Self-referent performance beliefs can influence people's decision making related to long-term goals. Current measures of such beliefs, however, do not explicitly focus on the long-term aspects of goal achievement. We introduce a new concept, Long-Term Prospects (LTP), which is defined as the self-perception that one can maintain the continuous…

Our understanding of learning difficulties largely comes from children with specific diagnoses or individuals selected from community/clinical samples according to strict inclusion criteria. Applying strict exclusionary criteria overemphasizes within group homogeneity and between group differences, and fails to capture comorbidity. Here, we…

Learners' adaptation to academic trajectory is shaped by several influencing factors that ought to be considered while attempting to design an intervention towards improving academic performance. Emotion is one factor that influences students' academic orientation and performance. Tracking emotions in text by psychologists have long been a subject…

The profession that creates all other professions has been subject to much debate in recent years. Largely invisible at times, teacher educators have recently been visible mainly in the negative headlines which have surrounded attempts to disrupt this important, but often unsung, profession in order to introduce neoliberal reforms. This paper uses…

The notion that 'intelligence' or 'ability' is genetically inherited refuses to die. This article reviews the way such a notion has long been used to justify inequality in society, and considers the methodological failings and deceptions, and the interpretative blind spots, of those who advance the heritability of 'intelligence' as a basis for…

ACT® Tessera® is a comprehensive assessment system designed to measure five social and emotional skills. Due to its many desirable features, the ACT Tessera development team adopted the Big Five taxonomy, the dominant personality trait model, as the organizing framework. Researchers factor analyzed personal trait-related adjectives identified in…

Students' questions categorization is a challenging task as the available corpora are often limited in size (particularly with languages other than English) and require a costly preliminary manual annotation to train the classifiers. Ensemble learning can help improve machine learning results by combining several models, and is particularly…

Peer assessment has proven to be a useful strategy for increasing the timeliness and quantity of formative feedback, as well as for promoting metacognitive thinking among students. Previous research has determined that reviews that contain suggestions can motivate students to revise and improve their work. This paper describes a method for…

Summarization is an effective strategy to promote and enhance learning and deep comprehension of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation of students' summaries requires time and effort. This problem has led to the development of automated models of summarization quality. However,…

In this article, I describe the 21 ideas underlying a 42-year search to understand giftedness. I present the ideas roughly chronologically, in the order in which they arose, and discuss how in a career as in science, progress means supplementing or even superseding one idea with the next. In terms of the 21 ideas, I start with a discussion of how…

We explore multi-modal machine learning-based approaches (facial expression recognition, auditory emotion recognition, and text sentiment analysis) to identify "negative moments" of teacher-student interaction during classroom teaching. Our analyses on a large (957 videos, each 20min) dataset of classroom observations suggest that: (1)…

Access to education is the first step to benefiting from it. Although cumulative online learning experience is linked academic learning gains, between-country inequalities mean that large populations are prevented from accumulating such experience. Low-and-middle-income countries are affected by disadvantages in infrastructure such as internet…

Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the research is to analyse, quantitatively and…

The current study aims to examine the way in which teachers' and children's perceptions about their relationships influence children's emergent literacy skills. Participants were 913 children and 114 kindergarten teachers within 72 preschool centers from Greece. The measures used were the Student-Teacher Relationship Scale (STRS), the Child…

The aim of this study is to investigate the causes of reading problems experienced by third-grade students because of the instructional malpractices in education and develop a modeling with artificial neural networks. It was carried out according to the exploratory sequential model and consisted of two stages. In the qualitative part, a data pool…