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Schueler, Beth E.; Rodriguez-Segura, Daniel – Annenberg Institute for School Reform at Brown University, 2021
COVID-19-induced school closures generated great interest in tutoring as a strategy to make up for lost learning time. Tutoring is backed by a rigorous body of research, but it is unclear whether it can be delivered effectively remotely. We study the effect of teacher-student phone call interventions in Kenya when schools were closed. Schools…
Descriptors: COVID-19, Pandemics, School Closing, Intervention
Seth Gershenson; Erin Lomax – National Comprehensive Center, 2021
The COVID-19 pandemic has forced school leaders to make difficult decisions about how to balance students' educational needs with the health, safety, and social-emotional well-being of students and teachers. The American Rescue Plan Act of 2021 (Rescue Plan) recently enacted by Congress offers unprecedented amounts of potentially transformative…
Descriptors: COVID-19, Pandemics, School Closing, Student Needs
Zikai Wen – ProQuest LLC, 2021
Drill and practice is a well-received approach to repeatedly train learners' skills through a series of exercises and to reward them with corrective feedback. However, drill-based training may not improve learners' performance if its exercises are badly designed (e.g., not fun, not relevant to the learning goal, and becoming too difficult or too…
Descriptors: Educational Games, Game Based Learning, Computer Games, Artificial Intelligence
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Amanda J. Neitzel; Qiyang Zhang; Robert E. Slavin – Society for Research on Educational Effectiveness, 2021
Background: Over the years, the quantity and quality of educational research has been rapidly improving. This can be attributed to the growing call to use evidence of effectiveness in decision-making by policymakers and practitioners. In fact, evidence sufficient to establish programs as "small", "moderate", or…
Descriptors: Meta Analysis, Evidence Based Practice, Elementary Secondary Education, Educational Legislation
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Fletcher, J. D. – Educational Technology Research and Development, 2017
This report concerns use of a digital tutor to accelerate veterans' acquisition of expertise and improve their preparation for the civilian workforce. As background, it briefly discusses the need to improve veterans' employability, the technology of digital tutoring, its ability to produce advanced levels of technical expertise, and the design,…
Descriptors: Expertise, Military Personnel, Veterans, Electronic Learning
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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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