AECT Conference 2014 RTD Friday Sessions
Friday,
November 7
RTD -
Examining IDT Scholarship
8:00 to 9:00 am, 2nd Level, Grand 7
Examining
IDT Scholarship through Co-Citation Context Analysis - Wendy Gentry, Virginia Tech; Barbara Lockee,
Virginia Tech
Co-citation context analysis is a research methodology that examines relationships between resources cited in close proximity within a scholarly document and the related content that is transferred during the citation process. Come to see you how this analysis can be utilized within IDT
Co-citation context analysis is a research methodology that examines relationships between resources cited in close proximity within a scholarly document and the related content that is transferred during the citation process. Come to see you how this analysis can be utilized within IDT
How to
Support Generalizability of Web surveys: Overcoming Low Response Rates - Dabae Lee, Indiana University
Despite the popularity and benefits of web
surveys such as lower costs and fast turnarounds, web surveys commonly suffer
from low response rates, and accordingly are the generalizability of their results.
This presentation discusses systematic methods of supporting generalizability
of web surveys based on a survey research framework.
RTD -
Digital Games and Pattern Analysis for Learning Analytics
8:00 to 9:00 am, 2nd Level, Grand 8
Exploring the Use of a Digital Game as a Tool
of Assessment - Andre R. Denham, University of Alaba
This study purposed to explore the ability of a digital game designed to support conceptual understanding of the associative and distributive properties of multiplication, to also serve as a tool of assessment
This study purposed to explore the ability of a digital game designed to support conceptual understanding of the associative and distributive properties of multiplication, to also serve as a tool of assessment
Using
Pattern Analysis for Game-Based Learning Analytics - Rodney D. Myers, Independent Scholar; Ted
Frick, Indiana University
In this study, Analysis of Patterns in Time (APT)
is used to analyze gameplay to provide evidence of a learner’s understanding of
concepts modeled in a game. Gameplay data form an APT map of joint and
sequential patterns. We discuss the results of using APT for analysis of over
2,000 game sessions of the online Diffusion Simulation Game.
RTD -
Trends and Research in our Field
9:15 to 10:15am, 2nd Level, Grand 8
Educational
Technology Research Trends: Examining Six SSCI-indexed Refereed Journals -
Yu-Chang Hsu; JUI-LONG HUNG, Boise State University; Yu-Hui Ching, Boise State
University
This research applied text mining methods to examine the abstracts of 2,997 international research articles published between 2000 and 2010 by six journals included in the Social Science Citation Index in the field of Educational Technology. This presentation will discuss research areas with rising trends, stable status, and low attention
This research applied text mining methods to examine the abstracts of 2,997 international research articles published between 2000 and 2010 by six journals included in the Social Science Citation Index in the field of Educational Technology. This presentation will discuss research areas with rising trends, stable status, and low attention
What Are
We Talking About? An Analysis of the Last Decade of Research Published in Major
Journals in Our Field - Rick
West, Brigham Young University; Tyler Beckstrom, Brigham Young University;
Camey Andersen Hadlock, Brigham Young University; Matt Langton, Brigham Young
University; Rob Nyland, Brigham Young University; Eric Young, Brigham Young
University
This panel will consist of five groups presenting
their analysis of the main topics, authors, and methodologies over the last
decade in four academic journals in our field.
RTD -
Exploring Theories and Methods in Learning and Design
10:30 to 11:30am, 2nd Level, Grand 7
A Comprehensive
Review of Measurement Methods of Learning Flow in Online Learning - WooRi Kim,
Purdue University
This presentation will (1) to review the
availability of Flow Measurement in the Web Context and Virtual-course Flow
Measure (VFM) which can be applied to assess learning flow in online learning,
and (2) to describe and synthesize one existing flow assessment which is
behavior based, but not self-report survey based.
From the Ground
Up: A Comprehensive Theoretical Framework of Computer-based Scaffolding - Mason
Reed Lefler, Utah State University; Brian Belland, Utah State University;
Andrew Walker, Utah State University;Nam Ju Kim, Utah State University
This study is a grounded theoretical analysis of
existing empirical scaffolding interventions resulting in a more comprehensive
theoretical framework for computer-based scaffolding in STEM education.
Learning Analytics
System (LAS) in Instructional Design - Wanli Xing, University of
Missouri-Columbia; Yaofeng Xue, East China Normal University
This study employed Unified Modeling Language
(UML) Use Case to build a unified and flexible architecture for a complex
Learning Analytics System (LAS) with Predict, Adapt, Recommend and Reflect
engines. Next, the link between activity-based learning design, LAS and other
educational systems is proposed with expanding the structure of learning design
formula. Finally, a case study using Sakai was presented.
RTD -
Investigating Performance based on Team Composition and Blending Synchronous
and Asynchronous Learning
10:30 to 11:30am, 2nd Level, Grand 8
Blending
Online Synchronous and Asynchronous Learning - Lisa Yamagata-Lynch, University of Tennessee
This study explored how synchronous online learning can complement asynchronous learning in higher education settings. Findings are based on a 15-week online graduate level course taught in spring 2012 at the University of Tennessee (UT)
This study explored how synchronous online learning can complement asynchronous learning in higher education settings. Findings are based on a 15-week online graduate level course taught in spring 2012 at the University of Tennessee (UT)
Investigating the Performance of Differently
Composed Online Teams - Dirk Ifenthaler, Deakin University; Ralf Scheid, University
of Mannheim
Study on an automated assessment methodology for
the structural and semantic analysis of team-based knowledge representations.
The findings of this study support the premise that team composition based on
prior knowledge does have an impact on team performance.
RTD -
Supporting Levels of Change and Understanding
1:00 to 2:00pm, 2nd Level, Grand 7
Case Study
on how Knowledge Flows in a Fast-paced Environment when Dealing with Critical
Incidents - Julaine
Fowlin, Holy Names University; Katherine Cennamo, Virginia Tech
This case study explored how employees of a
walk-in help desk created, preserved, and disseminated knowledge when dealing
with critical incidents during a fast-paced period. Findings revealed that both
organizational and individual factors can impact the flow of knowledge with a
disconnection among available tools posing the greatest barrier to the
knowledge life cycle
Supporting
Levels of Change and Understanding: Assessing a Cyber Professional Development
Environment - Heather
Leary, University of Colorado Boulder; Holly Devaul, University Corporation for
Atmospheric Research; Tamara Sumner, University of Colorado Boulder
Supporting teachers in change, especially
curricular change, is important. Come to listen to results of a two-part, mixed
methods study for formative assessment of a CyberPD environment, an online
survey and follow-up focus group collected data aligned to the Concerns Based
Adoption Model
RTD -
Mixed Method Research Effects and Strategies
1:00 to 2:00pm, 2nd Level, Grand 8
Effect of Self-Generated Learning of Chinese
Idioms through iPads, A Mixed-Method Study - Ying Xie, Northern Illinois University;
Chunsheng Yang, University of Connecticut
Study on using iPads in teaching Chinese idioms
to heritage learners. The results showed that the textual and visual
illustrations of the idioms facilitated idiom learning.
Strategies for Integration in Mixed Methods
Studies - Sylvia Rogers, University of South Alabama; Gayle V.
Davidson-Shivers, University of South Alabama
This paper will focus on four strategies for
integrating quantitative and qualitative data in the context of a mixed methods
study. The strategies are: 1) merging data in discussion; 2) merging data with
matrices, 3) transforming data, and; 4) “following a thread”. The strategies
will be illustrated from
RTD -
Research, Trends, and Roles in Health Education
2:15 to 3:15pm, 2nd Level, Grand
Examining the role
of emotion in public health education using multimedia - Sungwon Chung, Texas
Tech University; Jongpil Cheon, Texas Tech University
This study investigates how emotion influences
learning performance (recognition, recall, and transfer test scores) and
self-regulation in multimedia learning on health. Based on the Limited Capacity
Model of Motivated Mediated Message Processing (LC4MP), this study uses a 3
(valence: positive, negative, coactive) × 2 (arousal: calm, arousing)
experimental design
Using Standardized Patients vs. Video Cases as
a Method of Representing Clinical Problems in Problem-Based Learning - Bo
Young Yoon, Inje University College of Medicine; Jong Tae Lee, Inje University
College of Medicine; Ikseon Choi, The University of Georgia; seokjin Choi, Inje
University College of Medicine; Tae-Hee Kim, Inje University College of
Medicine; Hye Rin Roh, Inje University College of Medicine; Byoung Doo Rhee,
Inje University College of Medicine
This study investigates students’ experience with
using Standard Patients (SP) as a problem representation method compared to
using video cases in Problem-Based Learning. The results revealed that SPs led
significantly positive experiences in motivation, reflection, authenticity,
patient-doctor communication, and attitude toward patients when compared to
video cases; and SPs offered more challenges than video cases in problem
identification
RTD -
Development, Validation, and Investigation of Research Methods and Instruments
2:15 to 3:15pm, 2nd Level, Grand 8
Development and
Validation of the Educational Technologist Competencies Survey - Albert Dieter
Ritzhaupt, University of Florida; YoungJu Kang
The purpose of this research was to identify the competencies of an educational technologist. The instrument developed in this research was created based on a conceptual framework. Following the conceptual framework, we conducted an extant review of literature and an emergent theme analysis on 400 job announcements. The instrument was released to educational technology professionals (n=200) for validation.
The purpose of this research was to identify the competencies of an educational technologist. The instrument developed in this research was created based on a conceptual framework. Following the conceptual framework, we conducted an extant review of literature and an emergent theme analysis on 400 job announcements. The instrument was released to educational technology professionals (n=200) for validation.
Development and
validation of the Abbreviated Technology Anxiety Scale (ATAS) - Albert Dieter
Ritzhaupt, University of Florida; Anne Corinne Huggins, University of Florida;
Savannah Madley, University of Florida; Krista Ruggles, University of Florida;
Matthew Wilson, University of Florida
Technology is used in virtually all aspects of our lives. We often neglect the fact that technology can cause anxiety in people based on a number of demographics. In this paper, we present the development and validation of the Abbreviated Technology Anxiety Scale (ATAS), a 21-item instrument that assesses technology anxiety.
Technology is used in virtually all aspects of our lives. We often neglect the fact that technology can cause anxiety in people based on a number of demographics. In this paper, we present the development and validation of the Abbreviated Technology Anxiety Scale (ATAS), a 21-item instrument that assesses technology anxiety.
Investigating
the effectiveness of an adaptive learning system and predictors of student
success - Kent
Sabo, Arizona State University
Study on the effectiveness of an adaptive college
algebra course and to investigate how measures of academic achievement and
student characteristics predicted success in the adaptive learning environment.