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Olney, Andrew M.; Bakhtiari, Dariush; Greenberg, Daphne; Graesser, Art – International Educational Data Mining Society, 2017
Adaptive learning technologies hold great promise for improving the reading skills of adults with low literacy, but adults with low literacy skills typically have low computer literacy skills. In order to determine whether adults with low literacy skills would be able to use an intelligent tutoring system for reading comprehension, we adapted a 44…
Descriptors: Computer Literacy, Reading Comprehension, Intelligent Tutoring Systems, Correlation
Dusseault, Bree; Pitts, Christine; Lake, Robin – Center on Reinventing Public Education, 2021
After eighteen months of school closure and disrupted learning, civic leaders, researchers, and educational leaders are getting a clearer picture of how students fared through the pandemic, and what new reality school systems face as they return to in-person schooling in 2021-22. Increases in community infection rates and parent hesitancy have…
Descriptors: Learning, Well Being, COVID-19, Pandemics
Johnson, W. Lewis; Lester, James C. – International Journal of Artificial Intelligence in Education, 2016
Johnson et al. ("International Journal of Artificial Intelligence in Education," 11, 47-78, 2000) introduced and surveyed a new paradigm for interactive learning environments: animated pedagogical agents. The article argued for combining animated interface agent technologies with intelligent learning environments, yielding intelligent…
Descriptors: Teaching Methods, Intelligent Tutoring Systems, Outcomes of Education, Computer Assisted Instruction
Watchorn, Vince; Willingham, Daniel T. – Independent School, 2016
Opportunities, not obligations. That is how Providence Country Day School (Rhode Island) characterizes its daily one-hour "Community Time." The block, from 9:25 to 10:25 a.m., is used chiefly for students to partake in activities of their own making--as a daily lesson in the value of students taking charge of their own education. On any…
Descriptors: Independent Study, School Schedules, Student Centered Learning, Learning Activities
Esquincalha, Agnaldo da C.; Abar, Celina A. A. P. – Teaching Mathematics and Its Applications, 2016
We aimed at investigating knowledge revealed by the tutors of a continuing education course for mathematics teachers offered at a distance. Initially, we observed the work of 32 tutors over a year, in order to typify their interventions in discussion forums with course participants. From the results, we offered training to a new group of tutors,…
Descriptors: Mathematics Teachers, Tutors, Continuing Education, Pedagogical Content Knowledge
Al kharusi, Dhafra – Journal of Education and Practice, 2016
This paper attempts to provide an answer to the question: What positive impacts does peer tutoring have upon the peer tutors at SQU? It is conducted in the LC Tutorial Centre at Sultan Qaboos University where senior English language students are hired to tutor their peers who are struggling with the language. It sheds light on the peer tutors'…
Descriptors: Foreign Countries, Peer Teaching, Tutoring, English (Second Language)
Rodgers, Emily; D'Agostino, Jerome V.; Harmey, Sinéad J.; Kelly, Robert H.; Brownfield, Katherine – Reading Research Quarterly, 2016
In this study, we used Reading Recovery as the context to examine the relationship between three types of contingent teaching (temporal, instructional, and domain contingency) and student outcomes in a one-to-one literacy tutoring setting. We first created a National Teacher Effectiveness Index for all Reading Recovery teachers in the country and…
Descriptors: Scaffolding (Teaching Technique), Emergent Literacy, Intervention, Literacy
an de Sande, Brett – International Educational Data Mining Society, 2016
Learning curves have proven to be a useful tool for understanding how a student learns a given skill as they progress through a curriculum. A learning curve for a given Knowledge Component (KC) is a plot of some measure of competence as a function of the number of opportunities the student has had to apply that KC. Consider the case where each…
Descriptors: Learning Processes, Knowledge Level, Problem Solving, Homework
De Backer, Liesje; Van Keer, Hilde; Valcke, Martin – Higher Education: The International Journal of Higher Education Research, 2015
Although successful learning in university education can be advanced by students' competence to self-regulate their learning, students often possess insufficient metacognitive regulation skills to regulate their learning adequately. The present study investigates changes in university students' adoption of metacognitive regulation after…
Descriptors: College Students, Metacognition, Peer Teaching, Tutoring
Noguchi, Yasuhiro; Kogure, Satoru; Konishi, Tatsuhiro; Itoh, Yukihiro – Research and Practice in Technology Enhanced Learning, 2015
Exercises with well-designed similar problem sets are effective in classrooms. In this case, teachers design similar problem sets related to the educational effects they have targeted. However, to design these "related problem sets (RPSs)" is not so easy for teachers, especially for students who are studying the problems. To support…
Descriptors: Problem Sets, Problem Solving, Instructional Design, Intelligent Tutoring Systems
Vonlintel, Drew James – ProQuest LLC, 2015
This dissertation examines the efficacy of peer tutor training in adapted physical education (APE). A peer tutor evaluation form was created to assess the skills of untrained peer tutors (n = 12). Once skills were assessed, a peer tutor training protocol was created. The protocol was implemented in a peer tutor training program. After peer tutors…
Descriptors: Peer Teaching, Tutoring, Tutors, Severe Disabilities
Mostafavi, Behrooz; Liu, Zhongxiu; Barnes, Tiffany – International Educational Data Mining Society, 2015
Deep Thought is a logic tutor where students practice constructing deductive logic proofs. Within Deep Thought is a data-driven mastery learning system (DDML), which calculates student proficiency based on rule scores weighted by expert-decided weights in order to assign problem sets of appropriate difficulty. In this study, we designed and tested…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Mathematical Logic, Mastery Learning
Cooper, Katelyn M.; Ding, Lu; Stephens, Michelle D.; Chi, Michelene T. H.; Brownell, Sara E. – CBE - Life Sciences Education, 2018
Instructor-generated videos have become a popular way to engage students with material before a class, yet this is a relatively unexplored area of research. There is support for the use of videos in which instructors tutor students, but few studies have been conducted within the context of a classroom. In this study, conducted in a…
Descriptors: Video Technology, Physiology, Randomized Controlled Trials, Teacher Developed Materials
Fuchs, Douglas; Hendricks, Emma; Walsh, Meagan E.; Fuchs, Lynn S.; Gilbert, Jennifer K.; Zhang Tracy, Wen; Patton, Samuel, III; Davis-Perkins, Nicole; Kim, Wooliya; Elleman, Amy M.; Peng, Peng – Learning Disabilities Research & Practice, 2018
We conducted a 14-week experimental study of 2 versions of a relatively comprehensive RC intervention that involved 50 classroom teachers, 15 tutors, and 116 children drawn in equal proportions from grades 3 and 5 in 13 schools in a large urban school district. Students were randomly assigned in equal numbers to the two tutoring conditions and a…
Descriptors: Multidimensional Scaling, Reading Comprehension, Reputation, Reading Programs
Walkington, Candace; Bernacki, Matthew L. – Journal of Experimental Education, 2018
Instruction can be made relevant to students when it draws upon and utilizes their interests, experiences, and "funds of knowledge" in productive ways to support classroom learning. This approach has been referred to as "context personalization." In this paper, we discuss the cognitive basis of personalization interventions,…
Descriptors: Individualized Instruction, Instructional Design, Relevance (Education), Cognitive Processes

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