Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 13 |
Descriptor
Source
Author
Publication Type
Reports - Research | 12 |
Journal Articles | 10 |
Books | 1 |
Collected Works - General | 1 |
Numerical/Quantitative Data | 1 |
Reference Materials - General | 1 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Grade 8 | 13 |
Middle Schools | 10 |
Elementary Education | 9 |
Junior High Schools | 9 |
Secondary Education | 9 |
Grade 9 | 4 |
High Schools | 4 |
Early Childhood Education | 3 |
Elementary Secondary Education | 3 |
Grade 4 | 2 |
Grade 7 | 2 |
More ▼ |
Audience
Laws, Policies, & Programs
Elementary and Secondary… | 1 |
Individuals with Disabilities… | 1 |
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Jiang, Yang; Cayton-Hodges, Gabrielle A. – Journal for Research in Mathematics Education, 2023
This exploratory study investigated the behaviors and content of onscreen calculator usage by a nationally representative sample of eighth-grade students who responded to items from the 2017 National Assessment of Educational Progress mathematics assessment. Meaningful features were generated from the process data to infer whether students…
Descriptors: Grade 8, Problem Solving, Calculators, Mathematics Instruction
Liu, Kawai; Wu, Julius – Asian Journal of Education and Training, 2021
We examined the potential different effectiveness of an online homework system (IXL) and the traditional paper-and-pencil homework. A study involving 98 participants was conducted in a middle school (grade 8). We compared the post-test results from the online homework group with the traditional homework group. Both homework assignment effect…
Descriptors: Homework, Educational Technology, Technology Uses in Education, Middle School Students
Chiu, Thomas K. F. – Journal of Research on Technology in Education, 2022
During school closures forced by the COVID-19 pandemic, remote/online learning has been adopted to help students continue to learn. Student engagement, which is energized by motivation as explained by self-determination theory (SDT), is a prerequisite for learning. Therefore, this study investigated how the three perceived psychological needs in…
Descriptors: Self Determination, Student Participation, COVID-19, Pandemics
Saida Affouneh Ed; Soheil Salha Ed; Ahmed Tlili Ed; Sameer Abu-Eisheh Ed – Lecture Notes in Educational Technology, 2023
This book offers authors' practices, initiatives, and experiences in sustaining their education during the pandemic from different countries, contexts, and political situations. It provides a future prediction for the education system in the world due to the transformation that happened in the post-COVID-19 era. Each chapter of the book is…
Descriptors: COVID-19, Pandemics, Cultural Differences, Electronic Learning
Al-Siyabi, Muna Abdullah; Dimitriadi, Yota – International Journal of Mobile and Blended Learning, 2020
Mobile learning research has been flourishing to keep pace with the rapid technological advancement that has been invading all parts of modern life. There is a shortage of such research in Oman, especially in schools. The aim of this study is to uncover mLearning employment in schools in Oman by exploring two cases. The study investigates the…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Educational Technology
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Kai, Shiming; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; D'Mello, Sidney; Ocumpaugh, Jaclyn; Shute, Valerie; Ventura, Matthew – International Educational Data Mining Society, 2015
Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…
Descriptors: Video Technology, Interaction, Physics, Affective Behavior
Lin, Chih-Cheng; Hsiao, Hsien-Sheng; Tseng, Sheng-ping; Chan, Hsin-jung – Turkish Online Journal of Educational Technology - TOJET, 2014
This study was intended to investigate whether computer-assisted collaborative learning is comparable with computer-free and individual learning; in particular, it examined each of their effects on learning English vocabulary, followed by an analysis of their behavior patterns. In a junior high school in northern Taiwan, a normal classroom was…
Descriptors: English (Second Language), Second Language Instruction, Foreign Countries, Vocabulary Development
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam – Journal of Educational Data Mining, 2013
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…
Descriptors: Data Analysis, Middle School Students, Information Retrieval, Student Behavior
Storz, Mark G.; Hoffman, Amy R. – RMLE Online: Research in Middle Level Education, 2013
The impact of a one-to-one computing initiative at a Midwestern urban middle school was examined through phenomenological research techniques focusing on the voices of eighth grade students and their teachers. Analysis of transcripts from pre and post-implementation interviews of 47 students and eight teachers yielded patterns of responses to…
Descriptors: Teaching Methods, Educational Change, Student Behavior, Phenomenology
Gobert, Janice D.; Sao Pedro, Michael; Raziuddin, Juelaila; Baker, Ryan S. – Journal of the Learning Sciences, 2013
We present a method for assessing science inquiry performance, specifically for the inquiry skill of designing and conducting experiments, using educational data mining on students' log data from online microworlds in the Inq-ITS system (Inquiry Intelligent Tutoring System; www.inq-its.org). In our approach, we use a 2-step process: First we use…
Descriptors: Intelligent Tutoring Systems, Science Education, Inquiry, Science Process Skills
Schwarz, Baruch B.; Schur, Yaron; Pensso, Haim; Tayer, Naama – International Journal of Computer-Supported Collaborative Learning, 2011
Changing practices in schools is a very complex endeavor. This paper is about new practices we prompted to foster collaboration and critical reasoning in science classrooms: the presentation of pictures representing different perspectives, small group synchronous argumentation, and moderation of synchronous argumentation. A CSCL tool helped in…
Descriptors: Persuasive Discourse, Perspective Taking, Concept Formation, Grade 8
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information
covering the broad field…
Descriptors: Early Childhood Education, Elementary Secondary Education, Higher Education, Adult Education