Possibilities for a different form of education have provided rich sources of inspiration for science fiction writers. Isaac Asimov, Orson Scott Card, Neal Stephenson, Octavia Butler, and Vernor Vinge, among others, have all projected their own visions of what education could be. These visions sometimes engage with technologies that are currently…

This study, first, examined whether there was any relationship between Iranian L2 learners' vocabulary learning strategies (VLSs), on the one hand, and their multiple intelligences (MI) types, on the other hand. In so doing, it explored the extent to which MI would predict L2 learners' VLSs. To these ends, 40 L2 learners from Isfahan University of…

Evidence-based practice (EBP) is of critical importance in education where emphasis is placed on the need to equip educators with an ability to independently generate and reflect on evidence of their practices in situ--a process also known as "praxis." This paper examines existing research related to teachers' metacognitive skills and,…

The objective of the study was to find out the effect of EI and gender on job satisfaction of primary school teachers. A total of 300 (150 male and 150 female) primary school teachers were selected randomly for the study. Emotional Intelligence Scale (EIS) and Teachers' Job Satisfaction Scale (TJSS) were used to collect the data. The study found a…

This paper is a commentary on "Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation", by Cristina Conati and Kurt Vanlehn, published in the "IJAED" in 2000 (Conati and VanLehn 2010). This work was one of the first examples of Intelligent Learning Environments (ILE) that…

Help seeking is an important process in self-regulated learning (SRL). It may influence learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at the student's request. The Help Tutor was a tutor agent that gave in-context, real-time feedback on students' help-seeking behavior, as they were learning with an ITS.…

The current study examined the incremental validity of the Luria interpretive scheme for the Kaufman Assessment Battery for Children-Second Edition (KABC-II) for predicting scores on the Kaufman Test of Educational Achievement-Second Edition (KTEA-II). All participants were children and adolescents (N = 2,025) drawn from the nationally…

This article describes the themes found in the past 25 years of creativity research. Computational methods and network analysis were used to map keyword theme development across ~1,400 documents and ~5,000 unique keywords from 1990 (the first year keywords are available in Web of Science) to 2015. Data were retrieved from Web of Science using the…

I pursue three of the many lines of thought that were raised in my mind by Kristjánsson's engaging book. In the first section, I try to get clearer on what exactly Aristotelian character education (ACE) is, and suggest areas where I hope the view is developed in more detail. In the second and longest section, I draw some lessons from social…

Current models of spiritual development suggest that adolescents have limited capacity for spirituality and spiritual experiences. Adolescents are seen to have immature moral and ethical judgment and be incapable of deep spiritual experience due to lack of cognitive development. This mixed-methods study explored the existence of spiritual…

The Munich Model of Giftedness (MMG) by Heller and his colleagues, developed for the identification of gifted children, is adapted and expanded, with the aim of making it more universally usable as a model for the pathway from talents to performance. On the side of the talent-factors, the concept of multiple intelligences is introduced, and the…

To explore the relationship between memory and early school performance, we used graph theory to investigate memory reports from 76 children aged 6-8 years. The reports comprised autobiographical memories of events days to years past, and memories of novel images reported immediately after encoding. We also measured intelligence quotient (IQ) and…

Engineering virtual internships are simulations where students role play as interns at fictional companies, working to create engineering designs. To improve the scalability of these virtual internships, a reliable automated assessment system for tasks submitted by students is necessary. Therefore, we propose a machine learning approach to…

Estimating student proficiency is an important task for computer based learning systems. We compare a family of IRT-based proficiency estimation methods to Deep Knowledge Tracing (DKT), a recently proposed recurrent neural network model with promising initial results. We evaluate how well each model predicts a student's future response given…

A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…