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Download full textAbigail R. Vild; Maggie E. Wilson; Christopher A. Was – Journal of Research in Education, 2025
Theories of self-regulated learning suggest a positive link between knowledge monitoring accuracy (the ability to predict test performance) and performance on tests. Put differently, students who accurately monitor their knowledge of course content more efficiently regulate study of course materials. However, a plethora of literature indicates…
Descriptors: Student Satisfaction, Undergraduate Students, Scores, Prediction
Direct linkYaosheng Lou; Kimberly F. Colvin – Discover Education, 2025
Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…
Descriptors: Educational Research, Data Collection, Performance, Prediction
Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Richard S. Balkin; Quentin Hunter; Bradley T. Erford – Measurement and Evaluation in Counseling and Development, 2024
We describe best practices in reporting reliability estimates in counseling research with consideration to precision, generalization, and diverse populations. We provide a historical context to reporting reliability estimates, the limitations of past practices, and new methods to address reliability generalization. We highlight best practices…
Descriptors: Best Practices, Reliability, Counseling, Research
Wei Ping Sze; Jane Warren; Carol Sacchett; Wendy Best – International Journal of Language & Communication Disorders, 2025
Background: Current clinical approaches to the treatment of spoken word-finding difficulties in acquired aphasia encourage multimodal cueing, especially the joint application of written and spoken forms. Research that exclusively examines the effects and mechanisms of written cues is limited, with most studies engaging written forms only as part…
Descriptors: Oral Language, Chronic Illness, Aphasia, Orthographic Symbols
Richard M. Kubina Jr.; Madeline Halkowski; Kirsten K. L. Yurich; Kimberly Ghorm; Nora M. Healy – Journal of Behavioral Education, 2024
Operational definitions have a significant history in applied behavior analysis. The practice's importance stems from the role operational definitions play in detecting an event, human thought, or action. While operationalizing target behaviors has enjoyed widespread practice, some concerns have recently arisen with translation validity and…
Descriptors: Identification, Accuracy, Definitions, Applied Behavior Analysis
Yanxuan Qu; Sandip Sinharay – ETS Research Report Series, 2023
Though a substantial amount of research exists on imputing missing scores in educational assessments, there is little research on cases where responses or scores to an item are missing for all test takers. In this paper, we tackled the problem of imputing missing scores for tests for which the responses to an item are missing for all test takers.…
Descriptors: Scores, Test Items, Accuracy, Psychometrics
Munish Saini; Eshan Sengupta; Naman Sharma – Education and Information Technologies, 2025
To be an effective teacher, one must possess strong learning abilities. Developing lesson planning, pursuing learning objectives, and assessing post-lesson accomplishments all these depend on reflection and ongoing learning. As education is context-specific, the iterative process of preparing, reflecting, and improving is what makes teaching…
Descriptors: Artificial Intelligence, Technology Uses in Education, Nonverbal Communication, Feedback (Response)
Bahaa Madi Tarabya; Samer Andria; Asaid Khateb – Annals of Dyslexia, 2025
The current study sought to examine the existence of reading subtypes based on specific accuracy and rate criteria in dyslexia among a non-clinical sample of 120 Arabic-speaking University students and to characterize their reading-related and linguistic skills. For this aim, we relied on a conventional practice in reading disability literature…
Descriptors: Arabic, College Students, Accuracy, Dyslexia
Senay Kocakoyun Aydogan; Turgut Pura; Fatih Bingül – Malaysian Online Journal of Educational Technology, 2024
In every culture and era, education is considered the most fundamental reality and rule that societies prioritize and deem essential. Throughout the process spanning thousands of years, from the emergence of writing to the present day, education has undergone various forms and formats of change. Education has been a continuous guide for shaping,…
Descriptors: Prediction, Academic Achievement, Artificial Intelligence, Algorithms
Huan Liu – ProQuest LLC, 2024
In many large-scale testing programs, examinees are frequently categorized into different performance levels. These classifications are then used to make high-stakes decisions about examinees in contexts such as in licensure, certification, and educational assessments. Numerous approaches to estimating the consistency and accuracy of this…
Descriptors: Classification, Accuracy, Item Response Theory, Decision Making
Abdullah Mana Alfarwan – ProQuest LLC, 2024
This dissertation examined classification outcome differences among four popular individual supervised machine learning (ISML) models (logistic regression, decision tree, support vector machine, and multilayer perceptron) when predicting minor class membership within imbalanced datasets. The study context and the theoretical population sampled…
Descriptors: Regression (Statistics), Decision Making, Prediction, Sample Size
Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Attention, Natural Language Processing
Geraci, Lisa; Kurpad, Nayantara; Tirso, Robert; Gray, Kathryn N.; Wang, Yan – Metacognition and Learning, 2023
Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…
Descriptors: Prediction, Tests, Scores, Low Achievement
Güzel, Mehmet Akif; Basokçu, Tahsin Oguz – Metacognition and Learning, 2023
Besides learners' awareness of their knowledge, a growing number of studies also emphasise the importance of teachers' awareness of how well their students perform to adjust their teaching strategies accordingly. Therefore, proposing a multi-layered metacognitive regulatory model in teaching first, we investigated whether estimation type, item…
Descriptors: Accuracy, Prediction, Scores, Foreign Countries
