Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 10 |
Since 2006 (last 20 years) | 26 |
Descriptor
Cues | 31 |
Data Collection | 31 |
Intervention | 8 |
Teaching Methods | 8 |
Data Analysis | 7 |
Educational Technology | 7 |
Foreign Countries | 7 |
Models | 7 |
Autism | 6 |
Decision Making | 6 |
Learning Processes | 6 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Administrators | 1 |
Parents | 1 |
Practitioners | 1 |
Teachers | 1 |
Location
Germany | 3 |
United States | 3 |
Australia | 2 |
Brazil | 2 |
Italy | 2 |
Asia | 1 |
China | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
Estonia | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zhang, Mo; Guo, Hongwen; Liu, Xiang – International Educational Data Mining Society, 2021
We present an empirical study on the use of keystroke analytics to capture and understand how writers manage their time and make inferences on how they allocate their cognitive resources during essay writing. The results suggest three distinct longitudinal patterns of writing process that describe how writers approach an essay task in a writing…
Descriptors: Keyboarding (Data Entry), Learning Analytics, Data Collection, Cognitive Processes
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Krefeld-Schwalb, Antonia; Donkin, Chris; Newell, Ben R.; Scheibehenne, Benjamin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…
Descriptors: Models, Cues, Probability, Experiments
Gist, Corinne – TEACHING Exceptional Children, 2019
Deficits in executive functions can lead to many difficulties for students with disabilities. Research has shown a strong correlation between deficits in executive functions and deficits in academic performance and social-emotional functioning. With state testing requirements, response to intervention (RTI), and positive behavior interventions and…
Descriptors: Executive Function, Students with Disabilities, Student Behavior, Behavior Modification
Paassen, Benjamin; Hammer, Barbara; Price, Thomas William; Barnes, Tiffany; Gross, Sebastian; Pinkwart, Niels – Journal of Educational Data Mining, 2018
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next. However, engineering such next-step hints manually or via an expert model becomes infeasible if the space of possible states is too large. Therefore, several approaches have emerged to infer next-step hints automatically,…
Descriptors: Intelligent Tutoring Systems, Cues, Educational Technology, Technology Uses in Education
Sonnenberg, Christoph; Bannert, Maria – Journal of Learning Analytics, 2015
According to research examining self-regulated learning (SRL), we regard individual regulation as a specific sequence of regulatory activities. Ideally, students perform various learning activities, such as analyzing, monitoring, and evaluating cognitive and motivational aspects during learning. Metacognitive prompts can foster SRL by inducing…
Descriptors: Metacognition, Cues, Control Groups, Outcomes of Education
Hugh, Maria Lemler; Conner, Carlin; Stewart, Jennifer – Office of Special Education Programs, US Department of Education, 2018
Students who are slow to respond to traditional instruction and intervention require intensified intervention. Visual Activity Schedules (VAS) are an evidence-based type of visual support that provide sequential organization of the steps for an activity or skill. VAS can be aligned with individual student needs, including behavioral support. VAS…
Descriptors: Teaching Methods, Intervention, Autism, Pervasive Developmental Disorders
Jazby, Dan – Mathematics Education Research Group of Australasia, 2014
Research into human decision making (DM) processes from outside of education paint a different picture of DM than current DM models in education. This pilot study assesses the use of critical decision method (CDM)--developed from observations of firefighters' DM -- in the context of primary mathematics teachers' in-class DM. Preliminary results…
Descriptors: Mathematics Teachers, Elementary School Teachers, Primary Education, Decision Making
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
Hsu, Ying-Shao; Yen, Miao-Hsuan; Chang, Wen-Hua; Wang, Chia-Yu; Chen, Sufen – International Journal of Science and Mathematics Education, 2016
There is an increasing interest in conducting reading-related studies in science education using a self-regulated learning (SRL) lens. This exploration involved a content analysis of 34 articles (38 studies in total) in highly regarded journals from 1998 to 2012 using an SRL interpretative framework to reveal critical features and relationships in…
Descriptors: Science Education, Content Analysis, Journal Articles, Reading Materials
Griffin, W. – National Professional Development Center on Autism Spectrum Disorders, 2017
A hallmark of Autism spectrum disorder (ASD) is difficulties with social communication, and some learners with ASD experience additional deficits in expressive and/or receptive language that impair their ability to interact with others. However, a strength observed in many learners with ASD is responding to visual cues and structure. The use of…
Descriptors: Evidence Based Practice, Scripts, Autism, Pervasive Developmental Disorders
Kuo, Yung-Lung; Lee, Jiann-Shu; Hsieh, Min-Chai – International Journal of Distance Education Technologies, 2014
Eye and head movements evoked in response to obvious visual attention shifts. However, there has been little progress on the causes of absent-mindedness so far. The paper proposes an attention awareness system that captures the conditions regarding the interaction of eye gaze and head pose under various attentional switching in computer classroom.…
Descriptors: Video Technology, Eye Movements, Visual Stimuli, Human Body
Sagoe, Dominic – Qualitative Report, 2012
Over the past few years, the focus group method has assumed a very important role as a method for collecting qualitative data in social and behavioural science research. This article elucidates theoretical and practical problems and prospects associated with the use of focus groups as a qualitative research method in social and behavioural science…
Descriptors: Focus Groups, Behavioral Science Research, Social Science Research, Qualitative Research
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Cognitive and Representational Cues for Assigning Weight to Numerical Information in Decision-Making
Rinne, Luke Frederick – ProQuest LLC, 2010
Incorporating relevant numerical information into decision-making is a fundamental and important aspect of numeracy. However, the process through which weight is assigned to particular numerical values is not well understood. The central theory proposed in this dissertation is that the weight assigned to numerical information may be conceptualized…
Descriptors: Cues, Intervals, Numeracy, Probability