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Wang, Ling Ling; Jian, Sun Xiao; Liu, Yan Lou; Xin, Tao – Applied Measurement in Education, 2023
Cognitive diagnostic assessment based on Bayesian networks (BN) is developed in this paper to evaluate student understanding of the physical concept of buoyancy. we propose a three-order granular-hierarchy BN model which accounts for both fine-grained attributes and high-level proficiencies. Conditional independence in the BN structure is tested…
Descriptors: Bayesian Statistics, Networks, Cognitive Measurement, Diagnostic Tests
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Ma, Hua; Huang, Zhuoxuan; Tang, Wensheng; Zhu, Haibin; Zhang, Hongyu; Li, Jingze – IEEE Transactions on Learning Technologies, 2023
To provide intelligent learning guidance for students in e-learning systems, it is necessary to accurately predict their performance in future exams by analyzing score data in past exams. However, existing research has not addressed the uncertain and dynamic features of students' cognitive status, whereas these features are essential for improving…
Descriptors: Prediction, Student Evaluation, Performance, Tests
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Xu, Tianshu; Wu, Xiaopeng; Sun, Siyu; Kong, Qiping – Psychology in the Schools, 2023
Considering the importance of mathematics in modern society, it is crucial to understand the cognitive processes involved in the acquisition of complex mathematical competency. As a new generation of evaluation theory, cognitive diagnosis has its unique advantages in personalized evaluation. Based on the mathematical cognitive framework of Trends…
Descriptors: Cognitive Processes, Mathematics Skills, Competence, Grade 4
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Wang, Fei; Huang, Zhenya; Liu, Qi; Chen, Enhong; Yin, Yu; Ma, Jianhui; Wang, Shijin – IEEE Transactions on Learning Technologies, 2023
To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…
Descriptors: Cognitive Measurement, Diagnostic Tests, Models, Prediction
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Meng, Lingling; Zhang, Mingxin; Zhang, Wanxue; Chu, Yu – Interactive Learning Environments, 2021
Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Student Evaluation, Knowledge Level
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O'Reilly, Tenaha; Deane, Paul; Sabatini, John – ETS Research Report Series, 2015
In this paper we provide the rationale and foundation for the building and sharing knowledge key practice for the "CBAL"™ English language arts competency model. Building and sharing knowledge is a foundational literacy activity that enables students to learn and communicate what they read in texts. It is a strategic process that…
Descriptors: Language Arts, English Instruction, Knowledge Level, Cognitive Measurement
Education Commission of the States, Denver, CO. National Assessment of Educational Progress. – 1976
Procedures for assessing citizenship education among 13-year-old and 17-year-old students are outlined. The document is designed to be used by over 1,600 district and school personnel who have the responsibility for conducting assessments using the National Assessment of Educational Progress guidelines (NAEP). It provides information on the…
Descriptors: Answer Keys, Citizenship, Cognitive Measurement, Data Analysis
McMillan, James H.; Potter, David L. – 1986
Information about student achievement outcomes is presented, and tests for each outcome area are described. The tests are categorized according to knowledge objectives, skill objectives, and intellectual disposition. Knowledge objectives include comprehension of facts and principles within a particular discipline (specialized knowledge) or a broad…
Descriptors: Academic Achievement, Achievement Tests, Certification, Cognitive Measurement
Ohio State Univ., Columbus. National Center for Research in Vocational Education. – 1977
This second in a series of six learning modules on instructional evaluation is designed to give secondary and postsecondary vocational teachers help in assessing student performance as it relates to knowledge of the facts, data, related information, and procedures taught in their vocational courses. The terminal objective for the module is to…
Descriptors: Academic Achievement, Behavioral Objectives, Cognitive Measurement, Cognitive Tests