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Peer reviewed
Download full textBanjade, Rajendra; Rus, Vasile – International Educational Data Mining Society, 2019
Automatic answer assessment systems typically apply semantic similarity methods where student responses are compared with some reference answers in order to access their correctness. But student responses in dialogue based tutoring systems are often grammatically and semantically incomplete and additional information (e.g., dialogue history) is…
Descriptors: Dialogs (Language), Probability, Intelligent Tutoring Systems, Semantics
Direct linkRichard, Verna Marie – ProQuest LLC, 2019
The purpose of this mixed methods study was to investigate relationships between students' ALEKS usage, teachers' implementation of ALEKS, and student performance on the 2017-2018 LEAP 2025 mathematics assessment. The quantitative portion of the study involved district-level analyses and teacher-level analyses that explored relationships between…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Standardized Tests, Mathematics Tests
Standen, Penelope J.; Brown, David J.; Taheri, Mohammad; Galvez Trigo, Maria J.; Boulton, Helen; Burton, Andrew; Hallewell, Madeline J.; Lathe, James G.; Shopland, Nicholas; Blanco Gonzalez, Maria A.; Kwiatkowska, Gosia M.; Milli, Elena; Cobello, Stefano; Mazzucato, Annaleda; Traversi, Marco; Hortal, Enrique – British Journal of Educational Technology, 2020
Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a student's affective state, to move them out of negative states that inhibit learning, into…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
Chiu, Mei-Shiu – Journal of Educational Data Mining, 2020
This study aims to identify effective affective states and behaviors of middle-school students' online mathematics learning in predicting their choices to study science, technology, engineering, and mathematics (STEM) in higher education based on a "positive-affect-to-success hypothesis." The dataset (591 students and 316,974 actions)…
Descriptors: Gender Differences, Predictor Variables, STEM Education, Course Selection (Students)
Zatarain Cabada, Ramón; Barrón Estrada, María Lucía; Ríos Félix, José Mario; Alor Hernández, Giner – Interactive Learning Environments, 2020
Emotions play an important role in students learning to master complex intellectual activities such as computer programing. Emotions such as confusion, boredom and frustration in the student are important factors in determining whether the student will master the exercise of learning to program in the short and long term. Motivation also plays an…
Descriptors: Programming, Game Based Learning, Emotional Response, Psychological Patterns
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
Mitten, Carolyn; Collier, Zachary K.; Leite, Walter L. – Grantee Submission, 2021
Adoption of online resources to support instruction and student performance has amplified with technological advances and increased standards for mathematics education. Because teachers play a critical role in the adoption of technology, analysis of data pertaining to how and why teachers utilize online resources is needed to optimize the design…
Descriptors: Teaching Methods, Educational Resources, Mathematics Instruction, Teacher Role
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
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
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
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
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
Yang, Kexin Bella; Echeverria, Vanessa; Wang, Xuejian; Lawrence, LuEttaMae; Holstein, Kenneth; Rummel, Nikol; Aleven, Vincent – International Educational Data Mining Society, 2021
Constructing effective and well-balanced learning groups is important for collaborative learning. Past research explored how group formation policies affect learners' behaviors and performance. With the different classroom contexts, many group formation policies work in theory, yet their feasibility is rarely investigated in authentic class…
Descriptors: Grouping (Instructional Purposes), Cooperative Learning, Teaching Methods, Kindergarten
