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Chen-Chung Liu; Wan-Jun Chen; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Journal of Educational Computing Research, 2024
Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…
Descriptors: Reading Interests, Active Learning, Intelligent Tutoring Systems, Artificial Intelligence
Sanjana Gautam – ProQuest LLC, 2024
Adaptive learning systems aim to emulate how skilled educators provide every student with the best possible learning experience. We investigate how these systems might be enriched by incorporating activities and indicators of social learning, which focus on the influences of learners' social context and interactions. This doctoral research aims to…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Rating Scales
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Chen, Su; Lippert, Anne; Shi, Genghu; Fang, Ying; Graesser, Arthur C. – Grantee Submission, 2018
This paper describes a novel automated disengagement tracing system (DTS) that detects mind wandering in students using AutoTutor, an Intelligent Tutoring System (ITS) with conversational agents. DTS is based on an unsupervised learning method and thus does not rely on any self-reports of disengagement. We analyzed the reading time and response…
Descriptors: Learner Engagement, Intelligent Tutoring Systems, Reading Comprehension, Adult Literacy
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Li, Haiying; Gobert, Janice; Dickler, Rachel – Grantee Submission, 2018
Science assessments should evaluate the full complement of inquiry practices (NGSS, 2013). Our previous work has shown that a large proportion of students' open responses did not match their scientific investigations (Li et al., 2017a). The present study both unpacks and compares the sub-components underlying students' performance for…
Descriptors: Inquiry, Intelligent Tutoring Systems, Middle School Students, Content Area Writing
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Huang, Jin-Xia; Lee, Kyung-Soon; Kwon, Oh-Woog; Kim, Young-Kil – Research-publishing.net, 2017
This paper presents a chatbot for a Dialogue-Based Computer-Assisted second Language Learning (DB-CALL) system. A DB-CALL system normally leads dialogues by asking questions according to given scenarios. User utterances outside the scenarios are normally considered as semantically improper and simply rejected. In this paper, we assume that raising…
Descriptors: Second Language Learning, Dialogs (Language), Intelligent Tutoring Systems, Freedom
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Shaklein, Victor Mikhailovich; Olivia, Ndjelassili Bouanga Adelaide – International Journal of Language Education, 2019
The article is devoted to the trends and transformations of philological education in the context of modern technologies development. The purpose of the research is to study the preparation specifics of philology students and to develop a new approach to their training, based on an effective educational methodology of literary and linguistic…
Descriptors: Linguistics, Teaching Methods, Educational Change, Educational Trends
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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