Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

In 2012 the Leyte Normal University developed a computer software--modelled after the Spache Readability Formula (1953) made for English--made to help rank texts that can is used by teachers or research groups on selecting appropriate reading materials to support the DepEd's MTB-MLE program in Region VIII, in the Philippines. However,…

Background: Although McNemar Test is the most appropriate tool for analyzing pre-post differences in dichotomous items (e.g., "yes" or "no", "correct" or "incorrect", etc.), many scholars have noted the inappropriate use of Pearson's Chi-square Test by researchers, including social scientists and evaluators,…

In this study, we examined whether orthographic learning can be demonstrated in disabled readers learning to read in a transparent orthography (Dutch). In addition, we tested the effect of the use of text-to-speech software, a new form of direct instruction, on orthographic learning. Both research goals were investigated by replicating Share's…

The case-study aims to examine the effectiveness of training of morphological structure on the spelling of compounds by a spelling-disabled primary school student. The experimental design of the intervention was based on the word-pair paradigm and included a pre-test, a training program and a post-test (n = 50 pairs). The Training Program aimed to…

Technology has gained a firm stronghold in society as well as modern classroom. Students are assumed to have a natural aptitude for computers. Over the past decades, educational websites have appeared to be "interactive" and "to make learning fun". This study employed quantitative method of research using 8th grade instructors…

Newer statistical procedures are typically introduced to help address the limitations of those already in practice or to deal with emerging research needs. Quantile regression (QR) is introduced in this paper as a relatively new methodology, which is intended to overcome some of the limitations of least squares mean regression (LMR). QR is more…

The present study enlightens the impact of Learner- Oriented-Virtual Learning in enriching knowledge in Environmental Education at primary level.To achieve the expected competency in Biodiversity, various approaches were adopted in the class room transaction which were not fruitful. Hence the researcher practiced the Learner-Oriented-Virtual…

Preservice elementary education students often do not have a good feel for the process of science. Many may be acquainted with the steps of the scientific method but have never been through the scientific process. An exercise was designed using temperature-logging iButtons (Thermochrons) to improve knowledge of and familiarity with the process of…

The purpose of this study was to assess if there was a relationship between sixth, seventh, and eighth grade student's level of mastery of basic math facts and their mathematical scaled score from a standardized test, whether computer assisted instruction (CAI) software improved seventh grade students' ability to master their basic math…

Computer technology can be integrated into science inquiry activities to increase student motivation and enhance and expand scientific thinking. Fifth-grade students used the visual thinking tools in the Kidspiration[R] software program to generate and represent a web of hypotheses around the question, "What affects the distance a marble rolls?"…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

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…