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Acharya, Anal; Sinha, Devadatta – Journal of Educational Computing Research, 2017
The aim of this article is to propose a method for development of concept map in web-based environment for identifying concepts a student is deficient in after learning using traditional methods. Direct Hashing and Pruning algorithm was used to construct concept map. Redundancies within the concept map were removed to generate a learning sequence.…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Concept Mapping, Learning Problems
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Britton, Nicole Scott; Collins, Belva C.; Ault, Melinda Jones; Bausch, Margaret E. – Focus on Autism and Other Developmental Disabilities, 2017
Within the context of a multiple baseline design, the researchers in this investigation used a constant time delay (CTD) procedure to teach two classroom support personnel (i.e., paraprofessional, peer tutor) to use a simultaneous prompting (SP) procedure when teaching a high school student with a moderate intellectual disability to (a) identify…
Descriptors: Teaching Methods, Time Factors (Learning), Prompting, High School Students
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Mostafavi, Behrooz; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2017
Deductive logic is essential to a complete understanding of computer science concepts, and is thus fundamental to computer science education. Intelligent tutoring systems with individualized instruction have been shown to increase learning gains. We seek to improve the way deductive logic is taught in computer science by developing an intelligent,…
Descriptors: Artificial Intelligence, Problem Solving, Educational Technology, Technology Uses in Education
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DeLiema, David – Instructional Science: An International Journal of the Learning Sciences, 2017
The ideas students have about what causes math failure are known to impact motivation. This paper throws light on how attributions of failure are negotiated during math tutoring, between 4th/5th graders and volunteer tutors, at a non-profit STEM-based after-school program. The study employs methods of interaction analysis on a small number of…
Descriptors: Mathematics Instruction, Tutoring, Academic Failure, Grade 4
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Schmidt-Jones, Catherine Anne – International Journal of Music Education, 2017
There is currently considerable interest in strengthening the connections between formal music education and informal, self-motivated music practices. Participants in this study were adults who were self-motivated to learn formal music concepts, but had encountered barriers to doing so independently. The study offered them individual online…
Descriptors: Music Education, Informal Education, Self Motivation, Adults
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Thompson, Nik; McGill, Tanya Jane – Educational Technology Research and Development, 2017
This paper details the design, development and evaluation of an affective tutoring system (ATS)--an e-learning system that detects and responds to the emotional states of the learner. Research into the development of ATS is an active and relatively new field, with many studies demonstrating promising results. However, there is often no practical…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Psychological Patterns, Affective Measures
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Stone, Melissa L.; Kent, Kevin M.; Roscoe, Rod D.; Corley, Kathleen M.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2017
This chapter explores three broad principles of user-centered design methodologies: participatory design, iteration, and usability considerations. The authors highlight the importance of considering teachers as a prominent type of ITS end user, by describing the barriers teachers face as users and their role in educational technology design. To…
Descriptors: Intelligent Tutoring Systems, Design, Usability, Barriers
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Graesser, Arthur C.; Forsyth, Carol M.; Lehman, Blair A. – Grantee Submission, 2017
Background: Pedagogical agents are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with the students in natural language. Dialogues occur between a tutor agent and the student in the case of AutoTutor and other intelligent tutoring systems with natural language…
Descriptors: Intelligent Tutoring Systems, Computer Managed Instruction, Natural Language Processing, Instructional Design
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Hutt, Stephen; Hardey, Jessica; Bixler, Robert; Stewart, Angela; Risko, Evan; D'Mello, Sidney K. – International Educational Data Mining Society, 2017
We investigate the use of consumer-grade eye tracking to automatically detect Mind Wandering (MW) during learning from a recorded lecture, a key component of many Massive Open Online Courses (MOOCs). We considered two feature sets: stimulus-independent global gaze features (e.g., number of fixations, fixation duration), and stimulus-dependent…
Descriptors: Eye Movements, Attention, Lecture Method, Student Behavior
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Shen, Shitian; Chi, Min – International Educational Data Mining Society, 2017
One of the most challenging tasks in the field of Educational Data Mining (EDM) is to cluster students directly based on system-student sequential moment-to-moment interactive trajectories. The objective of this study is to build a general temporal clustering framework that captures the distinct characteristics of students' sequential behaviors…
Descriptors: Sequential Approach, Cluster Grouping, Interaction, Student Behavior
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Albacete, Patricia; Silliman, Scott; Jordan, Pamela – Grantee Submission, 2017
Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Multiple Choice Tests, Computer Assisted Testing
Such, Brenda Lee Ruei-Chi – ProQuest LLC, 2017
Within the last 10 years, higher education has seen the accelerated development of blended learning (BL), active learning (AL), and STEM education. The presented mixed methods study examined a proposed framework that BL affordances enable or constrain AL, as a representation of constructivist learning theory, and that the relationship between BL…
Descriptors: Active Learning, Blended Learning, Academic Persistence, Affordances
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Lehmann, Curtis – Journal of Higher Education Outreach and Engagement, 2019
Service engagement is critical to many higher education institutions. Past research has looked at spiritual change as a result of service engagement, but few studies have looked at how spirituality might contribute to engagement in service projects, particularly from a reasoned action approach. This quantitative study looked at God concept and…
Descriptors: Service Learning, Religious Factors, Undergraduate Students, Tutoring
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Nygren, Eeva; Blignaut, A. Seugnet; Leendertz, Verona; Sutinen, Erkki – Informatics in Education, 2019
Technology-enhanced learning generally focuses on the cognitive rather than the affective domain of learning. This multi-method evaluation of the INBECOM project (Integrating Behaviourism and Constructivism in Mathematics) was conducted from the point of view of affective learning levels of Krathwohl "et al." (1964). The research…
Descriptors: Game Based Learning, Electronic Learning, Mathematics Instruction, Intelligent Tutoring Systems
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Tican, Canses; Deniz, Sabahattin – European Journal of Educational Research, 2019
The purpose of the current study is to determine pre-service teachers' opinions about 21st century learner and teacher skills. The study group of the current research is comprised of 391 senior students from an education faculty. As the data collection tool, the 21st century Learner Skills Use Questionnaire and 21st Century Teacher Skills Use…
Descriptors: Preservice Teachers, Student Attitudes, Teaching Skills, Thinking Skills
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