Preparing elementary-aged children to practice data science literacies is important and understudied. Our research investigates how data science curricula might be effectively designed and integrated into elementary classroom instruction. We use narrative case study methodology, focusing on a single case detailing a second-grade teacher's approach…

South African students continue to perform exceptionally poorly on international benchmarking science tests, such as the Trends in International Mathematics and Science Study (TIMSS). Research indicates various reasons underpinning this underperformance, such as a lack of student motivation to learn science and a dearth of teachers' content…

Analytical thinking skills were an essential learning process for primary students. The research objectives were to 1) study the current condition, problems, and good practices regarding teaching and learning. 2) develop a blended instructional model using the inquiry process with digital games to enhance analytical thinking skills for elementary…

Digital game-based learning is a student-centered learning environment that influences learning success and learning motivation. Whereas, a poorly designed instructional game will impair learning. Through extensive knowledge construction and high engagement, collaborative concept mapping strategies have the potential to address above problems.…

Background: Digital game-based learning (DGBL) has shown promise in enhancing learning and motivation, with appropriate scaffolding playing a crucial role in facilitating student inquiries and knowledge acquisition through science games. While scaffolding is generally effective in promoting learning in DGBL, there is variability among different…