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Problem-Solving Support and Instructional Sequence: Impact on Cognitive Load and Student Performance
Jamie Costley; Anna Gorbunova; Matthew Courtney; Ouhao Chen; Christopher Lange – European Journal of Psychology of Education, 2024
In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with…
Descriptors: Problem Solving, Cognitive Processes, Difficulty Level, Academic Achievement
Camilo Vieira; Andrea Vásquez; Federico Meza; Roxana Quintero-Manes; Pedro Godoy – ACM Transactions on Computing Education, 2024
Currently, there is little evidence about how non-English-speaking students learn computer programming. For example, there are few validated assessment instruments to measure the development of programming skills, especially for the Spanish-speaking population. Having valid assessment instruments is essential to identify the difficulties of the…
Descriptors: Programming, Spanish Speaking, Translation, Test Validity
San Bolkan; Alan K. Goodboy – Communication Education, 2024
The effect of instructor clarity on student learning has been explained using cognitive load theory, which stipulates that students have limited mental resources to devote to activities pertaining to learning. To date, the effect of teacher clarity on students' cognitive burden has been studied in reference to students' extraneous cognitive load…
Descriptors: Cognitive Processes, Difficulty Level, Teacher Effectiveness, Prediction
Felix Krieglstein; Maik Beege; Lukas Wesenberg; Günter Daniel Rey; Sascha Schneider – Educational Psychology Review, 2025
In research practice, it is common to measure cognitive load after learning using self-report scales. This approach can be considered risky because it is unclear on what basis learners assess cognitive load, particularly when the learning material contains varying levels of complexity. This raises questions that have yet to be answered by…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Materials, Problem Solving
Robi Hendra; Akhmad Habibi; Ahmad Ridwan; Dian Arisandy Eka Putra Sembiring; Tommy Tanu Wijaya; Denny Denmar; I Wayan Widana – Open Education Studies, 2025
The current study examines and evaluates the direct influence of perfectionism, self-efficacy, academic stress, and workload on students' learning outcomes. The study applied a quantitative survey approach. We implemented a survey as the data collection method. A sample size of 218 students was determined using *G-power to determine the sample…
Descriptors: Foreign Countries, Personality Traits, Self Efficacy, Anxiety
Willingham, Daniel T. – American Educator, 2023
Coordinating meaning across sentences is crucial to reading comprehension, because sentences can take on quite different meanings depending on the surrounding context. The same need applies in a far more complex way when reading textbooks. Writers organize the material hierarchically, so readers often need to connect what they're reading now to…
Descriptors: High School Students, College Students, Reading, Difficulty Level
Cynthia Y. Delgado; Richard E. Mayer – Journal of Educational Computing Research, 2025
This study examined whether answering focused explanative questions during pauses in an immersive virtual reality (IVR) lesson on pipetting procedures could enhance learning. The goal was to take a generative learning activity, known to be effective for declarative knowledge with conventional media, to the context of procedural knowledge with…
Descriptors: Computer Simulation, Computer Uses in Education, Laboratory Procedures, Learning Activities
Rosedahl, Luke A.; Ashby, F. Gregory – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule, whereas in information-integration (II) tasks, the optimal strategy is impossible to describe verbally. This study investigates the effects of two different category properties on learning difficulty in category learning tasks--namely, linear separability…
Descriptors: Classification, Learning, College Students, Difficulty Level
Benjamin M. Torsney; Sarah Rawls; Joseph I. Eisman; Catherine Pressimone Beckowski; Cheryl B. Torsney – Educational and Developmental Psychologist, 2025
Objective: The objective of this study was threefold: (a) to create a rubric for response complexity (RC), defined as an admixture of response length, grammatical diversity, categorisation, and sophistication; (b) to measure behavioural and cognitive engagement through students' written responses on a school-based written activity, and (c) to…
Descriptors: College Students, Learner Engagement, Responses, Difficulty Level
Nick Serki; San Bolkan – Communication Education, 2024
This study tested the notion that the impact of clarity (i.e., structure) on learning is indirect and occurs, in part, through the reduction of cognitive load and subsequently through students' motivation to process instructional information. Two hundred fifty-two students were randomly assigned to one of two text-based lessons (clear or unclear)…
Descriptors: College Students, Difficulty Level, Cognitive Processes, Student Motivation
Shu Chen; Xiaoting Liu; Norfarizah Mohd Bakhir; Yang Yu – Education and Information Technologies, 2024
This paper studies the effect of learning efficiency through various animations in conjunction with instructional teaching of traditional Intangible Cultural Heritage (ICH) crafts projects. The germane cognitive load (GCL) is defined as an investment in cognitive resources for schema development and automation. This study employs four…
Descriptors: Difficulty Level, Cognitive Processes, Schemata (Cognition), Cultural Background
Wang, Wei-Tsong; Kartika Sari, Mega – Journal of Educational Computing Research, 2024
The designs of gamification platforms are diverse and constantly evolving. Excessive use of various game mechanisms in learning platforms can distract from the learning process. However, the fit of game mechanisms is still uncertain. Thus, this study investigates the effect of achieving fit when implementing game mechanisms on learning outcomes by…
Descriptors: Gamification, Educational Technology, Design, Cognitive Processes
Lange, Christopher – Open Learning, 2023
Cognitive processing issues online may be reduced through e-learning personalisation, which allows learners to address individual learning needs by controlling how they process information. While some research shows that e-learning personalisation may actually complicate information processing under specific circumstances, this study examines…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
Thanuja Rathakrishnan; Jen Ling Gan; Aqilah Yaacob – International Journal of Sustainability in Higher Education, 2025
Purpose: This study aims to investigate the determinants influencing green mindfulness among university students in Malaysia within the context of the Malaysia 2030 Agenda, focusing on Sustainable Development Goal 17 attainment. Design/methodology/approach: The research uses a quantitative approach with a sample of 203 young adults. It explores…
Descriptors: College Students, Conservation (Environment), Sustainability, Knowledge Level
Irina Shcheglova; Jamie Costley; Elena Gorbunova; Christopher Lange – Innovations in Education and Teaching International, 2025
Although satisfaction with academic experience in the context of higher education has been an area of research for nearly 40 years, it is still unclear how pedagogical practices in the development of thinking skills are related to students' satisfaction. This study aims to investigate the relationships between students' satisfaction and the levels…
Descriptors: Thinking Skills, Skill Development, Student Satisfaction, Student Experience