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Jeroen Dera – Literacy, 2024
Despite the widespread popularity of online reading challenges on platforms like Goodreads and The StoryGraph, research on this phenomenon has been mostly absent. This article addresses this gap by examining the motivations of adolescent participants in reading challenges, the outcomes of their participation and the implications for their reading…
Descriptors: Reading Programs, Computer Use, Internet, Participation
Bell, Ashley Rebecca; Tennfjord, Merete Kolberg; Tokovska, Miroslava; Eg, Ragnhild – Journal of Adolescent & Adult Literacy, 2023
Social media platforms rely on algorithms to filter and select content, thereby personalizing every individual's social media experience. Many use social media without awareness of this personalization and its impact, pointing to a need to both understand and improve literacy among active social media users. This qualitative study addresses…
Descriptors: Social Media, Media Literacy, Adolescents, Adolescent Attitudes
Ashwaq Alsoubai – ProQuest LLC, 2024
Computational risk detection holds promise for shielding particularly vulnerable groups from online harm. A thorough literature review on real-time computational risk detection methods revealed that most research defined 'real-time' as approaches that analyze content retrospectively as early as possible or as preventive approaches to prevent risks…
Descriptors: Adolescents, Algorithms, Time, Computer Mediated Communication
Tayebeh Sargazi Moghadam; Ali Darejeh; Mansoureh Delaramifar; Sara Mashayekh – Interactive Learning Environments, 2024
Learners' emotional states might change during the learning process, and unpredictable variations of a person's emotions raise the demand for regular assessment of feelings during learning. In this paper, an AI-based decision framework is proposed and implemented for e-learning systems that identify suitable micro-brake activities based on the…
Descriptors: Artificial Intelligence, Decision Making, Electronic Learning, Psychological Patterns
Ruppert, Janet – ProQuest LLC, 2023
Teenagers today are coming of age under unprecedented, pervasive networks of institutional mass surveillance technologies. Surveillance technologies spreading in youth spaces are impacting young people's prospects today and are expected to continue in the future. Additionally, today's teenagers will be tomorrow's decision-makers, tasked with…
Descriptors: Social Justice, Observation, Telecommunications, Algorithms
Hyun-Bin Hwang – Language Learning, 2025
This study explored the effects of practice schedule on the processing of new second language (L2) vocabulary and resulting knowledge. Participants were 107 low-achieving adolescents attending a vocational high school in Korea. They were randomly assigned to one of three practice groups and completed a L2 English-L1 Korean paired-associates…
Descriptors: Low Achievement, Adolescents, Second Language Learning, Vocabulary Development
Ralph Vacca – Information and Learning Sciences, 2024
Purpose: This paper investigates the digital information practices of Afro-Latino youth, focusing on their engagement with mental health content on TikTok. It aims to understand how racial and ethnic identity dimensions shape their information behaviors in digital spaces. Design/methodology/approach: Employing qualitative methods, the study…
Descriptors: Algorithms, African Americans, Hispanic Americans, Youth
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Hu, Jie; Peng, Yi; Chen, Xiao – IEEE Transactions on Learning Technologies, 2023
The prevalence of information and communication technologies (ICTs) has brought about profound changes in the field of reading, resulting in a large and rapidly growing number of young digital readers. The article intends to identify key contextual factors that synergistically differentiate high and low performers, high and average performers, and…
Descriptors: Decoding (Reading), Educational Technology, Information Technology, Reading Skills

Dashiell, William; Killian, Paul W., Jr. – Perceptual and Motor Skills, 1981
Eighteen college students solved addition problems using the Hutchings Low Fatigue Addition Algorithm, which requires a written record of running sums, and the standard algorithm, which does not. Students using the Hutchings algorithm had significantly higher reaction times to a tone, indicating that the Hutchings method requires less cognitive…
Descriptors: Addition, Adolescents, Algorithms, Cognitive Processes

Kim, Sehwan; Wurster, Leslie; Williams, Charles; Hepler, Nancy – Journal of Drug Education, 1998
The first of three articles that develop a framework for county-based prevention-resource-allocation algorithms based on the aggravated need for substance-abuse-prevention services estimated at the county level. Algorithm development is based on (1) statewide student drug survey, and (2) a set of social indicators routinely published by agencies…
Descriptors: Adolescents, Algorithms, Case Studies, Children

Hasemann, Klaus – Educational Studies in Mathematics, 1981
Students recognized as less successful individuals in mathematics are tested for their understanding of fractions. The data reveals that most were only able to apply remembered rules to problems without actually knowing if the rule worked for the given situation. (MP)
Descriptors: Adolescents, Algorithms, Fractions, Learning Problems

Johnson, Jeffrey G.; And Others – Educational and Psychological Measurement, 1996
The extent to which adolescents diagnosed with one or more personality disorders through the Personality Diagnostic Questionnaire-Revised were at an elevated risk of substance abuse was studied with 441 undergraduates. Those with one or more personality disorders showed higher levels of psychiatric symptomatology and substance use. (SLD)
Descriptors: Adolescents, Algorithms, At Risk Persons, Behavior Disorders
Hofmann, Rich; Sherman, Larry – 1991
Using data from 135 sixth-, seventh-, and eighth-graders between 11 and 15 years old attending a middle school in a suburban Southwest Ohio school district, two hypothesized models of the factor structures for the Coopersmith Self-Esteem Inventory were tested. One model represents the original Coopersmith factor structure, and the other model is…
Descriptors: Adolescents, Algorithms, Chi Square, Factor Structure