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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Wilma Akihary; Carolina Lestuny; Patresia S. Apituley – Journal of Education and Learning (EduLearn), 2024
Good concept mastery through critical thinking using various approaches, models, strategies, and methods of learning German is essential for the Education 4.0 era. Therefore, this study aimed to analyze the concept mastery and critical thinking skills of German language students at Pattimura University using collaborative learning that combines…
Descriptors: Mastery Learning, Critical Thinking, Concept Formation, German
Agarwal, Deepak; Baker, Ryan S.; Muraleedharan, Anupama – International Educational Data Mining Society, 2020
There has been considerable interest in techniques for modelling student learning across practice problems to drive real-time adaptive learning, with particular focus on variants of the classic Bayesian Knowledge Tracing (BKT) model proposed by Corbett & Anderson, 1995. Over time researches have proposed many variants of BKT with…
Descriptors: Intelligent Tutoring Systems, Models, Skill Development, Mastery Learning
Villanueva, Ana; Liu, Ziyi; Kitaguchi, Yoshimasa; Zhu, Zhengzhe; Peppler, Kylie; Redick, Thomas; Ramani, Karthik – International Journal of Educational Technology in Higher Education, 2021
Augmented reality (AR) is a unique, hands-on tool to deliver information. However, its educational value has been mainly demonstrated empirically so far. In this paper, we present a modeling approach to provide users with mastery of a skill, using AR learning content to implement an educational curriculum. We illustrate the potential of this…
Descriptors: Simulated Environment, Experiential Learning, Mastery Learning, Curriculum Implementation
May, Leah K.; Curtner-Smith, Matthew D. – Journal of Teaching in Physical Education, 2021
Purpose: To determine the impact of two preservice teachers' value orientations on their interpretation and delivery of the skill themes approach. Method: The short form of the value orientations inventory and five qualitative techniques were used to collect data. Participants' value orientations inventory profiles were illustrated graphically.…
Descriptors: Preservice Teachers, Values, Orientation, Skill Development
Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
Choffin, Benoît; Popineau, Fabrice; Bourda, Yolaine; Vie, Jill-Jênn – International Educational Data Mining Society, 2019
Spaced repetition is among the most studied learning strategies in the cognitive science literature. It consists in temporally distributing exposure to an information so as to improve long-term memorization. Providing students with an adaptive and personalized distributed practice schedule would benefit more than just a generic scheduler. However,…
Descriptors: Intervals, Scheduling, Repetition, Memorization
Wang, Shiyu; Yang, Yan; Culpepper, Steven Andrew; Douglas, Jeffrey A. – Journal of Educational and Behavioral Statistics, 2018
A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill transition in the learning environment. A Bayesian formulation is adopted to estimate parameters from a learning model. The developed methods are…
Descriptors: Skill Development, Cognitive Measurement, Cognitive Processes, Markov Processes
Kai, Shimin; Almeda, Ma. Victoria; Baker, Ryan S.; Heffernan, Cristina; Heffernan, Neil – Journal of Educational Data Mining, 2018
Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…
Descriptors: Decision Making, Models, Intervention, Computer Assisted Instruction
Ifenthaler, Dirk, Ed.; Sampson, Demetrios G., Ed.; Isaías, Pedro, Ed. – Cognition and Exploratory Learning in the Digital Age, 2022
This book is about inclusivity and open education in the digital age. It reports the latest data on this topic from the 2021 Cognition and Exploratory Learning in the Digital Age (CELDA) conference. This annual conference focuses on challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress…
Descriptors: Teaching Methods, Educational Innovation, Educational Technology, Technology Uses in Education
Falakmasir, Mohammad; Yudelson, Michael; Ritter, Steve; Koedinger, Ken – International Educational Data Mining Society, 2015
Bayesian Knowledge Tracing (BKT) has been in wide use for modeling student skill acquisition in Intelligent Tutoring Systems (ITS). BKT tracks and updates student's latent mastery of a skill as a probability distribution of a binary variable. BKT does so by accounting for observed student successes in applying the skill correctly, where success is…
Descriptors: Bayesian Statistics, Models, Skill Development, Intelligent Tutoring Systems
Korchemny, Petr A. – International Journal of Environmental and Science Education, 2016
The relevance of the presented problems in the paper is conditioned by the fact that the process of implementation of the competence approach into the educational space of Russia is in contact with a number of theoretical inconsistencies which are directly related to understanding the formation and mastering of competences. The goal of the paper…
Descriptors: Foreign Countries, Competence, Competency Based Education, Educational Practices
Wan, Hao; Beck, Joseph Barbosa – International Educational Data Mining Society, 2015
The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…
Descriptors: Skill Development, Problem Solving, Knowledge Level, Learning Processes
Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
Wang, Victor C. X.; Cranton, Patricia – International Journal of Adult Vocational Education and Technology, 2012
Although Westerners have used over 200 terms to describe self-directed learning (SDL), it is educators in Confucius heritage cultures (CHC) that have successfully promoted and implemented SDL. This article argues that for learners in the Western cultures, especially in the United States to catch up with learners in other industrialized nations…
Descriptors: Independent Study, Adult Education, Models, Program Implementation
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