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Bora, Ashim; Ahmed, Sahin – Online Submission, 2019
The motivation behind this examination is to present the theoretical structure of Modeling Activities, which is believed to be a vital device for mathematics instruction. Modeling activities are defined as activities to figure out complex problems faced in real life situations that require the creation of a mathematical model as a product. In…
Descriptors: Mathematical Models, Mathematics Instruction, Mathematics Activities, Teaching Methods
Zhang, Mei – ProQuest LLC, 2019
In this dissertation I studied how academic librarians select e-book products, emphasizing the decision-making processes they used to make purchasing decisions. My dissertation contains two parts: (1) a meta analysis of selection models from both library and consumer research literature, and (2) interviews with e-book selection librarians. In the…
Descriptors: Academic Libraries, Library Materials, Electronic Publishing, Books
Pandey, Shalini; Karypis, George – International Educational Data Mining Society, 2019
Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. Each student's knowledge is modeled by estimating the performance of the student on the learning activities. It is an important research area for providing a personalized learning platform to…
Descriptors: Learning Processes, Databases, Intelligent Tutoring Systems, Knowledge Level
Ren, Zhiyun; Ning, Xia; Lan, Andrew S.; Rangwala, Huzefa – International Educational Data Mining Society, 2019
Over the past decade, low graduation and retention rates have plagued higher education institutions. To help students graduate on time and achieve optimal learning outcomes, many institutions provide advising services supported by educational technologies. Accurate grade prediction is an integral part of these services such as degree planning…
Descriptors: Grade Prediction, Undergraduate Students, Prior Learning, Courses
Weitekamp, Daniel, III.; Harpstead, Erik; MacLellan, Christopher J.; Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2019
Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…
Descriptors: Computation, Models, Learning, Prediction
Fah, Lay Yoon; Thoe, Ng Khar; Hoon, Khoo Chwee; Hwui, Chan Sane – International Baltic Symposium on Science and Technology Education, 2019
This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students' interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal…
Descriptors: Psychometrics, Foreign Countries, Relevance (Education), Science Education
Merkle, E. C.; Furr, D.; Rabe-Hesketh, S. – Grantee Submission, 2019
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Software, Models
Zachrich, Lisa; Weller, Allison; Baron, Christine; Bertram, Christiane – History Education Research Journal, 2020
We encounter information about the past in everyday life through films, books and complex historical sources -- such as historic sites or eyewitness accounts. Investigations of how visitors and learners engage with these complex historical sources have mainly focused on the 'something special' of the encounter on the one hand and on the clear…
Descriptors: History Instruction, Learner Engagement, Student Experience, Primary Sources
Jian, Ling – Chinese Education & Society, 2020
The form of internal university governance is often based on the phenomena of institutional isomorphism within examinations of legitimacy. Under the background of the "CPC leadership + unbalanced governance" state governance model, Chinese universities need to break away from the preconceived notions of balanced governance in their…
Descriptors: Governance, Universities, Administrative Organization, Foreign Countries
Panchenko, Olga Lvovna; Volov, Vyacheslav Theodorovich; Volokhin, Yevgeny Arkadyevich; Mirasrarov, Mirsaid Pulat ugli; Khisamutdinova, Diana Rinatovna – International Journal of Higher Education, 2020
The article presents the concept of development and modernisation of the model of multi-level continuing vocational education for the oil and gas industry of the Udmurt Republic under the conditions of its reform. The relevance of continuing education research in the context of its modernisation and reform stems from the need for highly qualified…
Descriptors: Foreign Countries, Professional Continuing Education, Vocational Education, Fuels
Freeman, G. T.; Blackstone, Jared; Burchard, MaryJo – Education Leadership Review, 2020
The proposed Transformational Education (TE) model clarifies a dynamic process where teachers and other school staff embrace their contribution to educational leadership. Reworking Transformational Leadership (TL) constructs for a stronger fit within the classroom, this concept paper reviews the literature to construct a model illustrating the…
Descriptors: Transformative Learning, Transformational Leadership, Teacher Leadership, Models
Kumar, Abhilasha A.; Balota, David A.; Steyvers, Mark – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We examined 3 different network models of representing semantic knowledge (5,018-word directed and undirected step distance networks, and an association-correlation network) to predict lexical priming effects. In Experiment 1, participants made semantic relatedness judgments for word pairs with varying path lengths. Response latencies for…
Descriptors: Semantics, Networks, Correlation, Semitic Languages
Adams, Curt M. – Journal of School Leadership, 2020
Trust effects between internal school actors (e.g., teachers, students, administrators, parents) are well established in the literature, but less evidence exists about trust in district administration, leading to the question addressed in this study: Does teacher trust in district administration operate in a similar way as other trust forms? The…
Descriptors: Trust (Psychology), Teacher Administrator Relationship, Educational Administration, Social Support Groups
Tosuntas, Sule Betül – Journal of Pedagogical Research, 2020
Determining the effect of social loafing behaviors on the performance of individual and group members in the context of group work is considered important. The aim of this research is to examine the effect of social loafing and cyberloafing behaviors on group work. The effect of social loafing and cyberloafing on group studies was examined on the…
Descriptors: Group Dynamics, Group Behavior, Underachievement, Structural Equation Models
Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: (1) the primary type of interaction; (2) the presentation mode; and (3) the…
Descriptors: Integrated Learning Systems, Classification, Multiple Choice Tests, Problem Solving

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