Departmental Overview

History

Interdisciplinary Roots Created from two historically successful programs –Applied Technology, Training and Development –Computer Education and Cognitive Systems 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 Technologies History of Department

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

6 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. University Core Occupational Specialization Performance Technology Computing Technology Learning Technology BAAS Degree

7 Effectiveness (cont.) Masters Program –Online foundation and research core –40% increased effectiveness Doctoral Program –Online foundation and research core –20% increased effectiveness Foundation Courses Research Core Performance Technology Computing Technology Learning Technology Graduate Degrees

Planning for Student/Faculty Success

9 Faculty/Student Success Research 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

10 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.

11 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

12 Definitions Technology 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 technology Includes 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.

13 Definitions Performance 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 Technology Refers to the process of utilizing tools, devices, and implements to support learning and performance to increase interaction, communication, and learning outcomes.

14 Faculty Research Computing Technologies Learning Technologies Performance Technologies

15 Faculty Research Beginnings Learning Technologies Emerging Issues in HRD Mobile Technology for Teaching and Learning Distance Delivery of Education Literacy in Emerging Technologies Multi-user Virtual Environments For Teaching and Learning (J. Li) (C. Norris) (J. Poirot) (S. Warren) (G. Jones) Technology Utilization with Special Populations Technology Integration into Teaching and Learning (D. Ennis-Cole) (G. Knezek) Teacher Improvement Special Populations (J. Wircenski) (M. Wircenski)

16 Faculty Research Beginnings Performance Technologies 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 Environments For Teaching and Learning (J. Li) (C. Norris) (J. Allen) (J. Poirot) (S. Warren) (G. Jones) Human Performance through Workplace Spirituality (K. Nimon)

17 Faculty Research Beginnings Computing Technologies Mobile Technology for Teaching and Learning Emerging Issues in Human Performance Technology Distance Delivery of Education Multi-user Virtual Environments For Teaching and Learning (C. Norris) (J. Allen) (J. Poirot) (G. Jones) Technology Utilization with Special Populations Technology Integration into Teaching and Learning (D. Ennis-Cole) (G. Knezek) Social Dimension of Communications Technology (J. Enriquez)

18 Faculty Research Beginnings Learning Technologies Performance Technologies Computing Technologies Human Performance through Workplace Spirituality 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 Environments For Teaching and Learning (K. Nimon) (J. Li) (C. Norris) (J. Allen) (J. Poirot) (S. Warren) (G. Jones) Technology Utilization with Special Populations Technology Integration into Teaching and Learning (D. Ennis-Cole) (G. Knezek) Teacher Improvement Special Populations (J. Wircenski) (M. Wircenski) Social Dimension of Communications Technology (J. Enriquez)

External Funding

Beginning Educators Gain Instructional Nurturance Midwestern State University$317,051 Beginning Educators Gain Instructional Nurturance Midwestern State University$317,051 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$72,470 South 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 On-line Graduate Level Courses Higher Ed Holdings$20,800 $3,620, FY 2008 Funding

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