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Connolly, Rachel Berger – ProQuest LLC, 2019
Scientific data visualizations are the products, and increasingly a core practice, of modern computational science across all domains. With recent science education standards emphasizing student engagement in practices, these scientific visualizations will only increase in their availability and use for K-12 science instruction. But teacher…
Descriptors: Data, Visual Aids, Earth Science, Space Sciences
David M. Houston; Jeffrey R. Henig – Annenberg Institute for School Reform at Brown University, 2019
We conduct an online survey experiment in which participants are asked to imagine that they are parents moving to a new metropolitan area. They then choose between the five largest school districts in that area. All participants receive demographic data for each district. In addition, some participants are randomly assigned to receive average…
Descriptors: School Districts, Racial Composition, Academic Achievement, School Demography
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Charlotte A. Bolch; Tim Jacobbe – Numeracy, 2019
Statistical literacy refers to two interrelated components: people's ability to interpret and critically evaluate statistical information, and their ability to discuss or communicate their reactions to statistical information. The ability to read and interpret graphical displays is part of statistical literacy because much of the statistical…
Descriptors: Visual Aids, Data Analysis, Statistics Education, Introductory Courses
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Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
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Delen, Ibrahim; Krajcik, Joseph – Research in Science Education, 2017
The use of mobile devices is increasing rapidly as a potential tool for science teaching. In this study, five educators (three middle school teachers and two museum educators) used a mobile application that supported the development of a driving question. Previous studies have noted that teachers make little effort to connect learning experiences…
Descriptors: Museums, Handheld Devices, Teacher Collaboration, Science Instruction
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Amigud, Alexander; Arnedo-Moreno, Joan; Daradoumis, Thanasis; Guerrero-Roldan, Ana-Elena – International Review of Research in Open and Distributed Learning, 2017
This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students' patterns of language use from data,…
Descriptors: Data Collection, Data Analysis, Integrity, Electronic Learning
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Liu, Sanya; Hu, Zhenfan; Peng, Xian; Liu, Zhi; Cheng, H. N. H.; Sun, Jianwen – International Journal of Distance Education Technologies, 2017
In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Educational Research
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Belt, Aino; Belt, Pekka – Educational Research, 2017
Background: Efficient classroom management and adequate discipline are major issues for teachers in schools worldwide, with the guiding of students' behaviour as one of the primary challenges. Teachers' knowledge, skills, attitudes and behaviour play central roles in the appropriate handling of classroom disturbances. Purpose: The purpose of this…
Descriptors: Foreign Countries, Home Economics, Teacher Attitudes, Classroom Techniques
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Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
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Lynch, Collin F. – Theory and Research in Education, 2017
Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…
Descriptors: Data Analysis, Data Collection, Privacy, Evaluation Methods
Whittington, Amy Green – ProQuest LLC, 2017
Career technical education plays an important part in the mission of community colleges--providing educational opportunities needed by members of their communities. Career technical programs prepare students for entry into the workforce. Accountability standards for career technical programs, from local, state, and federal bodies, monitor…
Descriptors: Vocational Education, Credentials, Employment Potential, Community Colleges
National Centre for Vocational Education Research (NCVER), 2017
NCVER's latest strategic plan outlines the vision and mission, and 7 strategic objectives and interrelated actions, that will direct company activities for the next 3 years. It also details the values that underpin our culture, our commitment to quality and integrity, measures of success against the objectives, and principles of practice and…
Descriptors: Strategic Planning, Vocational Education, Interviews, Stakeholders
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2016. Highlights include: (1) In-training as at 30 September 2016--There were 278,500 apprentices and trainees in-training as of 30 September 2016, a decrease of 5.7% from 30 September 2015; (2) Quarterly training activity--In the…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
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