Publication Date
| In 2026 | 0 |
| Since 2025 | 301 |
| Since 2022 (last 5 years) | 1269 |
| Since 2017 (last 10 years) | 2663 |
| Since 2007 (last 20 years) | 4938 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 466 |
| Teachers | 336 |
| Researchers | 118 |
| Administrators | 76 |
| Policymakers | 76 |
| Students | 64 |
| Parents | 25 |
| Community | 16 |
| Media Staff | 11 |
| Counselors | 6 |
| Support Staff | 3 |
| More ▼ | |
Location
| California | 164 |
| China | 139 |
| United Kingdom | 137 |
| Australia | 109 |
| Canada | 108 |
| Texas | 103 |
| United States | 93 |
| Taiwan | 92 |
| Pennsylvania | 91 |
| Germany | 80 |
| United Kingdom (England) | 75 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 39 |
| Meets WWC Standards with or without Reservations | 60 |
| Does not meet standards | 26 |
Zhang, Wei; Bray, Mark – Oxford Review of Education, 2018
The global expansion of mass schooling has greatly increased opportunities for low-income families, and governments have devoted much effort to equalising access and quality in education systems. Alongside regular schooling, the so-called shadow education system of private supplementary tutoring has grown rapidly across the world. The fact that…
Descriptors: Foreign Countries, Tutoring, Socioeconomic Influences, Equal Education
Koyama, Jill P.; Ghosh, Sowmya – Global Education Review, 2018
An estimated 1.2 million refugee students attend schools across the United States (U.S.). They represent between 35-40% of the total number of refugees in the U.S. Yet, we know little about how school districts work with refugee students, most of whom have had significant gaps in their formal education and for whom English is not their first…
Descriptors: Refugees, English (Second Language), School Districts, Family School Relationship
Hänze, Martin; Müller, Marion; Berger, Roland – Educational Psychology, 2018
Cross-age tutoring is characterised by status and age differences between tutors and tutees. Tutees are often inactive in this setting, because responsibility for effective learning is transferred to the more experienced tutors. This study focused on improving the outcomes of cross-age tutoring for tutees by providing tutors with a tutor training…
Descriptors: Cross Age Teaching, Secondary School Students, Grade 8, Elementary School Students
Stoesz, Brenda M.; Yudintseva, Anastassiya – International Journal for Educational Integrity, 2018
The prevalence of plagiarism, cheating, and other acts of academic dishonesty may be as high as 80% in populations of high school and post-secondary students. Various educational interventions have been developed and implemented in an effort to educate students about academic integrity and to prevent academic misconduct. We reviewed the…
Descriptors: Tutorial Programs, Instructional Effectiveness, Integrity, Plagiarism
Cullinane, Carl; Anders, Jake; De Gennaro, Alice; Early, Erin; Holt-White, Erica; Montacute, Rebecca; Shao, Xin; Yarde, James – Sutton Trust, 2022
The COVID Social Mobility & Opportunities (COSMO) study is a new national cohort study generating high-quality evidence about how the COVID-19 pandemic has affected socio-economic inequalities in life chances, both in terms of short- and long-term effects on education, wellbeing, and career outcomes. A representative sample of young people in…
Descriptors: Social Mobility, COVID-19, Pandemics, Social Differences
Education Trust, 2022
Since March 2021, school district leaders have been developing and implementing plans to spend their "ARP dollars," that is, the historic $122 billion allocated from the American Rescue Plan to help districts recover from the devastating effects of the pandemic. The money, also referred to as ESSER funds (Elementary and Secondary School…
Descriptors: School Districts, Equal Education, Emergency Programs, COVID-19
EdChoice, 2022
This poll was conducted between February 12-February 15, 2022 among a sample of 2,200 adults. The interviews were conducted online and the data were weighted to approximate a target sample of adults based on gender, educational attainment, age, race, and region. Among the key findings are: (1) Education issues rank higher when it comes to voting…
Descriptors: Immunization Programs, Gender Differences, Age Differences, Race
EdChoice, 2022
This poll was conducted between January 15-January 16, 2021 among a sample of 2,200 adults. The interviews were conducted online and the data were weighted to approximate a target sample of adults based on gender, educational attainment, age, race, and region. Among the key findings are: (1) Although there has been an ongoing surge of COVID cases…
Descriptors: Parent Attitudes, Public Opinion, Elementary Secondary Education, Adults
Khatun, Nazma; Miwa, Jouji – Journal of Education and Learning, 2016
This research project was aimed to develop an intelligent Bengali handwriting education system to improve the literacy level in Bangladesh. Due to the socio-economical limitation, all of the population does not have the chance to go to school. Here, we developed a prototype of web-based (iPhone/smartphone or computer browser) intelligent…
Descriptors: Foreign Countries, Indo European Languages, Handwriting, Teaching Methods
Application of Graph Theory in an Intelligent Tutoring System for Solving Mathematical Word Problems
Nabiyev, Vasif V.; Çakiroglu, Ünal; Karal, Hasan; Erümit, Ali K.; Çebi, Ayça – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study is aimed to construct a model to transform word "motion problems" in to an algorithmic form in order to be processed by an intelligent tutoring system (ITS). First; categorizing the characteristics of motion problems, second; suggesting a model for the categories were carried out. In order to solve all categories of the…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Word Problems (Mathematics), Mathematics Instruction
Kumar, Tracey – Multicultural Education, 2016
This study of participants' contributions to a university-based family literacy program was informed by both "funds of knowledge" (Moll, 1992) and "multiple literacies" (Auerbach, 1995). The study examined participants' contributions to the design, implementation, and evaluation of a university-based family literacy program. In…
Descriptors: Family Programs, Literacy Education, Cultural Background, Program Design
Heift, Trude – International Journal of Artificial Intelligence in Education, 2016
This commentary reconsiders the description and assessment of the design and implementation of "German Tutor," an Intelligent Language Tutoring System (ILTS) for learners of German as a foreign language, published in 2001. Based on our experience over the past 15 years with the design and real classroom use of an ILTS, we address a…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Second Language Instruction, German
Almalki, Nabil – World Journal of Education, 2016
A systematic review of literature was carried out on peer-reviewed journals published from 2000 to 2015 to help in determining the best strategy of evidence-based practice that can be applied in teaching literacy skills among students with multiple disabilities. A total of 12 studies were reviewed, some of which included science and mathematics…
Descriptors: Literacy, Evidence Based Practice, Teaching Methods, Multiple Disabilities
Wang, Dan; Bray, Mark – Asia-Pacific Education Researcher, 2016
In many settings a perplexing scenario is unfolding in which school systems claim to move towards whole-person development while students and parents run in the opposite direction of narrowly defined academic achievement enhanced by private supplementary tutoring. Such tutoring is widely called shadow education because much of its content mimics…
Descriptors: Social Stratification, Teacher Attitudes, Tutoring, Foreign Countries
Liu, Ran; Davenport, Jodi; Stamper, John – International Educational Data Mining Society, 2016
The increasing use of educational technologies in classrooms is producing vast amounts of process data that capture rich information about learning as it unfolds. The field of educational data mining has made great progress in using log data to build models that improve instruction and advance the science of learning. Thus far, however, the…
Descriptors: Educational Technology, Data Analysis, Automation, Data

Peer reviewed
Direct link
