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Boz Yaman, Burcak – International Journal of Education in Mathematics, Science and Technology, 2019
This study aims to investigate the properties of peer tutoring of first year engineering students on a Calculus-I course. Five dyads are constructed with different properties, and eight volunteer students. The students met regularly and studied calculus together for two months in technology-rich classrooms. To identify the properties and structure…
Descriptors: Peer Teaching, Tutoring, Calculus, Mathematics Instruction
Taub, Michelle; Azevedo, Roger – International Journal of Artificial Intelligence in Education, 2019
The goal of this study was to use eye-tracking and log-file data to investigate the impact of prior knowledge on college students' (N = 194, with a subset of n = 30 for eye tracking and sequence mining analyses) fixations on (i.e., looking at) self-regulated learning-related areas of interest (i.e., specific locations on the interface) and on the…
Descriptors: Prior Learning, Eye Movements, Metacognition, Learning Processes
Campbell, Anne; Gallen, Anne-Marie; Jones, Mark H.; Walshe, Ann – Open Learning, 2019
As part of a wider study into perceptions that different university stakeholders have of tutorials, we investigated the UK Open University model for tuition through a process of semi-structured interviews with a self-selecting set of STEM tutors. The aim of the study was to elucidate perceptions that tutors have of the role and purpose of…
Descriptors: STEM Education, Tutors, Tutorial Programs, Tutoring
Szatkowski, Hannah Dupre – ProQuest LLC, 2019
This qualitative case study explores the processes that occurred when pre-service teachers in an undergraduate elementary education literacy methods course were asked to interact with contextually challenging texts in a comprehension module and implement comprehension instruction in a tutoring field experience placement. The goal was to understand…
Descriptors: Preservice Teachers, Reading Comprehension, Reading Instruction, Tutoring
Cai, Zhiqiang; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2019
Conversational Intelligent Tutoring Systems (ITSs) are expensive to develop. While simple online courseware could be easily authored by teachers, the authoring of conversational ITSs usually involves a team of experts with different expertise, including domain experts, linguists, instruction designers, programmers, artists, computer scientists,…
Descriptors: Programming, Intelligent Tutoring Systems, Courseware, Educational Technology
Zhang, Chuankai; Huang, Yanzun; Wang, Jingyu; Lu, Dongyang; Fang, Weiqi; Stamper, John; Fancsali, Stephen; Holstein, Kenneth; Aleven, Vincent – International Educational Data Mining Society, 2019
"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…
Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria
Gortazar, Lucas; Hupkau, Claudia; Roldán, Antonio – Centre for Economic Performance, 2023
We provide evidence from a randomized controlled trial on the effectiveness of a novel, 100-percent online math tutoring program, targeted at secondary school students from highly disadvantaged neighborhoods. The intensive, eight-week-long program was delivered by qualified math teachers in groups of two students during after-school hours. The…
Descriptors: Tutoring, Computer Mediated Communication, Electronic Learning, At Risk Students
Wang, Shuai; Christensen, Claire; Cui, Wei; Tong, Richard; Yarnall, Louise; Shear, Linda; Feng, Mingyu – Interactive Learning Environments, 2023
Adaptive learning systems personalize instruction to students' individual learning needs and abilities. Such systems have shown positive impacts on learning. Many schools in the United States have adopted adaptive learning systems, and the rate of adoption in China is accelerating, reaching almost 2 million unique users for one product alone in…
Descriptors: Comparative Analysis, Teaching Methods, Intelligent Tutoring Systems, Foreign Countries
Chim, Vutheavy; Soeung, Sopha – Journal of International and Comparative Education, 2023
This study compares private tuition (PT) patterns and perceptions regarding teaching and learning in public schools versus PT classes in urban and rural Cambodia. Using quantitative data from 108 tutors and 165 12th graders, followed by 21 interviews that included principals, we find that urban students are the main drivers of PT; they trust the…
Descriptors: Foreign Countries, Grade 12, High School Teachers, High School Students
Rebecca D. Silverman; Kristin Keane; Hsiaolin Hsieh; Emily Southerton; Renee C. Scott; Emma Brunskill – Journal of Educational Research, 2023
In the midst of the pandemic, we implemented and investigated short-term interventions to support K-3 reading. Specifically, we studied a text messaging program that provided caregivers with tips on supporting K-3 reading. Additionally, we studied combining the text messaging program for caregivers with one-on-one remote tutoring for their…
Descriptors: Early Intervention, Elementary School Students, Kindergarten, Grade 1
Cheng, Li; Umapathy, Karthikeyan; Rehman, Muhammad; Ritzhaupt, Albert; Antonyan, Kristine; Shidfar, Poorya; Nichols, James; Lee, Minyoung; Abramowitz, Brian – Journal of Interactive Learning Research, 2023
The purpose of this research study is to design, develop, and validate an instrument for measuring undergraduate students' conceptions of artificial intelligence in education. Following systematic procedures, our team created a conceptual framework through an extant literature review and used it to create an initial item pool of 48-items across…
Descriptors: Undergraduate Students, Knowledge Level, Artificial Intelligence, Technology Uses in Education
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Heng-Sheng Lin; Chih-Yun Chiang; Cheng-Wei Huang; Chao-Cian Wu; Shuo-Jun Hong – International Journal of Game-Based Learning, 2025
Taiwanese students learn Chinese from 3 years old using Bopomofo (Zhuyin Fuhao), but they still struggle with spelling and reading, even in middle school. Thus, we guided students still struggling to read Chinese text to use their logical skills and creativity to incorporate the Bopomofo phonetic alphabet into the Rummikub strategy board game.…
Descriptors: Foreign Countries, Learning Motivation, Active Learning, Feedback (Response)
Viktor Wang, Editor – IGI Global, 2025
Artificial Intelligence (AI) integration in andragogical education offers significant enhancements to the learning experience for adult learners. By utilizing AI-powered platforms, instructors can provide personalized learning paths that adapt to the unique needs, interests, and goals of each individual. These systems can analyze performance data…
Descriptors: Andragogy, Artificial Intelligence, Computer Software, Technology Integration
Li Wang; Jie Huang; Wenqi Ye; Jun Lei – SAGE Open, 2025
This study adopted both variable- and person-centered methods to investigate Chinese primary school students' foreign language enjoyment (FLE) and foreign language classroom anxiety (FLCA) as well as factors associated with these emotions, such as language proficiency, gender, grade level, school type, access to foreign teachers and after-school…
Descriptors: Foreign Countries, Anxiety, Second Language Instruction, Second Language Learning

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