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DeFalco, Jeanine A.; Rowe, Jonathan P.; Paquette, Luc; Georgoulas-Sherry, Vasiliki; Brawner, Keith; Mott, Bradford W.; Baker, Ryan S.; Lester, James C. – International Journal of Artificial Intelligence in Education, 2018
Tutoring systems that are sensitive to affect show considerable promise for enhancing student learning experiences. Creating successful affective responses requires considerable effort both to detect student affect and to design appropriate responses to affect. Recent work has suggested that affect detection is more effective when both physical…
Descriptors: Psychological Patterns, Stress Variables, Educational Games, Intelligent Tutoring Systems
Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2018
Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…
Descriptors: Reading Comprehension, Writing Strategies, Writing Instruction, Essays
Natsis, Antonis; Papadopoulos, Pantelis M.; Obwegeser, Nikolaus – Journal of Information Technology Education: Research, 2018
Aim/Purpose: This study aimed to explore whether students' self-reported use of various learning strategies affected their perceptions on different course activities as well as their perceived performance in terms of both cognitive learning outcomes and general skills. Background: In a highly active learning environment that incorporates research…
Descriptors: Information Systems, Student Attitudes, Learning Strategies, Skill Development
Watt, Sarah J.; Wasburn-Moses, Leah – Mentoring & Tutoring: Partnership in Learning, 2018
The mathematics achievement gap in special education is a chronic and significant challenge for the field. The need for improved teacher preparation in mathematics is crucial in addressing this gap. This study examines a capstone experience in higher level mathematics tutoring for preservice teachers. Results indicate that the experience was…
Descriptors: Mathematics Instruction, Cooperative Learning, Tutoring, Models
Likens, Aaron D.; McCarthy, Kathryn S.; Allen, Laura K.; McNamara, Danielle D. – Grantee Submission, 2018
Self-explanations are commonly used to assess on-line reading comprehension processes. However, traditional methods of analysis ignore important temporal variations in these explanations. This study investigated how dynamical systems theory could be used to reveal linguistic patterns that are predictive of self-explanation quality. High school…
Descriptors: Reading Comprehension, High School Students, Content Area Reading, Sciences
Brooke Soles, Editor; Theresa Meyerott, Editor – IGI Global, 2025
Diverse leadership in education is crucial for fostering inclusive and equitable learning environments across all levels of the education system. From K-12 schools to higher education institutions, leadership plays a pivotal role in shaping policies, curriculum, and school culture. Embracing diversity in leadership enhances the overall educational…
Descriptors: Elementary Secondary Education, Leadership Role, Diversity, Leadership Styles
Dincer, Ali – IAFOR Journal of Education, 2020
This study aims to understand the extent to which English as a foreign language learners use technology for their autonomous language learning beyond the classroom. With a cross-sectional survey design approach, the study focuses on learner characteristics. It first investigates the existing language learner profiles of 512 English major…
Descriptors: Informal Education, Information Technology, English (Second Language), Second Language Instruction
Yung, Kevin Wai Ho – Journal of Multilingual and Multicultural Development, 2020
Access to private tutoring, or shadow education, significantly contributes to the increasing disparities in the attainment of language learners from different family backgrounds worldwide. In ESL/EFL contexts, many students subscribe to English private tutoring (EPT) in hopes of getting good English results in high-stakes examinations to secure a…
Descriptors: Social Mobility, Tutoring, Second Language Learning, Second Language Instruction
Zoch, Melody; He, Ye – Teacher Educator, 2020
How to prepare teachers to work with culturally and linguistically diverse students and families is an important aspect of teacher education as classrooms continue to diversify. Community-based approaches to teaching offer promising strategies for addressing this need. This article offers one example of an English as a Second Language literacy…
Descriptors: Cultural Background, English (Second Language), Second Language Learning, Teaching Methods
Troussas, Christos; Espinosa, Kurt Junshean; Virvou, Maria – Informatics in Education, 2016
Social networks are progressively being considered as an intense thought for learning. Particularly in the research area of Intelligent Tutoring Systems, they can create intuitive, versatile and customized e-learning systems which can advance the learning process by revealing the capacities and shortcomings of every learner and by customizing the…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Computer Software
Bull, Susan; Kay, Judy – International Journal of Artificial Intelligence in Education, 2016
The SMILI? (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was for SMILI? to provide researchers with a systematic way to describe, compare and critique OLMs. We expected it to highlight those areas where there…
Descriptors: Educational Research, Data Collection, Data Analysis, Intelligent Tutoring Systems
Murray, Tom – International Journal of Artificial Intelligence in Education, 2016
Intelligent Tutoring Systems authoring tools are highly complex educational software applications used to produce highly complex software applications (i.e. ITSs). How should our assumptions about the target users (authors) impact the design of authoring tools? In this article I first reflect on the factors leading to my original 1999 article on…
Descriptors: Usability, Programming, Computer Software, Intelligent Tutoring Systems
Walvoord, Mark E.; Pleitz, Jacob D. – Learning Assistance Review, 2016
Our study used a case-control matching design to assess the influence of a voluntary tutoring program in improving first-year students' Grade Point Averages (GPA). To evaluate program effectiveness, we applied case-control matching to obtain 215 pairs of students with or without participation in tutoring, but matched on high school GPA and…
Descriptors: College Freshmen, Matched Groups, Sampling, Tutoring
Larson, James R., Jr.; Juszczak, Andrew; Engel, Kathryn – Journal of Applied Research in Intellectual Disabilities, 2016
Background: This study compared the effectiveness of computer-assisted instruction to that of one-on-one tutoring for teaching people with mild and moderate cognitive disabilities when both training methods are designed to take account of the specific mental deficits most commonly found in cognitive disability populations. Method: Fifteen…
Descriptors: Computer Assisted Instruction, Tutoring, Comparative Analysis, Instructional Effectiveness

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