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Ding, Xinyi; Larson, Eric C.; Doyle, Amanda; Donahoo, Kevin; Rajgopal, Radhika; Bing, Eric – Interactive Learning Environments, 2021
In this paper, we develop a context-aware, tablet-based learning module for adult education. Specifically, we focus on adult education in healthcare-teaching learners to perform a medical screening procedure. Based upon how learners navigate through the learning module (e.g. swipe-speed and click duration, among others), we use machine learning to…
Descriptors: Handheld Devices, Educational Technology, Navigation (Information Systems), Learning Modules
Bingölbali, Erhan; Bingölbali, Ferhan – International Journal of Progressive Education, 2021
This study explores the affordances that the open-ended questions hold in comparison with those of closed-ended questions through examining 6th grade students' performance on a mathematics test. For this purpose, a questionnaire including 2 open-ended and 2 closed-ended questions was applied to 36 6th grade students. The questions were prepared in…
Descriptors: Questioning Techniques, Test Format, Test Items, Responses
Zhou, Jiawen; Cao, Yi – ETS Research Report Series, 2020
In this study, we explored retest effects on test scores and response time for repeaters, examinees who retake an examination. We looked at two groups of repeaters: those who took the same form twice and those who took different forms on their two attempts for a certification and licensure test. Scores improved over the two test attempts, and…
Descriptors: Testing, Test Items, Computer Assisted Testing, Licensing Examinations (Professions)
Stevenson, Claire E.; Heiser, Willem J.; Resing, Wilma C. M. – Journal of Psychoeducational Assessment, 2016
Multiple-choice (MC) analogy items are often used in cognitive assessment. However, in dynamic testing, where the aim is to provide insight into potential for learning and the learning process, constructed-response (CR) items may be of benefit. This study investigated whether training with CR or MC items leads to differences in the strategy…
Descriptors: Logical Thinking, Multiple Choice Tests, Test Items, Cognitive Tests
Van Inwegen, Eric G.; Adjei, Seth A.; Wang, Yan; Heffernan, Neil T. – International Educational Data Mining Society, 2015
User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…
Descriptors: Knowledge Level, Performance Factors, Error Patterns, Mathematics
Cheatham, Gregory A.; Hart, Juliet E.; Malian, Ida; McDonald, Joan – TEACHING Exceptional Children, 2012
The purpose of this paper is to support school professionals in their work with parents as they meet IDEA (2004) requirements during IEP meetings. The authors share tools to help recognize when IDEA principles are violated and provide alternative responses that school professionals and parents can offer. Definitions and brief explanations of the…
Descriptors: Individualized Education Programs, Disabilities, Advocacy, Educational Principles
Gong, Yue; Beck, Joseph E.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Student modeling is a fundamental concept applicable to a variety of intelligent tutoring systems (ITS). However, there is not a lot of practical guidance on how to construct and train such models. This paper compares two approaches for student modeling, Knowledge Tracing (KT) and Performance Factors Analysis (PFA), by evaluating their predictive…
Descriptors: Intelligent Tutoring Systems, Factor Analysis, Performance Factors, Models

Tobias, Sigmund; And Others – Psychological Reports, 1974
The hypothesis confirmed in this study is that high test-anxiety students performed more poorly on difficult material because they divided their time between personally relevant and task relevant concerns more than did low-anxiety individuals. (Author/KM)
Descriptors: Anxiety, Attention Control, Performance Factors, Response Style (Tests)

Neale, John M.; Friend, Ronald M. – Perceptual and Motor Skills, 1972
Descriptors: Academic Achievement, Attitudes, College Students, Emotional Response

Ault, Ruth L.; And Others – Journal of Educational Research, 1977
A three-dimensional (3-D) test, comparable to twenty-five items from the Boehm Test of Basic Concepts, constructed to determine whether 3-D stimuli would facilitate responses when compared to two dimensional (2-D) stimuli, revealed no significant effects for the version of the test (2-D or 3-D) or the order of administration. (MB)
Descriptors: Comparative Testing, Performance Factors, Response Style (Tests), Responses

Leherissey, Barbara L.; And Others – Journal of Educational Psychology, 1973
In both studies reported here, high trait anxiety was associated with high levels of state anxiety, and constructed response groups had higher levels of state anxiety than reading groups. (Authors/CB)
Descriptors: Achievement, Anxiety, Computer Assisted Instruction, Constructed Response

Globig, Linda J.; Touhey, John C. – Psychological Reports, 1971
Descriptors: Affective Behavior, Cognitive Processes, Comprehension, Emotional Response
Crowe, Patricia B. – 1979
The theory that teachers treat students from whom they expect superior achievement differently than those from whom they expect inferior performance is examined. Five ways of reacting on the part of the teacher are identified for the purpose of this study--teacher warmth, teacher feedback, teacher selection of materials, opportunity offered for…
Descriptors: Expectation, Feedback, Interaction Process Analysis, Nonverbal Communication

Weinstein, Lawrence – Journal of Psychology, 1972
Descriptors: Anxiety, Emotional Response, Individual Differences, Motivation

Bronzaft, Arline L.; Stuart, Irving R. – Perceptual and Motor Skills, 1971
Descriptors: Academic Achievement, Anxiety, Arousal Patterns, Behavioral Science Research