Building Efficient Assessment Applications with Personalized Feedback

Author(s):  
Constanta-Nicoleta Bodea ◽  
Maria-Iuliana Dascalu

The aim of this chapter is to provide a model for requirement specification, useful in developing efficient e-assessment applications with personalized feedback, which is enhanced by calling a recommender engine. The research was done in the context of using educational technology to facilitate learning processes. The data used to build the requirement model was collected from a set of interviews with the users and creators of an e-assessment application in project management. Requirement analysis assumes human effort and thus introduces uncertainties. To minimize the subjective factor, the data extracted from interviews with the users and the developers of the existing e-assessment application are clustered using a fuzzy logic solution into classes of requirements. These classes are the units of the model. The connections between classes are also mentioned: relations such as “if-then,” “switch,” or” contains” are explained. The requirements analysis conducts a smart set of specifications, obtained in a collaborative manner, useful for the design of e-assessment applications in project management or other similar domains.

2013 ◽  
pp. 718-736
Author(s):  
Constanta-Nicoleta Bodea ◽  
Maria-Iuliana Dascalu

The aim of this chapter is to provide a model for requirement specification, useful in developing efficient e-assessment applications with personalized feedback, which is enhanced by calling a recommender engine. The research was done in the context of using educational technology to facilitate learning processes. The data used to build the requirement model was collected from a set of interviews with the users and creators of an e-assessment application in project management. Requirement analysis assumes human effort and thus introduces uncertainties. To minimize the subjective factor, the data extracted from interviews with the users and the developers of the existing e-assessment application are clustered using a fuzzy logic solution into classes of requirements. These classes are the units of the model. The connections between classes are also mentioned: relations such as “if-then,” “switch,” or” contains” are explained. The requirements analysis conducts a smart set of specifications, obtained in a collaborative manner, useful for the design of e-assessment applications in project management or other similar domains.


Author(s):  
Paula Peres ◽  
Sandra Ribeiro ◽  
Célia Tavares ◽  
Luciana Oliveira ◽  
Manuel Silva

This chapter aims to demonstrate how PAOL - Unit for Innovation in Education, a project from ISCAP - School of Accounting and Administration of Oporto - Institute Polytechnic of Oporto, Portugal - prompted new educational initiatives and new learning scenarios at a Higher Education Institution. Furthermore, it will demonstrate PAOL’s lines of intervention through an extensive analysis based on the 6 years of experience that this unit has in the educational technology field; a project that began small but that, due to the force of innovation, has progressively conquered new adepts. Therefore the unit described in this chapter relates all these factors, as a whole, capable of attaining changes that influence mentalities and methodologies, overcoming cultural and technical barriers. This case study can serve as a catalyst, potentiating the creation of new multi-faceted projects in the scope of web technologies in higher education teaching-learning processes.


2020 ◽  
Vol 20 ◽  
pp. 155-169
Author(s):  
Goretti Cabaleiro-Cerviño ◽  
Carolina Vera

The formation of human capital is key to countries’ social, cultural and economic development. The current literature pays considerable attention to the ever-increasing proliferation of technology in the careers of college and graduate school. While the presence of educational technology in higher education offers multiple benefits, its implementation also presents challenges. The literature has considered multiple tools for improving learning processes. The results of such tools vary and are difficult to measure in terms of quality. In this document, we analyze the issues surrounding educational technology in higher education.


Information ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 450
Author(s):  
Yancy Vance Paredes ◽  
I-Han Hsiao

Providing feedback to students is one of the most effective ways to enhance their learning. With the advancement of technology, many tools have been developed to provide personalized feedback. However, these systems are only beneficial when interactions are done on digital platforms. As paper-based assessment is still a dominantly preferred evaluation method, particularly in large blended-instruction classes, the sole use of electronic educational systems presents a gap between how students learn the subject from the physical and digital world. This has motivated the design and the development of a new educational technology that facilitates the digitization, grading, and distribution of paper-based assessments to support blended-instruction classes. With the aid of this technology, different learning analytics can be readily captured. A retrospective analysis was conducted to understand the students’ behaviors in an Object-Oriented Programming and Data Structures class from a public university. Their behavioral differences and the associated learning impacts were analyzed by leveraging their digital footprints. Results showed that students made significant efforts in reviewing their examinations. Notably, the high-achieving and the improving students spent more time reviewing their mistakes and started doing so as soon as the assessment became available. Finally, when students were guided in the reviewing process, they were able to identify items where they had misconceptions.


Author(s):  
N. V. Apatova ◽  
A. I. Gaponov

In the modern pedagogical literature a large number of works are devoted to the issue of evaluating students mastered knowledge. Ensuring the quality of diagnostics of the level of knowledge acquisition by students of educational organizations is based on an adequate, reasonable, acceptable and accessible mathematical apparatus. The adequacy and validity of the mathematical apparatus allows you to significantly reduce the influence of the subjective factor on the assessment of knowledge acquisition and minimize objections to its application. On the other hand, acceptability makes it possible to use a specific situation under consideration as a diagnosis, taking into account only its inherent nuances. Accessibility also means the ability to use the proposed mathematical algorithm by teachers who have the necessary minimum of elements of the proposed mathematical apparatus. The article considers the possibility of determining the level of development of the studied topic by students on the basis of five factors of knowledge acquisition: 1. Understanding; 2. Recognition; 3.Reproduction; 4. Application; 5. Creativity. In this case, the calculations are performed by using a simplified method of hierarchy analysis and fuzzy set theory in order to reduce the subjectivity inherent in the rating system of evaluation, the use of elements of the hierarchy analysis method and fuzzy logic is proposed. The fuzzy set theory algorithm is implemented using the fuzzy Logic Toolbox application package of the MATLAB software environment. Using the method of hierarchy analysis is to aggregate scores based on the application of a matrix of paired comparisons. The synthesis of these methods allows us to obtain a fairly effective comparative assessment of students development of educational material. On the basis of the considered methodology for evaluating students assimilation of educational material, it is suggested that it is possible to reduce the influence of a subjective factor to a minimum.


2004 ◽  
Vol 01 (04) ◽  
pp. 435-453 ◽  
Author(s):  
IMRAN SIWANI ◽  
MIRIAM CAPRETZ

Project Management is the application of knowledge, skills, tools and techniques to project activities in order to meet project requirements. The success of any project relies heavily on the initial estimation of all project parameters. The absence of reliable estimations leads to ineffective project planning, over- or under-commitment of resources and therefore an increased likelihood of a software project failure. Fuzzy Logic is a soft-computing technique used to effectively solve uncertainties due to imprecise inputs to generate linguistic or quantitative outputs. This paper presents a novel framework for project management incorporating fuzzy logic known as 'fuzzy ProjectManager'. Furthermore, this paper demonstrates the application of fuzzy logic as a feasible technique for improved estimation accuracy of all software project estimations to ensure higher software project success rates.


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