Despite undeniable advances in research on language learning strategies in the last several decades, empirical investigations of actions and thoughts that learners engage in to better understand and use grammar structures in different contexts, or grammar learning strategies (GLS), remain scarce. Moreover, there is a paucity of studies examining…

Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…

The purpose of this study was to analyze six English as a Foreign Language (EFL) learners' trajectories of discriminating near-synonyms in a data-driven learning task. Since the learners find it considerably difficult to learn subtle meaning differences of near-synonyms, corpus-based data-driven learning may provide an opportunity for them to…

The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…

Postgraduates' English acquisition is an intriguing but complex process. A lot of factors have contributed to the outcome of a learner's acquisition, among them, motivation and strategy are playing a crucial role. Motivation is the driving force to encourage the learner to learn, while strategy being the techniques or devices for a learner to use…

The doctrine of localized brain functions has strongly influenced many educators. Gerald Edelman's recent research challenges this doctrine by advancing categorization and recategorization as the brain's overriding activities. Instruction that focuses overmuch on similarities is misguided and confusing. Instead, classroom instruction should employ…

In an effort to individualize instruction and improve the effectiveness of instructor-learner transactions, education and instructional research has addressed a wide assortment of learner variables and assessed their relationships to instructional methods and environments. Adult education has recently seen the development by Conti and Kolody of a…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

This paper examines cognitive processing problems associated with attention deficit disorders (ADD) and their relationship to learning disabilities in elementary and secondary students. Children with ADD, medicated (N=20) and unmedicated (N=21), were compared on the Raven test of Progressive Matrices and other tests with children who had been…

This paper presents a discussion, based on current research, of what can be done to help children achieve the highest level of cognitive development (Piaget's formal operations). The four factors which Piaget found to be involved in cognitive development are discussed in relation to recent research. These factors include: (1) organic growth and…

Educators and learners have diverse thinking style preferences. Recognition of this difference in preferences is very important in the design of a curriculum and the way it is taught. Educators are often unaware of the way learners think and learn. Cataloging and classification can only be taught effectively if the diversity in thinking style is…

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…