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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
Suzanne Ruder; Courtney Stanford; Nuha Farhat; Leslie Bolda – Journal of College Science Teaching, 2024
Students need a strong understanding of how to represent chemical compounds in order to succeed in organic chemistry. This project set out to gain a better understanding of students' difficulties with symbolic representations, by identifying the specific errors associated with drawing wedge-dash structures. The focus was on how students…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Organic Chemistry
Debra S. Osborn; Sabrina N. Quiroga; Edwin Tang; Lyds J. Sherman; Nicholas H. Reese; Khyati Verma; Laura R. Marks – Journal of Career Development, 2024
Social identities impact the way individuals see themselves and their career options but career theories have been slow to the call in exploring how social identities interface with theoretical assumptions. The purpose of this study was to examine how social identities affect and inform specific dimensions identified by cognitive information…
Descriptors: Undergraduate Students, Cognitive Processes, Information Processing, Career Choice
Logan, Jessica A. R.; Hart, Sara A.; Schatschneider, Christopher – AERA Open, 2021
Many research agencies are now requiring that data collected as part of funded projects be shared. However, the practice of data sharing in education sciences has lagged these funder requirements. We assert that this is likely because researchers generally have not been made aware of these requirements and of the benefits of data sharing.…
Descriptors: Data, Shared Resources and Services, Educational Research, Information Processing
R., Akila Devi T.; Sathick, K. Javubar; Khan, A. Abdul Azeez; Raj, L. Arun – International Journal of Web-Based Learning and Teaching Technologies, 2021
Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated summary. This paper proposes a framework for non-factoid QA system, which has three main components: (1) a deep neural…
Descriptors: Natural Language Processing, Artificial Intelligence, Classification, Responses
Guled, Abdiwahab – ProQuest LLC, 2022
This Design-based research study aimed to develop a design framework that would help learning designers to apply learning theory principles when designing learning objects. The study examined the experiential learning theory, information processing theory, and cognitive load theory to develop the iterative learning development (ILD) model. Several…
Descriptors: Learning Theories, Instructional Design, Experiential Learning, Information Processing
Deon T. Benton; David Kamper; Rebecca M. Beaton; David M. Sobel – Developmental Science, 2024
Causal reasoning is a fundamental cognitive ability that enables individuals to learn about the complex interactions in the world around them. However, the mechanisms that underpin causal reasoning are not well understood. For example, it remains unresolved whether children's causal inferences are best explained by Bayesian inference or…
Descriptors: Preschool Children, Thinking Skills, Associative Learning, Abstract Reasoning
Seyed Saman Saboksayr – ProQuest LLC, 2024
Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…
Descriptors: Networks, Topology, Graphs, Information Processing
Zhaojun Duo; Jianan Zhang; Yonggong Ren; Xiaolu Xu – Education and Information Technologies, 2025
"Self-regulated learning" (SRL) significantly impacts the process and outcome of "programming problem-solving." Studies on SRL behavioural patterns of programming students based on trace data are limited in number and lack of coverage. In this study, hence, the Hidden Markov Model (HMM) was employed to probabilistically mine…
Descriptors: Students, Programming, Problem Solving, Self Management
Rune Lomholt – Social Psychology of Education: An International Journal, 2025
In many teacher expectation studies, it is suggested that teachers can overcome expectation bias through enhanced "awareness." In this exploratory paper, I extrapolate and map the conceptual demarcations of 'teacher awareness' based on a thematic analysis of twenty-six teacher expectation studies identified in a systematic literature…
Descriptors: Teacher Expectations of Students, Teacher Attitudes, Bias, Teaching Methods
Kalyuga, Slava – Educational Psychology Review, 2023
Adopting an evolutionary approach to substantiate major characteristics of human cognitive architecture has been one of the major recent developments in cognitive load theory. According to this approach, human cognitive architecture is a natural information processing system which can be described by five general principles. This paper attempts to…
Descriptors: Cognitive Processes, Difficulty Level, Evolution, Epistemology
Fitton Davies, K.; Foweather, L.; Watson, P. M.; Bardid, F.; Roberts, S. J.; Davids, K.; O'Callaghan, L.; Crotti, M.; Rudd, J. R. – Physical Education and Sport Pedagogy, 2023
Background: Traditionally, Physical Education (PE) has adopted a multiskills approach, where children generally engage in decontextualised practice of sport techniques to develop specific movement skills and facilitate sports participation. This approach has been critiqued for having a weak conceptual and philosophical justification, and a lack of…
Descriptors: Early Childhood Education, Physical Education, Preschool Children, Perceptual Motor Learning
Isman M. Nur; Cholis Sa'Dijah; Santi Irawati; Subanji – Pegem Journal of Education and Instruction, 2024
This study aims to analyze and to describe, in terms of information processing theory, the thinking processes of junior high school students as they solved problems involving direct and inverse proportions. This study design is qualitative and exploratory-descriptive in nature. 26 students in the seventh grade of SMP Negeri 1 Kota Ternate were…
Descriptors: Thinking Skills, Problem Solving, Mathematical Concepts, Information Processing
Debra S. Osborn; Seth C. W. Hayden; James P. Sampson; V. Casey Dozier; Justin Hultman; Erin Bennett – British Journal of Guidance & Counselling, 2024
Cognitive information processing theory was born in response to a realisation the traditional method of individual, one hour counselling appointments prevented many college students from receiving needed support for their career decision making. Frustrated by this lack of access to career services, researchers, theorists and practitioners came…
Descriptors: Cognitive Processes, Information Processing, College Students, Career Choice
Matthew Connor Sullivan – ProQuest LLC, 2024
Librarians insist that one of the ways they can contribute to the fight against mis-and disinformation is by teaching information literacy. Yet the demands they place on individuals-- whether through lengthy checklists or expectations that individuals interrogate every piece of information encountered--are unrealistic in view of information…
Descriptors: Librarians, Information Literacy, News Media, Heuristics

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