E-Learning Assessment Application Based on Bloom Taxonomy

2007 ◽  
Vol 14 (9) ◽  
pp. 1-12
Author(s):  
Masura Rahmat ◽  
Madihah Mohd Saudi
Keyword(s):  
Learning Assessment ◽  
E Learning ◽  
Bloom Taxonomy

Developing a math e-learning question specification for sharing questions between different systems

2019 ◽  
Vol 17 (3) ◽  
pp. 49-56
Author(s):  
Mitsuru Kawazoe ◽  
Kentaro Yoshitomi ◽  
Yasuyuki Nakamura ◽  
Tetsuo Fukui ◽  
Shizuka Shirai ◽  
...  
Keyword(s):  
Mathematics Education ◽  
Computer Algebra ◽  
Computer Algebra System ◽  
Learning Assessment ◽  
Authoring Tools ◽  
Common Base ◽  
Assessment Systems ◽  
E Learning

In recent years, e-assessment has become increasingly popular in mathematics education. However, there are several different systems, and hence, the contents need to be developed independently in each system. Sharing contents between different systems is important for the diffusion of math e-learning/assessment systems. This study focuses on sharing computational questions, which are the main contents in most systems. The structure of such questions seems essentially compatible between many systems. Based on this observation, a specification, namely mathematics e-learning question specification (MeLQS) is proposed and described as a common base for developing contents in computer-algebra-system-based mathematics e-learning/assessment systems. Furthermore, the development of authoring tools for MeLQS is reported.

Application of E-Learning in Teaching, Learning and Research in East African Universities

2011 ◽  
pp. 914-927
Author(s):  
Michael Walimbwa
Keyword(s):  
Learning Environments ◽  
Eastern Africa ◽  
Learning Assessment ◽  
Digital Learning ◽  
Mediated Learning ◽  
East African ◽  
Makerere University ◽  
Curriculum Assessment ◽  
E Learning ◽  
Teaching Learning

The challenges of an increasingly borderless world, as seen in the advancements in information technology, have brought reform in universities and re-conceptualized what constitutes learning, teaching, and research. E-learning is often implemented as a response to increasing educational demand and an increasingly networked community. E-learning is considered as an interactive means to provide an alternative environment that stimulates practical learning and equips learners with the skills to manage technological change and innovations. This chapter evaluates the initial phase of e-learning, the importance of a rightful attitude, context, and instructional design in digital learning environments in Makerere University, Uganda, University of Nairobi, Kenya and University of Dar es Salaam, Tanzania. The increase in enrollment in these universities brings in many challenges in service provision, negatively affecting instruction, learning, assessment and research services. A crisis-solving approach is presented as stimulating a creative context for the meaningful introduction of e-learning. It is also discussed whether the environment created so far through computer-mediated learning motivates institutions to integrate e-learning further. The sample involved instructors and learners from three universities in three different countries of Eastern Africa. Findings conclude that an e-learning environment must be introduced by creating relevant awareness to change attitude and empower users with an authentic approach without too much technological complexity. Review of curriculum, assessment and training around e-learning environments are also imperative as these interrelated factors form part of the e-learning process.

A Blockchain System for E-Learning Assessment and Certification

2019 ◽  
Author(s):  
Chuyang Li ◽  
Junqi Guo ◽  
Guangzhi Zhang ◽  
Yaofei Wang ◽  
Yunchuan Sun ◽  
...  
Keyword(s):  
Learning Assessment ◽  
E Learning

Modeling Students' Performances in Activity-Based E-Learning From a Learning Analytics Perspective

2020 ◽  
Vol 18 (4) ◽  
pp. 71-93 ◽  
Author(s):  
Yousra Banoor Rajabalee ◽  
Mohammad Issack Santally ◽  
Frank Rennie
Keyword(s):  
Learning Analytics ◽  
Predictive Analytics ◽  
Learning Activities ◽  
Learning Assessment ◽  
Learning Activity ◽  
Learning Design ◽  
Continuous Assessment ◽  
Online Module ◽  
E Learning ◽  
Teaching Interventions

This paper reports the findings of a research using marks of students in learning activities of an online module to build a predictive model of performance for the final assessment of the module. The objectives were (1) to compare the performances of students of two cohorts in terms of continuous learning assessment marks and final learning activity marks and (2) to model their final performances from their learning activities forming the continuous assessment using predictive analytics and regression analysis. The findings of this study combined with other findings as reported in the literature demonstrate that the learning design is an important factor to consider with respect to application of learning analytics to improve teaching interventions and students' experiences. Furthermore, to maximise the efficiency of learning analytics in eLearning environments, there is a need to review the way offline activities are to be pedagogically conceived so as to ensure that the engagement of the learner throughout the duration of the activity is effectively monitored.

Experimental Analysis of Students’ Satisfaction Factors in E-Learning Environment: A Case Study on Saudi Arabian University

2017 ◽  
Vol 16 (02) ◽  
pp. 1750018 ◽  
Author(s):  
Hussein Abdel-Jaber
Keyword(s):  
Online Education ◽  
Self Efficacy ◽  
Online Courses ◽  
Learning Assessment ◽  
Saudi Students ◽  
Self Regulated Learning ◽  
Perceived Satisfaction ◽  
Regulated Learning ◽  
E Learning ◽  
Students Satisfaction

Despite the proliferation of studies outlining the immense benefits obtained from e-learning, the understanding of students’ satisfaction with e-learning in developing countries is still unclear. Therefore, this paper investigates the relationship between Saudi students’ satisfaction with online courses and a number of individual, as well as institutional characteristics cited as robust predictors of students’ satisfaction in the educational literature. These include: students’ levels of internet self-efficacy, self-regulated learning, assessment of course and instructors’ interactivity and their evaluation of the Learning Management System (LMS) used. The results indicated that students’ internet self-efficacy and self-regulated learning constitute critical factors influencing students’ satisfaction with e-learning. Further, students’ assessment of course, as well as instructors’ interactivity are found to marginally affect perceived satisfaction with e-learning among Saudi students. The LMS used (Blackboard) seemed to be the weakest factor influencing students’ experience with online education. Overall, based on the results obtained and in order to maximise the benefits of e-learning; this paper recommends for Saudi universities to extensively use LMS to increase the interactions among primary stakeholders: students–instructors, students–students and students–LMS.

Using S-P Chart and Bloom Taxonomy to Develop Intelligent Formative Assessment Tool

2009 ◽  
Vol 7 (4) ◽  
pp. 1-16
Author(s):  
Wen-Chih Chang ◽  
Hsuan-Che Yang ◽  
Timothy K. Shih ◽  
Louis R. Chao
Keyword(s):  
Formative Assessment ◽  
Assessment Tool ◽  
Assessment System ◽  
Educational Objective ◽  
E Learning ◽  
On Line ◽  
System Administrator ◽  
Instruction And Learning ◽  
Bloom Taxonomy ◽  
Student Problem

E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning systems didn’t provide methods for assessing learners’ abilities but true-score mode. In this article, Sato’s Student-Problem Chart (SP Chart) is applied to integrate with our proposed on-line assessment system. Teachers are able to analyze each learner easily and efficiently. In addition, the Bloom Taxonomy of Educational Objective supports each item in our assessment management system during the authoring time. In our proposed system, it provides groups of function for student, teacher, and system administrator. According to the SP Chart analysis and Bloom taxonomy of items, we can divide all items into four types, and students into six types. With these types of diagnosis analysis chart, teacher can modify or delete the items which are not proper. With diagnosis analysis chart of students, teachers can realize learners’ learning situation easily and efficiently.

scholarly journals E-Assessment and NEP 2020: Transforming Assessment for Students’ Development

2021 ◽  
Vol 4 (7) ◽  
Author(s):  
Geeta . ◽  
Shri Kant Dwivedi
Keyword(s):  
Education Institution ◽  
Assessment For Learning ◽  
Learning Systems ◽  
Historical Background ◽  
Learning Assessment ◽  
Technological Advancement ◽  
Assessment Of Learning ◽  
Assessment As Learning ◽  
E Learning ◽  
Education Process

The technological advancement and e-learning systems has resulted during upraised demand for tactics and means in measuring student's learning. Assessment is undoubtedly an important part of the education process in any education institution. The present study is to points on concepts of e-assessment; e-assessment historical background, tasks which will be accessed through e-assessment; purposes for assessment; recommendations of NEP2020 to shift assessment from summative to formative for students’ development; advantages and issues of e-assessment. it's concluded that e-assessment are more productive if it is reliable, valid and trustworthy so the Assessors need collaborative attempt todevelop genuine, transparent, valid and practicable assessment. E-assessment helps to measure the task of high order assessment. Keywords: E-assessment, NEP 2020, Assessment of Learning, Assessment for Learning, Assessment as Learning.

scholarly journals Learning Objects in Online Education: A Systemic Approach

2020 ◽  
Vol 3 (2) ◽  
pp. 142
Author(s):  
Gerardo Quiroz Vieyra ◽  
Luis Fernando Muñoz González
Keyword(s):  
Online Education ◽  
Curriculum Design ◽  
Learning Objects ◽  
Learning System ◽  
Systemic Approach ◽  
Quality Model ◽  
Digital Repositories ◽  
E Learning ◽  
Teaching Learning ◽  
Bloom Taxonomy

In the construction of learning objects, as digital instructional material that is delivered to students, the level of learning to which they are directed must be considered first of all, according to the Bloom taxonomy or any other that is used, applicable to the e-learning, taking advantage of the digital resources that are currently available, multimedia for creation, digital repositories for storage and internet for access. Learning objects are built with pedagogical and technological elements that follow a process in themselves, subject to an educational model, instructional design, curriculum design and learning objectives as precedents, with stages very similar to those of design, construction and operation of an information system. Given their nature of digital entities, learning capsules that contain information and knowledge, the Data Quality Model of the ISO / IEC 25012: 2008 standard is also applicable, which guarantees the quality of the content and their access and availability. The creation of learning objects must also obey an educational strategy and be considered holistically in the e-learning system, that is, use a systemic approach throughout the teaching-learning process, including learning objects, considering harmonization , performance and quality in all its stages.

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