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Caruso, Megan; Peacock, Candace E.; Southwell, Rosy; Zhou, Guojing; D'Mello, Sidney K. – International Educational Data Mining Society, 2022
What can eye movements reveal about reading, a complex skill ubiquitous in everyday life? Research suggests that gaze can reflect short-term comprehension for facts, but it is unknown whether it can measure long-term, deep comprehension. We tracked gaze while 147 participants read long, connected, informative texts and completed assessments of…
Descriptors: Eye Movements, Reading Comprehension, Inferences, Prediction
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Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – Journal of Educational Data Mining, 2022
Instant feedback plays a vital role in promoting academic achievement and student success. In practice, however, delivering timely feedback to students can be challenging for instructors for a variety of reasons (e.g., limited teaching resources). In many cases, feedback arrives too late for learners to act on the advice and reinforce their…
Descriptors: Student Projects, Learning Analytics, Intelligent Tutoring Systems, Feedback (Response)
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Shin, Dongjo – International Journal of Science and Mathematics Education, 2022
Intelligent tutoring systems (ITSs) have drawn researchers' attention as a means of providing personalized learning content, adaptive feedback, and instructional strategies based on students' characteristics and learning needs. Few studies, however, have explored how prospective and practicing teachers integrate ITSs into their lessons. This study…
Descriptors: Intelligent Tutoring Systems, Preservice Teachers, Student Attitudes, Educational Technology
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Chu, Hui-Chun; Hwang, Gwo-Haur; Tu, Yun-Fang; Yang, Kai-Hsiang – Australasian Journal of Educational Technology, 2022
Artificial intelligence (AI) in higher education has proven to be a useful learning technology; it can help learners achieve positive learning outcomes in the learning environment and can also enable teachers to better understand learners' learning status and further improve their teaching strategies. This study reviewed the top 50 AI in higher…
Descriptors: Artificial Intelligence, Higher Education, Trend Analysis, Educational Research
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Yung, Kevin Wai Ho; Zeng, Chun – Language and Education, 2022
The shift from meritocracy to parentocracy in contemporary societies has resulted in a situation where children's educational success increasingly depends on parents' wealth and wishes rather than children's ability and efforts. Better-off parents can afford extra learning activities to increase children's competitive edge. This phenomenon is…
Descriptors: English (Second Language), Second Language Instruction, Lecture Method, Tutoring
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Oikarinen, Riitta Maarit; Oikarinen, Juho Kaleva; Havu-Nuutinen, Sari; Pöntinen, Susanna – Education and Information Technologies, 2022
Technology-enhanced Reciprocal Peer Tutoring (RPT) was carried out with Finnish, nine to ten year-old primary school students (N=40). The RPT as a method of paired mathematics placed specific emphasis on electrical mathematical writing and drawing. Little is known about the important area of implementing digital mathematical skills at the primary…
Descriptors: Peer Teaching, Tutoring, Cooperation, Mathematics Instruction
White, Sara; Groom-Thomas, Leiah; Loeb, Susanna – Annenberg Institute for School Reform at Brown University, 2022
This study synthesizes existing research on the implementation of tutoring programs which we define as one-to-one or small-group instruction in which a human tutor supports students grades K-12 in an academic subject area. Tutoring has emerged as an especially promising strategy for supporting students' academic success with strong causal evidence…
Descriptors: Tutoring, After School Education, Tutorial Programs, Program Implementation
EdChoice, 2022
This poll was conducted between August 15-16, 2022 among a sample of 2,200 adults. The interviews were conducted online and the data were weighted to approximate a target sample of adults based on gender, educational attainment, age, race, and region. Among the key findings are: (1) More than two-thirds of school parents have heard of teacher…
Descriptors: Adults, Parents, Public Opinion, Opinions
Natalie K. Haggerty – ProQuest LLC, 2022
Students who do not read proficiently by the end of first grade are likely to remain poor readers and suffer academic difficulties across all subjects during their school career (Moats, 2017). Therefore, early identification and intervention of reading difficulties are essential for students' academic success (Partanen & Siegel, 2014; Vadasy…
Descriptors: Electronic Learning, Curriculum Implementation, Evidence Based Practice, Reading Aloud to Others
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Hannah Smith; Avery H. Closser; Erin Ottmar; Jenny Yun-Chen Chan – Applied Cognitive Psychology, 2022
Worked examples are effective learning tools for algebraic equation solving. However, they are typically presented in a static concise format, which only displays the major derivation steps in one static image. The current work explores how worked examples that vary in their extensiveness (i.e., detail) and degree of dynamic presentation (i.e.,…
Descriptors: Algebra, Mathematics Instruction, Equations (Mathematics), Problem Solving
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Maniktala, Mehak; Cody, Christa; Barnes, Tiffany; Chi, Min – International Journal of Artificial Intelligence in Education, 2020
Within intelligent tutoring systems, considerable research has investigated hints, including how to generate data-driven hints, what hint content to present, and when to provide hints for optimal learning outcomes. However, less attention has been paid to "how" hints are presented. In this paper, we propose a new hint delivery mechanism…
Descriptors: Intelligent Tutoring Systems, Cues, Computer Interfaces, Design
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Lemay, David John; Doleck, Tenzin – Education and Information Technologies, 2020
Massive open online courses (MOOCs) hold the promise of democratizing the learning process. However, providing effective feedback has proven hard to offer at scale since most methods require a teacher or tutor. Leveraging big data in MOOCs offers a mechanism to develop predictive models that can inform computer-based pedagogical tutors. We review…
Descriptors: Grades (Scholastic), Prediction, Online Courses, Video Technology
Fancsali, Stephen E.; Holstein, Kenneth; Sandbothe, Michael; Ritter, Steven; McLaren, Bruce M.; Aleven, Vincent – Grantee Submission, 2020
Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…
Descriptors: Artificial Intelligence, Automation, Persistence, Intelligent Tutoring Systems
Guojing Zhou – ProQuest LLC, 2020
In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…
Descriptors: Educational Policy, Problem Solving, Learning Processes, Competence
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Vanichvasin, Patchara – International Education Studies, 2021
The research aimed to: 1) develop the chatbot; 2) evaluate its effectiveness; and 3) investigate its effects on students' research knowledge. The sample consisted of 36 Thai university students. The research instruments consisted of: 1) the chatbot; 2) an evaluation form; 3) an effectiveness questionnaire; and 4) research tests. Data analysis used…
Descriptors: Educational Technology, Computer Mediated Communication, Instructional Effectiveness, Research Skills
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