Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Homework | 6 |
| Prior Learning | 6 |
| Science Instruction | 6 |
| Academic Achievement | 4 |
| Teaching Methods | 4 |
| Correlation | 3 |
| Foreign Countries | 3 |
| Item Response Theory | 3 |
| Knowledge Level | 3 |
| Large Group Instruction | 3 |
| Misconceptions | 3 |
| More ▼ | |
Source
| International Educational… | 2 |
| EURASIA Journal of… | 1 |
| International Review of… | 1 |
| Journal of Computer Assisted… | 1 |
| ProQuest LLC | 1 |
Author
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
| Collected Works - Proceedings | 2 |
| Dissertations/Theses -… | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 4 |
| Elementary Education | 3 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Secondary Education | 2 |
| Grade 6 | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
| Raven Progressive Matrices | 1 |
What Works Clearinghouse Rating
Nuic, Ines; Glažar, Saša Aleksej – EURASIA Journal of Mathematics, Science and Technology Education, 2020
E-learning strategies for the teaching unit Structure and States of Matter were developed. Students' achievements and the percentages of misconceptions were compared between experimental groups taught using web-based learning material (WBLM) used as homework after conventional teaching at school (EG1), and at school settings (EG2) with the control…
Descriptors: Educational Technology, Technology Uses in Education, Elementary School Science, Science Instruction
Colvin, Kimberly F.; Champaign, John; Liu, Alwina; Zhou, Qian; Fredericks, Colin; Pritchard, David E. – International Review of Research in Open and Distance Learning, 2014
We studied student learning in the MOOC 8.MReV Mechanics ReView, run on the edX.org open source platform. We studied learning in two ways. We administered 13 conceptual questions both before and after instruction, analyzing the results using standard techniques for pre- and posttesting. We also analyzed each week's homework and test questions in…
Descriptors: Physics, Science Instruction, Introductory Courses, Electronic Learning
Bennett, William Drew – ProQuest LLC, 2011
This study is an investigation into the science literacy of college genetics students who were given a modified curriculum to address specific teaching and learning problems from a previous class. This study arose out of an interest by the professor and researcher to determine how well students in the class Human Genetics in the 21st Century…
Descriptors: Direct Instruction, Writing Assignments, Homework, Prior Learning
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Peer reviewedRonen, M.; Eliahu, M. – Journal of Computer Assisted Learning, 1999
Describes a pilot study aimed at exploring the possibility of introducing simulation-based homework into junior high school ninth grade science classes studying electric circuits. Analyzes students' views in relation to their prior computer experience and their achievement, and discusses results from questionnaires and interviews that show…
Descriptors: Academic Achievement, Computer Assisted Instruction, Computer Simulation, Educational Environment
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

Direct link
