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Zhang, Qian; Fiorella, Logan – Educational Psychologist, 2023
Errors are inevitable in most learning contexts, but under the right conditions, they can be beneficial for learning. Prior research indicates that generating and learning from errors can promote retention of knowledge, higher-level learning, and self-regulation. The present review proposes an integrated theoretical model to explain two major…
Descriptors: Models, Error Correction, Learning Processes, Feedback (Response)
Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
Ghudkam, Supachai; Chatwattana, Pinanta; Piriyasurawong, Pallop – Higher Education Studies, 2023
An imagineering learning model using advance organizers with the internet of things was developed to promote creative innovation for learners in the 21st century. It is an innovation initiated by integrating classroom learning and technology that connects with the internet of things. The objectives of this research were (1) to study and synthesize…
Descriptors: Advance Organizers, Models, Imagination, Problem Solving
Brooks, Patricia J.; Kempe, Vera – First Language, 2020
The radical exemplar model resonates with work on perceptual classification and categorization highlighting the role of exemplars in memory representations. Further development of the model requires acknowledgment of both the fleeting and fragile nature of perceptual representations and the gist-based, good-enough quality of long-term memory…
Descriptors: Models, Language Acquisition, Classification, Memory
D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
Rezaei-Zadeh, Mohammad; Darwish, Tamer K. – Learning Organization, 2016
Purpose: The purpose of this paper is to provide an integrated framework to indicate which antecedents of absorptive capacity (AC) influence its learning processes, and to propose testing of this model in future work. Design/methodology/approach Relevant literature into the antecedents of AC was critically reviewed and analysed with the objective…
Descriptors: Learning Processes, Transformative Learning, Discovery Learning, Models
Mao, Ye; Lin, Chen; Chi, Min – Journal of Educational Data Mining, 2018
Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling…
Descriptors: Prediction, Pretests Posttests, Bayesian Statistics, Short Term Memory
Beghetto, Ronald A. – Journal of Cognitive Education and Psychology, 2016
That creativity can play a role in learning seems clear. Indeed, creativity researchers and educational scholars have long asserted that theories of learning need to be broadened to include creative cognition. What is less clear, however, is the specific nature of that role. The purpose of this article is to introduce a new model of creative…
Descriptors: Creativity, Learning Processes, Learning Theories, Creative Thinking
Austerweil, Joseph L.; Griffiths, Thomas L.; Palmer, Stephen E. – Cognitive Science, 2017
How does the visual system recognize images of a novel object after a single observation despite possible variations in the viewpoint of that object relative to the observer? One possibility is comparing the image with a prototype for invariance over a relevant transformation set (e.g., translations and dilations). However, invariance over…
Descriptors: Prior Learning, Inferences, Visual Acuity, Recognition (Psychology)
Phye, Gary D. – AERA Online Paper Repository, 2017
Within the context of complex cognitive processing and educational interventions, Woolfolk (2016) makes reference to problem solving acquisition, problem solving retention, and problem solving transfer. In each of the aforementioned types of problem solving activities, problem identification and problem representation (reflecting procedural…
Descriptors: Semantics, Problem Solving, Retention (Psychology), Cognitive Ability
Elliott, Katrina; Pillman, Anne – Teaching Science, 2016
This paper explores strategies for teachers to work with science conceptions, both those consistent and those inconsistent with western science understanding. It emphasises the value of teachers checking their own and their students' prior understanding of concepts to be learnt. A past approach of educators has been to replace old beliefs with new…
Descriptors: Science Instruction, Teaching Methods, Scientific Attitudes, Misconceptions
Harvey, James W.; McCrohan, Kevin F. – Marketing Education Review, 2017
Two fallacious assumptions can mislead assurance of learning (AoL) loop closing. Association to Advance Collegiate Schools of Business guidance states that learning goals should reflect the outcomes most valued by the program, but evidence shows that schools assign equal priorities to the skills selected. The second false assumption is that…
Descriptors: Case Studies, Business Administration Education, Skill Development, Prior Learning
Krulatz, Anna M.; Duggan, Jennifer – Reading in a Foreign Language, 2018
This paper presents an exploratory-interpretive study of two multilingual adults acquiring Norwegian through extensive reading. The study examined social and cognitive aspects of language acquisition, and individual factors, such as the language learning behaviors, experiences, attitudes, and beliefs of the participants. The data were collected…
Descriptors: Second Language Learning, Second Language Instruction, Norwegian, Foreign Countries
Kumar, S. Prasanna – Online Submission, 2018
Sensory integration takes place in the central nervous system where complex interactions such as co-ordination, attention, arousal levels, autonomic functioning, emotions, memory and higher level cognitive functions are carried out. Sensory integration gets information through the senses, puts it together with prior knowledge, information and…
Descriptors: Science Instruction, Sensory Integration, Teaching Methods, Short Term Memory
Darabi, Aubteen; Arrastia-Lloyd, Meagan C.; Nelson, David W.; Liang, Xinya; Farrell, Jennifer – Advances in Health Sciences Education, 2015
In order to develop an expert-like mental model of complex systems, causal reasoning is essential. This study examines the differences between forward and backward instructional strategies in terms of efficiency, students' learning and progression of their mental models of the electronic transport chain in an undergraduate metabolism course…
Descriptors: Causal Models, Teaching Methods, Learning Processes, Undergraduate Students