This study aimed to develop characteristics of the Genre-Based approach (GBA) via the Miro platform and to discover results on using this approach and the Gathering, Processing, Applying, and Self-Regulating (GPAS) process. The study employed experimental research using a true group pretest-posttest control group design with Grade 8 students…

Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…

Virtual classrooms based on the metaverse or virtual reality are useful and effective for imparting basic chemistry concepts. Interactive and immersive environments can effectively teach fundamental chemistry concepts, such as chemical bonding and formulas, thereby making these otherwise abstract and intangible ideas more accessible and…

This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…

This paper presents the design and initial learning research with the MMM modeling platform, seeking to advance middle school students' learning through constructing computational models of complex physical and chemical systems. A complexity-based structure of an MMM interface is introduced. It suggests that a complex system can be described and…

COVID-19 contributed to the largest student performance decline in mathematics since 1990. The nation needs cost-effective mathematic interventions to address this drop and improve students' mathematics performance. This study presents a cost-effectiveness analysis (CEA) of three algebraic technological applications, across four conditions: From…

This study investigates the implementation of the learning management model based on cognitive development theory to enhance mathematical problem-solving ability for Prathomsuksa 6 students. The sample group assigned by cluster random sampling was thirty Prathomsuksa 6 students of Chumchon Yot Kaeng Songkhro School. The research instruments…

Fostering students' computer programming skills has become an important educational issue in the globe. However, it remains a challenge for students to understand those abstract concepts when learning computer programming, implying the need to provide instant learning diagnosis and feedback in computer programming activities. In this study, a…

The goal of this study was to further evaluate the impact of IXL Math on math learning outcomes. Using a quasi-experimental design with matched treatment and control groups, this analysis utilized data from 312 public schools in Mississippi during the 2021-2022 school year. The middle school analysis included 272 schools (136 treatment, 136…

Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…

The goal of this study was to further evaluate the impact of IXL on learning outcomes in math and ELA. Using a quasi-experimental design with matched treatment and control groups, we analyzed data from 296 public schools in Colorado during the 2018-2019 school year. The analysis of IXL Math included 186 schools (93 treatment, 93 control), and the…

Chemistry education has been affected in various aspects, especially teaching models, teaching technology, curriculum design, and teaching assessment, in Chinese Mainland since COVID-19 struck. To explore the change in teaching performance and differences in those teaching performances between middle school teachers and university teachers, this…

As educational technology platforms become more and more commonplace in education, it is critical that these systems work well across a diverse range of student sub-groups. In this study, we estimated the effectiveness of MAP Accelerator; a large-scale, personalized, web-based, mathematics mastery learning platform. Our analysis placed a…

The current study examines the perceived naturalness of lexical bundles learned from early-stage teaching materials in Japanese learners of English. Naturalness ratings of 24 native English speakers and 23 non-native speakers with Japanese as their first language were compared in relation to corpus derived frequencies from the British National…