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Yuan Tian; Zhongjian Liu; Hainuo Liu; Min Fang – Journal of Computer Assisted Learning, 2025
Background: Online videos featuring human-generated drawing are increasingly popular in education. However, their effectiveness may vary depending on learners' prior knowledge, and further research is needed to confirm their advantages over other common instructional videos. Objectives: The primary goal of this study is to investigate the impact…
Descriptors: Video Technology, Educational Technology, Instructional Films, Freehand Drawing
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
Marc Brookes Harrison – ProQuest LLC, 2023
Memory is expressed in multiple functionally and anatomically distinct systems that interact over the course of learning and during the retrieval of information about the world. One method to determine the kind of memory representation (episodic and/or procedural) guiding behavior is to look at the expression of expectations (i.e., predictions) in…
Descriptors: Memory, Attention, Prior Learning, Biofeedback
Brod, Garvin; Shing, Yee Lee – Mind, Brain, and Education, 2022
Humans accumulate knowledge throughout their entire lives. In what ways does this accumulation of knowledge influence learning of new information? Are there age-related differences in the way prior knowledge is leveraged for remembering new information? We review studies that have investigated these questions, focusing on those that have used the…
Descriptors: Age Differences, Prior Learning, Brain Hemisphere Functions, Memory
Zheng, Robert; Cordner, Holly; Spears, Jeffrey – Research and Practice in Technology Enhanced Learning, 2022
This study investigates the effects of annotation on abstract and concrete visual representations in science education. Two studies were conducted: Study 1 investigated the interaction between annotation and visual representations. The results of this study demonstrated that in science learning, annotation with abstract visual representations was…
Descriptors: Documentation, Science Education, Visual Stimuli, Interaction
Amphon Puttharaksa; Piyanee Janthapoom; Apantee Poonputta – International Education Studies, 2025
The study aimed to assess the impact of the KWDL technique on the learning achievement of grade 9 students in quadratic function and their satisfaction with this instructional approach. Forty-four ninth-grade students from a Thai public secondary school participated, recruited by cluster random selection. The instruments comprised a KWDL learning…
Descriptors: Grade 9, Secondary School Students, Foreign Countries, Secondary School Mathematics
Hao Tan – ProQuest LLC, 2021
Vision and language are the primary modalities of our human perception and learning. Recent years have witnessed fast development of methods that connect vision and language. Current deep learning methods are data-hungry, thus pre-training on large-scale data helps warm up the model and shows better fine-tuning results on downstream tasks.…
Descriptors: Visual Aids, Language, Prior Learning, Learning Processes
Yu-Cin Jian; Leo Yuk Ting Cheung; Yi-Jye Wu; Fang-Ying Yang; Guo-Li Chiou – Instructional Science: An International Journal of the Learning Sciences, 2024
Computer-simulated experiments have been gaining popularity over hands-on experiments in science education, given the availability of technology and the trend of distance learning. Past studies have focused primarily on comparing the learning outcomes and user experiences of the two experiment modes. In this study, we used an eye tracker to…
Descriptors: Eye Movements, Experiential Learning, Computer Simulation, Science Experiments
Wang, Bo; Ginns, Paul; Mockler, Nicole – Educational Psychology Review, 2022
Cognitive load theory's incorporation of evolutionary perspectives has generated several instructional designs based on movement, including the tracing effect, occurring when learners benefit from explicit instructions to trace out specific elements of lesson materials with the index finger. Historical descriptions of children's tracing behaviours…
Descriptors: Cognitive Processes, Difficulty Level, Imagination, Prior Learning
Genc Aksaray, Sevgi; Ozcelik, Erol – Educational Psychology, 2023
Recent findings from psychological studies have shown that emotional arousal improves human memory. However, more evidence is necessary if these results are generalisable to multimedia learning environments. Considering these needs, the study has the goal to examine the effect of emotional arousal on multimedia learning. Fifty-seven participants…
Descriptors: College Students, Foreign Countries, Arousal Patterns, Emotional Response
Lili Yan; Chungsoo Na; Jina Kang – Journal of Science Education and Technology, 2024
Collaborative problem-solving (CPS) includes multiple socio-cognitive processes that can be challenging to investigate. Constructing arguments is a key practice at the intersection of CPS and science learning. To understand how students construct arguments and develop science knowledge during CPS, we focus on team synchrony--the extent of…
Descriptors: Persuasive Discourse, Cooperative Learning, Problem Solving, Science Education
Breslin, Dermot – Learning Organization, 2019
Purpose: Despite an increasing number of publications focusing on the phenomenon of entrepreneurial learning, it is still unclear how this learning process differs from wider organizational learning. This paper aims to address this gap by highlighting four key processual dimensions unique to entrepreneurial learning: intuiting, scanning,…
Descriptors: Entrepreneurship, Prior Learning, Learning Processes, Innovation
Kubik, Veit; Koslowski, Kenneth; Schubert, Torsten; Aslan, Alp – Metacognition and Learning, 2022
Interim tests of previously studied information can potentiate subsequent learning of new information, in part, because retrieval-based processes help to reduce proactive interference from previously learned information. We hypothesized that an effect similar to this forward testing effect would also occur when making judgments of (prior) learning…
Descriptors: Metacognition, Decision Making, Interference (Learning), Learning Processes