This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 1Babenko, Oksana Illivna
- 1Chen, Fu
- 1Gao, Yizhu
- 1Li, Johnson C. H.
- 1Qi Guo
- 1Yildirim-Erbasli, Seyma Nur
- 1Adaptive Learning
- 1Collaborative Filtering
- 1Computer-Based Assessments
- 1Deep Learning
- 1LSTM
- 1Large-scale assessment of student achievement
-
Fall 2022
In recent years, conversational agents have been widely used in education to support student learning. Conversational agents have the capability to enhance learning by improving interaction, motivation, feedback, and personalization. To date, researchers have designed and used different types of...
-
Fall 2021
The digital learning and assessment movement has contributed to an explosion of structured and unstructured learner data (e.g., learner problem-solving product and process data). This calls for new developments in large-scale learning outcome modeling to optimally address the variety, volume,...
-
Spring 2010
Cognitive diagnostic assessment (CDA) is a testing format that employs a cognitive model to, first, develop or identify items measuring specific knowledge and skills and, then, use this model to direct psychometric analyses of examinees’ item response patterns to promote diagnostic inferences....
-
Evaluating the Performance of the Uncorrected and Corrected Reliability Alpha for Range Restriction and the Confidence Intervals in a Single and Meta-Analytic Study
DownloadSpring 2013
Range restriction has long been a methodological problem in educational and psychological research (Hunter & Schmidt, 2004), and this usually leads to a downward-biased estimate of a statistic. Even though much research has examined the performance of Pearson’s correlation under range restriction...
-
LSTM Cluster: An Integrated Approach to Cluster Students' Problem Solving Sequences in Log Files
DownloadFall 2018
Modern technology-based assessments have the capacity to record every student-computer interaction in log files. Cluster analysis of log files could yield insights about students’ problem solving strategies and their misconceptions. However, current cluster analysis algorithms often rely on...
-
Methods for determining whether subscore reporting is warranted in large-scale achievement assessments
DownloadFall 2011
Officials of large-scale assessment programs often want to report subscale scores in addition to the total test score. However, in addition to the reliability of reported scores, evidence that subscales reveal real differences in student performances must be obtained in order to support reporting...
-
Spring 2023
Adaptive learning systems (ALSs) serve as a way to personalize learning experiences for students to improve their learning outcomes. Many studies have been conducted to develop and examine ALSs in terms of their effects on student learning outcomes compared to the traditional classroom settings....