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Su, King-Dow – Journal of Baltic Science Education, 2022
This research conceived multivariate learning concepts and aimed at the implementation of integrating artificial intelligence (AI) life learning of face recognition, self-driving, and robots' situational issues into problem-based learning (PBL) in natural science. This research put forward problem-solving and group cooperation in which students…
Descriptors: Foreign Countries, Artificial Intelligence, Robotics, Natural Sciences
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Çayci, Baris; Örnek, Gizem Tabaru – Asian Journal of Education and Training, 2019
The aim of this study was to examine the effect of STEM-based activities conducted in fourth-grade primary school science classes on students' scientific process skills, problem-solving skills and academic success. The study used the experimental model and was carried out according to the pretest-posttest experimental design with a control group.…
Descriptors: Grade 4, Elementary School Science, STEM Education, Learning Activities
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Chu, Hui-Chun; Hung, Chun-Ming – International Journal of Distance Education Technologies, 2015
In this study, the game-based development approach is proposed for improving the learning motivation, problem solving skills, and learning achievement of students. An experiment was conducted on a learning activity of an elementary school science course to evaluate the performance of the proposed approach. A total of 59 sixth graders from two…
Descriptors: Educational Games, Educational Technology, Teaching Methods, Elementary School Science
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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