The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However, since labels for academic performance, such as test scores, are collected from outside of ITS, obtaining the labels is costly, leading to label-scarcity problem which…

Over half of 4th grade students did not meet proficiency standards in mathematics on the National Assessment of Educational Performance in 2019 and this problem has persisted over time. This underachievement coupled with the numerous barriers to implementing evidence-based practices in schools reveals a need to provide a menu of effective…

Background: Contemporary work in the design and development of intelligent training systems employs task analysis (TA) methods for gathering knowledge that is subsequently encoded into task models. These task models form the basis of intelligent interpretation of student performance within education and training systems. Also referred to as expert…

Computer technology has been used for over 50 years to tailor learning experiences to the needs and interests of individual learners at all levels of instruction. It provides adaptation and individualization that is difficult, if not impossible to apply in a classroom of 20-30 students. This article provides a brief background and discussion about…

Peer tutoring is a form of structured peer learning technique. This study develops and tests a new form of peer tutoring technique, 'Interdependent Cross-Age Peer Tutoring' (ICAT). The method is informed by the 'what works literature' within peer tutoring and brings together crucial elements which have been shown to provide high effect sizes.…

We propose a method of generating teaching policies for use in intelligent tutoring systems (ITS) for concept learning tasks [1], e.g., teaching students the meanings of words by showing images that exemplify their meanings à la Rosetta Stone [2] and Duo Lingo [3]. The approach is grounded in control theory and capitalizes on recent work by [4],…

This article considers moral agendas projected onto parents that mobilise them to supplement school literacy education with private tutoring. The theoretical frame draws on the concepts of responsibilisation as emerging market-embedded morality, 'nudge' social policies, edu-business and hidden privatisation in education. This framing is applied to…

In most modern countries, much learning in childhood and adolescence takes place outside of regular school hours. That holds for community-based programs -- like afterschool programs -- as well as for private offerings -- like private tutoring. In the international research literature, this field of learning opportunity is called extended…

This text traces the development of an aspiring biracial teacher's growing understandings of African American youth HE tutors. It deploys a Bakhtinian conceptual framework for how we might develop new understandings of ourselves through relationships and dialogues with others. It offers examples from one aspiring teacher's experiences to…

Accurately modeling individual students' knowledge growth is important in many applications of learning analytics. A key step is to decompose the knowledge targeted in the instruction into detailed knowledge components (KCs). We search for an accurate KC model for basic equation solving skills, using data from an intelligent tutoring system (ITS),…

This article reflects on the ontology engineering methodology discussed by the paper entitled "Using Ontological Engineering to Overcome AI-ED Problems" published in this journal in 2000. We discuss the achievements obtained in the last 10 years, the impact of our work as well as recent trends and perspectives in ontology engineering for…

This commentary suggests a generalization of the conception of the behavior of tutoring systems, which the target article characterized as having an outer loop that was executed once per task and an inner loop that was executed once per step of the task. A more general conception sees these two loops as instances of regulative loops, which…

Intelligent Tutoring System are state of the art in eLearning since the late 1980s. The earliest system have been developed in teams of psychologists and computer scientists, with the goal to investigate learning processes and, later on with the goal to intelligently support teaching and training with computers. Over the years, the eLearning hype…

AutoTutor uses conversational intelligent agents in learning environments. One of the major challenges in developing AutoTutor applications is to assess students' natural language answers to AutoTutor questions. We investigated an AutoTutor dataset with 3358 student answers to 49 AutoTutor questions. In comparisons with human ratings, we found…

This study investigates EFL Saudi male and female learners' and tutors' attitudes and practices in the Writing Centers at the College of Languages and Translation (CLTWCs) at Al-Imam Muhammad Ibn Saud Islamic University to determine the effectiveness of such centers. In fact, understanding EFL learners' needs is believed to eliminate some of the…