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Download full textGrohs, Jacob R.; Knight, David B.; Young, Glenda D.; Soledad, Michelle M. – International Journal of Education in Mathematics, Science and Technology, 2018
Situated in the second year of an engineering curriculum, undergraduate engineering mechanics courses represent a significant barrier to persistence in engineering. This study seeks to inform and improve these educational environments by examining academic performance paths over time in a course and explore how students in each path compare in the…
Descriptors: Academic Achievement, Learning Strategies, Engineering Education, Course Content
Direct linkSun, Jingjng; Anderson, Richard C.; Perry, Michelle; Lin, Tzu-Jung – Cognition and Instruction, 2017
Social skills involved in leadership were examined in a problem-solving activity in which 252 Chinese 5th-graders worked in small groups on a spatial-reasoning puzzle. Results showed that students who engaged in peer-managed small-group discussions of stories prior to problem solving produced significantly better solutions and initiated…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Cooperative Learning
Xing, Wanli; Wu, Yonghe – International Association for Development of the Information Society, 2014
Assessment of groups in CSCL context is a challenging task fraught with many confounding factors collected and measured. Previous documented studies are by and large summative in nature and some process-oriented methods require time-intensive coding of qualitative data. This study attempts to resolve these problems for teachers to assess groups…
Descriptors: Small Group Instruction, Evaluation Methods, Computer Assisted Instruction, Cooperative Learning
Snyder, Julia J.; Carter, B. Elijah; Wiles, Jason R. – CBE - Life Sciences Education, 2015
In entry-level university courses in science, technology, engineering, and mathematics fields, students participating in associated laboratory sessions generally do better than those who have no related lab classes. This is a problem when, for various reasons, not enough lab sections can be offered for students and/or when students opt out of…
Descriptors: STEM Education, Science Education, Cooperative Learning, Science Laboratories
Mooring, Suazette R.; Mitchell, Chloe E.; Burrows, Nikita L. – Journal of Chemical Education, 2016
Organic Chemistry is recognized as a course that presents many difficulties and conceptual challenges for students. To combat the high failure rates and poor student attitudes associated with this challenging course, we implemented a "flipped" model for the first-semester, large-enrollment, Organic Chemistry course. In this flipped…
Descriptors: Undergraduate Students, Science Education, Organic Chemistry, Blended Learning
Fuchs, Lynn S.; Fuchs, Douglas; Craddock, Caitlin; Hollenbeck, Kurstin N.; Hamlett, Carol L.; Schatschneider, Christopher – Journal of Educational Psychology, 2008
This study assessed the effects of small-group tutoring with and without validated classroom instruction on at-risk students' math problem solving. Stratifying within schools, 119 3rd-grade classes were randomly assigned to conventional or validated problem-solving instruction (Hot Math, schema-broadening instruction). Students identified as at…
Descriptors: Intervention, High Risk Students, Problem Solving, Effect Size
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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
