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Reframing Togetherness: �Shifting our focus �from technology to problems

Professor Emeritus Tom Reeves

The University of Georgia, USA

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The Spires at Berry College

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Educational

Research

Papers

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Socially Responsible Educational Technology Research

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Too Much Research on Things

  • Virtual Reality
  • iPads and Tablets
  • Mobile Learning
  • Online Learning
  • 3D Printing
  • Games and Simulations
  • Wearable Technology
  • Smart Phones
  • Machine Learning
  • Immersive Learning

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Too Little Research on Problems

  • Failure to engage learners
  • Ineffective teaching
  • Inadequate higher order learning
  • Poor learner motivation
  • Little preparation for real world performance
  • Lack of intellectual curiosity
  • Undeveloped creativity
  • Weak communication skills
  • Insufficient time-on-task

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Science is under attack like never before.

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  • Within a month, the entire genome of coronavirus were sorted, identified and posted online.

  • Two weeks later, designs were already being keyed into machines to create a Covid-19 vaccine.

  • By December 2020, Moderna and Pfizer-BioNTech mRNA vaccines were approved.

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Randomized Controlled Trials

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  • Distance Learning Isn’t Working.

  • Not Good for Learning.

  • Remote Learning Fails the Test

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Remote learning during the pandemic?

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  1. Conduct research in ways that influence practice.�
  2. Our research must rigorously account for time-on-task.�
  3. Our research must clarify the nature of innovations using critical learning design factors.

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First, conduct research that influences practice.

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  • Is there a control group?
  • Are the control and experimental groups assigned randomly?
  • If a matched study, are the groups extremely similar?
  • Is the sample size large enough?
  • Are the results statistically significant?

Robert E. Slavin

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“The status of research deemed educational would have to be judged, first in terms of its disciplined quality and secondly in terms of its impact. Poor discipline is no discipline. And excellent research without impact is not educational.

Charles Desforges

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In 2002, David Berliner explained in the pages of AERA’s Educational Researcher journal that Educational Research: [is] The Hardest Science of All.

We do our science under conditions that physical scientists find intolerable.

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Random Assignment

pre-tests: computational thinking, computer-programming efficiency, motivation

Experimental Group: programming training plus ChatGPT

Control Group: programming training only

post-tests: improved computational thinking, better computer-programming efficiency, enhanced motivation

ChatGPT Experimental Study

1 week

1 week

5 weeks

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From Chalkboards to Chatbots : Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria – The World Bank

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Educational design research is not defined by its methods, but by its twofold goals.

    • Robust program, product, or policy to solve a real problem
    • Usable knowledge/theory, such a design principles

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Educational Design Research:

  • In close collaboration with practitioners, define an important pedagogical outcome and create a prototype learning environment informed by theory and practice.
  • Emphasize content and pedagogy �rather than technology alone.
  • Give special attention to �supporting human interactions.
  • Test, refine, and retest the learning �environment until outcome �is reached.
  • Refine theory simultaneously.

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  • Reilly, C., & Reeves, T. C. (2023). Tracking transdisciplinary skills in the design of online courses: A design-based research study. Computers & Education. DOI: 10.1016/j.compedu.2023.104867
  • Reilly, C., & Reeves, T. C. (2022). Refining active learning design principles through design-based research. Active Learning in Higher Education. DOI: 10.1177/14697874221096140

Dr. Christiane Reilly

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Second, our research should account for differences in time-on-task, not just differences in media delivery systems.

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7 major reasons for learning loss during Pandemic

  1. Lack of Access to Technology and Internet
  2. Disruptions in Instruction
  3. Reduced Instructional Time
  4. Mental Health and Stress
  5. Lower Engagement
  6. Inequities in Support Systems
  7. Limited Parental Support or Supervision

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Academic Learning Time (ALT)

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Academic Learning Time (SLT)

School Year = 180 Days

Attendance

School Day Length

Instructional Time

ALT�59 minutes

Engaged Time

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…unless ALT is affected in some way, there will be no changes in student achievement at all.

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NSSE

Active,

collaborative

learning

Student�faculty�Interaction

High�Academic �Challenge

Continuous�Timely

Feedback

Time �On

Task

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Model of Classroom Learning�Carroll, 1963, 1989

Academic Achievement

Aptitude

Opportunity

To Learn

Motivation

Ability to Understand

Instruction

Quality of

Instruction

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Model of Classroom Learning�Carroll, 1963, 1989

Academic Achievement

Aptitude

Opportunity

To Learn

Motivation

Ability to Understand

Instruction

Quality of

Instruction

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Model of Online Learning Inspired by Carroll

Individual Differences

Origin of

Motivation

Aptitude

Mental

Models

Higher Order

Outcomes

Knowledge &

Skills

Input Factors

Outcome Factors

Encourage student

ownership of� learning tasks.

Engage students in

reflection and

sharing of knowledge.

Provide opportunities �to construct knowledge �through authentic activity.

Design Factors

Provide support

for collaboration

Provide support

for metacognition

Provide support �for teaching.

Support Factors

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Third, whenever we conduct research, we must clarify the nature of innovative and control treatments using a common set of critical learning design factors.

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Augmented Reality in Education

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Media Comparison Studies

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learning objectives

content

learner tasks

assessment

technology roles

teacher roles

instructional design

Low order, discrete

Higher order, robust

One right answer

Multiple perspectives

Lecture

Experiential

Academic

Authentic

Instructor

Mentor/facilitator

Tutorials/videos

Simulation/Communication

Discrete knowledge

Mental models

Critical Design Factors

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Undergraduate Engineering Education

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Engineering �Introductory �Courses

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  • Get to Mars
  • Establish viable base
  • Develop renewable power source

Mars Mission

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Low order, discrete knowledge

High order, robust mental models

Learning objectives

Intro to Engineering

  1. To think like engineers

  • To develop a robust mental model of design

  • To solve ill-structured problems

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Knowledge dimensis

Knowl dimenss

Knodge diions

Kledge dimens

Knowledge dimensions

Knowle dimens

Low order, discrete knowledge

High order, robust mental models

Cognitive process dimensions

Knowledge dimensions

Factual knowledge

Conceptual knowledge

Procedural knowledge

Metacognitive knowledge

Knowledge dimension

Knowledge dimensis

Knowl dimenss

Knodge diions

Kledge dimens

Knowledge dimensio

Knowledge dimensis

Knowl dimenss

Knodge diions

Kledge dimens

Knowle dins

Knowledge dimensio

Knowledge dimensis

Knowl dimenss

Knodge diions

Kledge dimens

Knowle dens

Knowledge dimensio

Knowledge dimensis

Knowl dimenss

Knodge diions

Kledge dimens

Knowle dim

Knowle dins

Remembering

Understanding

Applying

Analyzing

Evaluating

Creating

1

2

2

1

1

2

2

2

2

3

4

1

2

3

learning objectives

Intro to Engineering

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One correct answer

Multiple perspectives

Nature of content

Intro to Engineering

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Lecture method

Experiential learning

Instructional design

Intro to Engineering

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Academic

Authentic

Learner tasks

Intro to Engineering

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Instructor

Mentor/ facilitator

Teacher roles

Intro to Engineering

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Tutorials/video

Simulation & Communication

Technology roles

Intro to Engineering

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Discrete knowledge

Mental models, creative products

Assessment

Intro to Engineering

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learning objectives

content

learner tasks

assessment

technology roles

teacher roles

instructional design

Low order, discrete

High order, robust

One right answer

Multiple perspectives

Lecture

Experiential

Academic

Authentic

Instructor

Mentor/facilitator

Tutorials/videos

Simulation & Communication

Discrete knowledge

Mental models

Traditional Course Alignment

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learning objectives

content

learner tasks

assessment

technology roles

teacher roles

instructional design

Low order, discrete

High order, robust

One right answer

Multiple perspectives

Lecture

Experiential

Academic

Authentic

Instructor

Mentor/facilitator

Tutorials/videos

Simulation & Communication

Discrete knowledge

Mental models

Innovative Course Alignment

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  • Enhanced problem solving
  • Rich mental models
  • Improved communication skills
  • Enhanced research skills
  • Better team skills

Mars Mission Outcomes

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1. Conduct EDR

2. Account for time-on-task and other variables

3. Clarify treatments with a common set of critical design factors

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Thank you!

  • treeves@uga.edu
  • www.evaluateitnow.com