Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| Cambridge Journal of Education | 1 |
| Educational Measurement:… | 1 |
| Grantee Submission | 1 |
| International Educational… | 1 |
| Journal of Engineering… | 1 |
| ProQuest LLC | 1 |
Author
Publication Type
| Reports - Research | 4 |
| Journal Articles | 3 |
| Collected Works - Proceedings | 1 |
| Dissertations/Theses -… | 1 |
Education Level
| Elementary Education | 6 |
| Intermediate Grades | 6 |
| Grade 4 | 3 |
| Middle Schools | 3 |
| Grade 6 | 2 |
| Grade 5 | 1 |
| Higher Education | 1 |
| Junior High Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkLottero-Perdue, Pamela S.; Lachapelle, Cathy P. – Journal of Engineering Education, 2020
Background: Students may exhibit growth mindsets, where intelligence is seen as malleable and failures prompt more effort and new approaches, or fixed mindsets, where intelligence is seen as immutable and failures indicate lack of intelligence. One's mindset in general may be different from that for a particular domain such as engineering. Having…
Descriptors: Elementary School Students, Grade 5, Engineering Education, Outcomes of Education
Kosh, Audra E.; Greene, Jeffrey A.; Murphy, P. Karen; Burdick, Hal; Firetto, Carla M.; Elmore, Jeff – Educational Measurement: Issues and Practice, 2018
We explored the feasibility of using automated scoring to assess upper-elementary students' reading ability through analysis of transcripts of students' small-group discussions about texts. Participants included 35 fourth-grade students across two classrooms that engaged in a literacy intervention called Quality Talk. During the course of one…
Descriptors: Computer Assisted Testing, Small Group Instruction, Group Discussion, Student Evaluation
Download full textKosh, Audra E.; Greene, Jeffrey A.; Murphy, P. Karen; Burdick, Hal; Firetto, Carla M.; Elmore, Jeff – Grantee Submission, 2018
We explored the feasibility of using automated scoring to assess upper-elementary students' reading ability through analysis of transcripts of students' small-group discussions about texts. Participants included 35 fourth-grade students across two classrooms that engaged in a literacy intervention called Quality Talk. During the course of one…
Descriptors: Computer Assisted Testing, Small Group Instruction, Group Discussion, Student Evaluation
Gillies, Robyn M.; Nichols, Kim; Khan, Asaduzzaman – Cambridge Journal of Education, 2015
Teaching students to use and interpret representations in science is critically important if they are to become scientifically literate and learn how to communicate their understandings and learning in science. This study involved 248 students (119 boys and 129 girls) from 26 grade 6 teachers' classes in nine primary schools in Brisbane,…
Descriptors: Elementary School Science, Elementary School Students, Scientific Concepts, Concept Formation
Young, Chase – ProQuest LLC, 2012
The purpose of this research was to examine the relation between students' personality traits and the extent of their engagement and facilitation in peer-led literature circle discussions. The research was guided by two questions. To what extent do reading ability, gender, and personality traits predict the quality of verbal engagement in…
Descriptors: Reading Instruction, Group Activities, Group Discussion, Learner Engagement
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
