Computerized adaptive testing in educational electronic environment of maritime higher education institutions

Dyagileva, E.S.; Yurzhenko, Alona; Kononova, Olena; Грицук, Ігор

doi:10.31812/123456789/4448

Cited by 6 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This article highlights further research by the authors, begun in [213,214,215,216,217,218,219]. The article "Computerized adaptive testing in educational electronic environment of maritime higher education institutions" [220] by Olena S. Diahyleva, Igor V. Gritsuk, Olena Y. Kononova and Alona Y. Yurzhenko (figure 24) is devoted to the organization of modern learning process, namely the use of innovative technologies -computerized adaptive testing in educational electronic environment of maritime higher education institutions. This article highlights further research by the authors, begun in [221].…”

Section: Session 5: Adaptive Cloud Learning Platformsmentioning

confidence: 98%

8th Workshop on Cloud Technologies in Education: Report

Semerikov¹,

Shyshkina²,

Striuk³

et al. 2021

View full text Add to dashboard Cite

show abstract

Section: Session 5: Adaptive Cloud Learning Platformsmentioning

confidence: 98%

8th Workshop on Cloud Technologies in Education: Report

Semerikov¹,

Shyshkina²,

Striuk³

et al. 2021

View full text Add to dashboard Cite

show abstract

“…There are now three possibilities for creating an algorithm for an adaptive system [82]. First, the pyramidal approach was used as a criterion, where each student was given a mediumdifficulty task.…”

Section: ) Scaffolding In Mcqmentioning

confidence: 99%

Objectivity and Subjectivity in Variation of Multiple Choice Questions: Linking the Theoretical Concepts Using Motion in Mind

2023

View full text Add to dashboard Cite

Multiple-choice questions (MCQs) have been considerably used for assessing the individual's performance in various contexts. The optimal number of options in MCQs is a debatable issue, followed by contradictions and discussions, and is needed for a firm conclusion from empirical and hypothetical findings. This study aims to link theoretical concepts, including challenge-based gamification, zone of proximal development, and prospect theory, and generate insight into educational assessment using motionin-mind measures. Classical test theory was used to determine reliability and validity. Variations of MCQs experimented: the number of options, settings, and scoring methods. The experimental data was gathered from human and AI simulations and measured using motion-in-mind. It was found that increasing the number of options in the MCQ makes the test more challenging, explaining an increase of mass in mind m. The findings also revealed that time pressure provides competitiveness while scaffolding provides support. In addition, the hybrid system demonstrates the balance of education and entertainment. Finally, the results addressed the general discussion and analogical interpretation in the education context based on physicsin-mind values. These findings can be promising for analyzing the balance between competitiveness and entertainment while enabling the learning process in the practical assessment. INDEX TERMSEducational assessment, Motion-in-mind, Multiple-choice questions, Challenge-based gamification, Number of options, Zone of proximal development, Prospect theory I. INTRODUCTION

show abstract

“…Pavlo I. Fedoruk considers the problems of theory, methodology and techniques and construction of intelligent adaptive systems of individual distance learning on the basis of the latest Web-technologies [11]. Igor V. Gritsuk devoted his work to adaptive testing in educational electronic environment of maritime higher education institutions [12]. Functioning peculiarities of intellectual adaptive educational systems were investigated by Andrii M. Striuk [13,14].…”

Section: Introductionmentioning

confidence: 99%

Approaches to the choice of tools for adaptive learning based on highlighted selection criteria

et al. 2021

View full text Add to dashboard Cite

The article substantiates the relevance of adaptive learning of students in the modern information society, reveals the essence of such concepts as “adaptability” and “adaptive learning system”. It is determined that a necessary condition for adaptive education is the criterion of an adaptive learning environment that provides opportunities for advanced education, development of key competencies, formation of a flexible personality that is able to respond to different changes, effectively solve different problems and achieve results. The authors focus on the technical aspect of adaptive learning. Different classifications of adaptability are analyzed. The approach to the choice of adaptive learning tools based on the characteristics of the product quality model stated by the standard ISO / IEC 25010 is described. The following criteria for the selecting adaptive learning tools are functional compliance, compatibility, practicality, and support. By means of expert assessment method there were identified and selected the most important tools of adaptive learning, namely: Acrobatiq, Fishtree, Knewton (now Wiliy), Lumen, Realize it, Smart Sparrow (now Pearson). Comparative tables for each of the selected tools of adaptive learning according to the indicators of certain criteria are given.

show abstract

Computerized adaptive testing in educational electronic environment of maritime higher education institutions

Cited by 6 publications

References 31 publications

8th Workshop on Cloud Technologies in Education: Report

8th Workshop on Cloud Technologies in Education: Report

Objectivity and Subjectivity in Variation of Multiple Choice Questions: Linking the Theoretical Concepts Using Motion in Mind

Approaches to the choice of tools for adaptive learning based on highlighted selection criteria

Contact Info

Product

Resources

About