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Office of Career, Technical, and Adult Education, US Department of Education, 2023
This playbook provides ways in which Higher Education Agencies (sometimes referred as the State Higher Education Executive Officers) and teams can blur the lines between high school, postsecondary education, and the workforce. Higher Education Agencies (HEAs) play a significant role to Raise the Bar for student success by developing an…
Descriptors: College Administration, Teamwork, High Schools, Postsecondary Education
Chen, Bodong; Zhang, Jianwei – Journal of Learning Analytics, 2016
Innovation and knowledge creation call for high-level epistemic agency and design-mode thinking, two competencies beyond the traditional scopes of schooling. In this paper, we discuss the need for learning analytics to support these two competencies, and more broadly, the demand for education for innovation. We ground these arguments on a…
Descriptors: Epistemology, Educational Research, Data Collection, Data Analysis
Hao, Jiangang; Smith, Lawrence; Mislevy, Robert; von Davier, Alina; Bauer, Malcolm – ETS Research Report Series, 2016
Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…
Descriptors: Evaluation Methods, Games, Computer Assisted Testing, Data Collection
Bliss, Linda A. – International Journal of Adult Vocational Education and Technology, 2016
The purpose of this article is to introduce readers to phenomenological inquiry, an inductive qualitative research approach that is rooted in the philosophical proposition that researchers can gain valuable insight into the structure of how people understand their experiences. It is assumed that there is a structure or essence to the meaning…
Descriptors: Phenomenology, Qualitative Research, Research Methodology, Experience
Sun, Xiao-Ming – Journal of Speech, Language, and Hearing Research, 2016
Purpose: The purpose of this study was to present normative data of tympanometric measurements of wideband acoustic immittance and to characterize wideband tympanograms. Method: Data were collected in 84 young adults with strictly defined normal hearing and middle ear status. Energy absorbance (EA) was measured using clicks for 1/12-octave…
Descriptors: Acoustics, Test Reliability, Adults, Hearing (Physiology)
Hijazi, Sam – Association Supporting Computer Users in Education, 2016
Universities need to keep up with the demand of the business world when it comes to Big Data. The exponential increase in data has put additional demands on academia to meet the big gap in education. Business demand for Big Data has surpassed 1.9 million positions in 2015. Big Data, Business Intelligence, Data Analytics, and Data Mining are the…
Descriptors: Data Collection, Data Analysis, Computer Software, Spreadsheets
Abel, Todd; Poling, Lisa – Teaching Statistics: An International Journal for Teachers, 2015
Working with practicing teachers, this article demonstrates, through the facilitation of a statistical activity, how to introduce and investigate the unique qualities of the statistical process including: formulate a question, collect data, analyze data, and interpret data.
Descriptors: Statistical Analysis, Concept Formation, Data Collection, Data Interpretation
Barlow, Sarah – Australian Journal of Music Education, 2018
Education in Australia is driven by measurement of progress. Music education, however, requires students to engage in creative and experiential tasks. This article will address the inevitable conflicts between these two by suggesting that measurements of student work in fine detail can be made within a practical and engaging classroom without…
Descriptors: Student Evaluation, Learner Engagement, Music Education, Foreign Countries
Haywoode, Alyssa – Phi Delta Kappan, 2018
Community schools have a long history of helping students succeed in school by addressing the problems they face outside of school. But without specific data on students and the full range of their needs, community schools cannot be as effective as they would like to be. Driven by the desire to make more data-informed decisions, the Children's Aid…
Descriptors: Community Schools, Data, Decision Making, Partnerships in Education
Shields, Julie – Communique, 2018
While working in the Social and Emotional Support Services (SESS) for Montgomery County Public Schools in Maryland (MCPS), the author initiated a project to collect data on services to students with emotional needs. During the 2016-2017 school year, MCPS was the 17th largest school district in the country with nearly 160,000 students speaking 150…
Descriptors: Technology Uses in Education, Program Administration, Database Management Systems, Psychological Needs
Mandy, William; Clarke, Kiri; McKenner, Michele; Strydom, Andre; Crabtree, Jason; Lai, Meng-Chuan; Allison, Carrie; Baron-Cohen, Simon; Skuse, David – Journal of Autism and Developmental Disorders, 2018
We developed a brief, informant-report interview for assessing autism spectrum conditions (ASC) in adults, called the Developmental, Dimensional and Diagnostic Interview-Adult Version (3Di-Adult); and completed a preliminary evaluation. Informant reports were collected for participants with ASC (n = 39), a non-clinical comparison group (n = 29)…
Descriptors: Autism, Pervasive Developmental Disorders, Adults, Diagnostic Tests
Hope, Andrew – Education and Society, 2018
Recently there has been a growth in the surveillance of students' online activities. This has been facilitated not only by the increasing numbers of digital devices, but also through surveillance creep (Marx, 1998). Drawing upon this concept and associated ideas, including data creep, policy creep and concept creep, this paper explores the digital…
Descriptors: Telecommunications, Observation, Data Collection, Computer Software
Khan, Anupam; Ghosh, Soumya K. – Education and Information Technologies, 2018
Analysing the behaviour of student performance in classroom education is an active area in educational research. Early prediction of student performance may be helpful for both teacher and the student. However, the influencing factors of the student performance need to be identified first to build up such early prediction model. The existing data…
Descriptors: Data Collection, Data Analysis, Educational Research, Performance
Beardsley, M.; Hernández-Leo, D.; Ramirez-Melendez, R. – Journal of Computer Assisted Learning, 2018
Low-cost devices have widened the use of multimodal data in experiments providing a more complete picture of behavioural effects. However, the accurate collection and combination of multimodal and behavioural data in a manner that enables reproducibility is challenging and often requires researchers to refine their approaches. This paper presents…
Descriptors: Data Analysis, Learning Modalities, Measurement Equipment, Data Collection
Trump, Cary E.; Pennington, Robert C.; Travers, Jason C.; Ringdahl, Joel E.; Whiteside, Erinn E.; Ayres, Kevin M. – TEACHING Exceptional Children, 2018
Applied behavior analysis (ABA), or the application of behavioral principles to important social issues, has long served a crucial role in programming for special education students. Its procedures have been well established in the research literature and many deemed as evidence-based practices for students with and without disabilities.…
Descriptors: Behavior Modification, Special Education, Autism, Pervasive Developmental Disorders