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  Partner: UNT College of Information
 Department: Learning Technologies
Strategic Planning of Technology for Education: A Beginning Framework

Strategic Planning of Technology for Education: A Beginning Framework

Date: 1996
Creator: Allen, Jeff M.
Description: This article discusses a beginning framework for the strategic planning of technology in education. The strategic planning of technology framework introduced in this paper is broken into five distinct parts: student technology, teacher technology, teacher training, technology planning cycle, and technology cost. This framework is designed to assist technology planners, teachers (academic and vocational), and administrators as they begin planning for future technology implementation in their school district.
Contributing Partner: UNT College of Information
Training Employees With Disabilities: Strategies from Corporate Training

Training Employees With Disabilities: Strategies from Corporate Training

Date: 1996
Creator: Allen, Jeff M. & Walker, Michelle
Description: This article focuses on the strategies used by corporate trainers to effectively teach populations with disabilities in their corporate workplace. Specifically, training strategies, both methods and training aids, for individuals with physical or mental disabilities are investigated. Both educators and trainers strive to effectively teach all learners. Corporate trainers have challenges that are similar to the challenges seen by educators. This article offers a different perspective for career and technology educators who are looking for new strategies to increase the impact of teaching methods in their classroom.
Contributing Partner: UNT College of Information
The Challenges of Training and Retraining Mature Learners

The Challenges of Training and Retraining Mature Learners

Date: 1998
Creator: Ennis-Cole, Demetria & Allen, Jeff M.
Description: This article discusses challenges in training mature learners. Abstract: By 2005, older workers are projected to comprise 20 percent of the workforce (Barber, Crouch, & Merker, 1992). AT&T, General Electric, McDonalds, Traveler's Insurance, and Days Inn are just a few of the many companies that have already implemented older worker training programs to better utilize this growing older workforce (Hale, 1990; McNaught, 1994). Moloney and Paul (1992) suggest that updating older workers' skills cost less than hiring new graduates. Inter-generational secondary classroom and other retraining facilities must begin to prepare for the expected workforce of the future. In addition, vocational special needs educators must be aware of the special needs of the older learner associated with the aging process. This article explores the aging process from physical, cognitive, social and psychological perspectives, accommodations for age related changes, retraining mature learners, adaptations of the classroom environment, training technology issues, and successful corporate retraining programs to better prepare vocational educators for the workforce of the new millennium.
Contributing Partner: UNT College of Information
Educators', Administrators' and Students' Perceptions of Principles of Technology Programs in Pennsylvania

Educators', Administrators' and Students' Perceptions of Principles of Technology Programs in Pennsylvania

Date: 1998
Creator: Chinoda, Michelle D. & Allen, Jeff M.
Description: This article discusses educators', administrators' and students' perceptions of principles of technology programs in Pennsylvania. Abstract: This study assesses the Principles of Technology Applied Science high school courses taught in Pennsylvania. Specifically, this study determines: 1) the number of Level I and II Principle of Technology courses taught; 2) teachers', administrators' and students' perceptions toward the Principle of Technology high school curriculum; 3) Principle of Technology teachers' perceptions of student achievement on state outcomes in science and technology; and 4) how Principle of Technology courses are being infused into the existing curriculum. Findings from this study indicate that both administrators, teachers, and students react favorably to the Principle of Technology Applied Science high school courses.
Contributing Partner: UNT College of Information
Enhancing Assignment Completion in Academically Diverse Vocational Classes

Enhancing Assignment Completion in Academically Diverse Vocational Classes

Date: 1998
Creator: Rademacher, Joyce A. & Allen, Jeff M.
Description: Abstract: This article describes methods and procedures for (a) planning assignments in vocational settings that will meet the special learning needs of all students in the class and (b) teaching students a self-checking process to evaluate their own work for quality before turning it in to the teacher. In cooperation with Individual Education Plans, the planning component of The Quality Assignment Routine provides vocational special needs educators an additional tool to better facilitate learning in diverse vocational classrooms.
Contributing Partner: UNT College of Information
Investigating the Screwdriver: 25 Years of Technology Change

Investigating the Screwdriver: 25 Years of Technology Change

Date: 1998
Creator: Allen, Jeff M. & Wircenski, Jerry L.
Description: This article discusses changes in technology. Abstract: Technology can be defined as the utilization of theory, processes, information, and materials to improve the knowledge, skills, and attitudes of a society. Since 1973 there have been many technological changes in the field of vocational education. This article offers a broad look at some of the technology changes in the last 25 years, as well as strategies for implementation and planning in the new millennium.
Contributing Partner: UNT College of Information
The Journal for Vocational Special Needs Education

The Journal for Vocational Special Needs Education

Date: 1998
Creator: Allen, Jeff M.; Sarkees-Wircenski, Michelle & West, Lynda L.
Description: This issue of the Journal for Vocational Special Needs focuses on the aging process and its effects on society and the workforce. Aging is the one experience that we all have in common. Individuals are expected to live longer in the future. Many will undoubtedly work beyond the traditional retirement age. This means that the composition of workers will be a blend of people, both young and old.
Contributing Partner: UNT College of Information
Training Older Workers: Implications for HRD/HPT Professionals

Training Older Workers: Implications for HRD/HPT Professionals

Date: 1998
Creator: Allen, Jeff M. & Hart, Marcy
Description: This article discusses training older workers. In corporations across America, a race is on to find new ways to maximize human capital. An emphasis on lifelong learning will be vital for the success of our future workforce. As demographic shifts occur, the "older worker" will emerge as a primary target for this human development effort. This article explores the implications of this demographic shift for the human resource development and human performance technology (HRD/HPT) professional and recommends strategies for meeting this business need. First, the authors discuss the realities of this demographic shift and compare our current workforce demographics to those of the future. Next, the authors examine the common myths about the "older worker", as well as what current research reports about this special population. Finally, the authors examine the impact of this trend on our profession. The authors discuss strategies for modifying the workplace environment, reassessing workforce motivational strategies, and altering training practices in order to serve this older worker population. In conclusion, the authors look at the implications for the future in HRD/HPT research.
Contributing Partner: UNT College of Information
Technology in Secondary Career and Technical Education: Issues for the New Millennium

Technology in Secondary Career and Technical Education: Issues for the New Millennium

Date: 1999
Creator: Allen, Jeff M.; Walker, Michelle & Morehead, Connie
Description: This article discusses technology in secondary career and technical education. Today, school districts continually struggle with the following questions pertaining to career and technical education programs: How does career and technical education fit the secondary curriculum? What is the magic mixture of knowledge, skills, and attitudes needed to ensure that American students have the competitive edge in the workplace? How should school districts train teachers of career and technical education to teach in the information age? How will the efficacy of technology implementation in career and technical education be measured? What trends should drive changes in career and technical education? The authors state that as we move deeper into the information age, we must seek to resolve these issues. This article addresses each of these concerns by exploring the use of technology in the secondary career and technical education classroom.
Contributing Partner: UNT College of Information
A Fixed Effects Panel Data Model: Mathematics Achievement in the U.S.

A Fixed Effects Panel Data Model: Mathematics Achievement in the U.S.

Date: 2000
Creator: Sherron, Todd & Allen, Jeff M.
Description: This article discusses a fixed effects panel data model. Abstract: Statistical models that combine cross section and time series data offer analysis and interpretation advantages over separate cross section or time series data analyses (Matyas & Severstre, 1996). Time series and cross section designs have not been commonplace in the research community until the last 25 years (Tieslau, 1999). In this study, a fixed effects panel data model is applied to the National Education Longitudinal Study of 1988 (NELS:88) data to determine if educational process variables, teacher emphasis, student self-concept, and socio-economic status can account for variance in student mathematical achievement. A model that includes seven independent variables accounted for 25% of the variance in student mathematical achievement test score. The study provides educational researchers with an applied model for panel data analysis.
Contributing Partner: UNT College of Information
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