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Angelone, Anna Maria; Galassi, Alessandra; Vittorini, Pierpaolo – International Journal of Learning Technology, 2022
The adoption of computerised adaptive testing (CAT) instead of classical testing (FIT) raises questions from both teachers' and students' perspectives. The scientific literature shows that teachers using CAT instead of FIT should experience shorter times to complete the assessment and obtain more precise evaluations. As for the students, adaptive…
Descriptors: Adaptive Testing, Computer Assisted Testing, College Freshmen, Student Attitudes
Sahin, Muhittin; Aydin, Furkan; Sulak, Sema; Müftüoglu, Cennet Terzi; Tepgeç, Mustafa; Yilmaz, Gizem Karaoglan; Yilmaz, Ramazan; Yurdugül, Halil – International Association for Development of the Information Society, 2021
The use of technology for teaching and learning has created a paradigm shifting in learning environments and learning process, and also the paradigm shifting has also affected the assessment processes. In addition to these, online environments provide more opportunities to assess of the learners. In this study, the Adaptive Mastery Testing (AMT)…
Descriptors: Teaching Methods, Learning Processes, Adaptive Testing, Computer Assisted Testing
Lazarinis, Fotis; Green, Steve; Pearson, Elaine – Interactive Learning Environments, 2011
In this article, we present the characteristics and the design of a modular personalized multimedia testing tool based fully on XML learning specifications. Personalization is based on the characteristics of the individual learners, thus the testing paths are tailored to their needs and goals. The system maintains learner profiles rich in content…
Descriptors: Multimedia Materials, Computer Assisted Testing, Computer Software Evaluation, Computer Software
Kaburlasos, Vassilis G.; Marinagi, Catherine C.; Tsoukalas, Vassilis Th. – Computers & Education, 2008
This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely "Module for Adaptive Assessment of Students" (or, "MAAS" for short), implements the proposed (feedback) techniques. In conclusion, a pilot…
Descriptors: Feedback (Response), Student Improvement, Computer Science, Bayesian Statistics
Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
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…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
Al-A'ali, Mansoor – Educational Technology & Society, 2007
Computer adaptive testing is the study of scoring tests and questions based on assumptions concerning the mathematical relationship between examinees' ability and the examinees' responses. Adaptive student tests, which are based on item response theory (IRT), have many advantages over conventional tests. We use the least square method, a…
Descriptors: Educational Testing, Higher Education, Elementary Secondary Education, Student Evaluation