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Lavecchia, Adam M.; Oreopoulos, Philip; Brown, Robert S. – National Bureau of Economic Research, 2019
We estimate long-run impacts to the Pathways to Education program, a comprehensive set of coaching, tutoring, group activities and financial incentives offered to disadvantaged students beginning in Grade 9. High school administrative records are matched to income tax records to follow individuals up to the age of 28, even when they leave the…
Descriptors: Disadvantaged Youth, Coaching (Performance), Tutoring, Group Activities
Inns, Amanda J.; Lake, Cynthia; Pellegrini, Marta; Slavin, Robert – Center for Research and Reform in Education, 2019
This article reviews research on the outcomes of diverse reading approaches on the achievement of struggling readers in elementary schools. 61 studies of 48 different programs met rigorous standards. 84% were randomized experiments and 16% quasi-experiments. Outcomes were positive for one-to-one tutoring and were positive but not as large for…
Descriptors: Reading Difficulties, Reading Programs, Elementary School Students, Program Effectiveness
Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
Degraeuwe, Jasper; Goethals, Patrick – Research-publishing.net, 2022
This paper presents a reflection on the design of an Intelligent Computer-Assisted Language Learning (ICALL) 'ecosystem', integrated into an online learning environment for Spanish as a Foreign Language (SFL). The innovative dimension of the ecosystem lies in its triple focus: apart from enabling users to create and use intelligent language…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Spanish
Chou, Chih-Yueh; Chan, Tak-Wai – International Journal of Artificial Intelligence in Education, 2016
"Reciprocal tutoring," as reported in "Exploring the design of computer supports for reciprocal tutoring" (Chan and Chou 1997), has extended the meaning and scope of "intelligent tutoring" originally implemented in stand alone computers. This research is a follow-up to our studies on a "learning companion…
Descriptors: Peer Teaching, Tutoring, Cognitive Processes, Difficulty Level
Graesser, Arthur C. – International Journal of Artificial Intelligence in Education, 2016
AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Communication Strategies, Dialogs (Language)
Goodman, Bradley; Linton, Frank; Gaimari, Robert – International Journal of Artificial Intelligence in Education, 2016
Our 1998 paper "Encouraging Student Reflection and Articulation using a Learning Companion" (Goodman et al. 1998) was a stepping stone in the progression of learning companions for intelligent tutoring systems (ITS). A simulated learning companion, acting as a peer in an intelligent tutoring environment ensures the availability of a…
Descriptors: Simulation, Cooperative Learning, Educational Benefits, Artificial Intelligence
Paaßen, Benjamin; Jensen, Joris; Hammer, Barbara – International Educational Data Mining Society, 2016
The first intelligent tutoring systems for computer programming have been proposed more than 30 years ago, mostly focusing on well defined programming tasks e.g. in the context of logic programming. Recent systems also teach complex programs, where explicit modelling of every possible program and mistake is no longer possible. Such systems are…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data
Aldabas, Rashed – Early Child Development and Care, 2020
The study aims to systematically review evidence on the effectiveness of peer-mediated interventions (PMIs) on children with ASD. A systematic review of English peer reviewed article journals was conducted. Only studies that had children with autism as participants and examined the effectiveness of PMIs in a school or home environment were…
Descriptors: Intervention, Program Effectiveness, Children, Autism
Myers, Jeanine L.; Brown, Matt; Spittler-Brown, Kristi – Journal of Developmental Education, 2020
This article details the adaptation of the FOCUS (Fundamentals of Conceptual Understanding and Success) model (Mireles, Acee, & Gerber, 2014) implemented to improve student success in general education and developmental mathematics at a four-year rural university. The model has been demonstrated successful when implemented at a four-year large…
Descriptors: Mathematics Instruction, Remedial Instruction, Mathematics Achievement, Student Improvement
Almeda, Ma. Victoria; Baker, Ryan S. – Journal of Educational Data Mining, 2020
Given the increasing need for skilled workers in science, technology, engineering, and mathematics (STEM), there is a burgeoning interest to encourage young students to pursue a career in STEM fields. Middle school is an opportune time to guide students' interests towards STEM disciplines, as they begin to think about and plan for their career…
Descriptors: Student Participation, Predictor Variables, STEM Education, Science Careers
Demir, Ümit – Pedagogies: An International Journal, 2020
This research was conducted to determine the effects of the using negative knowledge-based Intelligent Teaching System (ITS) evaluator software in the assessment and evaluation processes of English Teaching as a Foreign language. Experimental design with the pretest-posttest control group was used in this study. The study group consists of 67…
Descriptors: Misconceptions, Intelligent Tutoring Systems, Computer Software, Vocational Education
Ibili, Emin; Çat, Mevlüt; Resnyansky, Dmitry; Sahin, Sami; Billinghurst, Mark – International Journal of Mathematical Education in Science and Technology, 2020
The aim of this research was to examine the effect of Augmented Reality (AR) supported geometry teaching on students' 3D thinking skills. This research consisted of 3 steps: (1) developing a 3D thinking ability scale, (ii) design and development of an AR Geometry Tutorial System (ARGTS) and (iii) implementation and assessment of geometry teaching…
Descriptors: Geometry, Thinking Skills, Mathematics Instruction, Pretests Posttests
Meng-yue, Cao; Dan, Li; Jun, Wang – English Language Teaching, 2020
College English teaching is supposed to cover both language acquisition and culture learning due to the close relationship between language and culture, taking cultural teaching as an indispensible part of college English courses. With the rapid integration of information technology and English curriculum, artificial intelligence has brought new…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Intelligent Tutoring Systems
Wang, Crystal; Orr, Aline – Online Submission, 2020
This report describes findings generated from student focus groups across five GEAR UP campuses in the Fall 2019 semester. The focus group participants described their perspectives of the GEAR UP program, experiences with the GEAR UP activities, and plans for future education. Findings obtained from the 2019 fall student focus groups echoed those…
Descriptors: Student Attitudes, College Readiness, College Preparation, Grade 8

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