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Showing 1 to 15 of 31 results Save | Export
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Heidi Taveter; Marina Lepp – Informatics in Education, 2025
Learning programming has become increasingly popular, with learners from diverse backgrounds and experiences requiring different support. Programming-process analysis helps to identify solver types and needs for assistance. The study examined students' behavior patterns in programming among beginners and non-beginners to identify solver types,…
Descriptors: Behavior Patterns, Novices, Expertise, Programming
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Liao, Manqian; Patton, Jeffrey; Yan, Ray; Jiao, Hong – Measurement: Interdisciplinary Research and Perspectives, 2021
Item harvesters who memorize, record and share test items can jeopardize the validity and fairness of credentialing tests. Item harvesting behaviors are difficult to detect by the existing statistical modeling approaches due to the absence of operational definitions and the idiosyncratic nature of human behaviors. Motivated to detect the…
Descriptors: Data Analysis, Cheating, Identification, Behavior Patterns
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Chung, Cheng-Yu; Hsiao, I-Han – International Educational Data Mining Society, 2021
The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…
Descriptors: Models, Drills (Practice), Pacing, Computer Uses in Education
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van den Beemt, Antoine; Buys, Joos; van der Aalst, Wil – International Review of Research in Open and Distributed Learning, 2018
The increasing use of digital systems to support learning leads to a growth in data regarding both learning processes and related contexts. Learning Analytics offers critical insights from these data, through an innovative combination of tools and techniques. In this paper, we explore students' activities in a MOOC from the perspective of personal…
Descriptors: Online Courses, Student Behavior, Behavior Patterns, Academic Achievement
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Pastor, Dena A.; Ong, Thai Q.; Strickman, Scott N. – Educational Assessment, 2019
The trustworthiness of low-stakes assessment results largely depends on examinee effort, which can be measured by the amount of time examinees devote to items using solution behavior (SB) indices. Because SB indices are calculated for each item, they can be used to understand how examinee motivation changes across items within a test. Latent class…
Descriptors: Behavior Patterns, Test Items, Time, Response Style (Tests)
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Sun, Jerry Chih-Yuan; Lin, Che-Tsun; Chou, Chien – International Review of Research in Open and Distributed Learning, 2018
This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study's participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration…
Descriptors: Student Motivation, Student Behavior, Reading, Behavior Patterns
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Zonca, Joshua; Coricelli, Giorgio; Polonio, Luca – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the…
Descriptors: Eye Movements, Individual Differences, Task Analysis, Futures (of Society)
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Sulak, Tracey N. – Educational Studies, 2018
A positive school climate impacts students by promoting positive relations among students, staff and faculty of the school. The current study used latent class analysis and multinomial regression with R3STEP to analyse patterns of negative behaviours in schools and test the association of these patterns with structural variables like school size,…
Descriptors: Educational Environment, Regression (Statistics), Bullying, Student Behavior
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Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2016
The extraction of student behavior is an important task in educational data mining. A common approach to detect similar behavior patterns is to cluster sequential data. Standard approaches identify clusters at each time step separately and typically show low performance for data that inherently suffer from noise, resulting in temporally…
Descriptors: Student Behavior, Data Analysis, Behavior Patterns, Multivariate Analysis
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Montero Perez, Maribel; Peters, Elke; Desmet, Piet – Computer Assisted Language Learning, 2018
While most studies on L2 vocabulary learning through input have addressed learners' vocabulary uptake from written text, this study focuses on audio-visual input. In particular, we investigate the effects of enhancing video by (1) adding different types of L2 subtitling (i.e. no captioning, full captioning, keyword captioning, and glossed keyword…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Linguistic Input
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Marzell, Miesha; Morrison, Christopher; Mair, Christina; Moynihan, Stefanie; Gruenewald, Paul J. – Journal of Drug Education, 2015
This study examined drinking patterns of three different college student groups: (a) intercollegiate athletes, (b) intramural/club athletes, and (c) nonathletes. Additionally, we investigated whether a relationship exists between drinking setting and risk of increased drinking. We analyzed data on the athletic involvement, drinking behaviors, and…
Descriptors: Drinking, Risk, Disadvantaged Environment, College Athletics
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Rinne, Tiffany; Steel, G. Daniel; Fairweather, John – Creativity Research Journal, 2013
It is a widely held belief that culture is a factor that influences creativity. The influence of culture on creativity is, however, relatively understudied and the majority of creativity research focuses on creativity at the level of the individual or organization. In this article, the relationship between Hofstede's cultural values…
Descriptors: Creativity, Individualism, Cultural Influences, Values
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Eilam, Efrat; Trop, Tamar – Education and Urban Society, 2014
The present study revisits a subfield of environmental education: significant life experiences, which studies the influences that shape the development of environmental stewardship. In the present study, we examine the effect of various formative experiences on a group of adults and analyze the role of school, as a formative influence on the…
Descriptors: Environmental Education, School Role, Factor Analysis, Attitude Measures
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Rogers, Mary E.; Creed, Peter A.; Searle, Judy; Nicholls, Serena L. – Studies in Higher Education, 2016
Medical trainees are at risk of psychological distress due to training workload demands. Dropping out of medicine has hidden and real costs to both the public and the individual. Using quantitative and qualitative methodologies, this study assessed differences in stress and coping strategies between those serious and not serious about dropping out…
Descriptors: Dropouts, Medical Students, Coping, Medical Education
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Hou, Huei-Tse – Computers & Education, 2012
Massively multiple online role-playing games (MMORPGs) are very popular among students. Educational MMORPGs, however, are very rare, as are studies on gamers' behavioral patterns during such games. The current study is an empirical observation and analysis of the behavioral patterns of 100 gamers participating in an educational MMORPG called…
Descriptors: Games, Observation, Multivariate Analysis, Gender Differences
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