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Showing 1 to 15 of 31 results Save | Export
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E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
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Pieter Vanneste; Kim Dekeyser; Luis Alberto Pinos Ullauri; Dries Debeer; Frederik Cornillie; Fien Depaepe; Annelies Raes; Wim Van den Noortgate; Sameh Said-Metwaly – Journal of Computer Assisted Learning, 2024
Background: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives: This study sought to explore how varying the instructional support in AR can affect performance-related behaviours of…
Descriptors: Computer Simulation, Artificial Intelligence, Cognitive Ability, Student Behavior
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Singla, Adish; Theodoropoulos, Nikitas – International Educational Data Mining Society, 2022
Block-based visual programming environments are increasingly used to introduce computing concepts to beginners. Given that programming tasks are open-ended and conceptual, novice students often struggle when learning in these environments. AI-driven programming tutors hold great promise in automatically assisting struggling students, and need…
Descriptors: Programming, Computer Science Education, Task Analysis, Introductory Courses
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Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
Stichter, Janine P; Malugen, Emily; Herzog, Melissa; O'Donnell, Rose; Kilgus, S; Schoemann, Alexander M. – Grantee Submission, 2018
Many populations served by special education, including those identified with autism, emotional impairments, or students identified as not ready to learn, experience social competence deficits. The Social Competence Intervention-Adolescents' (SCI-A) methods, content, and materials were designed to be maximally pertinent and applicable to the…
Descriptors: Interpersonal Competence, Intervention, Randomized Controlled Trials, Program Effectiveness
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Ganimian, Alejandro J. – Educational Evaluation and Policy Analysis, 2020
This is one of the first evaluations of a "growth-mindset" intervention at scale in a developing country. I randomly assigned 202 public secondary schools in Salta, Argentina, to a treatment group in which Grade 12 students were asked to read about the malleability of intelligence, write a letter to a classmate, and post their letters in…
Descriptors: Intervention, Foreign Countries, Grade 12, Secondary School Students
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Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Barbieri, Christina A.; Rodrigues, Jessica; Dyson, Nancy; Jordan, Nancy C. – Grantee Submission, 2019
The effectiveness of an experimental middle school fraction intervention was evaluated. The intervention was centered on the number line and incorporated key principles from the science of learning. Sixth graders (N = 51) who struggled with fraction concepts were randomly assigned at the student level to the experimental intervention (n = 28) or…
Descriptors: Fractions, Mathematics Instruction, Intervention, Mathematical Concepts
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Begeer, Sander; Fink, Elian; van der Meijden, Sandra; Goossens, Frits; Olthof, Tjeert – Autism: The International Journal of Research and Practice, 2016
This study examined the frequency of bullying, victimisation and defending behaviours among children with autism spectrum disorder and normal intelligence, using both self-report and peer-report information. Peer-report and self-report data were collected on a single classroom of 26 early adolescent boys attending a special school for children…
Descriptors: Foreign Countries, Bullying, High School Students, Autism
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Dempsey, Ian; Valentine, Megan; Colyvas, Kim – International Journal of Disability, Development and Education, 2016
Determining the effectiveness of many special education interventions is most difficult because of the practical and ethical limitations associated with assigning participants to a control or non-treated group. Using Longitudinal Study of Australian Children data, this article utilised eight different propensity score analysis methods to determine…
Descriptors: Foreign Countries, Special Education, Student Needs, Longitudinal Studies
Orkin, Melissa – ProQuest LLC, 2013
Beginning in elementary school, those students who struggle to acquire basic reading skills tend to demonstrate a stronger tendency towards task avoidance. As a result of their avoidant behaviors, students' reading ability progresses at a slower rate, which leads to further task evasion. The current study addressed task avoidance among…
Descriptors: Reading Difficulties, Student Behavior, Reading Skills, Intervention
Dean, Michelle Carol – ProQuest LLC, 2013
This dissertation contains two studies, which are intended to expand our current knowledge about girls with ASD without intellectual disability. The first study examined sex-differences in ASD symptom endorsement and coexisting internalizing and externalizing behaviors. The second study explored the social behaviors of boys and girls with ASD at…
Descriptors: Females, Autism, Pervasive Developmental Disorders, Gender Differences
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Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Lin, Chien-Yu; Hsu, Hsiu-Ling – Interactive Learning Environments, 2015
This study focused on an intelligent robot which was viewed as a language teaching/learning tool to improve children's reading ability, reading interest, and learning behavior. The iRobiQ, with its multimedia contents, was employed to encourage children to read, speak, and answer questions. Fifty-seven pre-kindergarteners participated in this…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Reading Ability
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Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
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Mohanty, Atasi; Das, Swati Preeti – SAGE Open, 2015
The objective of the study was to examine the performance characteristics and differences between English and Oriya medium school children on various cognitive processing, reading, academic achievement, and teacher perception measures. The sample consists of 243 schoolchildren, 120 from Grade IV and 123 from Grade VII from three different schools…
Descriptors: Teaching Styles, Cognitive Processes, Language of Instruction, Academic Achievement
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