Publication Date
| In 2026 | 0 |
| Since 2025 | 158 |
| Since 2022 (last 5 years) | 689 |
| Since 2017 (last 10 years) | 1355 |
| Since 2007 (last 20 years) | 2099 |
Descriptor
| Cognitive Processes | 2391 |
| Difficulty Level | 2391 |
| Foreign Countries | 691 |
| College Students | 345 |
| Teaching Methods | 329 |
| Instructional Effectiveness | 287 |
| Problem Solving | 287 |
| Undergraduate Students | 287 |
| Educational Technology | 261 |
| Short Term Memory | 233 |
| Student Attitudes | 211 |
| More ▼ | |
Source
Author
| Kalyuga, Slava | 34 |
| Paas, Fred | 30 |
| Sweller, John | 30 |
| Costley, Jamie | 15 |
| Hwang, Gwo-Jen | 13 |
| Huang, Yueh-Min | 12 |
| Bogner, Franz X. | 10 |
| Chang, Chi-Cheng | 10 |
| Lange, Christopher | 10 |
| van Gog, Tamara | 10 |
| Chen, Ouhao | 9 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 27 |
| Researchers | 23 |
| Practitioners | 12 |
| Administrators | 2 |
| Policymakers | 2 |
| Students | 2 |
| Counselors | 1 |
| Parents | 1 |
| Support Staff | 1 |
Location
| China | 78 |
| Taiwan | 73 |
| Germany | 72 |
| Australia | 52 |
| Turkey | 39 |
| South Korea | 32 |
| Canada | 27 |
| Netherlands | 26 |
| United Kingdom | 26 |
| United Kingdom (England) | 16 |
| Israel | 13 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 3 |
| Head Start | 1 |
| Pell Grant Program | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Huestegge, Lynn; Pötzsch, Tristan Herbert – Applied Cognitive Psychology, 2018
Frequency graph types differ in the way how data are translated into visual representations. We compared 2 visualization methods, a traditional circular representation (pie chart) and a rectangular representation (constant column width tree map), which were hypothesized to differ regarding the cognitive ease of visual comparison processes.…
Descriptors: Charts, Graphs, Comprehension, Eye Movements
Andersen, Martin S.; Makransky, Guido – Journal of Computer Assisted Learning, 2021
Measuring cognitive load is important in virtual learning environments (VLE). Thus, valid and reliable measures of cognitive load are important to support instructional design in VLE. Through three studies, we investigated the validity and reliability of Leppink's Cognitive Load Scale (CLS) and developed the extraneous cognitive load (EL)…
Descriptors: Test Construction, Test Validity, Test Reliability, Cognitive Processes
Jung, Jaewon; Shin, Yoonhee; Zumbach, Joerg – Interactive Learning Environments, 2021
This study investigated the effects of pre-training types on the cognitive load, collaborative knowledge construction and level of learning in a computer-supported collaborative learning environment. Pre-training was provided to help learners optimise their cognitive load, build accurate shared-knowledge and achieve successful deep learning. The…
Descriptors: Cognitive Processes, Difficulty Level, Knowledge Level, Cooperative Learning
Hong, Jon-Chao; Hwang, Ming-Yueh; Chen, Mei-Syuan; Tai, Kai-Hsin – Journal of Educational Computing Research, 2021
In line with the attention-to-affect model, this study employed a game that encompasses Gestalt perception to explore how extraneous cognitive load (ECL) and gameplay anxiety correlate with attitude towards exploitative learning and attitude towards explorative learning as students play the Visual-Saliency game (VSG) with images of artworks. The…
Descriptors: Difficulty Level, Cognitive Processes, Anxiety, Correlation
Noetel, Michael; Griffith, Shantell; Delaney, Oscar; Sanders, Taren; Parker, Philip; del Pozo Cruz, Borja; Lonsdale, Chris – Review of Educational Research, 2021
Universities around the world are incorporating online learning, often relying on videos (asynchronous multimedia). We systematically reviewed the effects of video on learning in higher education. We searched five databases using 27 keywords to find randomized trials that measured the learning effects of video among college students. We conducted…
Descriptors: Video Technology, Higher Education, Educational Research, Electronic Learning
Unal, Alper; Topu, Fatma Burcu – Education and Information Technologies, 2021
In this study, based on quasi-experimental research, was investigated the effects of teaching Python programming language via Blockly tool, which had hybrid interface, on students' computer programming anxiety, cognitive load level, and achievement. Participants were 90 high school students, 44 of them in experimental group (hybrid interface) and…
Descriptors: Instructional Effectiveness, Computer Science Education, Computer Interfaces, Programming Languages
Young, John Q.; Thakker, Krima; John, Majnu; Friedman, Karen; Sugarman, Rebekah; van Merriënboer, Jeroen J. G.; Sewell, Justin L.; O'Sullivan, Patricia S. – Advances in Health Sciences Education, 2021
Cognitive Load Theory has emerged as an important approach to improving instruction in the health professions workplace, including patient handovers. At the same time, there is growing recognition that emotion influences learning through numerous cognitive processes including motivation, attention, working memory, and long-term memory. This study…
Descriptors: Psychological Patterns, Cognitive Processes, Difficulty Level, Short Term Memory
Abdellatif, Mohamed Sayed; Abdul-Gawad, Mervat Azmy Zaki – Cypriot Journal of Educational Sciences, 2021
Psychological barriers are one of the most common problems facing individuals nowadays due to everyday life pressures. The current research aimed at identifying the extent to which psychological barriers contribute to predicting the perceived cognitive load of blackboard e-learning management system users. The research sample comprised (240) male…
Descriptors: Psychological Patterns, Barriers, Cognitive Processes, Difficulty Level
Krell, Moritz; Samia Khan; Jan van Driel – Education Sciences, 2021
The development and evaluation of valid assessments of scientific reasoning are an integral part of research in science education. In the present study, we used the linear logistic test model (LLTM) to analyze how item features related to text complexity and the presence of visual representations influence the overall item difficulty of an…
Descriptors: Cognitive Processes, Difficulty Level, Science Tests, Logical Thinking
Sentz, Justin; Stefaniak, Jill – TechTrends: Linking Research and Practice to Improve Learning, 2019
Research focusing on the complexities faced by instructional designers have called for pedagogical strategies to equip instructional designers with the ability to problem solve and make decisions. One of the most widely studied strategies for managing cognitive load is the use of worked examples, which provides an alternative to traditional…
Descriptors: Instructional Design, Problem Solving, Decision Making, Cognitive Processes
Redifer, Jenni L.; Bae, Christine L.; DeBusk-Lane, Morgan – SAGE Open, 2019
Creative thinking shares many characteristics with traditional complex tasks. We investigated whether implicit theories of creativity would affect creative thinking in a way similar to the impact of implicit theories of intelligence on academic tasks. We altered participants' theories of creativity to be either more incremental or more…
Descriptors: Theories, Short Term Memory, Cognitive Processes, Difficulty Level
Larmuseau, Charlotte; Vanneste, Pieter; Cornelis, Jan; Desmet, Piet; Depaepe, Fien – Frontline Learning Research, 2019
Cognitive load theory is one of the most influential theoretical explanations of cognitive processing during learning. Despite its success, attempts to assess cognitive load during learning have proven difficult. Therefore, in the current study, students' self-reported cognitive load after the problem- solving process has been combined with…
Descriptors: Psychophysiology, Cognitive Processes, Difficulty Level, Problem Solving
Leppink, Jimmie; Pérez-Fuster, Patricia – Educational Psychology Review, 2019
Self-rated mental effort has been and continues to be the most widely used measure of cognitive load. This single-item measure is often used as a predictor variable in linear models for predicting performance or some other response variable. While an advantage of linear models is that they are fairly easy to understand, they fall short when the…
Descriptors: Cognitive Processes, Difficulty Level, Predictor Variables, Time on Task
Keith, Jessica M.; Jamieson, Jeremy P.; Bennetto, Loisa – Journal of Autism and Developmental Disorders, 2019
This study examined the impact of noise on cognitive performance in autism spectrum disorder (ASD), while concurrently measuring sympathetic responses. Adolescents with and without ASD completed visually presented span tasks in a 2 × 2 experimental manipulation of noise (quiet vs. 75 dB gated broadband noise) and task difficulty (easier vs.…
Descriptors: Autism, Pervasive Developmental Disorders, Adolescents, Acoustics
Gilliam, Kyle C.; Rayfield, John; Baker, Matt; Ritz, Rudy; Cummings, R. Glenn – Journal of Agricultural Education, 2020
The purpose of this study was to explore the perceptions of undergraduate agricultural students on the cognitive and emotional processes produced after exposure to low- and high-level questions, as well as the effects of post-question wait-time to determine the benefits of differing lengths of post-question wait-time based on the level of…
Descriptors: Student Attitudes, Undergraduate Students, Agricultural Education, Difficulty Level

Peer reviewed
Direct link
