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Rieke Ammoneit; Maximilian Felix Göhner; Tom Bielik; Moritz Krell – Science Education, 2024
Definitions of modeling competence in science education do not yet include noncognitive factors. However, noncognitive factors are central to competence and might thus substantially improve our understanding of modeling competence. In this article, we analyze volition during preservice science teachers' engagement with a black-box modeling task…
Descriptors: Models, Science Education, Preservice Teachers, Science Teachers
Mohammed Alhwaiti – International Journal of Developmental Disabilities, 2024
The aim was to investigate the mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students. Participants were undergraduate students at Umm Al-Qura University. A total of 398 questionnaires were sent out, and 260 valid questionnaires were received. Descriptive statistics…
Descriptors: Foreign Countries, Undergraduate Students, Emotional Response, Self Control
Likhanov, Maxim; Maslennikova, Ekaterina; Costantini, Giulio; Budakova, Anna; Esipenko, Elena; Ismatullina, Victoria; Kovas, Yulia – British Journal of Educational Psychology, 2022
Background: Spatial ability (SA) was shown to be important for success in different fields, including STEM. Recent research suggested that SA is a unitary construct, rather than a set of related skills. However, it is not clear how individual differences in different facets of SA emerge, and how they relate to variance in general cognitive…
Descriptors: Spatial Ability, Models, Cognitive Ability, College Students
Aaron Phipps; Alexander Amaya – Annenberg Institute for School Reform at Brown University, 2022
Given the simultaneous rise in time-to-graduation and college GPA, it may be that students reduce their course load to improve their performance. Yet, evidence to date only shows increased course loads "increase" GPA. We provide a mathematical model showing many unobservable factors -- beyond student ability -- can generate a positive…
Descriptors: Time Management, Time to Degree, Grade Point Average, Mathematical Models
Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
Tomas Butvilas; Deimante Žilinskiene; Remigijus Bubnys; Jordi Colomer; Dolors Cañabate; Marjan Masoodi – Journal of Applied Research in Higher Education, 2024
Purpose: The importance of metacognitive awareness in learning, on the one hand, and the necessity of considering demographic variables, on the other hand, have encouraged the researchers to conduct this research. This research aims to initially determine the relationship between the level of metacognitive awareness and demographic variables of…
Descriptors: Metacognition, College Students, Foreign Countries, Measures (Individuals)
Chen, Dong; Siriphan, Chanchai; Soonjan, Rumpai – Online Submission, 2023
Background and Aim: In the evolving pedagogical landscape, the Outcome-Based Education (OBE) approach has garnered attention for its student-centric model and clear educational outcomes. University in Shaanxi Province recognizes the need for an integrative basketball teaching model to harmonize with this paradigm shift. This study endeavors to…
Descriptors: Outcome Based Education, Higher Education, Physical Education, Team Sports
Nurul Ashikin Izhar; Wendy Ven Ye Teh; Anita Adnan – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
Rua M. Williams – ProQuest LLC, 2020
Executive functions (EF) are a collection of cognitive domains governing task initiation, motor planning, attention, and goal-oriented action. Difficulties with EF have marked impacts on adaptive living skills, learning outcomes, and quality of life for people with cognitive and psychosocial disabilities, as well as the broader population. While…
Descriptors: Computer Simulation, Executive Function, Metacognition, Disabilities
Supena, Ilyas; Darmuki, Agus; Hariyadi, Ahmad – International Journal of Instruction, 2021
This study aimed to investigate: 1) the influence of 4C learning model on students' learning outcomes in the philosophy of science course, 2) the influence of academic capability on students' learning outcomes in the philosophy of science course, and 3) the interaction between 4C learning model and academic capability on the students' learning…
Descriptors: Learning Processes, Models, Philosophy, Science Education
Romiani, Unes; Abili, Khodayar; Pourkaremi, Javad; Farahbakhsh, Saeid – International Journal of Educational Management, 2021
Purpose: The purpose of this paper is to design a talent-based model for recruiting faculty members at regional comprehensive universities in Iran. Design/methodology/approach: To achieve the purpose, grounded theory approach was used. The research population consisted of all experts in the field of higher education in Iran. Nineteen experts were…
Descriptors: Universities, College Faculty, Faculty Recruitment, Foreign Countries
Kim, Seong-un – Journal of Baltic Science Education, 2022
This study studied the types of peer scaffolding presented in scientific experimental activities. The study included 14 university students. For the experimental activity of 'determining temperature changes using the meridian altitude of the sun,' information regarding experimental behaviors, thinking aloud, discourse, and retrospective interview…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Science Instruction, Peer Teaching
Huang, Wen; Roscoe, Rod D.; Craig, Scotty D.; Johnson-Glenberg, Mina C. – Journal of Educational Computing Research, 2022
Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…
Descriptors: Affective Behavior, Learning Theories, Computer Simulation, Teaching Methods