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Bray, Mark – ECNU Review of Education, 2021
Purpose: Private supplementary tutoring, widely known as shadow education, has long been visible in East Asia, and now has spread to other parts of the world including Europe. This article maps the phenomenon, showing variations within Europe and analyzing its growth, underlying forces, and policy implications. Design/Approach/Methods: The article…
Descriptors: Foreign Countries, Geographic Regions, Tutoring, Private Education
Farinde-Wu, Abiola; Young, Jemimah L.; Texeira, Sam – Teachers College Record, 2021
Background/Context: Critical consciousness (CC) is an awareness and reflection of inequities, political efficacy, and agency in response to injustice. Similarly, sociopolitical development (SPD) is the process of developing a critical understanding, skill set, and emotional depth to enact individual agency against oppressive forces. Of the latter,…
Descriptors: African American Students, Females, Preservice Teachers, High School Students
Prihar, Ethan; Heffernan, Neil – International Educational Data Mining Society, 2021
Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…
Descriptors: Computer Software, Middle School Teachers, Mathematics Teachers, College Students
Kim, Byungsoo; Yu, Hangyeol; Shin, Dongmin; Choi, Youngduck – International Educational Data Mining Society, 2021
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…
Descriptors: Academic Achievement, Intelligent Tutoring Systems, Prediction, Scores
Kourtney R. Kromminga – ProQuest LLC, 2021
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…
Descriptors: Grade 4, National Competency Tests, Mathematics Education, Mathematical Concepts
Mizoguchi, Riichiro; Bourdeau, Jacqueline – International Journal of Artificial Intelligence in Education, 2016
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…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Information Science
VanLehn, Kurt – International Journal of Artificial Intelligence in Education, 2016
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…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Performance
Graf von Malotky, Nikolaj Troels; Martens, Alke – International Association for Development of the Information Society, 2016
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…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Client Server Architecture, Computer Software
Cai, Zhiqiang; Gong, Yan; Qiu, Qizhi; Hu, Xiangen; Graesser, Art – Grantee Submission, 2016
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…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Dialogs (Language), Programming
Skinner, Anna; Diller, David; Kumar, Rohit; Cannon-Bowers, Jan; Smith, Roger; Tanaka, Alyssa; Julian, Danielle; Perez, Ray – International Journal of STEM Education, 2018
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…
Descriptors: Task Analysis, Feedback (Response), Intelligent Tutoring Systems, Comparative Analysis
Fletcher, J. D. – Technology, Instruction, Cognition and Learning, 2018
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…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Public Agencies, Information Technology
Zeneli, Mirjan; Tymms, Peter; Bolden, David – International Journal of Psychology and Educational Studies, 2018
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.…
Descriptors: Cross Age Teaching, Peer Teaching, Tutoring, Tutors
Whitehill, Jacob; Movellan, Javier – IEEE Transactions on Learning Technologies, 2018
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],…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Educational Policy, Comparative Analysis
Doherty, Catherine; Dooley, Karen – British Journal of Sociology of Education, 2018
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…
Descriptors: Parent Role, Tutoring, Literacy Education, Parent Attitudes
Stecher, Ludwig – International Journal for Research on Extended Education, 2018
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…
Descriptors: After School Programs, Community Programs, Tutoring, Equal Education

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