Publication Date
| In 2026 | 0 |
| Since 2025 | 24 |
| Since 2022 (last 5 years) | 110 |
| Since 2017 (last 10 years) | 293 |
| Since 2007 (last 20 years) | 1401 |
Descriptor
| Intervals | 1805 |
| Comparative Analysis | 230 |
| Foreign Countries | 220 |
| Correlation | 194 |
| Statistical Analysis | 168 |
| Models | 165 |
| Computation | 160 |
| Memory | 152 |
| Experiments | 145 |
| Cognitive Processes | 144 |
| Animals | 142 |
| More ▼ | |
Source
Author
| Raykov, Tenko | 17 |
| Rohrer, Doug | 11 |
| Algina, James | 8 |
| Davison, Michael | 8 |
| Grace, Randolph C. | 8 |
| Pashler, Harold | 8 |
| Shahan, Timothy A. | 8 |
| Skinner, Christopher H. | 8 |
| Bonett, Douglas G. | 7 |
| Cepeda, Nicholas J. | 6 |
| Kelley, Ken | 6 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 21 |
| Researchers | 6 |
| Students | 3 |
| Practitioners | 2 |
| Parents | 1 |
| Policymakers | 1 |
Location
| United Kingdom | 34 |
| Germany | 30 |
| Turkey | 22 |
| Netherlands | 21 |
| Greece | 20 |
| Australia | 19 |
| Canada | 19 |
| Spain | 19 |
| Iceland | 18 |
| Sweden | 18 |
| Switzerland | 18 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 40 |
| Individuals with Disabilities… | 5 |
| Individuals with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
| Does not meet standards | 1 |
Kostewicz, Douglas; Kubina, Richard M., Jr. – Reading Improvement, 2020
Teachers have used the method of repeated readings to build oral reading fluency in students with and without special needs. A new fluency building intervention called interval sprinting uses shorter timing intervals (i.e., sprints) across a passage. This study used an alternating treatment design to compare repeated readings and interval…
Descriptors: Reading Instruction, Teaching Methods, Repetition, Reading Fluency
Günhan, Burak Kürsad; Röver, Christian; Friede, Tim – Research Synthesis Methods, 2020
Meta-analyses of clinical trials targeting rare events face particular challenges when the data lack adequate numbers of events for all treatment arms. Especially when the number of studies is low, standard random-effects meta-analysis methods can lead to serious distortions because of such data sparsity. To overcome this, we suggest the use of…
Descriptors: Meta Analysis, Medical Research, Drug Therapy, Bayesian Statistics
Mansouri, Taha; ZareRavasan, Ahad; Ashrafi, Amir – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic in many academic disciplines. Different mathematical models have been employed to predict student…
Descriptors: Cognitive Mapping, Models, Prediction, Performance Factors
Kalinowski, Steven T. – Educational and Psychological Measurement, 2019
Item response theory (IRT) is a statistical paradigm for developing educational tests and assessing students. IRT, however, currently lacks an established graphical method for examining model fit for the three-parameter logistic model, the most flexible and popular IRT model in educational testing. A method is presented here to do this. The graph,…
Descriptors: Item Response Theory, Educational Assessment, Goodness of Fit, Probability
Deihl, Steve; Markinson, Mara P. – Journal of Mathematics Education at Teachers College, 2019
High school students often ask questions about the nature of infinity. When contemplating what the "largest number" is, or discussing the speed of light, students bring their own ideas about infinity and asymptotes into the conversation. These are popular ideas, but formal ideas about the nature of mathematical sets, or "set…
Descriptors: High School Students, Mathematical Concepts, Algebra, Secondary School Mathematics
Poch, Apryl L.; Allen, Abigail A.; Lembke, Erica S. – Psychology in the Schools, 2019
Spelling has been identified as a key transcription skill that emerges during the elementary years as students learn how to write and subsequently develop fluency with writing, making the assessment of spelling a critical component of evaluation systems within schools. This includes the use of curriculum-based measures of writing (CBM-W). This…
Descriptors: Spelling, Achievement Tests, Curriculum Based Assessment, Scoring
Poch, Apryl L.; Allen, Abigail A.; Lembke, Erica S. – Grantee Submission, 2019
Spelling has been identified as a key transcription skill that emerges during the elementary years as students learn how to write and subsequently develop fluency with writing (McCutchen, 1996), making the assessment of spelling a critical component of evaluation systems within schools. This includes the use of curriculum-based measures of writing…
Descriptors: Spelling, Achievement Tests, Curriculum Based Assessment, Scoring
Saqr, Mohammed; López-Pernas, Sonsoles – Journal of Learning Analytics, 2022
There has been extensive research using centrality measures in educational settings. One of the most common lines of such research has tested network centrality measures as indicators of success. The increasing interest in centrality measures has been kindled by the proliferation of learning analytics. Previous works have been dominated by…
Descriptors: Measurement Techniques, Learning Analytics, Data Analysis, Academic Achievement
Schuetze, Ulf – Unterrichtspraxis/Teaching German, 2017
An ongoing question in second language vocabulary learning is how to optimize the acquisition of words. One approach is the so-called "spaced repetition technique" that uses intervals to repeat words in a given time frame (Balota et al., 2007; Leitner, 1972; Oxford, 1990; Pimsleur, 1967; Roediger & Karpicke, 2010; Schuetze &…
Descriptors: Second Language Instruction, Vocabulary Development, Repetition, Intervals
Tania Henetz – ProQuest LLC, 2017
What can we learn from a pause? This dissertation examines whether a pause between speaking turns in a conversation (a gap) can change how we view that conversation and its participants (a gap effect). In particular, it asks whether the length of a gap can influence interactional attributions--that is, attributions of the participants' engagement…
Descriptors: Interpersonal Communication, Intervals, Interaction, Attribution Theory
Schermer, Maike; Fosker, Tim – International Journal of Research & Method in Education, 2020
Arguably one of the most valuable tools for investigating pupil behaviour in an educational environment is systematic classroom observation. Classroom observation is often cited as having the potential to enable research of the learning process in action. Low inference classroom observation instruments are designed to record a sequence of data…
Descriptors: Classroom Observation Techniques, Learning Processes, Intervals, Individual Differences
Sujan, Ayesha C.; Class, Quetzal A.; Rickert, Martin E.; Van Hulle, Carol; D'Onofrio, Brian M. – Early Child Development and Care, 2021
Previous research assessing consequences of interpregnancy intervals (IPIs) on child development is mixed. Utilizing a population-based US sample (n = 5339), we first estimate the associations between background characteristics (e.g. sociodemographic and maternal characteristics) and short ([less than or equal to]1 year) and long (>3 years)…
Descriptors: At Risk Persons, Child Development, Infants, Pregnancy
Cantarero, Rodrigo; de Guzman, Maria Rosario T.; Taylor, Sarah; Hong, Soo-Young; Choi, Jeong-Kyun – Journal of Extension, 2019
The increasing use of geographic information system (GIS) technology in various fields suggests the need for professionals, including those in Extension, to be mindful of communicating data accurately and effectively. This article examines approaches to creating classes or groupings within data as well as the weaknesses of each approach. Data…
Descriptors: Geographic Information Systems, Maps, Extension Agents, Data Collection
Rubio-Aparicio, María; López-López, José Antonio; Sánchez-Meca, Julio; Marín-Martínez, Fulgencio; Viechtbauer, Wolfgang; Van den Noortgate, Wim – Research Synthesis Methods, 2018
The random-effects model, applied in most meta-analyses nowadays, typically assumes normality of the distribution of the effect parameters. The purpose of this study was to examine the performance of various random-effects methods (standard method, Hartung's method, profile likelihood method, and bootstrapping) for computing an average effect size…
Descriptors: Effect Size, Meta Analysis, Intervals, Monte Carlo Methods
Markelz, Andrew; Scheeler, Mary Catherine; Riccomini, Paul; Taylor, Jonte C. – Teacher Education and Special Education, 2020
Researchers are exploring innovative technologies to prepare educators. A systematic literature review was conducted to study the role of tactile prompting (i.e., vibratory signals on a schedule) in teacher education. Ten studies meeting inclusion criteria were synthesized and analyzed based on how tactile prompting is utilized, effects of tactile…
Descriptors: Educational Research, Prompting, Teacher Education, Instructional Effectiveness

Peer reviewed
Direct link
