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Noah Britt; Jackie Chau; Hong-jin Sun – Cognitive Research: Principles and Implications, 2025
Human attention can be guided by semantic information conveyed by individual objects in the environment. Over time, we learn to allocate attention resources towards stimuli that are behaviourally relevant to ongoing action, leading to attention capture by meaningful peripheral stimuli. A common example includes, while driving, stimuli that imply a…
Descriptors: Context Effect, Spatial Ability, Universities, College Students
Hengtao Tang; Yeye Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Blended learning, integrating online and in-person components, has been increasingly adopted in higher education to enhance students' learning experience and outcomes. While the advantages of blended learning are well-evidenced, research has primarily focused on the online pre-learning component, neglecting the significance of in-class activities.…
Descriptors: Blended Learning, Behavior Patterns, Learning Processes, Learning
Jinju Lee; Jongchan Park; Dongsik Kim – Instructional Science: An International Journal of the Learning Sciences, 2024
This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…
Descriptors: Knowledge Level, Problem Solving, Metacognition, Cognitive Ability
Kun Huang; Victor Law; Xun Ge; Yan Chen; Ling Hu – Journal of Computing in Higher Education, 2025
Information problem solving (IPS) is an important twenty-first century skill, but it is lacking at all age levels. One type of information problem, those of an ill-structured nature that require multiple iterations of (re)defining problems and formulating emerging solutions, can be particularly challenging but have received less attention in the…
Descriptors: Problem Solving, Epistemology, Beliefs, Student Attitudes
Nergiz Ercil Cagiltay; Sacip Toker; Kursat Cagiltay – Open Praxis, 2024
Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were…
Descriptors: MOOCs, Behavior Patterns, Gender Differences, Age Differences
Esteban Villalobos; Isabel Hilliger; Carlos Gonzalez; Sergio Celis; Mar Pérez-Sanagustín; Julien Broisin – Journal of Learning Analytics, 2024
Researchers in learning analytics have created indicators with learners' trace data as a proxy for studying learner behaviour in a college course. Student Approaches to Learning (SAL) is one of the theories used to explain these behaviours, distinguishing between deep, surface, and organized study. In Latin America, researchers have demonstrated…
Descriptors: Learning Analytics, Academic Achievement, Role Theory, Learning Processes
Miragaya-Casillas, Cristina; Aguayo-Estremera, Raimundo; Ruiz-Villaverde, Alberto – Theory and Research in Education, 2023
Considerable academic debate exists as to whether students with a background in economics exhibit distinct behavioural patterns that set them apart from students in other academic disciplines. Primarily, the debate concerns whether students who fit the stereotype of the economist choose to study economics (the self-selection hypothesis) or whether…
Descriptors: College Students, Economics Education, Beliefs, Ideology
Gómez-García, Melchor; Soto-Varela, Roberto; Boumadan, Moussa; Matosas-López, Luis – Interactive Learning Environments, 2023
The emergence of social networks in the university context has contributed to modify students' behaviour, conditioning their academic performance and learning preferences. The objective is to analyse the influence of the patterns of use of social networks when predicting the usefulness that university students, give to different digital…
Descriptors: Foreign Countries, College Students, Social Networks, Social Media
Ma, Boxuan; Lu, Min; Taniguchi, Yuta; Konomi, Shin'ichi – Smart Learning Environments, 2022
With the increasing use of digital learning materials in higher education, the accumulated operational log data provide a unique opportunity to analyzing student learning behaviors and their effects on student learning performance to understand how students learn with e-books. Among the students' reading behaviors interacting with e-book systems,…
Descriptors: Behavior Patterns, Electronic Publishing, Books, Reading Processes
Man, Kaiwen; Harring, Jeffrey R. – Educational and Psychological Measurement, 2023
Preknowledge cheating jeopardizes the validity of inferences based on test results. Many methods have been developed to detect preknowledge cheating by jointly analyzing item responses and response times. Gaze fixations, an essential eye-tracker measure, can be utilized to help detect aberrant testing behavior with improved accuracy beyond using…
Descriptors: Cheating, Reaction Time, Test Items, Responses
Tlili, Ahmed; Wang, Huanhuan; Gao, Bojun; Shi, Yihong; Zhiying, Nian; Looi, Chee-Kit; Huang, Ronghuai – Interactive Learning Environments, 2023
Online and open learning has recently been made prevalent in many regions in order to mitigate educational inequality and to enhance students' learning experiences and outcomes. Previous studies showed that students perform differently in the learning process, where cultural differences matter. However, little is known about how cultural…
Descriptors: Diversity, Cultural Differences, Behavior Patterns, Electronic Learning
Li, Xiaoyin; Clarke, Nickeisha; Kim, Su-Young; Ray, Anne E.; Walters, Scott T.; Mun, Eun-Young – Journal of American College Health, 2022
Objective: To examine race, gender, and alcohol use level as moderators of the association between protective behavioral strategies (PBS) and alcohol-related problems. Participants: A sample of 12,011 participants who reported recent drinking (87.7% White, 61% Women) from Project INTEGRATE, a study that combined individual participant data (IPD)…
Descriptors: Alcohol Abuse, Drinking, Student Behavior, Race
Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
Clara Margaça; José Carlos Sánchez-García; Brizeida Hernández Sánchez; Susana Lucas Mangas – International Journal of Sustainability in Higher Education, 2024
Purpose: To protect the environment and society, research on responsible behavior and personal values has increased. Values have been identified as important for understanding and predicting environmental preservation behaviors. The purpose of this study is to analyze the validity and reliability of the Environmental Portrait Value Questionnaire…
Descriptors: Universities, Conservation (Environment), Altruism, Self Concept
Tianchen Sun – ProQuest LLC, 2023
Students spend little time completing tasks when deadlines are far off; however, they tend to increase their work amounts as deadline approaches. This phenomenon, which is called deadline rush, can be modeled by exponential distributions. Deadline reactivity, represented by a rate parameter of the exponential distribution, parameterizes individual…
Descriptors: Time Management, Decision Making, College Students, Educational Environment