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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
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
Piesie A. G. Asuako; Robert Stojan; Otmar Bock; Melanie Mack; Claudia Voelcker-Rehage – Cognitive Research: Principles and Implications, 2025
It is well established that performing multiple tasks simultaneously (dual-tasking) or sequentially (task-switching) degrades performance on one or both tasks. However, it is unknown whether task-switching adds to the effects of dual-tasking in a single setup. We investigated this in a simulated everyday-like car driving scenario. We expected an…
Descriptors: Task Analysis, Time Management, Motor Vehicles, Performance
Lily Dicken; Thomas Suddendorf; Adam Bulley; Muireann Irish; Jonathan Redshaw – Child Development, 2025
Australian children aged 6-9 years (N = 120, 71 females; data collected in 2021-2022) were tasked with remembering the locations of 1, 3, 5, and 7 targets hidden under 25 cups on different trials. In the critical test phase, children were provided with a limited number of tokens to allocate across trials, which they could use to mark target…
Descriptors: Child Development, Cognitive Ability, Foreign Countries, Task Analysis
Mark D. Johnson – Language Teaching Research Quarterly, 2024
Second language (L2) writing researchers have enthusiastically adopted task complexity frameworks in their examination of the effects of complex task features on L2 written performance. However, such research often overlooks the effect(s) of such features on general L2 development as well as L2 writing development. Drawing from Manch?n and…
Descriptors: Writing (Composition), Task Analysis, Difficulty Level, Teaching Methods
Ji-Eun Lee; Sunghwan Hwang; Sheunghyun Yeo – International Journal of Science and Mathematics Education, 2024
This study explored 54 preservice elementary teachers' identification and modification of mathematical tasks in raising cognitive demand and examined the features of their modified tasks. The study collected data using a three-phase activity: (a) identifying the level of cognitive demand of the given task, (b) modifying the low cognitive demand…
Descriptors: Elementary School Teachers, Task Analysis, Difficulty Level, Mathematics Education
Laura Galeano; Gustaf Gredebäck – Cognitive Science, 2024
We investigated the relations between self-reported math anxiety, task difficulty, and pupil dilation in adults and very young children during math tasks of varying difficulty levels. While task difficulty significantly influenced pupillary responses in both groups, the association between self-reported math anxiety and pupil dilation differed…
Descriptors: Mathematics Anxiety, Difficulty Level, Task Analysis, Eye Movements
Melissa Paurowski; David Glassmeyer; Jihye Kim; Lateefah Id-Deen – International Journal of Mathematical Education in Science and Technology, 2025
Productive struggle is an effective mathematics teaching practice that provides students opportunities to grapple with challenging mathematical concepts, connect prior knowledge, discover new ideas, and develop their critical thinking skills. Research has documented the benefits of secondary mathematics students engaging in productive struggle.…
Descriptors: Advanced Placement Programs, Mathematics Achievement, Grade 11, Grade 12
Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
Leslie Michelle Bahena Olivares; Ramin Rostampour; Allyson F. Hadwin – Metacognition and Learning, 2024
Task understanding is theorized as a critical aspect of effective learning, but its role in self-regulated learning and overall academic performance has been understudied. Research to date indicates that students with adequate task understanding perform well. However, these studies have not demonstrated what practices are needed for developing…
Descriptors: Task Analysis, Individualized Instruction, Performance, Difficulty Level
Karina Nuñez-Gutierrez; Camilo Andrés Rodríguez-Nieto; Lisseth Correa-Sandoval; Vicenç Font Moll – International Electronic Journal of Mathematics Education, 2025
The variational thinking of high school students based on mathematical connections was analyzed through a laboratory on linear functions. This qualitative research based on design was developed in three phases: diagnostic test, implementation of the mathematics laboratory and final test, with students from a public institution in Barranquilla,…
Descriptors: High School Students, Thinking Skills, Mathematics Instruction, Task Analysis
Václav Dobiáš; Václav Šimandl; Jirí Vanícek – Informatics in Education, 2024
The paper discusses an alternative method of assessing the difficulty of pupils' programming tasks to determine their age appropriateness. Building a program takes the form of its successive iterations. Thus, it is possible to monitor the number of times such a program was built by the solver. The variance of the number of program builds can be…
Descriptors: Difficulty Level, Computer Science Education, Programming, Task Analysis
Alexander Brodsky; Andreas Rausch; Jürgen Seifried – Vocations and Learning, 2024
Internships offer the opportunity to gain experience and skills by working in organisations or to establish a professional network, and there is empirical evidence of the positive effects of practical experience in higher education. However, there are only a few studies on the characteristics of workplace tasks that facilitate learning during…
Descriptors: Informal Education, Internship Programs, Business Education, Pretests Posttests
Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Madeleine Long; Hannah Rohde; Michelle Oraa Ali; Paula Rubio-Fernandez – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
This study aims to advance our understanding of the nature and source(s) of individual differences in pragmatic language behavior over the adult lifespan. Across four story continuation experiments, we probed adults' (N = 496 participants, ages 18-82) choice of referential forms (i.e., names vs. pronouns to refer to the main character). Our…
Descriptors: Attention Control, Individual Differences, Pragmatics, Aging (Individuals)