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Jennifer Ash – Grantee Submission, 2024
This How-To Guide is designed for school staff who want to implement a personalized messaging intervention to improve student attendance. During the 2022-23 and 2023-24 academic years, the National Center for Rural Education Research Networks (NCRERN) partnered with 47 rural districts in 16 states across the United States to pilot and test…
Descriptors: Attendance, Student Improvement, Intervention, Computer Mediated Communication
Shah, Priten – Jossey-Bass, An Imprint of Wiley, 2023
Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. "AI and the Future of Education" is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can…
Descriptors: Artificial Intelligence, Futures (of Society), Teaching (Occupation), Ethics
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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
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National Forum on Education Statistics, 2009
This Forum guide offers best practice suggestions on collecting and using student attendance data to improve performance. It includes a standard set of codes to make attendance data comparable across districts and states. There are real-life examples of how attendance information has been used by school districts. Chapter 1 discusses the…
Descriptors: Attendance, Data Collection, School Statistics, Information Utilization
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Sullivan, Richard J. – Social Work, 1982
Discusses the feasibility of automation for the human services. Considers the automated business office, administrative applications and the automation of direct services. (RC)
Descriptors: Accountability, Automation, Human Services, Information Services
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Hieb, Barry R. – Journal of Dental Education, 1991
Considered are aspects of effective dental automation, including integrating "islands of computing"; definition of a dental record; common nomenclature; an enabling architecture; capturing data at its source; computer-assisted software engineering; and system security. (DB)
Descriptors: Automation, Computer Software, Computers, Dentistry
Podgorski, Will – School Planning & Management, 2002
Examines the prevailing definitions and responsibilities of product, network, and system integrators for building automation systems; offers a novel approach to system integration; and sets realistic expectations for the owner in terms of benefits, outcomes, and overall values. (EV)
Descriptors: Automation, Definitions, Educational Facilities, Educational Facilities Planning
Penn, Vivian-Sue – NJEA Review, 1982
The increasing impact of computers in education is discussed with some concerns for teachers and considerations of the uses of automation. Suggestions for finding more information are given. (CM)
Descriptors: Automation, Computer Science, Educational Media, Educational Technology
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Nickens, John – Journal of Education Finance, 1980
Discusses such topics as selection of data elements, the entering and updating of data, and the computer software for an automated property accounting system. (IRT)
Descriptors: Automation, Databases, Elementary Secondary Education, Property Accounting
School Business Affairs, 1986
The University of Pittsburgh has a 2-year agreement designating the Xerox Corporation as the primary supplier of word processing and related office automation equipment in order to increase productivity and more efficient use of campus resources. (MLF)
Descriptors: Automation, Database Management Systems, Higher Education, Office Practice
Jones, Richard M. – School Business Affairs, 1981
A computer program that utilizes an optical scanning machine is used for ordering supplies in a Louisiana school system. The program provides savings in time and labor, more accurate data, and easy-to-use reports. (Author/MLF)
Descriptors: Automation, Computer Programs, Cost Effectiveness, Efficiency
Harrison, Barker – American School and University, 1979
Investment in efficient, high-speed machines is a step toward greater productivity in school maintenance. (Author/MLF)
Descriptors: Automation, Cost Effectiveness, Efficiency, Elementary Secondary Education
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Monteith, Brian D. – Journal of Dental Education, 1991
Three principles of classification are stressed in the development of electronic dental patient records and clinical databases: (1) the classification must have a suitable organizing principle; (2) use must be made of standard terminology; and (3) there must be standard operational criteria. (DB)
Descriptors: Automation, Classification, Database Design, Dentistry
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Wagner, Ina-Veronika; Schneider, Werner – Journal of Dental Education, 1991
The paper discusses computer-based decision support in the following areas: the dental patient record system; diagnosis and treatment of diseases of the oral mucosa; treatment strategy in complex clinical situations; diagnosis and treatment of functional disturbances of the masticatory system; and patient recall. (DB)
Descriptors: Automation, Clinical Diagnosis, Computers, Decision Making
School Business Affairs, 1984
Describes a computer-assisted paperless system for the telephone marketing industry and claims it will enable schools to make telephone fund raising more successful. (MLF)
Descriptors: Automation, Computer Oriented Programs, Elementary Secondary Education, Fund Raising
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