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Vaux, Dana E.; Moore, Tami J.; Nordhues, Jeffrey D. – International Journal of Technology in Education, 2022
This paper presents a model for mastery learning. The framework for this model overlays the cognitive and knowledge dimensions from Krathwohl's revision of Bloom's Taxonomy, the Revised Taxonomy, with Polanyi's theory of personal knowledge. A simplified framework integrates Polanyi's concepts of subsidiary and focal awareness with the Revised…
Descriptors: Risk, Creativity, Thinking Skills, Technology Integration
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Kaliisa, Rogers; Kluge, Anders; Mørch, Anders I. – Scandinavian Journal of Educational Research, 2022
Learning analytics (LA) is a fast-growing field but adoption by teachers remain limited. This paper presents the results of a review of 18 LA frameworks and discusses how they have tried to address prominent challenges in LA adoption. The results show that researchers have made significant advances in developing appropriate frameworks to…
Descriptors: Learning Analytics, Models, Adoption (Ideas), Learning Theories
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Abarkan, Ali; BenYakhlef, Majid – Education and Information Technologies, 2022
Learning to code is far from an easy task, it is a promising approach that underscores the use of the video game culture of students to motivate them to invest their time in the practice of programming. The students in this discipline are often discouraged by the amount of information to remember and the complex and constraining syntaxes.…
Descriptors: Programming Languages, Educational Games, Computer Games, Learning Motivation
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Al-Olimat, Khalid S. – IEEE Transactions on Education, 2022
Contribution: Project-based learning is a widely used learning approach that has proven itself effective in engineering education. This article describes a generalized model to teach undergraduate students the concepts of dc electric motors using project-based learning through a complete module that consists of modeling and simulation, and…
Descriptors: Engineering Education, Active Learning, Student Projects, Models
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Du, Xiaoming; Ge, Shilun; Wang, Nianxin – International Journal of Information and Communication Technology Education, 2022
In the context of education big data, it uses data mining and learning analysis technology to accurately predict and effectively intervene in learning. It is helpful to realize individualized teaching and individualized teaching. This research analyzes student life behavior data and learning behavior data. A model of student behavior…
Descriptors: Prediction, Data, Student Behavior, Academic Achievement
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Somaskandan, Karthikeyan; Arulandu, Savarimuthu; Parayitam, Satyanarayana – Learning Organization, 2022
Purpose: This study aims to empirically examine the relationship between individual learning, organizational learning and employee commitment in the context of health-care industry. Design/methodology/approach: A survey instrument was distributed, and data was collected from 346 employees in the health-care industry in the Southern part of India.…
Descriptors: Models, Learning, Organizational Learning, Organizational Effectiveness
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Radovic, Slaviša; Hummel, Hans G. K.; Vermeulen, Marjan – Learning Environments Research, 2022
The relationship between experience (through practice) and knowledge (by theory) is becoming increasingly important in contemporary educational research and development. Where educational curricula aim to support students in linking practical experience to their academic knowledge development, experiential learning appears complex to design with…
Descriptors: Theory Practice Relationship, Educational Environment, Experiential Learning, Instructional Design
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Hu, Mingjia; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which…
Descriptors: Classification, Recognition (Psychology), Computation, Models
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Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
Shabnam Shahvar; Rong Tang – Journal of Education for Library and Information Science, 2022
Even though online teaching and learning in the LIS field is not new, in-depth research efforts specifically addressing the relationship between social presence and its value to the success of online collaborative learning (OCL) for students in Master of Library and Information Science (MLIS) programs in the United States has seldom been…
Descriptors: Library Education, Electronic Learning, Cooperative Learning, Student Attitudes
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Haymes, Tom – Current Issues in Education, 2020
Productive "Third Spaces" are often an afterthought when designing learning environments, both in a physical sense and online. These areas, properly mediated by technology and designed around humans, can often be a key facilitator for student success. The STAC Model is designed to provide a framework for understanding what makes these…
Descriptors: Models, Informal Education, Instructional Design, Technology Uses in Education
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Liu, Chih-Chi; Wang, Ya-Ling – Educational Gerontology, 2023
Research has begun to pay more attention to intergenerational learning and its advantages, while what is the flow state of students of different generations when they participate in intergenerational learning? This study simultaneously measured the flow state of 16 college students (M = 23.13, SD = 1.82, ranging from 21 to 27 years old; 23.08%…
Descriptors: In Person Learning, Electronic Learning, Models, Age Groups
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Milner, Marleen; Wolfer, Terry A. – Journal of Social Work Education, 2023
Research suggests that most college and beginning graduate students lack the cognitive complexity required to engage in effective practical and ethical reasoning. Studies on cognitive development support the view that how people approach complex problems varies significantly depending on the underlying epistemic assumptions they use to guide their…
Descriptors: Decision Making, Social Work, Counselor Training, Ethics
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Han, Chenxing; Housiaux, Andrew – Teachers College Record, 2023
In this article, we consider the intersection of experiential learning and equity work through the lens of a 10-week project: "Listening to the Buddhists in Our Backyard" (L2BB), undertaken in collaboration with a group of six high school seniors at Phillips Academy in Andover, Massachusetts, in the spring of 2022. L2BB was part of a…
Descriptors: Buddhism, Minority Groups, Experiential Learning, Nontraditional Education
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Westergaard, Marit – Second Language Research, 2021
In this article, I argue that first language (L1), second language (L2) and third language (L3) acquisition are fundamentally the same process, based on learning by parsing. Both child and adult learners are sensitive to fine linguistic distinctions, and language development takes place in small steps. While the bulk of the article focuses on…
Descriptors: Multilingualism, Linguistic Input, Second Language Learning, Native Language
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