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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data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…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
National Centre for Vocational Education Research (NCVER), 2017
This document covers the data terms used in publications sourced from the National Apprentice and Trainee Collection and their associated data tables. The primary purpose of this document is to assist users of the publications to understand the specific data terms used within them. Terms are listed in alphabetical order with the following…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
OECD Publishing, 2017
This report identifies effective strategies to tackle skills imbalances in South Africa. It provides an assessment of practices and policies in the following areas: the collection and use of information on skill needs to foster a better alignment of skills acquisitions with labour market needs; education and training policies targeting skills…
Descriptors: Foreign Countries, Job Skills, Skill Development, Educational Practices
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OiYan A. Poon; Jude Paul Matias Dizon; Dian Squire – Journal Committed to Social Change on Race and Ethnicity, 2017
This article presents a case study of the 2006-2007 Asian American and Pacific Islander (AAPI) student-led Count Me In! (CMI) campaign. This successful campaign convinced the University of California (UC) to account for 23 AAPI ethnic identities in its data system. Celebrated as a victory for AAPI interests in discourses over racial equity in…
Descriptors: Asian Americans, Pacific Islanders, College Students, Ethnic Groups
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Englert, Kerry; Underwood, Kara; Fredericks, Lucy; Stewart, Joshua; Dean, Ceri – Regional Educational Laboratory Central, 2020
This guide was designed to help state and local education agencies conduct needs assessments to better understand the strengths, challenges, and needs unique to schools serving American Indian students. It includes surveys developed collaboratively with communities that serve American Indian students to reflect the most relevant topics. Using…
Descriptors: American Indian Students, Student Needs, Needs Assessment, Data Collection
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Salas-Rueda, Ricardo-Adán – Canadian Journal of Learning and Technology, 2021
The aim of this quantitative research is to analyze the impact of Facebook in the teaching-learning process in financial mathematics education, using data science, machine learning, and neural networks. The sample is composed of 46 students from the Bachelor of Administration, Commerce and Marketing program at La Salle University. The results of…
Descriptors: Social Media, Mathematics Instruction, Data Use, Undergraduate Students
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Taylor, Sarah; Owen, Michael – Health Education Journal, 2021
Background: Schools are ideal environments in which to conduct child and adolescent physical activity (PA) research. Despite this, PA-specific practical guidance for school-based research is lacking, which may present unique challenges to researchers. Based on reflections from our own experiences, this paper seeks to provide practical guidance on…
Descriptors: Physical Activity Level, Data Collection, Educational Research, Elementary Schools
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