Learning Behavior-Aware Cognitive Diagnosis for Online Education Systems

2021 ◽  
pp. 385-398
Author(s):  
Yiming Mao ◽  
Bin Xu ◽  
Jifan Yu ◽  
Yifan Fang ◽  
Jie Yuan ◽  
...  
Keyword(s):  
Online Education ◽  
Cognitive Diagnosis ◽  
Learning Behavior ◽  
Education Systems

scholarly journals Major barriers for participating in online teaching in developing countries from Iranian faculty members' perspectives

2016 ◽  
Author(s):  
Bibi Eshrat Zamani ◽  
Azam Esfijani ◽  
Sayed Majid Abdellahi Damaneh
Keyword(s):  
Developing Countries ◽  
Online Education ◽  
Online Teaching ◽  
Online Courses ◽  
Influential Factors ◽  
Faculty Members ◽  
Cultural Barriers ◽  
Education Systems ◽  
Body Of Knowledge ◽  
Research Findings

Although higher education systems in developing countries such as Iran have embraced the online education approach, they are confronted with significant challenges in this transition, one of which is lack of instructors' participation in online teaching. Therefore, this research is aimed at exploring barriers and influential factors for this lack of participation. The researchers developed their theoretical framework based on a thorough review of the existing body of knowledge while considering the cultural features of Iran as a developing country. A tailored questionnaire asking about the existence of three groups of barriers, namely personal, attitudinal and contextual inhibitors, was distributed among all faculty members who were candidates for delivering online courses in one of the top universities in the country. Data was analysed using the descriptive and inferential tests of Friedman, <em>t</em>-Test and ANOVA. The results were in line with research findings in other developing countries in which the contextual barriers had the most inhibition effect against faculty members’ participation in online teaching. Certain cultural barriers also are highlighted by participants, pertaining to the context of Iranian online education systems.

scholarly journals Quality Assessment of Online Learning in Regional Higher Education Systems

2021 ◽  
Vol 17 (3) ◽  
pp. 929-943
Author(s):  
Olga A. Gritsova ◽  
Elena V. Tissen
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Online Education ◽  
Quality Assessment ◽  
Student Satisfaction ◽  
Educational Process ◽  
Learning Mechanisms ◽  
Education Systems ◽  
Higher Education Systems

The quality of online learning mechanisms, widely implemented due to the COVID-19 pandemic, is a significant issue for regional higher education systems. The research aims to assess student satisfaction with the quality of online education by identifying discrepancies between their requirements and the actual learning process. In order to examine the gaps between students’ expectations and perceptions, a new approach was proposed based on the integrated use of Gap analysis and SERVQUAL methodology, combining qualitative and quantitative aspects. SERVQUAL questionnaires for measuring student satisfaction with online learning include the following criteria: tangibles, reliability, responsiveness, assurance, empathy. Full- and part-time undergraduates of humanitarian and socio-economic departments of two universities participated in the study. Ural Federal University bachelors, learning via Moodle and Microsoft Teams platforms, could directly communicate with their peers and professors, while students of National Research Nuclear University MEPhI were engaged in massive open online courses (MOOC). As a result, all five criteria were analysed in the proposed model for quality assessment of online learning to reveal the gaps between students’ expectations and perceptions of the educational process. Significant discrepancies in the «empathy» and «responsiveness» criteria in both groups demonstrate low student satisfaction with the quality of communication and individualisation of learning. The research findings can be used to construct resource allocation models for implementing educational programmes and developing support measures for regional higher education institutions.

scholarly journals Research on the Construction of a Student Model of an Adaptive Learning System Based on Cognitive Diagnosis Theory

2020 ◽  
Vol 12 (4) ◽  
pp. 20-31
Author(s):  
Yang Zhao ◽  
Yaqin Fan ◽  
Mingrui Yin ◽  
Cheng Fang
Keyword(s):  
Online Education ◽  
Adaptive Learning ◽  
Strong Support ◽  
Individual Characteristics ◽  
Learning System ◽  
Cognitive Diagnosis ◽  
Selection Strategy ◽  
Student Model ◽  
Adaptive Learning System ◽  
The Individual

With the promotion of online education, the adaptive learning system has attracted attention due to its good curriculum recommendation function. The student model is an important interface between the adaptive learning system and the user, reflecting the individual characteristics, knowledge status, and cognitive ability of the student. The accuracy of the information in the student model directly affects the quality of the system recommendation service. The traditional student model only judges students based on the basic information and simple test scores. This paper introduces the self-adaptive item bank and adaptive item selection strategy based on the cognitive diagnosis theory that dynamically detects the students' knowledge and analyzes the state according to the answering habits and knowledge mastering status of different students. This paper analyzes and contrasts a variety of traditional cognitive diagnosis theories and proposes a mixed cognitive diagnosis question bank and a selection strategy model to provide strong support for the construction of student models.

scholarly journals Online Behavior Analysis-Based Student Profile for Intelligent E-Learning

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Kun Liang ◽  
Yiying Zhang ◽  
Yeshen He ◽  
Yilin Zhou ◽  
Wei Tan ◽  
...  
Keyword(s):  
Online Education ◽  
Jaccard Coefficient ◽  
Learning Behavior ◽  
Online Behavior ◽  
Online Learners ◽  
Student Profile ◽  
Learning Attitude ◽  
Learning Platform ◽  
E Learning ◽  
Behavior Characteristics

With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. According to the E-Learning resources and learner behaviors, we also present the intelligent guide model to guide both E-Learning platform and learners to improve learning things. The study on student profile can help the E-Learning platform to meet and guide the students’ learning behavior deeply and also to provide personalized learning situation and promote the optimization of the E-Learning.

MEDICAL EDUCATION BY E-LEARNING METHODS: A TEMPORARY ALTERNATIVE OR A NEW BEGINNING

2021 ◽  
pp. 73-74
Author(s):  
Suneel Kumar ◽  
Kamaldeep Singh ◽  
Dheeraj Kumar Jakhar
Keyword(s):  
Medical Education ◽  
Online Education ◽  
Online Teaching ◽  
Educational Institutions ◽  
Traditional Teaching ◽  
Education Systems ◽  
New Beginning ◽  
Physical Presence ◽  
E Learning ◽  
The Government

The Covid-19 epidemic made the educational institutions to adopt online education systems in an attempt to continue teaching safely as well as to comply to the instructions from the government. Online education systems have been there for many years but they have gained popularity recently, more in the form of a necessity rather than a luxury. This presented a new challenge for the institutions, teachers and the students as they needed to adapt to the online teaching systems. E-learning is the outcome of development of science and technology and is different from traditional teaching in many ways. In traditional teaching the physical presence of the student and teacher at same site is a very crucial factor, while in E-learning the presence is virtual. There are two types of e-learning, synchronous and asynchronous. E-learning has many advantages as well as disadvantages, but how gracefully it gets incorporated in the traditional medical teaching, that only time will tell.

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