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Roee Peretz; Natali Levi-Soskin; Dov Dori; Yehudit Judy Dori – IEEE Transactions on Education, 2024
Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…
Descriptors: Models, Engineering Education, Thinking Skills, Systems Approach
Reilly Norum; Ji-Eun Lee; Erin Ottmar; Lane Harrison – British Journal of Educational Technology, 2024
Well-designed online educational games can improve students' math knowledge, skills and engagement; however, more research is needed to understand how to formatively assess components of students' mathematical understanding and learning as students solve problems in online educational games. In this study, we examined how 7th-grade students' (N =…
Descriptors: Educational Games, Computer Games, Student Evaluation, Mathematics Skills
Kelley, Sue – International Journal of Technology in Education, 2021
This study investigated the ways in which college algebra students watch mathematics instructional videos about completing the square with the goal of identifying student responsibilities within a particular video and across different videos. Guided by the theory of didactic situations that has defined implicit teacher and student responsibilities…
Descriptors: Instructional Films, Video Technology, Electronic Learning, College Mathematics
Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
Gyllen, J.; Stahovich, T.; Mayer, R. – Journal of Computer Assisted Learning, 2018
Time on task has been recognized as an important variable in academic learning, but self-report measures of study time are problematic. Therefore, this study employs an automated system for recording time spent reading a course textbook. College students in an introductory engineering course accessed their textbook online. The book contained pages…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Electronic Publishing
Okita, Sandra Y. – British Journal of Educational Technology, 2014
This study examined whether developing earlier forms of knowledge in specific learning environments prepares students better for future learning when they are placed in an unfamiliar learning environment. Forty-one students in the fifth and sixth grades learned to program robot movements using abstract concepts of speed, distance and direction.…
Descriptors: Robotics, Electronic Learning, Programming, Learning Processes
Hung, Pi-Hsia; Hwang, Gwo-Jen; Lee, Yueh-Hsun; Wu, Tsung-Hsun; Vogel, Bahtijar; Milrad, Marcelo; Johansson, Emil – Educational Technology & Society, 2014
The purpose of this study is to investigate the effects of a ubiquitous problem-based learning system (UPBLS) on students' question-raising performance in field inquiry activities. An experiment was conducted on an elementary school natural science course. A total of 43 sixth and fifth grade elementary students divided into experienced and…
Descriptors: Problem Based Learning, Electronic Learning, Elementary School Science, Elementary School Students
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
Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2008
For the thirty-first year, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) sponsored the publication of these Proceedings. Papers were presented at the annual AECT Convention in Orlando, Florida. This year's Proceedings has two sections--Section 1 includes research and development papers and…
Descriptors: Professional Associations, Conferences (Gatherings), Communications, Research and Development
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers