lt dept overview
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TRANSCRIPT
Departmental Overview
History
Interdisciplinary Roots• Created from historically successful
programs
Industrial Arts
Industrial Arts
Vocational Education
Occupational & Vocational
Education
Applied Technology, Training &
Development
Industrial Technology
Engineering Technology
Computer Science
Computer Education &
Cognitive Systems
Computer Science
Department of
Learning Technologi
es
His
tory
of
Dep
art
men
t
Manual Arts (1909 at
UNT)
4
Our Last 10 Years • During the last 10 years, the
proposed unit’s growth exceeded all existing COE departments with an average annual SCH increase of 7.90%.
• During the last 10 years, the BAAS undergraduate program exceeded the College of Education average with an average annual SCH increase of 8.78% (8.78% vs 2.76%). Source: COE SCH report
COE2.22%
CDHE4.48%
KHPR 1.06%
TE&A1.85%
TAC 3.60%
LT 7.90%
Source: COE SCH report
Planned Effectiveness
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Effectiveness• Due to the combination of these to
successful programs, the following steps are being take to increase efficiency:– Degree Programs
• Deletion of two graduate degree (M.Ed., Ed.D.)
• 40% increased effectiveness.– Undergraduate Program
• Only UNT online undergraduate program.• Five large sections will be
developed within the next five years. U
niv
ers
ity C
ore
Occ
upati
onal
Speci
aliz
ati
on
PerformanceTechnology
Computing Technology
Learning Technology
BAAS Degree
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Effectiveness (cont.)
• Masters Program– Online foundation and research core– 40% increased effectiveness
• Doctoral Program– Online foundation and research core– 20% increased effectiveness
Foundati
on C
ours
es
Rese
arc
h C
ore
PerformanceTechnology
Computing Technology
Learning Technology
Graduate Degrees
Planning forStudent/Faculty
Success
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Faculty/Student SuccessResearch constructs used to guide degree programs, faculty research and student-centered research.
White papers describing research constructs have been created in a partnership between students and LT faculty.
Learning Technologies
Performance Technologies
Computing Technologies
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White Papers• Three unit “white papers” have been
developed in a cooperative effort between current students and faculty.– Learning Technologies– Computing Technologies– Performance Technologies
• These white papers will provide guidance to future students as they choose their broad research constructs and specific areas of research interest.
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Research Constructs• Provides inherent collaboration
opportunities while maintaining faculty independence.
• Overlapping faculty research in three primary constructs:– Learning Technologies– Computing Technologies– Performance Technologies
• Provides students an opportunity to study a research construct with multiple faculty with similar research interest.
• Provides coherence in departmental activities and faculty/student research
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DefinitionsTechnology
Can be defined as the utilization of theory, systems, processes, and tools that advance society by improving skill sets, promoting global and local connectivity, and increasing the productivity and knowledge of a society (Wircenski, Allen 1998).
Learning technologyIncludes the use of a broad range of communication, information, and related technologies to support learning and teaching (Association of Learning Technology, 2006).
The construct encompasses aspects of learning ranging from learning styles and teach techniques to curriculum design, artificial intelligence, computer-assisted instruction, and human-computer interaction.
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DefinitionsPerformance Technology
Is a “systematic process/methodology of linking business, educational, and governmental goals and strategies with workforce responsibilities for achieving goals” (Addison, 2003, p.14; Van Tiem, Moseley & Dessinger, 2003).
Computing TechnologyRefers to the process of utilizing tools, devices, and implements to support learning and performance to increase interaction, communication, and learning outcomes.
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Faculty Research
Computing Technologies
LearningTechnologies
Performance Technologies
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Faculty Research
Beginnings
Learning TechnologiesEmerging Issues
in HRD
Mobile Technology for Teaching and Learning
Distance Delivery of Education
Literacy in Emerging Technologies
Multi-user Virtual EnvironmentsFor Teaching and Learning
(J. Li)
(C. Norris)
(J. Poirot)
(S. Warren)
(G. Jones)Technology Utilization with Special Populations
Technology Integration intoTeaching and Learning
(D. Ennis-Cole)
(G. Knezek)
Teacher Improvement
Special Populations
(J. Wircenski)
(M. Wircenski)
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Faculty Research
Beginnings
Performance Technologies
Training Outcomes in Higher Education
Emerging Issues in HRD
Mobile Technology for Teaching and Learning
Emerging Issues in Human Performance
Technology
Distance Delivery of Education
Literacy in Emerging Technologies
Multi-user Virtual EnvironmentsFor Teaching and Learning
(R. Elleven)
(J. Li)
(C. Norris)
(J. Allen)(J. Poirot)
(S. Warren)
(G. Jones)
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Faculty Research
Beginnings
ComputingTechnologies
Mobile Technology for Teaching and Learning
Emerging Issues in Human Performance
Technology
Distance Delivery of Education
Multi-user Virtual EnvironmentsFor Teaching and Learning
(C. Norris)
(J. Allen)(J. Poirot)
(G. Jones)Technology Utilization with Special Populations
Technology Integration intoTeaching and Learning
(D. Ennis-Cole)
(G. Knezek)
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Faculty Research
Beginnings
Learning Technologies
Performance Technologies
ComputingTechnologies
Training Outcomes in Higher Education
Emerging Issues in HRD
Mobile Technology for Teaching and Learning
Emerging Issues in Human Performance
Technology
Distance Delivery of Education
Literacy in Emerging Technologies
Multi-user Virtual EnvironmentsFor Teaching and Learning
(R. Elleven)
(J. Li)
(C. Norris)
(J. Allen)(J. Poirot)
(S. Warren)
(G. Jones)Technology Utilization with Special Populations
Technology Integration intoTeaching and Learning
(D. Ennis-Cole)
(G. Knezek)
Teacher Improvement
Special Populations
(J. Wircenski)
(M. Wircenski)
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2007 - 2008External Funding
Beginning Educators Gain Instructional Nurturance
Midwestern State University $317,051
Beginning Educators Gain Instructional Nurturance
Midwestern State University $317,051
On-line Graduate Level Courses
Higher Ed Holdings $20,800
Presidential Timeline Evaluation Project
University of Texas at Austin $21,700
SimMentoring: Guiding Development from Virtual to Real Teaching
U.S. Department of Education $599,889
Learning Management System Support
Education Service Center Region 10 $72,470South Central
Coalition of the National Girls Collaborative Project
National Science Foundation $199,935
Transformation 2013 T-STEM Center Evaluation
Education Service Center Region 13 $80,000
Professional Development for Health Science Technology Education
Texas Education Agency $130,000
Educational Excellence for Trade and Industrial Technology Education
Texas Education Agency $275,000
Howard College Teacher Quality Evaluation
Howard College $10,000
Educational Excellence for Career and Technical Education: Arts, Audio/visual Technology and Communications
Texas Education Agency $350,000
Evaluation of KERA's First Book Project
North Texas Public Broadcasting, Inc $11,500
Education Excellence for Health Science Technology Education
Texas Education Agency $275,000
$3,483,345.00 in 2007 – 2008 Funding
lt.unt.edu