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Liefooghe, Baptist; Hughes, Sean; Schmidt, James R.; De Houwer, Jan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Automaticity can be established by consistently reinforcing contingencies during practice. During reinforcement learning, however, new relations can also be derived, which were never directly reinforced. For instance, reinforcing the overlapping contingencies A [right arrow] B and A [right arrow] C, can lead to a new relation B-C, which was never…
Descriptors: Reinforcement, Visual Stimuli, Interference (Learning), Reaction Time
Mikalsen, Hilde Kristin; Lagestad, Pål Arild – Sport, Education and Society, 2020
The aim of this article is to shed light on the lifeworld of thirteen-year-olds with high and low activity levels in relation to movement activities. Insights on this topic could serve as important resources for all those who contribute to the development and life quality of young teenagers through various contexts involving movement activities.…
Descriptors: Early Adolescents, Physical Activity Level, Adolescent Attitudes, Movement Education
Evans, William S.; Hula, William D.; Quique, Yina; Starns, Jeffrey J. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Aphasia is a language disorder caused by acquired brain injury, which generally involves difficulty naming objects. Naming ability is assessed by measuring picture naming, and models of naming performance have mostly focused on accuracy and excluded valuable response time (RT) information. Previous approaches have therefore ignored the…
Descriptors: Aphasia, Pictorial Stimuli, Brain, Injuries
Allen, Sue; Kastelein, Kate; Mokros, Jan; Atkinson, Jennifer; Byrd, Scott – International Journal of Science Education, Part B: Communication and Public Engagement, 2020
We describe the research and development of an NSF-funded, five-year experimental program to strengthen informal (out-of-school) STEM learning by youth in five rural communities. The central component of the model was a cadre of community members known as 'STEM Guides' who were hired to work as brokers between youth and the STEM learning resources…
Descriptors: STEM Education, Rural Areas, Youth Programs, Community Programs
Crowther, Gregory J.; Wessels, Jason; Lesser, Lawrence M.; Breckler, Jennifer L. – Advances in Physiology Education, 2020
The possible benefits of using music to enhance learning of STEM content are numerous, diverse, and largely unproven. We sought to determine which (if any) of these possible benefits are commonly experienced by undergraduate students and are thus especially worthy of further investigation. Four hundred ninety-three students in nine physiology…
Descriptors: Undergraduate Students, Student Attitudes, Singing, Music
Lysiak, Malgorzata – British Journal of Guidance & Counselling, 2020
The Dialogical Temporal Chair Technique (DTCT) is a method based on Hermans's dialogical self theory combined with Gestalt and cognitive-behavioural therapeutic techniques. The Dialogical Temporal Chair Technique is a method of activating temporal voices. Three chairs symbolising the past, present and future are used to help subjects create a…
Descriptors: Counseling Techniques, Problem Solving, Decision Making, Time
Ohl, Alisha; Schelly, David; Caramia, Sierra; Gill, Amanpreet; Bennett, Alexandra; Watts, Mary Page – Journal of Occupational Therapy, Schools & Early Intervention, 2020
We examined transitions occurring throughout the school day in an elementary school, sampling from kindergarten, second grade, and fourth grade classrooms. Unobtrusive observations and descriptive notetaking were used to gather data during six typical school days in the second half of the school year. Data were coded by committee to categorize the…
Descriptors: Occupational Therapy, Kindergarten, Grade 2, Grade 4
Patnaik, Arpita; Venator, Joanna; Wiswall, Matthew; Zafar, Basit – National Bureau of Economic Research, 2020
In this paper, we estimate a rich model of college major choice using a panel of experimentally-derived data. Our estimation strategy combines two types of data: data on self-reported beliefs about future earnings from potential human capital decisions and survey-based measures of risk and time preferences. We show how to use these data to…
Descriptors: College Students, Majors (Students), Decision Making, Risk
Sinharay, Sandip; van Rijn, Peter – Grantee Submission, 2020
Response-time models are of increasing interest in educational and psychological testing. This paper focuses on the lognormal model for response times (van der Linden, 2006), which is one of the most popular response-time models. Several existing statistics for testing normality and the fit of factor-analysis models are repurposed for testing the…
Descriptors: Educational Testing, Psychological Testing, Goodness of Fit, Factor Analysis
Illinois Community College Board, 2020
Community colleges report opening spring term enrollment figures to the Illinois Community College Board using a brief web based survey. These figures reflect student enrollments as of the end of registration for the Spring 2020 semester--usually the 10th day of the term. Overall, compared to the same term one year ago, statewide Spring 2020…
Descriptors: Community Colleges, Two Year College Students, Enrollment Rate, Enrollment Trends
Dieter, Kevin C.; Studwell, Jamie; Vanacore, Kirk P. – International Educational Data Mining Society, 2020
Educators are increasingly embracing personalization in online and blended learning programs as a means of focusing students' investment of time and energy into learning plans that are best tailored to their individual needs. When personalized learning tools are deployed into structured learning environments like schools, however, educators and…
Descriptors: Individualized Instruction, Student Behavior, Time Management, Reading Programs
Aghajari, Zhila; Unal, Deniz Sonmez; Unal, Mesut Erhan; Gómez, Ligia; Walker, Erin – International Educational Data Mining Society, 2020
Response time has been used as an important predictor of student performance in various models. Much of this work is based on the hypothesis that if students respond to a problem step too quickly or too slowly, they are most likely to be unsuccessful in that step. However, something that is less explored is that students may cycle through…
Descriptors: Reaction Time, Predictor Variables, Reading Comprehension, Task Analysis
Alexandria N. Ardissone; Jennifer C. Drew; Eric W. Triplett – Journal for STEM Education Research, 2020
Although many studies demonstrate that online education is as good as face-to-face education with regard to learning gains, course grades, and other near-term metrics, there is a major gap in exploring the long-term outcomes of online vs. face-to-face education, particularly in STEM programs. In this study, the effect of course delivery method on…
Descriptors: Electronic Learning, In Person Learning, Lecture Method, Undergraduate Study
Toni L. Pickens – ProQuest LLC, 2020
The first year of a student's college education commonly presents new and challenging demands, which requires concentrated institutional support. The diverse population of community college students in particular, typically face increased obstacles on the journey to degree completion. First-year Experience courses have been established as a…
Descriptors: Faculty Development, Beginning Teachers, Adjunct Faculty, College Faculty
Alyson E. Lischka; Kyle M. Prince; Samuel D. Reed – Mathematics Teacher: Learning and Teaching PK-12, 2020
Encouraging students to persevere in problem solving can be accomplished using extended tasks where students solve a problem over an extended time. This article presents a structure for use of extended tasks and examples of student thinking that can emerge through such tasks. Considerations for implementation are provided.
Descriptors: Mathematics Instruction, Persistence, Problem Solving, Time Factors (Learning)

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