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David DeLiema; Jeffrey K. Bye; Vijay Marupudi – ACM Transactions on Computing Education, 2024
Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice discrepancies from their intention, propose causes of those discrepancies, and implement interventions.…
Descriptors: Computer Software, Troubleshooting, Intention, Intervention
Ardito, Gerald; Czerkawski, Betül; Scollins, Lauren – TechTrends: Linking Research and Practice to Improve Learning, 2020
Problem-solving and critical thinking are considered important skills to be developed by students, and are supported by the development of Computational Thinking (CT) skills. This study investigated the collaborative development of CT skills in sixth grade students via a six week LEGO robotics program. This robotics program focused on the…
Descriptors: Problem Solving, Thinking Skills, Middle School Students, Robotics
Dohn, Niels Bonderup – British Journal of Educational Technology, 2020
The ability to code computer programs is considered an important part of literacy in today's society. This paper reports from a case study in two sixth-grade classes where Scratch coding was part of six mathematics lessons. The aim of the study was to investigate how Scratch coding affected students' interest development in coding and in…
Descriptors: Coding, Secondary School Students, Mathematics Instruction, Student Interests
Munn, Carol – Journal of Computers in Mathematics and Science Teaching, 2021
This paper explores Computational Thinking (CT) through the experiences and interactions of sixth-grade students as they were engaging in a science lesson utilizing robotics. This robotics unit institutes the shifting from traditional to engaging hands-on activities coupled with CT skills that are exciting, intriguing, and inviting to students.…
Descriptors: Robotics, Grade 6, Units of Study, Science Instruction
Munn, Carol A. – ProQuest LLC, 2020
This research study explored robotics as the catalyst for computational thinking (CT) by sixth-grade students as they are engaged in a science lesson. The interactions, understandings, and applications are discussed, along with the participants' connections and implementations of CT concepts (decomposition, abstraction, pattern recognition, and…
Descriptors: Robotics, Grade 6, Units of Study, Science Instruction
Louca, Loucas T.; Zacharia, Zacharias C.; Michael, Michalis; Constantinou, Constantinos P. – Journal of Educational Computing Research, 2011
The purpose of this study was to develop a framework for analyzing and evaluating student-constructed models of physical phenomena and monitoring the progress of these models. Moreover, we aimed to examine whether this framework could capture differences between models created using different computer-based modeling tools; namely, computer-based…
Descriptors: Foreign Countries, Programming, Classification, Student Evaluation
Annetta, Leonard; Vallett, David; Fusarelli, Bonnie; Lamb, Richard; Cheng, Meng-Tzu; Holmes, Shawn; Folta, Elizabeth; Thurmond, Brandi – Journal of Computers in Mathematics and Science Teaching, 2014
The purpose of this study was to examine the effect Serious Educational Games (SEGs) had on student interest in science in a federally funded game-based learning project. It can be argued that today's students are more likely to engage in video games than they are to interact in live, face-to-face learning environments. With a keen eye on…
Descriptors: Educational Games, Science Instruction, Student Interests, Learning Activities
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