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Knox, Jeremy; Williamson, Ben; Bayne, Sian – Learning, Media and Technology, 2020
This paper examines visions of 'learning' across humans and machines in a near-future of intensive data analytics. Building upon the concept of 'learnification', practices of 'learning' in emerging big data-driven environments are discussed in two significant ways: the "training" of machines, and the "nudging" of human…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Man Machine Systems
Chavez, Michael; Mullen, Brian – Strategic Enrollment Management Quarterly, 2020
This article describes the step-by-step process of how data science, marketing and communications, and higher education improved access and success for students. Over the last three years, strategic planning efforts helped develop a data-informed culture on campus. The work described within the playbook required time, energy, and a lot of…
Descriptors: Data Use, Strategic Planning, Student Recruitment, School Holding Power
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2020
Although the number of countries conducting large-scale assessments has significantly increased over the past two decades, this has not necessarily led to the effective use of learning assessment data in policymaking and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Student Evaluation, Foreign Countries, Elementary Secondary Education, National Competency Tests
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork
Kilgore, Wendy – American Association of Collegiate Registrars and Admissions Officers (AACRAO), 2022
The November 2022 60-Second Survey invited AACRAO members to share how, if at all, their institution uses degree-audit and/or education-planning technology to support students. There were 653 responses from 11 countries. The majority of responses were from the United States (n = 621) and Canada (n = 23). Sixty-three percent of respondents serve…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Educational Technology
European Commission, 2022
This report reviews the outcomes of Erasmus+ projects promoting inclusion in education, implemented between 2014 and 2020. Starting from an inventory of 120 Erasmus+ projects labelled as 'good practice' in the Erasmus+ projects database, 15 projects were selected for further examination as case studies. The report summarises the main findings of…
Descriptors: Data Collection, Data Analysis, College Students, Student Exchange Programs
Samudre, Mark D.; Allday, R. Allan; Lane, Justin D. – Education and Treatment of Children, 2022
The purpose of this study was to evaluate the use of behavioral skills training (BST) that included video vignettes used for modeling and rehearsal to train preservice general educators how to collect accurate antecedent-behavior-consequence (ABC) data using a structured recording format. The effectiveness of the intervention was evaluated within…
Descriptors: Preservice Teachers, Teacher Education, Data Collection, Student Behavior
Goretzko, David – Educational and Psychological Measurement, 2022
Determining the number of factors in exploratory factor analysis is arguably the most crucial decision a researcher faces when conducting the analysis. While several simulation studies exist that compare various so-called factor retention criteria under different data conditions, little is known about the impact of missing data on this process.…
Descriptors: Factor Analysis, Research Problems, Data, Prediction
Jang, Hoon – Research Evaluation, 2022
Increasing investment and interest in research and development (R&D) requires an efficient management system for achieving better research project outputs. In tandem with this trend, there is a growing need to develop a method for predicting research project outputs. Motivated by this, using information gathered in the early stage of projects,…
Descriptors: Research and Development, Research Projects, Prediction, Mathematics
Sharma, Sunny; Rana, Vijay; Malhotra, Manisha – Education and Information Technologies, 2022
Web recommendation systems are ubiquitous in the world used to overcome the product overload on e-commerce websites. Among various filtering algorithms, Collaborative Filtering and Content Based Filtering are the best recommendation approaches. Being popular, these filtering approaches still suffer from various limitations such as Cold Start…
Descriptors: Web Sites, Purchasing, Computer Software, Profiles
Goble, Trenton – Childhood Education, 2022
At the end of 2021, the spread of the COVID-19 virus Delta variant and the start of the new school year combined to present many educators and administrators with the hardest year yet in the pandemic, in terms of both delivering instruction and assessing student learning. Students entered the school year with increased anxiety, and assessment was…
Descriptors: Educational Change, Formative Evaluation, Data Use, COVID-19
Winkler, Eleanor Anne; Graham, Paul; Unterman, Nathan A.; Grey, Benjamin; Miller, Jacob M.; Miller, Max J.; Sears, Allen J.; Bernat, Alex; Frank, Shoshana; Simon, Joshua; Eliaser, Shira K.; Blackmore, Tom; Copeland, Emmanuelle; Senser, Marybeth; Seiden, Henry; Valsamis, Anthony; Adams, Mark – Physics Teacher, 2022
With support from QuarkNet, high school students investigated the effect of overburden on muon flux by collecting data from Fermilab's Main Injector Neutrino Oscillation Search (MINOS) tunnel. Muon flux varied due to a change in overburden created by a 103-meter deep access shaft. A profile of muon flux as a function of distance from the access…
Descriptors: High School Students, Secondary School Science, Physics, Science Activities
Ulitzsch, Esther; He, Qiwei; Pohl, Steffi – Journal of Educational and Behavioral Statistics, 2022
Interactive tasks designed to elicit real-life problem-solving behavior are rapidly becoming more widely used in educational assessment. Incorrect responses to such tasks can occur for a variety of different reasons such as low proficiency levels, low metacognitive strategies, or motivational issues. We demonstrate how behavioral patterns…
Descriptors: Behavior Patterns, Problem Solving, Failure, Adults
Robinson, Marlena Leticia – ProQuest LLC, 2022
Many students in schools in the United States today are considered at-risk in their reading ability. The disproportionate number of students making inadequate progress places the fate of students at stake. Response to Intervention (RTI) was created to support student growth in reading while reducing the number of students requiring testing for…
Descriptors: Reading Instruction, Response to Intervention, Teacher Attitudes, Faculty Development