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Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
Melanie W. Jensen; Peter J. Rich – International Journal of Designs for Learning, 2025
In the teaching of math-fact automaticity, most classroom teachers are unaware of research-based practices such as the use of a controlled response time, the scaffolded teaching of individual math facts, the limiting of exposure to new math facts, the separation of math facts with common operands, and even the definition of automaticity. As a…
Descriptors: Computer Software, Mathematics Instruction, Evidence Based Practice, Scaffolding (Teaching Technique)
Andrew Obermeier – Vocabulary Learning and Instruction, 2020
This article presents a work-in-progress focused on developing an experiment to investigate the effectiveness of different types of deliberate paired-associate computer-assisted language learning (CALL). First, the rationale for Japanese EFL learners' current need for doubling their efforts with this technique is explained. Next, an overview of…
Descriptors: Computer Assisted Instruction, Second Language Instruction, English (Second Language), Internet
Mohammadreza Jalaeian Taghadomi – ProQuest LLC, 2021
Law enforcement officers can come into conflict with suspects when they need to act fast under time pressure. Improving such a decision-making skill is a challenge in a police academy. Academies can train future officers in correct psychomotor responses to attacks by a suspect. However, the ability to anticipate such attacks, and thereby make more…
Descriptors: Police, Police Education, Educational Technology, Video Technology
Hicks, Juanita C. – ProQuest LLC, 2019
Researchers are increasingly interested in the cognitive behaviors students display during tests. This interest has led researchers to look for innovative ways to collect this type of data. Due to the proliferation of computer-based assessments, process data has become popular for its ability to help show what students know, what students don't…
Descriptors: Reading Strategies, Computer Assisted Instruction, Gender Differences, Race
Zu, Tianlong; Hutson, John; Loschky, Lester C.; Rebello, N. Sanjay – Journal of Educational Psychology, 2020
In a previous study, DeLeeuw and Mayer (2008) found support for the triarchic model of cognitive load (Sweller, Van Merriënboer, & Paas, 1998, 2019) by showing that three different metrics could be used to independently measure 3 hypothesized types of cognitive load: intrinsic, extraneous, and germane. However, 2 of the 3 metrics that the…
Descriptors: Eye Movements, Cognitive Processes, Difficulty Level, Multimedia Instruction
Evans, William S.; Cavanaugh, Robert; Quique, Yina; Boss, Emily; Starns, Jeffrey J.; Hula, William D. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The purpose of this study was to develop and pilot a novel treatment framework called "BEARS" (Balancing Effort, Accuracy, and Response Speed). People with aphasia (PWA) have been shown to maladaptively balance speed and accuracy during language tasks. BEARS is designed to train PWA to balance speed-accuracy trade-offs and…
Descriptors: Accuracy, Semantics, Aphasia, Reaction Time
Wang, Shiyu; Zhang, Susu; Douglas, Jeff; Culpepper, Steven – Measurement: Interdisciplinary Research and Perspectives, 2018
Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…
Descriptors: Reaction Time, Markov Processes, Computer Assisted Instruction, Spatial Ability
Walkington, Candace; Clinton, Virginia; Sparks, Anthony – Instructional Science: An International Journal of the Learning Sciences, 2019
Students' grasp of the non-mathematical language in a mathematics story problem--such as vocabulary and syntax--may have an important effect on their problem-solving, and this may be particularly true for students with weaker language skills. However, little experimental research has examined which individual language features influence students'…
Descriptors: Correlation, Homework, Problem Solving, Language Skills
Zhao, Helen; MacWhinney, Brian – Modern Language Journal, 2018
This article analyzes the instructed learning of the English article system by second language (L2) learners. The Competition Model (MacWhinney, 1987, 2012) was adopted as the theoretical framework for analyzing the cues to article usage and for designing effective computer-based article instruction. Study 1 found that article cues followed a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Cues
Brinkhuis, Matthieu J. S.; Savi, Alexander O.; Hofman, Abe D.; Coomans, Frederik; van der Maas, Han L. J.; Maris, Gunter – Journal of Learning Analytics, 2018
With the advent of computers in education, and the ample availability of online learning and practice environments, enormous amounts of data on learning become available. The purpose of this paper is to present a decade of experience with analyzing and improving an online practice environment for math, which has thus far recorded over a billion…
Descriptors: Data Analysis, Mathematics Instruction, Accuracy, Reaction Time
Cornillie, Frederik; Van Den Noortgate, Wim; Van den Branden, Kris; Desmet, Piet – Language Learning & Technology, 2017
Behaviour-tracking technology has been used for decades in SLA research on focused practice with an eye toward elucidating the nature of L2 automatization (e.g. DeKeyser, 1997; Robinson, 1997). This involves longitudinally capturing learners' judgments or linguistic production along with their response times in order to investigate how specific…
Descriptors: Second Language Learning, Eye Movements, Feedback (Response), English (Second Language)
Okuno, Tomoko; Hardison, Debra M. – Language Learning & Technology, 2016
This study examined factors affecting perception training of vowel duration in L2 Japanese with transfer to production. In a pre-test, training, post-test design, 48 L1 English speakers were assigned to one of three groups: auditory-visual (AV) training using waveform displays, auditory-only (A-only), or no training. Within-group variables were…
Descriptors: Second Language Learning, Second Language Instruction, Japanese, Auditory Perception
Murakami, Janel Rachel Goodman – ProQuest LLC, 2017
This dissertation investigated the effects of technological mediation on second language (L2) learning, focusing, as a case study, on gains in listening perception of the subtle but important feature of pitch placement in Japanese. Pitch accent can be difficult to perceive for non-native speakers whose first language (L1) does not rely on pitch or…
Descriptors: Cues, Interpersonal Competence, Nonverbal Communication, Second Language Learning
Russo-Ponsaran, Nicole M.; Evans-Smith, Bernadette; Johnson, Jason K.; McKown, Clark – Journal of Mental Health Research in Intellectual Disabilities, 2014
Many children with autism spectrum disorders (ASDs) demonstrate facial emotion recognition and expression impairments. These impairments may contribute to social disability and may put children with ASDs at risk for developing further mental health problems. In this pilot study, we examined the use of a coach- and computer-assisted facial emotion…
Descriptors: Autism, Pervasive Developmental Disorders, Human Body, Recognition (Psychology)