EBTISSAM AL-MADI Computers in Dental Education.
Learning & Teaching with Technology Claire O’Malley School of Psychology.
An Adaptive Hypermedia System for Compilers Katerina Georgouli, MSc, PhD Associate Professor T.E.I. of Athens Dept. of Informatics
MA course on language teaching and testing February 2015.
Design re-useable modules CurriculumCoursesLessonsPages Content modules.
Higher-Level Cognitive Processes
Chapter 3 Learning and Training Presenter: Danish Nasim 3212.
Students with Learning Disabilities Adolescents and Adults with Learning Disabilities.
Students with Learning Disabilities Teaching Practices.
CSA3212: User Adaptive Systems Dr. Christopher Staff Department of Computer Science & AI University of Malta Lecture 9: Intelligent Tutoring Systems.
1 TTM4142 Networked Multimedia Systems Multimedia Learning Panels are based on Chapter 8 of ’Multimedia Applications’ by R Steinmetz and C Nahrstedt Leif.
© 2007 Tom Beckman Features:  Are autonomous software entities that act as a user’s assistant to perform discrete tasks, simplifying or completely automating.
Aptitude by Treatment Interactions and Gagné’s Nine Events of Instruction Dr. K. A. Korb University of Jos.
The DID Model of the Technology-Based Instructional Design EDU 529 Computer-Based Instructional Technology.
An Instructional Framework Supporting Personalized Learning on the Web Kyparisia A. Papanikolaou, Maria Grigoriadou spap, {spap,
What Makes a Good Activity? Lessons from research and experience Cindy Shellito (U of Northern CO) and Cathy Manduca (SERC)
Instructional Strategies for the workshop will include a combination of: Organizational Strategy Characteristics Delivery Strategy Characteristics Management.
Prepared by : Asma Abas. Process syllabus : a syllabus which focuses on the means by which communicative skills will be brought about. (Nunan : 159 )
Instructional Design the approach of Robert Gagne ( Conditions of Learning, 1985)
1 Presenter: Jing-Yi Zhao Advisor: Ming-Puu Chen Date: Aug. 19, 2009 Angeli, C. (2005). Transforming a teacher education method course through technology:
Developing Learning by Teaching Environments that support Self-Regulated Learning Gautam Biswas, Krittaya Leelawong, Kadira Belynne, Karun Viswanath, Daniel.
1 Animated Pedagogical Agents: An Opportunity to be Grasped? 報 告 人:張純瑋 Clarebout, G., Elen, J., Johnson, W. & Shaw, E. (2002). Animated pedagogical agents:
Learning and Transfer This is Chapter 3 in the very useful book: National Research Council (2000). How People Learn: Brain, Mind, Experience, and School.
TEACHING WITH A FOCUS ON LEARNERS One model of Differentiation: Sousa and Tomlinson (2011) Differentiation and The Brain. Purpose: Understanding Text Complexity.
RULES Patty Nordstrom Hien Nguyen. "Cognitive Skills are Realized by Production Rules"
Integrating Educational Technology into Teaching
1 Scaffolding self-regulated learning and metacognition – Implications for the design of computer-based scaffolds Instructor: Chen, Ming-Puu Presenter:
Cristina Nemeth  MAT in Biological Sciences and Teacher of Students with Disabilities  Student Teaching in 7 th Science and 7 th grade replacement Math.
Effective Teaching ELED 3050 Chapter 1. How do you define Effective Teaching 1.The Role Model Definition 1.The Psychological Characteristics Definition.
The DID Model of the Technology-Based Instructional Design EDU 529 Computer-Based Instructional Technology.
Wilkinsburg School District Literacy Development Framework May 2011.
Mary McClure, EdD, LPC Class 3. Multiple approaches to instruction are probably appropriate… Diversity of student populations is increasing – more inclusive.
Learning Analytics isn’t new Ways in which we might build on the long history of adaptive learning systems within contemporary online learning design Professor.
Joshua Miller Blytheville Middle School 7 th Grade Math Student Engagement.
Competencies and consequences … choices to make April
Learning Adaptation Slavi Stoyanov. LA Position Conceptual Design –Operational definition of LD (what is it? Why is it? whom is it for? what do we adapt.
Does adaptive scaffolding facilitate students ability to regulate their learning with hypermedia? 指導教授:陳明溥 學 生 :王麗君.
Teaching and Learning with Technology
Assist. Prof.Dr. Seden Eraldemir Tuyan
Web-Based Virtual Learning Environments:
Effective Instructional and Accommodative Practices
Learner Control Control options Content sequencing Pacing
Copyright 2001 by Allyn and Bacon
Using Instructional Software
Chapter 6. Theoretical Perspectives & Expanding Directions
چارچوبی برای برنامه‌های توسعه‌ی شایستگی‌ با رویکرد یادگیری تجربی
Gestalt Theory.
Effective Differentiated Instruction for All Students
Professional Portfolio
UDL Guidelines.
INTASC STANDARDS Sharae Frazier.
Presentation transcript:

Nan Ding Adaptive Instructional System

“Adaptive” Adaptive tests (GRE, CBT, etc.) Adaptive to people with disabilities Intelligent?

Adaptive instructional system Why we need adaptive instruction? What is adaptive? Adaptive instruction embodies all instructional forms that accommodate the needs and abilities of different learners What to adapt?

What to Adapt Learner Variables Cognitive abilities Metacognitive skills Affective status Additional variables Instructional Variables Feedback Content sequencing Scaffolding View of material

Classic Adaptive Technologies Based on Brusilovsky (2003) Adaptive Hypermedia System Intelligent Tutoring System Adaptive Hypermedia Intelligent Tutoring Adaptive Presentation Adaptive Navigation Support Curriculum Sequencing Intelligent Solution Analysis Problem Solving Support

Modern Adaptive Technologies Information Retrieval CSCL Machine Learning Data Mining Machine Learning Data Mining Adaptive Hypermedia System Intelligent Tutoring System Adaptive Hypermedia Adaptive Information Filter Intelligent Monitoring Intelligent Collaborative Learning Intelligent Tutoring Based on Brusilovsky (2003)

Five Approaches to Adaptive Instruction Macro-adaptive instruction Aptitude-treatment interactions (ATI-based) Micro-adaptive instruction Adaptive/adaptable hypermedia/Web-based system (AHS) Specific pedagogy-centered systems

Macro-Adaptive Instruction Allowing alternatives in instructional goals Depth of curriculum content Delivery system

Aptitude-Treatment Interactions Based on learner characteristics (or aptitudes) Adapt in Instructional procedures Instructional strategies Eight step model to provide practical guidance for applying the ATI-based model to the design of computer-based instructional courseware (Carrier and Jonassen 1988) Limitations Any individual characteristic that increases or impairs the student’s probability of success in a given treatment (Cronbach and Snow 1997)

Micro-Adaptive Instruction Diagnosing the student’s specific learning needs during instruction and providing instructional prescriptions for the needs On-task measures rather than pre-task measures Dynamic, based on temporal nature of learner abilities and characteristics (current knowledge, motivation level) Adapt two instructional variables: Amount of content to be presented Presentation sequence of the content

Intelligent Tutoring Systems Micro-level adaptive instructional systems Provide adaptive instruction by intelligently diagnosing students’ learning needs diagnosing students’ progress in a response sensitive manner Three main components Representation of the content to be taught Inherent teaching or instructional strategy Mechanisms for understanding what the student does and does not know

Adaptive Hypermedia Systems Adaptive vs. Adaptable Open corpus learning environments Limitations and challenges How to balance adaptivity and adaptability How to select materials that are related to the topic and how to control the quantity

Specific pedagogy-centered systems Constructivist Adaptive Systems Contingent Teaching Systems Motivation-Based Adaptive Systems Metacognition-Based Adaptive Systems Collaborative Learning Systems

Discussion The factors that will affect learners’ attitude and behavior to the tutor Prior achievement Motivation Learning ability Learning style Personality

Discussion Adaptive vs. Intelligent Is it helpful for learners to use the hints as worked examples? How can we distinguish this learning process from help abuse? Are pedagogical agents (with human-like qualities?) really improving students’ learning or just extending their learning(?) time? Can they replace human instructors? Do we want them to replace human instructors? How to distinguish learners’ learning skill and make the system adapt to it by on-task measures …