Publication Date
In 2025 | 231 |
Since 2024 | 704 |
Descriptor
Source
Author
Mahmoud Abdi Tabari | 5 |
Chandralekha Singh | 4 |
Yi Zhang | 4 |
Zehui Zhan | 4 |
Gwo-Jen Hwang | 3 |
Günter Daniel Rey | 3 |
Jiali Wang | 3 |
Jingjing Ma | 3 |
Jiumin Yang | 3 |
Jon-Chao Hong | 3 |
Qingtang Liu | 3 |
More ▼ |
Publication Type
Reports - Research | 704 |
Journal Articles | 683 |
Tests/Questionnaires | 49 |
Information Analyses | 12 |
Speeches/Meeting Papers | 9 |
Books | 1 |
Non-Print Media | 1 |
Numerical/Quantitative Data | 1 |
Education Level
Audience
Teachers | 2 |
Location
China | 54 |
Germany | 23 |
Turkey | 18 |
Indonesia | 17 |
Australia | 13 |
Taiwan | 13 |
Japan | 10 |
United Kingdom | 9 |
Vietnam | 7 |
Canada | 6 |
Iran | 6 |
More ▼ |
Laws, Policies, & Programs
Individuals with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Norizan Mat Diah; Syahirul Riza; Suzana Ahmad; Norzilah Musa; Shakirah Hashim – Journal of Education and Learning (EduLearn), 2025
Sudoku is a puzzle that has a unique solution. No matter how many methods are used, the result will always be the same. The player thought that the number of givens or clues, the initial value on the Sudoku puzzles, would significantly determine the difficulty level, which is not necessarily correct. This research uses two search algorithms,…
Descriptors: Puzzles, Artificial Intelligence, Problem Solving, Algorithms
Alireza Akbari; Mohammadtaghi Shahnazari – Journal of Applied Research in Higher Education, 2025
Purpose: The primary objective of this research paper was to examine the objectivity of the preselected items evaluation (PIE) method, a prevalent translation scoring method deployed by international institutions such as UAntwerpen, UGent and the University of Granada. Design/methodology/approach: This research critically analyzed the scientific…
Descriptors: Evaluation Methods, Translation, Difficulty Level, Validity
Lukas Wesenberg; Felix Krieglstein; Sascha Schneider; Günter Daniel Rey – Applied Cognitive Psychology, 2025
This study examined if the number of interruptions caused by interesting side notes in learning text is critical for the detrimental effect that is generally found when such seductive details are included, and consequently, if this effect can be mitigated by grouping these details together instead of interspersing them. Results confirmed that…
Descriptors: Interference (Learning), Difficulty Level, Cognitive Processes, Transfer of Training
Xiaoxiao Liu; Okan Bulut; Ying Cui; Yizhu Gao – Journal of Computer Assisted Learning, 2025
Background: Process data captured by computer-based assessments provide valuable insight into respondents' cognitive processes during problem-solving tasks. Although previous studies have utilized process data to analyse behavioural patterns or strategies in problem-solving tasks, the connection between latent cognitive states and their…
Descriptors: Adults, Problem Solving, Markov Processes, Network Analysis
Neslihan Yondemir Çaliskan; Emine Sendurur – Educational Technology Research and Development, 2025
Based on the assumptions of cognitive load theory, this study aims to utilize the eye movement data collected from multiple experts to scaffold novice graphic designers. The study has two main stages. In the first stage, eye tracking was used to record the eye movements of 7 experts, who covered eight topics explaining how to use Photoshop. The…
Descriptors: Eye Movements, Novices, Expertise, Guidance
Ingrid P. Hernandez Sibo; David A. Gomez Celis; Shyhnan Liou – Educational Psychology Review, 2024
Creative thinking, recognized as a fundamental life skill, is a complex process influenced by cognitive load. While literature has addressed the integration of cognitive load theory into creative thinking research, a comprehensive synthesis is lacking. To address this gap, we conducted a systematic review and deductive thematic analysis, drawing…
Descriptors: Cognitive Processes, Difficulty Level, Creative Thinking, Creativity
Xiangyi Liao; Daniel M. Bolt; Jee-Seon Kim – Journal of Educational Measurement, 2024
Item difficulty and dimensionality often correlate, implying that unidimensional IRT approximations to multidimensional data (i.e., reference composites) can take a curvilinear form in the multidimensional space. Although this issue has been previously discussed in the context of vertical scaling applications, we illustrate how such a phenomenon…
Descriptors: Difficulty Level, Simulation, Multidimensional Scaling, Graphs
Salah Eddine Bouyousfi; Miché Ouedraogo – American Journal of Evaluation, 2025
The use of complexity-based evaluation methods remains relatively underexplored in the field of evaluation. While increasingly employed to assess complex interventions, Contribution Analysis (CA) continues to suffer from a lack of operationalization. In this article, we propose enhancing the implementation of CA by leveraging Participatory Systems…
Descriptors: Evaluation Methods, Intervention, Difficulty Level, Systems Approach
Kyeong Sam Min; Dong-Jun Min; Amanuel Tadesse; Elyria Kemp – Applied Cognitive Psychology, 2024
Individuals often have difficulties completing tasks in a timely manner. Whether it be scheduling a doctor's appointment, purchasing a birthday gift, or booking an airline ticket, waiting until the very last minute can carry serious consequences. In two experimental studies, we explore how individuals can be encouraged to finish tasks promptly. We…
Descriptors: Prompting, Time Management, Task Analysis, Attention
Emmanuel Burguete; Bernard Coulibaly; Vassilis Komis – Education and Information Technologies, 2025
To design and script courses, practitioners often collaboratively use simple and tangible tools such as Post-it notes. In light of this, research and development were conducted to develop Eduscript Doctor, an analogic tool that would retain the inductive potential of Post-it notes while structuring the pedagogical scripting process. This…
Descriptors: Instructional Design, Program Implementation, MOOCs, Scripts
Marc P. Janson; Oliver Dickhäuser – Journal of Experimental Education, 2025
Feedback significantly impacts learning outcomes, yet interindividual differences in feedback preferences remain understudied. We postulate and test a fitting feedback framework assuming that feedback framings matching personal preferences produce positive effects. We conducted two learning experiments including feedback representing different…
Descriptors: Cognitive Processes, Difficulty Level, Feedback (Response), Preferences
Martin Zettersten; Catherine Bredemann; Megan Kaul; Kaitlynn Ellis; Haley A. Vlach; Heather Kirkorian; Gary Lupyan – Child Development, 2024
The present study tested the hypothesis that verbal labels support category induction by providing compact hypotheses. Ninety-seven 4- to 6-year-old children (M = 63.2 months; 46 female, 51 male; 77% White, 8% more than one race, 4% Asian, and 3% Black; tested 2018) and 90 adults (M = 20.1 years; 70 female, 20 male) in the Midwestern United States…
Descriptors: Children, Adults, Difficulty Level, Novelty (Stimulus Dimension)
Ebru Balta; Celal Deha Dogan – SAGE Open, 2024
As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…
Descriptors: Cheating, Accuracy, Reaction Time, Computer Assisted Testing
Nick Wilson; Eddie Hill; Edwin Gómez – Journal of Outdoor Recreation, Education, and Leadership, 2024
Thru-hiking is seeing an unprecedented surge in popularity in recent years, with the numbers of prospective thru-hikers only expected to continue to increase. Amidst this thru-hiking boom, this study used the Means End of Recreation Scale to determine the values and outcomes that motivate thru-hikers to hike and drive their trail selection.…
Descriptors: Recreational Activities, Motivation, Decision Making, Difficulty Level
Yun-Kyung Kim; Li Cai – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2025
This paper introduces an application of cross-classified item response theory (IRT) modeling to an assessment utilizing the embedded standard setting (ESS) method (Lewis & Cook). The cross-classified IRT model is used to treat both item and person effects as random, where the item effects are regressed on the target performance levels (target…
Descriptors: Standard Setting (Scoring), Item Response Theory, Test Items, Difficulty Level