Strategic Management of Interaction Presence and Participation in Online Courses 1st Edition by Lydia Kyei-Blankson, Joseph Blankson, Esther Ntuli ISBN 146669582X 978-1466695825

Strategic Management of Interaction Presence and Participation in Online Courses 1st Edition by Lydia Kyei-Blankson,  Joseph Blankson, Esther Ntuli – Ebook PDF Instant Download/Delivery: 146669582X, 978-1466695825
Full download Strategic Management of Interaction Presence and Participation in Online Courses 1st Edition after payment

Product details: 

ISBN 10: 146669582X 

ISBN 13: 978-1466695825

Author: Lydia Kyei-Blankson,  Joseph Blankson, Esther Ntuli 

Online learning has become a prominent and inseparable component of higher education in recent years. Questions related to course structure, levels of interaction, presence, and participation within online courses persist and invite further inquiry for determining factors that encourage effective teaching and learning in online environments. The Handbook of Research on Strategic Management of Interaction, Presence, and Participation in Online Courses explores models of course development and delivery techniques to improve instruction, learning, and student satisfaction in online courses. Covering topics such as rates of participation, student engagement and retention, and social development, this handbook serves as a resource for educators in online learning environments, as well as for course designers and developers of online courses and researchers whose agenda includes examining interaction, presence, and participation in online courses.

Table of contents: 

Section 1: Theoretical Applications and Research Basis for Interaction, Presence, and Participation in Online Courses

1 Introduction
1.1 The Genotype–Phenotype Relationship
1.2 Some Concepts of Genome-scale Science
1.3 The Emergence of Systems Biology
1.4 Building Foundations
1.5 About This Book
1.6 Summary

Part I: Network Reconstruction

2 Network Reconstruction: The Concept
2.1 Many Reactions and Their Stoichiometry
2.2 Reconstructing a Pathway
2.3 Module-by-module Reconstruction
2.4 Proteins and Their Many States
2.5 Central E. coli Energy Metabolism
2.6 Genome-scale Networks
2.7 Summary

3 Network Reconstruction: The Process
3.1 Building Knowledge Bases
3.2 Reconstruction is a Four-step Process
3.3 Reconstruction is Iterative and Labor-intensive
3.4 The Many Uses of Reconstructions
3.5 Summary

4 Metabolism in Escherichia coli
4.1 Some Basic Facts about E. coli
4.2 History
4.2.1 Pre-genome era reconstructions
4.2.2 Genome era reconstructions
4.3 Content of the iJO1366 Reconstruction
4.4 From a Reconstruction to a Computational Model
4.5 Validation of iJO1366
4.6 Uses of the E. coli GEM
4.7 Summary

5 Prokaryotes
5.1 State of The Field
5.2 Metabolism in Pathogens
5.3 Metabolism in Blue-Green Algae
5.4 Metabolism in Microbial Communities
5.4.1 Systems biology of communities
5.4.2 Model-based analysis of microbial communities
5.5 An Environmentally Important Organism
5.5.1 Geobacter sulfurreducens
5.5.2 Genome-scale science for Geobacter
5.6 Summary

6 Eukaryotes
6.1 Metabolism in Saccharomyces cerevisiae
6.1.1 Reconstruction and its uses
6.1.2 Community-based reconstruction
6.2 Metabolism in Chlamydomonas reinhardtii
6.2.1 Metabolic network reconstruction
6.2.2 Description of photon usage
6.3 Metabolism in Homo sapiens
6.3.1 Recon 1
6.3.2 Uses of Recon 1
6.3.3 Building multi-cell and multi-tissue reconstructions
6.3.4 Mapping Recon 1 onto other mammals
6.3.5 Recon 2
6.4 Summary

Part II: Mathematical Properties of Reconstructed Networks

7 Biochemical Reaction Networks
7.1 Protein Properties
7.2 Structural Biology
7.3 Transcription and Translation
7.4 Integrating Network Reconstructions
7.5 Signaling Networks
7.6 Summary

8 Metastructures of Genomes
8.1 The Concept of a Metastructure
8.2 Transcriptional Regulatory Networks
8.3 Refactoring DNA for Synthetic Biology
8.4 The Challenge of Polyomic Data Integration
8.5 Building Mathematical Descriptions
8.6 Summary

9 The Stoichiometric Matrix
9.1 The Many Attributes of S
9.2 Chemistry: S as a Data Matrix

Part III: Determining the Phenotypic Potential of Reconstructed Networks

12 Pathways as Basis Vectors
12.1 Some Perspective
12.2 Extreme Pathways
12.3 Classifying Extreme Pathways
12.4 The Simplest Set of Linearly Independent Basis Vectors
12.5 Examples of Pathway Computation
12.6 Summary

13 Use of Pathway Vectors
13.1 The Matrix of Pathway Vectors
13.2 Pathway Length and Flux Maps
13.3 Reaction Participation and Correlated Subsets
13.4 Input–Output Relationships and Crosstalk
13.5 Regulation Eliminates Active Pathways
13.6 Summary

14 Randomized Sampling
14.1 The Basics
14.2 Sampling Low-dimensional Spaces
14.3 Sampling High-dimensional Spaces
14.4 Sampling Network States in Human Metabolism
14.5 Summary

15 Dual Causality
15.1 Causation in Physics and Biology
15.2 Building Quantitative Models
15.2.1 The physical sciences
15.2.2 The life sciences
15.2.3 Genome-scale models
15.3 Constraints in Biology
15.4 Summary

16 Functional States
16.1 Components vs. Systems
16.2 Properties of Links
16.3 Links to Networks to Biological Functions
16.4 Constraining Allowable Functional States
16.5 Biological Consequences of Constraints
16.6 Summary

17 Constraints
17.1 Genome-scale Viewpoints
17.2 Stating and Imposing Constraints
17.3 Capacity Constraints
17.4 Constraints from Chemistry
17.4.1 Mass conservation
17.4.2 Thermodynamics
17.4.3 Fluxomics
17.5 Regulatory Constraints
17.6 Coupling Constraints
17.7 Simultaneous Satisfaction of All Constraints
17.8 Summary

Part IV: Basic and Applied Uses

22 Environmental Parameters
22.1 Varying a Single Parameter
22.2 Varying Two Parameters
22.3 Summary

23 Genetic Parameters
23.1 Single Gene Knock-outs
23.2 Double Gene Knock-outs
23.3 Gene Dosage and Sequence Variation
23.4 Summary

24 Analysis of Omic Data
24.1 Context for Content
24.2 Omics Data-mapping and Network Topology
24.3 Omics Data as Constraints
24.4 Omics Data and Validation of GEM Predictions
24.5 Summary

25 Model-Driven Discovery
25.1 Models Can Drive Discovery
25.2 Predicting Gap-filling Reactions
25.3 Predicting Metabolic Gene Functions
25.4 Summary

26 Adaptive Laboratory Evolution
26.1 A New Line of Biological Inquiry
26.2 Determining the Genetic Basis
26.3 Interpretation of Outcomes
26.4 A Specific Example of Nutrient Adaptation
26.5 General Uses of ALE
26.6 Complex Examples of Adaptive Evolution
26.7 Summary

Part V: Conceptual Foundations

28 Teaching Systems Biology
28.1 The Core Paradigm
28.2 High-throughput Technologies
28.3 Network Reconstruction
28.4 Computing Functional States of Networks
28.5 Prospective Experimentation
28.6 Building a Curriculum
28.7 Summary

29 Epilogue
29.1 The Brief History of COBRA
29.2 Common Misunderstandings
29.3 Questions in Biology and in Systems Biology
29.4 Why Build Mathematical Models?
29.5 What Lies Ahead?

 

Chapter 6

A Mixed Methods Examination of Instructor Social Presence in Accelerated Online Courses
Patrick Ryan Lowenthal, Boise State University, USA

Chapter 7

“I’m Not Simply Dealing with Some Heartless Computer”: Videoconferencing as Personalized Online Learning in a Graduate Literacy Course
Peggy Lynn Semingson, University of Texas at Arlington, USA
Pete Smith, The University of Texas at Arlington, USA

Chapter 8

Building Interaction in Adults’ Online Courses: A Case Study on Training E-Educators of Adults
Maria Pavlis-Korres, General Secretariat for Lifelong Learning, Greece & Hellenic Open University, Greece
Piera Leftheriotou, General Secretariat for Lifelong Learning, Greece & Hellenic Open University, Greece

Chapter 9

Preparing Online Learning Readiness with Learner-Content Interaction: Design for Scaffolding Self-Regulated Learning
Juhong Christie Liu, James Madison University, USA
Elaine Roberts Kaye, James Madison University, USA

Chapter 10

Web-Based Technologies for Ensuring Interaction in Online Courses: Faculty Choice and Student Perception of Web-Based Technologies for Interaction in Online Economics
Olivia P. Morris, Online Learning, Chicago, USA

---

Section 2: Practical Applications and Strategies for Ensuring Interaction, Presence, and Participation in Online Courses

Chapter 11

More Teaching in Less Time: Leveraging Time to Maximize Teaching Presence
B. Jean Mandernach, Grand Canyon University, USA
Rick Holbeck, Grand Canyon University, USA
Ted Cross, Grand Canyon University, USA

Chapter 12

Instructor-Driven Strategies for Establishing and Sustaining Social Presence
Michelle Kilburn, Southeast Missouri State University, USA
Martha Henckell, Southeast Missouri State University, USA
David Starrett, Southeast Missouri State University, USA

Chapter 13

Engage Online Learners: Design Considerations for Promoting Student Interactions
Sang Chan, Weber State University, USA
Devshikha Bose, Boise State University, USA

Chapter 14

Ensuring Presence in Online Learning Environments
Eunice Luyegu, Nova Southeastern University, USA

Chapter 15

Teaching and Learning Online: An Examination of Effective Techniques, Practices, and Processes
Angelia Yount, Ball State University, USA
Kwesi Tandoh, Ball State University, USA

Chapter 16

Interacting at a Distance: Creating Engagement in Online Learning Environments
Robert L. Moore, University of North Carolina at Chapel Hill, USA

Chapter 17

Encouraging and Increasing Student Engagement and Participation in an Online Classroom
Kathryn Woods, Austin Peay State University, USA

Chapter 18

Building Relationships Through Learning Communities and Participation in Online Learning Environments: Building Interactions in Online Learning
Victoria Cardullo, Auburn University, USA
Megan Burton, Auburn University, USA

Chapter 19

Deepening Understanding of Multicultural Online Education: Teaching Presence for English Language Learners
Alex Kumi-Yeboah, University at Albany (SUNY), USA
Patriann Smith, University of Illinois at Urbana Champaign, USA
Guangji Yuan, University at Albany (SUNY), USA
Christina Nash, University at Albany (SUNY), USA

Chapter 20

Stylized Moments: Creating Student Engagement and Participation in an Asynchronous Online University Film Course
William Thomas McBride, Illinois State University, USA

People also search for:

 strategic presence
    
what is a strategic interaction
    
what is a strategic interaction quizlet
    
a strategic window is
    
b strategic communications

 

Tags:

Lydia Kyei-Blankson,Joseph Blankson,Esther Ntuli,Strategic Management,Interaction Presence