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Direct linkMichelle Cheong – Journal of Computer Assisted Learning, 2025
Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…
Descriptors: Artificial Intelligence, Performance Based Assessment, Spreadsheets, Models
Wang, Jue; Engelhard, George, Jr.; Wolfe, Edward W. – Educational and Psychological Measurement, 2016
The number of performance assessments continues to increase around the world, and it is important to explore new methods for evaluating the quality of ratings obtained from raters. This study describes an unfolding model for examining rater accuracy. Accuracy is defined as the difference between observed and expert ratings. Dichotomous accuracy…
Descriptors: Evaluators, Accuracy, Performance Based Assessment, Models
Su, Shiyang – ProQuest LLC, 2017
With the online assessment becoming mainstream and the recording of response times becoming straightforward, the importance of response times as a measure of psychological constructs has been recognized and the literature of modeling times has been growing during the last few decades. Previous studies have tried to formulate models and theories to…
Descriptors: Reading Comprehension, Item Response Theory, Models, Reaction Time
Ashford-Rowe, Kevin; Herrington, Janice; Brown, Christine – Assessment & Evaluation in Higher Education, 2014
This study sought to determine the critical elements of an authentic learning activity, design them into an applicable framework and then use this framework to guide the design, development and application of work-relevant assessment. Its purpose was to formulate an effective model of task design and assessment. The first phase of the study…
Descriptors: Performance Based Assessment, Models, Test Construction, Transfer of Training
Download full textSalahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
Ruffini, Stephen J.; Makkonen, Reino; Tejwani, Jaclyn; Diaz, Marycruz – Regional Educational Laboratory West, 2014
This study describes how multiple-measure teacher evaluations were put into practice in a set of ten volunteering local education agencies (LEAs) in Arizona. After a key shift in state policy, five "pilot" LEAs implemented the new Arizona Department of Education teacher evaluation model in the 2012/13 school year, while five other…
Descriptors: Teacher Evaluation, Teacher Attitudes, Administrator Attitudes, Interrater Reliability
