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Showing all 15 results Save | Export
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Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
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Chen, Xuqian; Wei, Ziqian; Li, Ziteng; Clariana, Roy B. – Educational Technology Research and Development, 2023
How does conceptual structure of external representations contribute to learning? This investigation considered the influence of generative concept sorting and of external structure information moderated by perceived difficulty. In Study 1, undergraduate students completed a perceived difficulty survey and comprehension pretest, then a sorting…
Descriptors: Undergraduate Students, Comprehension, Concept Formation, Difficulty Level
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Prasetya, Didik Dwi; Pinandito, Aryo; Hayashi, Yusuke; Hirashima, Tsukasa – Research and Practice in Technology Enhanced Learning, 2022
Extension concept mapping is a technique to connect prior existing concept maps with new knowledge structures. It offers advantages in each stage of the knowledge-integrating process and encourages learners to improve their performance. While previous studies have confirmed that the extended kit-build concept map outperformed the extended…
Descriptors: Concept Mapping, Knowledge Level, Knowledge Representation, Program Effectiveness
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Al-Samarraie, Hosam; Selim, Hassan; Teo, Timothy; Zaqout, Fahed – Interactive Learning Environments, 2017
When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the…
Descriptors: Foreign Countries, Undergraduate Students, Instructional Design, Online Courses
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Fischer, Andreas; Greiff, Samuel; Funke, Joachim – Journal of Problem Solving, 2012
This article is about Complex Problem Solving (CPS), its history in a variety of research domains (e.g., human problem solving, expertise, decision making, and intelligence), a formal definition and a process theory of CPS applicable to the interdisciplinary field. CPS is portrayed as (a) knowledge acquisition and (b) knowledge application…
Descriptors: Problem Solving, Difficulty Level, Expertise, Decision Making
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Milenkovic´, Dus?ica D.; Segedinac, Mirjana D.; Hrin, Tamara N. – Journal of Chemical Education, 2014
The central goal of this study was to examine the extent to which a teaching approach focused on the interaction between macroscopic, submicroscopic, and symbolic levels of chemistry representations could affect high school students' performance in the field of inorganic reactions, as well as to examine how the applied instruction influences…
Descriptors: Science Instruction, Chemistry, Difficulty Level, Cognitive Processes
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Carruthers, Sarah; Stege, Ulrike – Journal of Problem Solving, 2013
This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…
Descriptors: Problem Solving, Computation, Difficulty Level, Computer Science
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Chan, Lap Ki; Cheng, Maurice M. W. – Anatomical Sciences Education, 2011
Although high-fidelity digital models of human anatomy based on actual cross-sectional images of the human body have been developed, reports on the use of physical models in anatomy teaching continue to appear. This article aims to examine the common features shared by these physical models and analyze their educational value based on the…
Descriptors: Anatomy, Instruction, Human Body, Models
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Gal, Hagar; Linchevski, Liora – Educational Studies in Mathematics, 2010
In this paper, we consider theories about processes of visual perception and perception-based knowledge representation (VPR) in order to explain difficulties encountered in figural processing in junior high school geometry tasks. In order to analyze such difficulties, we take advantage of the following perspectives of VPR: (1) Perceptual…
Descriptors: Knowledge Representation, Visual Perception, Cognitive Processes, Geometry
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Pierce, Robyn; Stacey, Kaye; Wander, Roger; Ball, Lynda – Technology, Pedagogy and Education, 2011
Current technologies incorporating sophisticated mathematical analysis software (calculation, graphing, dynamic geometry, tables, and more) provide easy access to multiple representations of mathematical problems. Realising the affordances of such technology for students' learning requires carefully designed lessons. This paper reports on design…
Descriptors: Secondary School Mathematics, Educational Technology, Mathematics Instruction, Lesson Plans
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
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Chen, Chih-Ming – British Journal of Educational Technology, 2009
Developing personalised web-based learning systems has been an important research issue in e-learning because no fixed learning pathway will be appropriate for all learners. However, most current web-based learning platforms with personalised curriculum sequencing tend to emphasise the learner preferences and interests in relation to personalised…
Descriptors: Electronic Learning, Concept Mapping, Difficulty Level, Cognitive Processes
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Beigneux, Katia; Plaie, Thierry; Isingrini, Michel – International Journal of Aging and Human Development, 2007
The aim of this study was to evaluate the effect of aging on the storage of visual and spatial working memory according to Logie's model of working memory (1995). In a first experiment young, elderly, and very old subjects carried out two tasks usually used to measure visual span (Visual Patterns Test) and spatial span (Corsi Block Tapping test).…
Descriptors: Memory, Spatial Ability, Aging Education, Psychometrics
Schar, Sissel Guttormsen; Zimmermann, Philippe G. – Journal of Research on Technology in Education, 2007
This paper covers an experiment designed to investigate the relationship between the didactical setting and learning effects with animations. We investigated whether the cognitive load imposed by animations could be reduced when the students could control the flow of the animation. We did not find an effect due to the fact that the students did…
Descriptors: Instructional Effectiveness, Knowledge Representation, Cognitive Processes, Difficulty Level
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Kuo, Rita; Lien, Wei-Peng; Chang, Maiga; Heh, Jia-Sheng – Educational Technology & Society, 2004
This paper proposes a methodology to calculate both the difficulty of the basic problems and the difficulty of solving a problem. The method to calculate the difficulty of problem is according to the process of constructing a problem, including Concept Selection, Unknown Designation, and Proposition Construction. Some necessary measures observed…
Descriptors: Problem Solving, Identification, Planning, Difficulty Level