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Jesús Pérez; Eladio Dapena; Jose Aguilar – Education and Information Technologies, 2024
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reinforcement, Difficulty Level
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MacIntyre, Peter; Gregersen, Tammy – Studies in Second Language Learning and Teaching, 2012
The imagination is powerful, in part, because of the emotions that can be activated by imagining future states. Imagined future states are a key feature of the L2 self-system proposed by Dornyei, and emotion may be the key to the motivational quality of the imagined future self. In particular, this paper focuses on positive anticipated and…
Descriptors: Psychological Patterns, Emotional Response, Imagination, Second Language Learning
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Rock, Marcia L.; Schumacker, Randall E.; Gregg, Madeleine; Howard, Pamela W.; Gable, Robert A.; Zigmond, Naomi – Teacher Education and Special Education, 2014
In this study, using mixed methods, we investigated the longer term effects of eCoaching through advanced online bug-in-ear (BIE) technology. Quantitative data on five dependent variables were extracted from 14 participants' electronically archived video files at three points in time--Spring 1 (i.e., baseline, which was the first semester of…
Descriptors: Special Education, Preservice Teachers, Educational Technology, Feedback (Response)
Carr, Edward G. – 1979
Aggression, tantrums, and self-injury can function as escape behaviors, allowing children to terminate aversive demand (teaching) situations. In one group of six psychotic children, these behaviors were frequent in demand situations, and rare in nondemand situations. Further, when stimuli correlated with the termination of demands were presented,…
Descriptors: Aggression, Behavior Change, Behavior Problems, Child Psychology
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Gena, Angeliki; And Others – Journal of Applied Behavior Analysis, 1996
A study of 4 youths (ages 11-18) with autism examined the effectiveness of teaching appropriate affective behavioral responses. Participants were described by teachers as having flat and inappropriate affect. Treatment consisted of modeling, prompting, and reinforcement. The combination of an error-correction procedure and contingent delivery of…
Descriptors: Adolescents, Affective Behavior, Autism, Behavior Change