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Chapman, Jared R.; Kohler, Tanner B.; Gedeborg, Sam – Journal of Educational Computing Research, 2023
Research on gamification's effects in educational environments has been a growing domain in recent years. As research has demonstrated the power of gamified systems to effectively motivate learners in educational settings, it has also become clear that not all individuals are motivated in the same way, or to the same extent, by the same gamified…
Descriptors: Educational Technology, Gamification, Student Motivation, Student Attitudes
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Liu, Xinyang; Ardakani, Saeid Pourroostaei – Education and Information Technologies, 2022
The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Artificial Intelligence
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LaBrot, Zachary C.; DeFouw, Emily; Eldridge, Morgan – Education and Treatment of Children, 2021
Several strategies (e.g., performance feedback, video models, tactile prompting) have been found to be effective for improving preservice teachers' use of foundational behavior management skills. However, there is limited research examining these training strategies for promoting preservice clinicians' use of evidence-based behavior management…
Descriptors: School Psychology, Graduate Students, Program Effectiveness, Positive Reinforcement
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Frey, Renato; Rieskamp, Jörg; Hertwig, Ralph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
In nonmonotonic decision problems, the magnitude of outcomes can both increase and decrease over time depending on the state of the decision problem. These increases and decreases may occur repeatedly and result in a variety of possible outcome distributions. In many previously investigated sequential decision problems, in contrast, outcomes (or…
Descriptors: Risk, Learning Processes, Reinforcement, Decision Making
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Patchan, Melissa M.; Schunn, Christian D.; Correnti, Richard J. – Journal of Educational Psychology, 2016
Although feedback is often seen as a critical component of the learning process, many open questions about how specific feedback features contribute to the effectiveness of feedback remain--especially in regards to peer feedback of writing. Nelson and Schunn (2009) identified several important features of peer feedback in their nature of feedback…
Descriptors: Peer Evaluation, Revision (Written Composition), Regression (Statistics), Student Improvement
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Pastore, Donna L. – Journal of Faculty Development, 2013
The purpose of this study was to determine the merit and applicability of the mid-career faculty development model proposed by Baldwin and Chang (2006). A total of 7 associate and 10 full professors participated in semi-structured interviews. Categories were developed from an inductive analysis. The results showed positive support for the model…
Descriptors: Faculty Development, Models, College Faculty, Reflection
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Hill, Doris Adams; Flores, Margaret M. – Journal of Positive Behavior Interventions, 2014
The authors modeled programwide positive behavior interventions and supports (PBIS) principles to 26 preservice teachers during consolidated yearly extended school year (ESY) services delivered to elementary students from four school districts. While PBIS were in place for preservice teachers to implement with students, a similar system was…
Descriptors: Preservice Teachers, Behavior Modification, Intervention, Extended School Year
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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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