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Showing 1 to 15 of 22 results Save | Export
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Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Wen-Lung Huang; Liang-Yi Li; Jyh-Chong Liang – Educational Technology & Society, 2024
The purposes of this study were to explore students' learning performance, knowledge construction, and behavioral patterns in computer-supported collaborative learning (CSCL) online discussions with/without using Form+Theme+Context (FTC) model guidance scaffolding in visual imagery education. In the online learning activities, the control group…
Descriptors: Asynchronous Communication, Online Courses, Behavior Patterns, Discussion (Teaching Technique)
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Trenova, Arailym; Seitzhanov, Azimkhan; Kosobaeva, Bakdolot; Imangaliyeva, Bazarkhan – Higher Education for the Future, 2023
The relevance of the research in this article is conditioned upon the problems of introducing environment-oriented education in the field of chemical discipline for the development of an important component of the information part of this science among students, based on its application in the framework of restoration and conservation of ecology.…
Descriptors: Ecology, Environmental Education, Science Instruction, Decision Making
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Chung, Cheng-Yu; Hsiao, I-Han – International Educational Data Mining Society, 2021
The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…
Descriptors: Models, Drills (Practice), Pacing, Computer Uses in Education
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Counts, Dena; Dodd, Carley; Wallace, J. D.; Cardot, Joe – Christian Higher Education, 2022
Christian higher education has been experiencing frequent transformational organizational change (e.g., downsizing, elimination of departments, technological innovations, addition of majors, etc.). These changes are significantly impacting faculty members. In other contexts, researchers have asserted that organizational change correlates with…
Descriptors: Organizational Change, Christianity, College Faculty, Teacher Attitudes
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Mandalapu, Varun; Chen, Lujie Karen; Chen, Zhiyuan; Gong, Jiaqi – International Educational Data Mining Society, 2021
With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment and improving teaching practice. Most of these research efforts focused on course-level variables to predict student…
Descriptors: Integrated Learning Systems, Interaction, Undergraduate Students, Minority Group Students
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Jeon, Byungsoo; Shafran, Eyal; Breitfeller, Luke; Levin, Jason; Rosé, Carolyn P. – International Educational Data Mining Society, 2019
This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…
Descriptors: Online Courses, At Risk Students, Academic Achievement, Academic Failure
Messina, Bryan Gregory – ProQuest LLC, 2016
Alcohol consumption and related negative consequences continues to be a systemic societal problem. College students are a population that has been identified as particularly high risk for a number of negative consequences as they are more likely to engage in binge drinking and heavy episodic drinking even when compared to same age non-college…
Descriptors: Drinking, Health Behavior, Alcohol Abuse, College Students
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Yang, Yan; Cox, Cody; Cho, YoonJung – Journal of Psychoeducational Assessment, 2020
Despite the critical role of emotions in multicultural teacher education, no attempt has been made to develop an instrument including affect as a dimension in measuring cultural competence for preservice teachers. To bridge this gap, the present three-study research used three distinct samples of 456 preservice teachers to develop and estimate the…
Descriptors: Cultural Awareness, Measures (Individuals), Student Attitudes, Preservice Teachers
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Zonca, Joshua; Coricelli, Giorgio; Polonio, Luca – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the…
Descriptors: Eye Movements, Individual Differences, Task Analysis, Futures (of Society)
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Pardos, Zachary A.; Horodyskyj, Lev – Journal of Learning Analytics, 2019
We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…
Descriptors: Visualization, Online Courses, Course Descriptions, Data Analysis
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Liao, Yi-Wen; Huang, Yueh-Min; Huang, Shu-Hsien; Chen, Hsin-Chin; Wei, Chun-Wang – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Social media or social networking sites have been used to support online learning with good interactive features. If an existing system can retain current users and attract new users, it can provide greater benefits and influence in the field of online learning. However, most previous studies focus on learner participation intention, and rarely…
Descriptors: Social Networks, Social Media, Online Courses, Models
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Aricioglu, Ahu – International Journal of Higher Education, 2016
The purpose of this study was to examine the mediating effect of gratitude in the relationship between forgiveness and life satisfaction. A convenience sample of 396 (234 (59%) females, 162 (41%) males) university students was recruited from a University in Denizli, Turkey. The participants' ages ranged between 18 and 27 years, with an average of…
Descriptors: Life Satisfaction, College Students, Questionnaires, Behavior Rating Scales
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Heeren, Alexander John; Singh, Ajay S.; Zwickle, Adam; Koontz, Tomas M.; Slagle, Kristina M.; McCreery, Anna C. – International Journal of Sustainability in Higher Education, 2016
Purpose: The purpose of this study is to examine the relationship of sustainability knowledge to pro-environmental behaviour. A common misperception is that unsustainable behaviours are largely driven by a lack of knowledge of the underlying societal costs and the contributing factors leading to environmental degradation. Such a perception assumes…
Descriptors: Correlation, Sustainability, Online Surveys, Behavior Patterns
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