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Pouliakas, Konstantinos, Ed. – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Filderman, Marissa J.; Toste, Jessica R. – TEACHING Exceptional Children, 2018
Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…
Descriptors: Reading Difficulties, Reading Skills, Individualized Instruction, Decision Making
Grace, Christine Cooper – Journal on Excellence in College Teaching, 2018
This article advocates using Leventhal's (1980) justice judgment theory to incorporate distributive and procedural justice into summative assessment of student learning in higher education. It reviews important commonalities between the process of employee performance appraisal in organizations and practices to assess student learning in academe…
Descriptors: Justice, Summative Evaluation, Student Evaluation, College Students
Anderson, Lorin W. – Education Policy Analysis Archives, 2018
In this summary article, six recommendations for the design, implementation, and interpretation of educational evaluations are presented and discussed. These recommendations are based on common "threads" that run through most, if not all, of the papers included in this special issue. The recommendations concern (1) the need for awareness…
Descriptors: Educational Assessment, Evaluation Methods, Program Design, Program Implementation
Kwong, Theresa; Hafiz, Muhammad; Lau, Peter; Chan, Isaac – Journal on Excellence in College Teaching, 2018
Differences in cultural background and prior academic background significantly affect the perception of academic integrity and ethics (AIE) among university students. While upholding the highest standards of AIE is crucial both academically and professionally, such abstract concepts are difficult to teach in the traditional classroom. With mobile…
Descriptors: Integrity, Ethics, Cultural Background, Prior Learning
Bahr, Maria – NADE Digest, 2018
The value of the National Association for Developmental Education (NADE) accreditation process is far-reaching. Not only do students and programs benefit from the process, but also the entire institution. Through data collection of student performance, analysis, and resulting action plans, faculty and administrators can work cohesively towards…
Descriptors: Accreditation (Institutions), Developmental Studies Programs, Professional Associations, Educational Benefits
Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Gould, Robert; Bargagliotti, Anna; Johnson, Terri – Statistics Education Research Journal, 2017
Participatory sensing is a data collection method in which communities of people collect and share data to investigate large-scale processes. These data have many features often associated with the big data paradigm: they are rich and multivariate, include non-numeric data, and are collected as determined by an algorithm rather than by traditional…
Descriptors: Secondary School Teachers, Logical Thinking, Data Collection, Data
Gosa, Kathy; Huennekens, Bill – Center for the Integration of IDEA Data, 2015
This brief provides a definition of an integrated data system, identifies who would benefit from the information provided by an integrated data system, and examines the challenges and costs associated with data integration, as well as potential benefits to creating an integrated data system. [The Center for the Integration of IDEA Data (CIID) is…
Descriptors: Information Management, Database Management Systems, Databases, Decision Making
Walker, Kristen L.; Moran, Nora – Journal of Marketing Education, 2019
The marketing field is undergoing dramatic shifts in the digital age. The increasing reliance on, collection, and use of data enabled by technological innovations requires teaching the responsible use of data for personalization, and marketing educators play a critical role. Students, universities, accrediting agencies, and employers demand…
Descriptors: Data Use, Social Responsibility, Consumer Economics, Business Administration Education
Bussey, Karen; Dancy, Kim; Voight, Mamie – Institute for Higher Education Policy, 2019
Accurately evaluating what works -- and what doesn't -- to improve student progression through higher education requires the robust use of reliable data. States play a pivotal role in compiling and using data to empower student choice, spur continuous institutional and system improvement, and develop evidence-based solutions that promote college…
Descriptors: Postsecondary Education, Evidence Based Practice, Data Collection, Data Use
Association for Institutional Research, 2018
Higher education institutions in the United States have collected and analyzed data for decades. From mandatory reporting for state and federal compliance to ad hoc reporting for internal and external stakeholders, there are myriad business purposes for which administrators, staff, and faculty routinely gather data. As more colleges and…
Descriptors: Colleges, Data Collection, Data Analysis, Strategic Planning
Markant, Douglas B.; Settles, Burr; Gureckis, Todd M. – Cognitive Science, 2016
Collecting (or "sampling") information that one expects to be useful is a powerful way to facilitate learning. However, relatively little is known about how people decide which information is worth sampling over the course of learning. We describe several alternative models of how people might decide to collect a piece of information…
Descriptors: Information Seeking, Search Strategies, Independent Study, Active Learning
Minamizaki, Noriko – International Journal of Learning and Change, 2017
Product development of Japanese companies has changed greatly from the post-war revival period, when it was promoted mainly to provide low-cost, high-quality products. In recent years, it has become necessary to develop products and services that correspond to social issues. Research and development has shifted from a technological basis to a…
Descriptors: Strategic Planning, Research and Development, Material Development, Manufacturing
Li, Weifeng – ProQuest LLC, 2017
Social media analytics is a critical research area spawned by the increasing availability of rich and abundant online user-generated content. So far, social media analytics has had a profound impact on organizational decision making in many aspects, including product and service design, market segmentation, customer relationship management, and…
Descriptors: Social Media, Information Security, Role, Crime