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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Komang Setemen; I. Gede Sudirtha; I. Wayan Widiana – Journal of Technology and Science Education, 2023
The results of online learning were not optimal, as evidenced by the unsatisfactory learning outcomes. These issues influenced students who had a poor understanding of concepts and those who were quick to learn. It was the reason for the study that aims to analyze the effectiveness of study, explore, implement, evaluate (SEIE) model e-learning…
Descriptors: Electronic Learning, Models, Problem Based Learning, Active Learning
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Amanda, Finga Fitri; Sumitro, Sutiman Bambang; Lestari, Sri Rahayu; Ibrohim, Ibrohim – Journal of Education and Learning (EduLearn), 2022
Implementing a proper learning model during the post COVID-19 pandemic is fundamental for learning quality enhancement, specifically for students' conceptual mastery. The research aims to develop a Complexity Science-Problem Based Learning (CS-PBL) model assisted by the "Sistem Informasi Pengelola Pembelajaran" (SIPEJAR) e-learning…
Descriptors: Problem Based Learning, Models, Mastery Learning, Scientific Concepts
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Zhan, Peida; He, Keren – Educational Measurement: Issues and Practice, 2021
In learning diagnostic assessments, the attribute hierarchy specifies a sequential network of interrelated attribute mastery processes, which makes a test blueprint consistent with the cognitive theory. One of the most important functions of attribute hierarchy is to guide or limit the developmental direction of students and then form a…
Descriptors: Longitudinal Studies, Models, Comparative Analysis, Diagnostic Tests
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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
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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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Murniati, Neni; Susilo, Herawati; Listyorini, Dwi – Pegem Journal of Education and Instruction, 2023
The learning model should be able to improve student's learning abilities. The Brain-Based Whole Learning (BBWL) model is one of the alternative learning models that can improve students' retention achievement, supported by scientific literacy and concept mastery. This study aims to determine the effect of the BBWL model on students' scientific…
Descriptors: Retention (Psychology), Brain Hemisphere Functions, Learning Processes, Models
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Goldin, Ilya; Galyardt, April – Journal of Educational Data Mining, 2018
Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in…
Descriptors: Predictor Variables, Models, Learning Processes, Matrices
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Mbatchou, Guy Merlin; Bouchet, François; Carron, Thibault; Pernelle, Philippe – International Association for Development of the Information Society, 2018
To improve the learning process, the evolution of learner's characteristics (cognitive, affective, prior knowledge, workflow, organization, ...) must be taken into account during the personalization or adaptation. This requires generating several scenarios (a description of activities, their order and links in the learning sequence as well as the…
Descriptors: Learning Processes, Vignettes, Teaching Methods, Learning Activities
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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
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Chen, Fu; Zhang, Shanshan; Guo, Yanfang; Xin, Tao – Research in Science Education, 2017
We used the Rule Space Model, a cognitive diagnostic model, to measure the learning progression for thermochemistry for senior high school students. We extracted five attributes and proposed their hierarchical relationships to model the construct of thermochemistry at four levels using a hypothesized learning progression. For this study, we…
Descriptors: Chemistry, High School Students, Secondary School Science, Correlation
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Greensfeld, Hava; Nevo, Efrat – Athens Journal of Education, 2017
The purpose of our qualitative study was to explore the emotional aspects that accompany learning in an Example-Rich Environment, ERE, through the use of examples created by students in previous years. The study was conducted within the framework of the "Learning Processes" academic course at a teacher-education college, from 2010 to…
Descriptors: Learning Processes, Emotional Response, Models, Observational Learning
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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
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