This study aims to investigate the effectiveness of explicit information (EI) in the context of Processing Instruction (PI) as an alternative to traditional teaching methods. PI encompasses explicit information and structured input activity (SI). However, the effectiveness of EI has been a subject of debate. To address this question, grade-7…

The Objective of the study was to ascertain how Rosetta Stone in English class affected students' ability to pronounce English. This methodology employed a quasi-experimental pretest-posttest design with 30 samples split into two groups. The technique used was non-probability sampling. Pronunciation test technique was employed for data collecting.…

The developments in technology bring to mind the questions of how the acquisitions and contents of the curriculum in the foreign language teaching process can be transferred to the students in a more effective and permanent way and which methods and technological opportunities can be used in the education process, revealing that different…

This study investigated the effect a computer intervention program has on student proficiency in the Algebra 1 End of Course (EOC) examination. This study utilized the intervention math program IXL Math, a computerized program that targets individual students' skill practice and supports students' need to accelerate mastery of Algebra 1 skills in…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…

Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…

The present study uses a short, computerized task to investigate individual differences among middle school students in terms of the intuitions and strategies that they use to compare fractions. To tap into their intuitions about fractions, students were presented with pairs of fractions on the screen for a limited time of 10 s. Fraction pairs to…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…

Purpose: This paper aimed to present the integration of contextualisation in the Department of Education (DepEd) existing module using mobile applications and to find out the influence of the contextualised module with mobile applications (CMMA) entitled Geometry Techy on learners' mathematics performance. Method: The module used…

Character and cultural education has in important role in growing and developing the noble values of a nation. Character education in school can be means of civilizing and humanizing so that the goals of character education can be achieved. One of the link between culture and character education is ethnomathematics. However, there is still a lack…

The primary purpose of this research study was to evaluate the efficacy of BASE, a self-paced online mental health education preventive intervention with middle school students. Two hundred ninety-five adolescent students were randomly assigned to receive BASE modules (n = 156) in a regular education classroom setting over a 5-week period or to a…

Computer-supported collaborative learning (CSCL) is a technology-driven inquiry-based approach that encourages social interaction and shared knowledge construction in completing computer-aided tasks. Although there were researches carried out on CSCL, no research to date has extensively examined how CSCL enhanced with scripts containing…

Students with high incidence disabilities in the public school system often perform multiple grade levels below their typically developing peers in mathematics achievement. These students exhibit lower levels of on-task behavior that limits their access to effective instruction, thus requiring instructional interventions that personalize learning,…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…