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Mohammadzadeh, Ahmad; Sarkhosh, Mehdi – International Journal of Instruction, 2018
The current study attempted to investigate the effects of self-regulatory learning through computer-assisted intelligent tutoring system on the improvement of speaking ability. The participants of the study, who spoke Azeri Turkish as their mother tongue, were students of Applied Linguistics at BA level at Pars Abad's Azad University, Ardebil,…
Descriptors: Intelligent Tutoring Systems, Turkish, Native Language, Applied Linguistics
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González-Calero, José Antonio; Arnau, David; Puig, Luis; Arevalillo-Herráez, Miguel – British Journal of Educational Technology, 2015
The term intensive scaffolding refers to any set of conceptual scaffolding strategies that always allow the user to find the solution to a problem. Despite the many benefits of scaffolding, some negative effects have also been reported. These are mainly related to the possibility that a student solves the problems without actually engaging in…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Intelligent Tutoring Systems, Algebra
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Li, Haiying; Chen, Qinyu; Yu, Qiong; Graesser, Arthur C. – Grantee Submission, 2015
This paper investigates how the peer agent's learning competency affects English learners' reading, engagement, system self-efficacy, and attitudes toward the peer agent in a trialogue-based intelligent tutoring system (ITS). Participants learned a summarizing reading strategy in the compare-contrast text structure in the ITS. Results detected the…
Descriptors: English Language Learners, Reading Skills, Reading Strategies, Intelligent Tutoring Systems
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…
Descriptors: Reading Comprehension, Reading Skills, Natural Language Processing, Intelligent Tutoring Systems
González-Brenes, José P.; Huang, Yun – International Educational Data Mining Society, 2015
Classification evaluation metrics are often used to evaluate adaptive tutoring systems-- programs that teach and adapt to humans. Unfortunately, it is not clear how intuitive these metrics are for practitioners with little machine learning background. Moreover, our experiments suggest that existing convention for evaluating tutoring systems may…
Descriptors: Intelligent Tutoring Systems, Evaluation Methods, Program Evaluation, Student Behavior
Dilara Alim Sayeed – ProQuest LLC, 2015
Chicago Public Schools (CPS) aims to effectively and efficiently leverage Education Technology (referred to as Ed Tech) to serve as a powerful resource for strong instruction. The term "Ed Tech" at CPS refers to digital instructional products and programs, used by students or educators, for teaching and learning. Examples of Ed Tech…
Descriptors: Public Schools, Urban Schools, School Districts, Educational Change
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Schwonke, Rolf; Ertelt, Anna; Otieno, Christine; Renkl, Alexander; Aleven, Vincent; Salden, Ron J. C. M. – Learning and Instruction, 2013
We tested whether the provision of metacognitive knowledge on how to cope with the complexity of a learning environment improved learning. In an experimental setting, high-school students (N = 60) worked through a computer-based geometry lesson either with or without metacognitive support in the form of a cue card. This cue card encouraged…
Descriptors: Metacognition, Intelligent Tutoring Systems, High School Students, Geometry
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Porayska-Pomsta, Kaska; Mavrikis, Manolis; D'Mello, Sidney; Conati, Cristina; Baker, Ryan S. J. d. – International Journal of Artificial Intelligence in Education, 2013
Research on the relationship between affect and cognition in Artificial Intelligence in Education (AIEd) brings an important dimension to our understanding of how learning occurs and how it can be facilitated. Emotions are crucial to learning, but their nature, the conditions under which they occur, and their exact impact on learning for different…
Descriptors: Intelligent Tutoring Systems, Psychological Patterns, Data Collection, Affective Measures
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Leite, Maici Duarte; Marczal, Diego; Pimentel, Andrey Ricardo; Direne, Alexandre Ibrahim – Journal of Technology and Science Education, 2014
This paper presents the application of some concepts of Intelligent Tutoring Systems (ITS) to elaborate a conceptual framework that uses the remediation of errors with Multiple External Representations (MERs) in Learning Objects (LO). To this is demonstrated a development of LO for teaching the Pythagorean Theorem through this framework. This…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Models, Mathematics Instruction
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Rinderknecht, Christian – Informatics in Education, 2014
We survey the literature about the teaching and learning of recursive programming. After a short history of the advent of recursion in programming languages and its adoption by programmers, we present curricular approaches to recursion, including a review of textbooks and some programming methodology, as well as the functional and imperative…
Descriptors: Teaching Methods, Learning Processes, Visualization, Animation
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Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2014
In the current study, we utilize natural language processing techniques to examine relations between the linguistic properties of students' self-explanations and their reading comprehension skills. Linguistic features of students' aggregated self-explanations were analyzed using the Linguistic Inquiry and Word Count (LIWC) software. Results…
Descriptors: Natural Language Processing, Reading Comprehension, Linguistics, Predictor Variables
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Sao Pedro, Michael A.; Gobert, Janice D.; Betts, Cameron G. – Grantee Submission, 2014
There are well-acknowledged challenges to scaling computerized performance-based assessments. One such challenge is reliably and validly identifying ill-defined skills. We describe an approach that leverages a data mining framework to build and validate a detector that evaluates an ill-defined inquiry process skill, designing controlled…
Descriptors: Performance Based Assessment, Computer Assisted Testing, Inquiry, Science Process Skills
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Du, Jie; Wimmer, Hayden; Rada, Roy – Journal of Information Technology Education: Innovations in Practice, 2016
The Hour of Code is a one-hour introduction to computer science organized by Code.org, a non-profit dedicated to expanding participation in computer science. This study investigated the impact of the Hour of Code on students' attitudes towards computer programming and their knowledge of programming. A sample of undergraduate students from two…
Descriptors: Undergraduate Students, Computer Science Education, Programming, Introductory Courses
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Muñoz, Karla; Noguez, Julieta; Neri, Luis; Mc Kevitt, Paul; Lunney, Tom – Educational Technology & Society, 2016
Game-based Learning (GBL) environments make instruction flexible and interactive. Positive experiences depend on personalization. Student modelling has focused on affect. Three methods are used: (1) recognizing the physiological effects of emotion, (2) reasoning about emotion from its origin and (3) an approach combining 1 and 2. These have proven…
Descriptors: Educational Games, Psychological Patterns, Models, Academic Achievement
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Erdemir, Mustafa; Ingeç, Sebnem Kandil – Universal Journal of Educational Research, 2016
The purpose of this study is to identify pre-service primary mathematics teachers' views regarding on Web-based Intelligent Tutoring Systems (WBITS) in relation to its usability and influence on teaching. A survey method was used. The study was conducted with 43 students attending the mathematics teaching program under the department of elementary…
Descriptors: Preservice Teachers, Mathematics, Mathematics Teachers, Mathematics Instruction
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