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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Gedrimiene, Egle; Celik, Ismail; Mäkitalo, Kati; Muukkonen, Hanni – Journal of Learning Analytics, 2023
Transparency and trustworthiness are among the key requirements for the ethical use of learning analytics (LA) and artificial intelligence (AI) in the context of social inclusion and equity. However, research on these issues pertaining to users is lacking, leaving it unclear as to how transparent and trustworthy current LA tools are for their…
Descriptors: Learning Analytics, Accountability, Trust (Psychology), Artificial Intelligence
Scheepers, Cornelia; Eccles, Renata; Abdoola, Shabnam; Graham, Marien; van der Linde, Jeannie – Early Childhood Education Journal, 2021
Emergent literacy abilities of young children are strong predictors of future academic success, however, biological and environmental risks can impact their progress. Parental interventions that promote home-based stimulation of preschoolers can enhance literacy development and ensure school readiness. mHealth technology may be a viable approach…
Descriptors: Emergent Literacy, Preschool Children, Predictor Variables, Environmental Influences
Embacher Martin, Kimberly; McGloin, Rory; Atkin, David – Journal of American College Health, 2018
Objective: This study investigated body dissatisfaction, neuroticism, and sex as potential predictors of calorie-tracking app usage amongst undergraduate college students. Participants: College students (N = 491) were recruited from a large northeastern university in October 2015. Methods: Participants completed an online survey asking about their…
Descriptors: Student Attitudes, Self Concept, Undergraduate Students, Body Composition
Morris, Bradley J.; Owens, Whitney; Ellenbogen, Kirsten; Erduran, Sibel; Dunlosky, John – International Journal of STEM Education, 2019
Background: Informal science activities are critical for supporting long-term learning in STEM fields. However, little is known about the kinds of activities children and their families engage in outside of formal settings and how such activities foster long-term STEM engagement. One gap in the literature is the lack of data that document…
Descriptors: Informal Education, STEM Education, Learning Activities, Measures (Individuals)
Hwang, Wu-Yuin; Hariyanti, Uun; Abdillah, Yan Amal; Chen, Holly S. L. – Educational Technology & Society, 2021
Geometry is essential for mathematics learning given that it is strongly related to our surroundings; however, few studies concentrated on using geometry in our daily life, especially using mobile devices with their sensors. Thus, this study proposed one app, Ubiquitous Geometry (UG), and explored its effects on learning angles and polygons in…
Descriptors: Geometry, Mathematics Instruction, Computer Oriented Programs, Educational Technology
Atanga, Comfort; Jones, Beth A.; Krueger, Lacy E.; Lu, Shulan – Journal of Special Education Technology, 2020
Assistive technology (AT) helps bridge the gap between students with learning disabilities (LD) and their peers without LD. However, this implies a need for teachers to become well-trained and proficient in the use of AT. There are established AT competencies for educators, and AT services professionals must be knowledgeable about AT to select and…
Descriptors: Students with Disabilities, Learning Disabilities, Assistive Technology, Teacher Competencies
Hunter, Leah J.; Hall, Cristin M. – Education and Information Technologies, 2018
Teachers are increasingly using social networks, including social media and other Internet applications, to look for educational resources. This study shares results from a survey examining patterns of social network application use among K-12 teachers in the United States. A sample of 154 teachers (18 males, 136 females) in the United States…
Descriptors: Social Networks, Social Media, Internet, Educational Resources
Harris, Robert V.; King, Stephanie B. – Community College Journal of Research and Practice, 2016
The purpose of this study was to see if a relationship existed between American College Testing (ACT) scores (i.e., English, reading, mathematics, science reasoning, and composite) and student success in a computer applications course at a Mississippi community college. The study showed that while the ACT scores were excellent predictors of…
Descriptors: College Entrance Examinations, Standardized Tests, Scores, Predictor Variables
Amer, Mahmoud – CALICO Journal, 2014
This study explored how four groups of language learners used a mobile software application developed by the researcher for learning idiomatic expressions and collocations. A total of 45 participants in the study used the application for a period of one week. Data for this study was collected from the application, a questionnaire, and follow-up…
Descriptors: Electronic Learning, Educational Technology, Computer Oriented Programs, Learning Processes
Harris, Robert V. – ProQuest LLC, 2014
In this educational study, the research problem was that each semester a variable number of community college students are unable to complete an introductory computer applications course at a community college in the state of Mississippi with a successful course letter grade. Course failure, or non-success, at the collegiate level is a negative…
Descriptors: Standardized Tests, Scores, Computer Science Education, Success