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Thompson, Greg; Gulson, Kalervo N.; Swist, Teresa; Witzenberger, Kevin – Learning, Media and Technology, 2023
The use of automated decision-making systems is increasing in education. While the potential impacts of ADM are becoming widely known amongst experts, the perspectives of those impacted by ADM remain peripheral. To broaden expertise and participation, this paper proposes that ADM needs to be considered as a sociotechnical controversy, as part of a…
Descriptors: Automation, Decision Making, Educational Technology, Democracy
Baran, Evrim; AlZoubi, Dana; Morales, Anasilvia Salazar – TechTrends: Linking Research and Practice to Improve Learning, 2023
Computational analysis methods and machine learning techniques introduce innovative ways to capture classroom interactions and display data on analytics dashboards. Automated classroom analytics employ advanced data analysis, providing educators with comprehensive insights into student participation, engagement, and behavioral trends within…
Descriptors: Automation, Learning Analytics, Stakeholders, Computation
Park, Claire Su-Yeon; Park, Jee Young – Journal of Learning and Teaching in Digital Age, 2019
The Artificial Intelligence (AI)-driven automated decision-making support system has been heralded as a considerable workforce replacement in the near future by automating mundane repetitive tasks and eliminating time-consuming support tasks in all disciplines (Park & Glenn, 2017). Even though a number of practical hurdles in the field of the…
Descriptors: Artificial Intelligence, Automation, Decision Making, Clinical Diagnosis
New England Journal of Higher Education, 2018
New England Board of Higher Education's Commission on Higher Education & Employability has thought hard over the past year about the increasing role of artificial intelligence and robotics in the future of life and work. Many others are also waking up to this landscape, which not so long ago seemed like science fiction. Machines have changed…
Descriptors: Artificial Intelligence, Robotics, Decision Making, Moral Values
Rodafinos, Angelos – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This paper presents some of the issues that academia faces in both the detection of plagiarism and the aftermath. The focus is on the latter, how academics and educational institutions around the world can address the challenges that "follow" the identification of an incident. The scope is to identify the need for and…
Descriptors: Plagiarism, Intervention, Prevention, Higher Education
Welch, Vivian; Mathew, Christine; Marins, Luciana M.; Ghogomu, Elizabeth T.; Dowling, Sierra; Abdisalam, Salman; Madani, Mohamad T.; Murphy, Emma; Kebedom, Kisanet; Ogborogu, Jennifer; Gallagher-Mackay, Kelly – Campbell Systematic Reviews, 2020
The Organization for Economic Co-operation and Development (OECD) estimated that approximately 9% of current jobs within OECD member states are threatened with automation and digitalization--all significant successes and advances in artificial intelligence, robotics, and computer science. With such global changes and forecasts, in the labor…
Descriptors: Skill Development, International Organizations, Automation, Unemployment
Aoun, Joseph E.; Kosslyn, Stephen M. – Liberal Education, 2018
Technology is a catalyst that is reconfiguring every profession, from finance to medicine to media. Old verities about "useful" skills are disappearing into the cloud. Many students give the existential question "What do I want to be?" a simple response: "Employed." It is not obvious what skills that will require in a…
Descriptors: Artificial Intelligence, 21st Century Skills, Automation, Context Effect
Rupp, André A. – Applied Measurement in Education, 2018
This article discusses critical methodological design decisions for collecting, interpreting, and synthesizing empirical evidence during the design, deployment, and operational quality-control phases for automated scoring systems. The discussion is inspired by work on operational large-scale systems for automated essay scoring but many of the…
Descriptors: Design, Automation, Scoring, Test Scoring Machines
Harkema, Craig; Avery, Cheryl – New Review of Academic Librarianship, 2015
In December 2012, the University of Saskatchewan Library's University Archives and Special Collections acquired the complete image collection of Courtney Milne, a professional photographer whose worked encompassed documentary, abstract and fine art photographs. From acquisition to digital curation, the authors identify, outline, and discuss the…
Descriptors: Case Studies, Library Development, Library Automation, Electronic Libraries
Paulus, Amy R. – Journal of Access Services, 2014
The Main Library Service Desk is a one-stop academic help center located between a newly renovated student-focused space called the Learning Commons and the library collections. Services began with the first day of classes, August 26, 2013, and assessment has been ongoing, in part due to the availability of data. Staffing levels, staffing hours,…
Descriptors: Decision Making, Academic Libraries, Library Services, User Needs (Information)
Tysseling, John C.; Zibelman, Audrey; Freifeld, Allen – Facilities Manager, 2011
Most higher education facilities have already accomplished some measure of a "microgrid" investment with building control systems (BCS), energy management systems (EMS), and advanced metering infrastructure (AMI) installations. Available energy production facilities may include boilers, chillers, cogeneration, thermal storage, electrical…
Descriptors: Higher Education, Educational Facilities, Facilities Management, Management Systems
Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods

Bell, Steven J.; Cronin-Kardon, Cynthia – College & Research Libraries, 1998
Offers exploratory research on the automation decision process for library administrators who are considering a new library management system (LMS) and those factors that lead to decision difficulty. Using the Garbage Can Model of Organizational Choice as a theoretical framework for LMS, this study uses decision resolution as a criterion of…
Descriptors: Decision Making, Library Administration, Library Automation, Organizational Theories
Starr, Jennie – Searcher, 1999
Presents factors for librarians to consider when decision-making about information retrieval. Discusses indexing theory; thesauri aids; controlled vocabulary or thesauri to increase access; humans versus machines; automated tools; product evaluations and evaluation criteria; automated classification tools; content server products; and document…
Descriptors: Access to Information, Automation, Decision Making, Information Management

Cheney, Hal – Library Software Review, 1993
Describes a project control system for Indiana State University's Library Systems and Automation Department. Organizing project information, managing priorities, defining projects and recurring activities, time management, identifying tasks, and service requests are discussed. The management decision-making process for new, proposed, and completed…
Descriptors: College Libraries, Decision Making, Library Administration, Library Automation