NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)1
Since 2006 (last 20 years)4
Audience
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Langheinrich, Jessica; Schönfelder, Mona; Bogner, Franz X. – Journal of Educational Computing Research, 2016
A positive self-concept supposedly affects a student's well-being as well as his or her perception of individual competence at school. As computer-based learning is becoming increasingly important in school, a positive computer-related self-concept (CSC) might help to enhance cognitive achievement. Consequently, we focused on establishing a short,…
Descriptors: Self Concept, Computer Literacy, Grade 8, Grade 11
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Önen, Emine – Journal of Education and Learning, 2015
This study aimed to examine connections between modes of thinking and approaches to learning. Participants were 1490 students attending to 9 high schools located in Ankara. The Style of Learning and Thinking-Youth Form and Revised Version of Learning Process Questionnaire were administered to these students. The connections between modes of…
Descriptors: Foreign Countries, High School Students, Questionnaires, Path Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Fulmer, Gavin W.; Liang, Ling L.; Liu, Xiufeng – International Journal of Science Education, 2014
This exploratory study applied a proposed force and motion learning progression (LP) to high-school and university students and to content involving both one- and two-dimensional force and motion situations. The Force Concept Inventory (FCI) was adapted, based on a previous content analysis and coding of the questions in the FCI in terms of the…
Descriptors: Secondary School Science, High School Students, College Science, College Students
Allen, Jeff; Bassiri, Dina; Noble, Julie – ACT, Inc., 2009
Educational accountability has grown substantially over the last decade, due in large part to the No Child Left Behind Act of 2001. Accordingly, educational researchers and policymakers are interested in the statistical properties of accountability models used for NCLB, such as status, improvement, and growth models; as well as others that are not…
Descriptors: Academic Achievement, High School Students, Accountability, Statistical Analysis
Ewing, Maureen; Huff, Kristen; Andrews, Melissa; King, Kinda – College Board, 2005
In connection with the new SAT that was introduced in March 2005, research has been under way to investigate the feasibility of providing examinees with score reports that contain feedback on skills measured by the critical reading, mathematics, and writing sections of the test. The main purpose of this study was to estimate the reliability of the…
Descriptors: College Entrance Examinations, Scores, Feedback (Response), Reading Skills
Breland, Hunter; Kubota, Melvin; Nickerson, Kristine; Trapani, Catherine; Walker, Michael – College Entrance Examination Board, 2004
This study investigated the impact on ethnic, language, and gender groups of a new kind of essay prompt type intended for use with the new SAT®. The study also generated estimates of the reliability of scores obtained using the prompts examined. To examine the impact of a new prompt type, random samples of eleventh-grade students in 49…
Descriptors: College Entrance Examinations, Standardized Tests, Ethnic Groups, Language Usage
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Attali, Yigal; Burstein, Jill – ETS Research Report Series, 2005
The e-rater® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e-rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and…
Descriptors: Essay Tests, Automation, Scoring, Comparative Analysis