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Jon-Chao Hong; Ming-Chou Liu; Huei-Ying Ho; Chi-Ruei Tsai; Kai-Hsin Tai – Education and Information Technologies, 2024
By using information technology, science learning can be widely disseminated, including, for example, to rural schools. However, the implementation of inquiry-based science learning with action-to-ground science concepts for rural learners needs to be explored. To address this purpose, the present study adopted "live stream" technology…
Descriptors: Cognitive Processes, Difficulty Level, Technology Uses in Education, Video Technology
Ramona Hagenkötter; Valentina Nachtigall; Katrin Rolka; Nikol Rummel – European Journal of Psychology of Education, 2024
The implementation of video modeling examples of mathematical hands-on experimentation may provide students with authentic and, at the same time, not too cognitively overwhelming experiences. However, the effectiveness of video modeling examples can be influenced by different characteristics of the observed models. On the one hand, based on the…
Descriptors: Experiential Learning, Mathematical Concepts, Video Technology, Authentic Learning
Paige Cristine McKeown – ProQuest LLC, 2024
The future of individual and societal progress is largely dependent on students' success following completion of K-12 education. For most traditionally aged students, this entails a journey into higher education at colleges and universities. This transition is rife with pitfalls that may lead students to stop out, fail out, or make inadequate…
Descriptors: College Bound Students, Cognitive Processes, Social Influences, Social Networks
Minji Jeon; Kyungbin Kwon – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigated the computational thinking (CT) practices of eight pre-service teachers through their Scratch and Python programs. Conducted within an undergraduate-level computer science education course, students learned CT concepts via parallel instruction in block-based programming (Scratch) and text-based programming (Python). The…
Descriptors: Preservice Teacher Education, Preservice Teachers, Computation, Cognitive Processes
Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – TEACHING Exceptional Children, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Elementary Secondary Education, Multiple Literacies, Statistics Education, Data Analysis
Vimal K. Viswanathan; Nikhitha Reddy Nukala; John Solomon – Journal of STEM Education: Innovations and Research, 2024
This paper describes applying a new brain-based instructional approach called "Tailored Instructions and Engineered Delivery using Protocols" (TIED UP) in an engineering classroom. Brain-based strategies leverage our knowledge about the functioning of the human brain to deliver the course information effectively. Although brain-based…
Descriptors: College Students, Engineering Education, Engineering Technology, College Faculty
Michelle Bellstedt; Adrian Holtrup; Nils Otto; Markus Berndt; Aline Doreen Scherff; Cihan Papan; Anita Robitzsch; Markus Missler; Dogus Darici – Anatomical Sciences Education, 2024
Experts perceive and evaluate domain-specific visual information with high accuracy. In doing so, they exhibit eye movements referred to as "expert gaze" to rapidly focus on task-relevant areas. Using eye tracking, it is possible to record these implicit gaze patterns and present them to histology novice learners during training. This…
Descriptors: Cues, Eye Movements, Pattern Recognition, Biofeedback
Tilo Strobach; Julia Karbach – Journal of Cognition and Development, 2024
Previous studies demonstrated that dual-task impairments are higher in children than in young adults. A previous study systematically assessed the sources of these larger dual-task impairments by identifying age-related differences in capacity limitations during dual-task processing. Capacity limitations in central cognitive processes were present…
Descriptors: Cognitive Processes, Age Differences, Children, Young Adults
Peijian Paul Sun; Lawrence Jun Zhang – Asia-Pacific Education Researcher, 2024
Engagement plays an important role in students' success in learning. While learner engagement has been widely examined, the degree to which learners engage in online learning and the relationship between online engagement and learning outcomes, particularly in the domain of second/foreign (L2) language learning, still remain under-explored. To…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Electronic Learning
Justin F. Landy; Alexander D. Perry – Cognitive Science, 2024
Evaluating other people's moral character is a crucial social cognitive task. However, the cognitive processes by which people seek out, prioritize, and integrate multiple pieces of character-relevant information have not been studied empirically. The first aim of this research was to examine which character traits are considered most important…
Descriptors: Moral Values, Moral Development, Personality Traits, Undergraduate Students
Xiaohui Zhang; Hyun-Ju Kim – English Teaching, 2024
This study investigated student engagement by conceptualizing learning engagement and examining the inner mechanism that operates in the university English learning context. This study administered a questionnaire to 376 college students, and data analysis was conducted with SPSS 26.0 and AMOS 24.0. The findings revealed that student engagement…
Descriptors: Learner Engagement, English (Second Language), Second Language Learning, Second Language Instruction
Tamara van Gog; Eva Janssen; Florence Lucas; Maaike Taheij – Educational Psychology Review, 2024
Research in cognitive load theory is increasingly recognizing the importance of motivational influences on students' (willingness to invest) mental effort, in particular in the context of self-regulated learning. Consequently, next to addressing effects of instructional conditions and contexts on groups of learners, there is a need to start…
Descriptors: Student Motivation, Independent Study, Individual Characteristics, Cognitive Ability
Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
Alaa Al-Maani; Bara'ah AlAbabneh; Bassil Mashaqba; Anas Huneety – Eurasian Journal of Applied Linguistics, 2024
Language Learning Strategies (LLSs) assist learners to develop cognitive or behavioral competences to make the language learning process more self-directed and effective. In the current educational contexts, think-aloud methods are used to provide insights into the cognitive processes of individuals as they engage in enhancement of skills and…
Descriptors: Foreign Countries, Second Language Learning, Learning Strategies, English (Second Language)
Plamen V. Mirazchiyski; Vadim Gershteyn – Large-scale Assessments in Education, 2024
The Progress in International Reading Literacy Study (PIRLS) was conducted in paper and online reading modes in 2016 using the same samples of students in a number of countries. Differences in reading literacy scores were found in several European countries. In some countries, the differences favored the electronic reading mode. Yet in others, the…
Descriptors: Scores, Reading, Printed Materials, Electronic Books