Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 8 |
Descriptor
Data Processing | 33 |
Educational Change | 33 |
Educational Research | 7 |
Educational Technology | 7 |
Technological Advancement | 7 |
Change Strategies | 6 |
Elementary Secondary Education | 6 |
Data Collection | 5 |
Learning Theories | 5 |
Problem Solving | 5 |
Algebra | 4 |
More ▼ |
Source
Author
Newstead, Karen, Ed. | 4 |
Olivier, Alwyn, Ed. | 4 |
Bozeman, William C. | 1 |
Brandl, Laura | 1 |
Burns, Laura J. | 1 |
Caton, Joyce J., Ed. | 1 |
Chauncey, Henry | 1 |
Corey, Mary Louise | 1 |
Dede, Chris | 1 |
Destino, Tom | 1 |
Dever, Jill A. | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 4 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Postsecondary Education | 1 |
Preschool Education | 1 |
Secondary Education | 1 |
Laws, Policies, & Programs
Elementary and Secondary… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Stadler, Matthias; Brandl, Laura; Greiff, Samuel – Journal of Computer Assisted Learning, 2023
Background: Over the last 20 years, educational large-scale assessments have undergone dramatic changes moving away from simple paper-pencil assessments to innovative, technology-based assessments. This comprehensive switch has led to some rather technical improvements such as identifying early guessing or improving standardization. Objectives: At…
Descriptors: Interaction, Measurement, Data Processing, Sustainability
Dede, Chris – Educational Technology, 2016
Data-informed instructional methods offer tremendous promise for increasing the effectiveness of teaching, learning, and schooling. Yet-to-be-developed data science approaches have the potential to dramatically advance instruction for every student and to enhance learning for people of all ages. Next steps that emerged from a recent National…
Descriptors: Data, Evidence Based Practice, Instructional Improvement, Educational Research
Lam, Ho Cheong – Educational Research for Policy and Practice, 2016
One of the purposes of introducing the use of action research in schools is to bring about educational change in policy and practice. To make this happen, it is of paramount importance to look into how teachers actually see action research. We, the writers of this paper, are teacher educators, teaching preschool teachers courses related to action…
Descriptors: Investigations, Action Research, Phenomenology, Educational Change
Neal, Jennifer Watling; Neal, Zachary P.; VanDyke, Erika; Kornbluh, Mariah – American Journal of Evaluation, 2015
Qualitative data offer advantages to evaluators, including rich information about stakeholders' perspectives and experiences. However, qualitative data analysis is labor-intensive and slow, conflicting with evaluators' needs to provide punctual feedback to their clients. In this method note, we contribute to the literature on rapid evaluation and…
Descriptors: Qualitative Research, Data Analysis, Evaluation, Evaluation Methods
Waters, John K. – Campus Technology, 2012
In the case of higher education, the hills are more like mountains of data that "we're accumulating at a ferocious rate," according to Gerry McCartney, CIO of Purdue University (Indiana). "Every higher education institution has this data, but it just sits there like gold in the ground," complains McCartney. Big Data and the new tools people are…
Descriptors: Higher Education, Educational Change, Data, Data Processing
Mathies, Charles; Valimaa, Jussi – Tertiary Education and Management, 2013
Recent changes in European higher education have accompanied a strong desire and need by national ministries to have comparable data across institutions and a growing recognition from campus leaders that effective planning and decision-making requires reliable institutional data and analyses. This has induced changes and restructuring of duties…
Descriptors: Higher Education, Institutional Evaluation, Governance, Data Analysis
Thomas, Ronald S. – Principal Leadership, 2010
Despite all the speeches, articles, and meetings about data-based instructional decision making, the author's observation after more than 20 years of working with middle and high school teams is that teachers and administrators often make important instructional decisions on the basis of historical precedent, anecdotal information, experience, or…
Descriptors: Decision Making, Data Processing, Decision Making Skills, Management Information Systems
Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Burns, Laura J.; Dever, Jill A.; Ottem, Randolph; Rogers, James E.; Jin, Ying; Leinwand, Steve – National Center for Education Statistics, 2011
The High School Longitudinal Study of 2009 (HSLS:09) is the fifth in a series of National Center for Education Statistics (NCES) secondary longitudinal studies. The core research questions for HSLS:09 explore secondary to postsecondary transition plans and the evolution of those plans; the paths into and out of science, technology, engineering,…
Descriptors: High Schools, Longitudinal Studies, Secondary Education, School Statistics
Linnaus, Vernon F. – J Bus Educ, 1969
Descriptors: Accounting, Automation, Bookkeeping, Business Education
Chauncey, Henry; Kessler, H. Eugene – Journal of Educational Data Processing, 1972
Resource sharing of computer facilities is seen as the best hope in the future for computing facilities at colleges and universities and for dealing effectively with change. (RA)
Descriptors: Computers, Data Processing, Educational Change, Higher Education
Larson, Jay – 1986
Success in using a computer in education as a problem-solving tool requires a change in the way of thinking or of approaching a problem. An algorithm, i.e., a finite step-by-step solution to a problem, can be designed around the data processing concepts of input, processing, and output to provide a basis for classifying problems. If educators…
Descriptors: Algorithms, Computers, Data Processing, Educational Change

Corey, Mary Louise – Business Education Forum, 1974
The advent of computer technology has necessitated the revision of bookkeeping and accounting programs. Responsibility for leadership in authorizing the revision and providing the opportunities for teachers to learn automated data processing techniques rests with State and local supervisors of business education programs. (AG)
Descriptors: Accounting, Bookkeeping, Business Education Teachers, Data Processing
GREEN, JERALD E. – 1966
EDUCATION AND SOCIAL CHANGE ARE CLOSELY LINKED, BUT CHANGES IN EDUCATION ARE USUALLY SLOW. RECENT CONFERENCES AND PUBLICATIONS HAVE CONSIDERED STRATEGIES FOR PLANNED CHANGE TO MEET CURRENT SOCIETAL NEEDS. A MAJOR AREA STUDIED IS PUPIL PERSONNEL SERVICES. THE FOCUS OF THE INTERPROFESSIONAL RESEARCH COMMISSION ON PUPIL PERSONNEL SERVICES (IRCOPPS)…
Descriptors: Data Processing, Educational Change, Government Role, Research Needs
Schaulis, Robert E.; Gripp, Thomas H. – Journal of Educational Data Processing, 1974
Improvement of information systems to support management and planning in education is dependent on a change to a rational management style. It can be argued that this same prerequisite exists for the return of public confidence and support. (Author)
Descriptors: Accountability, Data Processing, Educational Administration, Educational Change

Newman, Charles A. – Business Education Forum, 1979
Discusses the effects of current economic conditions on business education, the increased demand for evaluative data to be made available through electronic data processing, and the challenge to update adult education programs based on today's changing job requirements, such as automated office procedures and in-plant courses. (MF)
Descriptors: Adult Vocational Education, Business Education, Data Processing, Economic Factors