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Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Journal of Artificial Intelligence in Education, 2023
This paper investigates using multi-label deep learning approach to extending the understanding of cognitive presence in MOOC discussions. Previous studies demonstrate the challenges of subjectivity in manual categorisation methods. Training automatic single-label classifiers may preserve this subjectivity. Using a triangulation approach, we…
Descriptors: Classification, MOOCs, Artificial Intelligence, Intelligent Tutoring Systems
Yannik Fleischer; Susanne Podworny; Rolf Biehler – Statistics Education Research Journal, 2024
This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…
Descriptors: Decision Making, Data Use, Cognitive Processes, Artificial Intelligence
Taylor Lesner; Ben Clarke; Derek Kosty; Geovanna Rodriguez; Elizabeth L. Budd; Christian Doabler – Grantee Submission, 2025
This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…
Descriptors: Mathematics Instruction, Response to Intervention, At Risk Students, Kindergarten
Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
A key feature of embodied education is the participation of the learners' body and mind with the environment. Yet, little work has been done to review the state of embodied education with Artificial Intelligence (AI). The goal of this systematic review is to examine the state of human and AI's triad engagement in education, that is the mind, body,…
Descriptors: Artificial Intelligence, Cognitive Processes, Human Body, Technology Uses in Education
Liu, Bowen; Xing, Wanli; Zeng, Yifang; Wu, Yonghe – British Journal of Educational Technology, 2022
Massively open online courses (MOOCs) offer learners opportunities for self-improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive…
Descriptors: Cognitive Processes, Outcomes of Education, Online Courses, Communities of Practice
Das, Syaamantak; Mandal, Shyamal Kumar Das; Basu, Anupam – Contemporary Educational Technology, 2020
Cognitive learning complexity identification of assessment questions is an essential task in the domain of education, as it helps both the teacher and the learner to discover the thinking process required to answer a given question. Bloom's Taxonomy cognitive levels are considered as a benchmark standard for the classification of cognitive…
Descriptors: Classification, Difficulty Level, Test Items, Identification
Jiaqing Tong – ProQuest LLC, 2022
Though efforts have been made for centuries, how concepts are represented in the brain is still elusive. The embodiment view claims that the sensory, motor and other brain areas through which people acquire concept information during life experiences represent this information during concept retrieval. Some compelling neurobiological evidence…
Descriptors: Concept Formation, Brain Hemisphere Functions, Evidence, Models
Rungsilp, Chutimon; Piromsopa, Krerk; Viriyopase, Atthaphon; U-Yen, Kongpop – International Association for Development of the Information Society, 2021
The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Artificial Intelligence, Cognitive Processes
De Visscher, Alice; Noël, Marie-Pascale; Pesenti, Mauro; Dormal, Valérie – Journal of Learning Disabilities, 2018
Numerous studies have tried to identify the core deficit of developmental dyscalculia (DD), mainly by assessing a possible deficit of the mental representation of numerical magnitude. Research in healthy adults has shown that numerosity, duration, and space share a partly common system of magnitude processing and representation. However, in DD,…
Descriptors: Learning Disabilities, Adults, Numbers, Time
Problem-Solving Styles in Autism Spectrum Disorder and the Development of Higher Cognitive Functions
Constable, Paul A.; Ring, Melanie; Gaigg, Sebastian B.; Bowler, Dermot M. – Autism: The International Journal of Research and Practice, 2018
The Vygotsky Blocks Test assesses problem-solving styles within a theoretical framework for the development of higher mental processes devised by Vygotsky. Because both the theory and the associated test situate cognitive development within the child's social and linguistic context, they address conceptual issues around the developmental relation…
Descriptors: Problem Solving, Cognitive Ability, Autism, Pervasive Developmental Disorders
Miciak, Jeremy; Taylor, W. Pat; Stuebing, Karla K.; Fletcher, Jack M. – Journal of Psychoeducational Assessment, 2018
We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified…
Descriptors: Accuracy, Learning Disabilities, Classification, Identification
Abisheva, Klara M.; Dossanova, Altynay Zh.; Ismakova, Bibissara S.; Aupova, Gulbagira K.; Ayapbergenov, Bulat K.; Tlegenova, Kulyan A. – International Journal of Environmental and Science Education, 2016
The aim of the research is to determine the peculiarities of the evaluative categorization of human intelligence in linguistic world images. The study describes the interdisciplinary approach to studying evaluative categorization, which assumes the use of complex methodology including the anthropocentric, the interdisciplinary, and the cognitive…
Descriptors: Classification, Interdisciplinary Approach, Cognitive Processes, Ethnicity
McMurray, Bob; Danelz, Ani; Rigler, Hannah; Seedorff, Michael – Developmental Psychology, 2018
The development of the ability to categorize speech sounds is often viewed as occurring primarily during infancy via perceptual learning mechanisms. However, a number of studies suggest that even after infancy, children's categories become more categorical and well defined through about age 12. We investigated the cognitive changes that may be…
Descriptors: Speech Communication, Classification, Child Development, Adolescent Development
Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars – International Journal of Artificial Intelligence in Education, 2016
Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Ryan, Carolyn S., Ed. – IntechOpen, 2017
Learning disabilities are conditions that are associated with difficulties in knowledge and skill acquisition to the level expected of same-age peers. The current book is an international examination of assessment methods, preventative measures, intervention, and research with those individuals with learning disabilities obtained from authors in…
Descriptors: Learning Disabilities, Foreign Countries, Classification, Identification

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