NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Dvoryatkina, Svetlana N.; Zhuk, Larisa V.; Smirnov, Evgeniy I.; Khizhnyak, Anastasia V.; Shcherbatykh, Sergey V. – Journal of Teacher Education for Sustainability, 2021
The study is aimed to develop the open innovation model of student's research activities based on the adaptation of modern scientific achievements in the context of transition to sustainable development of the education system. It advances a general approach to the design of the structure and implementation of main components of hybrid intelligent…
Descriptors: Innovation, Models, Student Research, Science Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Beaumie; Pathak, Suneeta A.; Jacobson, Michael J.; Zhang, Baohui; Gobert, Janice D. – Journal of Science Education and Technology, 2015
Model-based reasoning has been introduced as an authentic way of learning science, and many researchers have developed technological tools for learning with models. This paper describes how a model-based tool, "BioLogica"™, was used to facilitate genetics learning in secondary 3-level biology in Singapore. The research team co-designed…
Descriptors: Models, Science Instruction, Genetics, Secondary School Science
Peer reviewed Peer reviewed
Direct linkDirect link
Tighezza, M'Hamed – International Journal of Science and Mathematics Education, 2014
The purpose of the present study was to examine the validity of modeling science achievement in terms of 3 social psychological variables (school connectedness, science attitude, and active learning) and 2 self-perception variables (self-confidence and science value). Two models were tested: full mediation and partial mediation. In the…
Descriptors: Foreign Countries, Science Achievement, Self Concept, Correlation
Marshall, Jilll A.; Castillo, Adam J.; Cardenas, M. Bayani – Journal of Geoscience Education, 2015
We investigated the effect of modeling and visualization resources on upper-division, undergraduate and graduate students' performance on an open-ended assessment of their understanding of physical hydrology. The students were enrolled in one of five sections of a physical hydrology course. In two of the sections, students completed homework…
Descriptors: Earth Science, Science Instruction, Scientific Concepts, Concept Formation
Peer reviewed Peer reviewed
Direct linkDirect link
Sun, Koun-Tem; Lin, Ching-Ling; Wang, Sheng-Min – International Journal of Science and Mathematics Education, 2010
The relative positions of the sun, moon, and earth, their movements, and their relationships are abstract and difficult to understand astronomical concepts in elementary school science. This study proposes a three-dimensional (3-D) virtual reality (VR) model named the "Sun and Moon System." This e-learning resource was designed by…
Descriptors: Foreign Countries, Electronic Learning, Elementary School Science, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Papanastasiou, Elena C. – Research in Science & Technological Education, 2003
The purpose of this study was to examine how variables related to computer availability, computer comfort and educational software are associated with higher or lower levels of science literacy in the USA, Finland and Mexico, after controlling for the socio-economic status of the students. The analyses for this study were based on a series of…
Descriptors: Foreign Countries, Computers, Educational Technology, Computer Uses in Education
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2013
These proceedings contain the papers of the IADIS International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2013), October 22-24, 2013, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by The University of North Texas (UNT), sponsored by the…
Descriptors: Conference Papers, Cognitive Processes, Learning Processes, Short Term Memory