The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

The increasing amount of available subjective text data in internet such as product reviews, movie critiques and social media comments provides golden opportunities for information retrieval researchers to extract useful information out of such datasets. Topic modeling and sentiment analysis are two widely researched fields that separately try to…

Many studies have highlighted the importance of personalized learning, and most current e-learning systems are able to personalize materials, activities, etc., based on individualized learner-factors. However, none of the extant word-learning systems provides a personalized learning experience that is guided by a comprehensive word learning…

Background/Context: Current efforts to build rigorous teacher evaluation systems has increased interest in standardized classroom observation tools as reliable measures for assessing teaching. However, many argue these instruments can also be used to effect change in classroom practice. This study investigates a model of professional development…

This paper examines which configuration of teaching activities maximizes student performance. For this purpose a nonparametric efficiency model is formulated that accounts for (1) self-selection of students and teachers in better schools and (2) complementary teaching activities. The analysis distinguishes both individual teaching (i.e., a…

The lack of clear and manageable implementation models for individualized instruction continued to exist in high schools. Formal individualized teaching (FIT), a differentiated instructional model, was studied to determine its impact on student learning. The FIT model included analyzing student data using a Pareto analysis to identify individual…

There are 25 million displaced children worldwide, and those receiving schooling are often educated in overcrowded classrooms. Montessori is a child-centred educational method that provides an alternative model to traditional educational approaches. In this model, students are able to direct their own learning and develop at their own pace,…

This qualitative action research study examined teachers' perceptions about co-teaching and its effectiveness as an instructional model for students with disabilities. One-on-one interviews were conducted with eight elementary and secondary teachers from a medium sized school district located in Southwest Ohio that has a students' with…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

The nature and purpose of criterion-referenced testing is discussed in light of test design procedures. It is seen that the uses to which test results are put are the chief determiners of the appropriate measurement model. A distinction is made between cut-off scores, criterion scores, and mastery scores. The value of certain test construction…

The purpose of this research project was to determine if online learning could be adapted to individual learning styles and if this made a difference in the standardized testing scores of Internet students. An overview is provided of current learning theories, including the four stages of learning (exposure, guided learning, independent, mastery)…

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…