In this study, we reviewed 76 journal articles on employing drawing assessment as a research tool in science education. Findings from the systematic review suggest four justifications for using dra...

A systematic review of trends and findings in research employing drawing assessment in science education

The revolution in technology reduces the effort of manpower in many of the areas. The boon of the technology and rapid advancements in education industry has provided a good learning environment. It offers qualification and credits at the desktop through online courses and evaluation. The prevailing system has its own pause in terms of volume, staffing, variation in the strategies of assessing. As of now, the objective-type questions alone can be practiced and assessed through online examinations. Researchers strive to build systems for evaluating descriptive answer as it is challenging and could not take up its full sway for complete automation. The challenge lies in recognizing the natural language answers and extracting the precise meaning so as to appropriately evaluate the knowledge obtained by the student. The proposed method contains stages such as question classification, answer classification and answer evaluation for the answers given by the student and grade them with appropriate score. A syntactical relation-based feature extraction technique is proposed for automatic evaluation of descriptive-type answers. The system has also adopted a cognitive-based approach where the student answers are judged for its correctness based on the phrases used for answering the questions. The score and feedback are provided to make aware of the understanding level of the subject. The experimental analysis shows .85% higher precision and recall when compared to the earlier systems.

Automatic assessment of descriptive answers in online examination system using semantic relational features

We live in an age of technology. Everything is automated. Even in the field of education, the use of technology is increasing largely. However, even today exams where theoretical questions need to be answered are taking place manually. This is because little work progress has been made in the field of grading theoretical answers written by students during examinations. Hence, we plan on creating an application that will help in evaluating answers. We call this application “Checkpoint”. It is a natural language processing based descriptive answer checking and grading application. This application would simulate human thinking for assessing descriptive answers using natural language processing. NLP involves natural language understanding that is, enabling computers to derive meaning from human or natural language input, and produce the desired output. This application would first parse the answer that is given as an input to it. Taking into consideration for the presence of synonyms it will check how similar the given answer is to the ideal answer whose keywords will be provided by the teachers. Depending on the similarity, it will grade the answers. Keywords: Exams, paper checking, assessment, online examination, grading, theoretical answers analysis

http://www.ijarcs.info/index.php/Ijarcs/article/download/3067/3050

Vasant Powar

Papers

Checkpoint – An Online Descriptive Answers Grading Tool