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.…

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…

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…

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…

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…

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…

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…

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…

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…

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…

Describes use of a computerized simulation to study prediction in a complex environment (i.e., bus traffic control). Nature of the task, presentation method, number of repetitions, and length of time taken for prediction were measured. Prediction was significantly affected by all factors except number of repetitions. No learning effect was…

Survey of Ohio State University faculty members and administrators examines their attitudes and perceptions regarding need for, and potential use of, a computerized database to increase efficiency of graduate school administration, and to collect and generate data for academic departments' use in improving programs. Proposed database design is…

Reviews current literature about personal, demographic, situational, and cognitive attributes that affect computer-aided decision making. The effectiveness of computer-aided decision making is explored in relation to decision quality, effectiveness, and confidence. Studies of the effects of age, anxiety, cognitive type, attitude, gender, and prior…

A questionnaire, designed to assess attitudes and anxiety levels, was administered to 96 Maine Cooperative Extension personnel prior to receiving computer training. For these workers, no age, sex, or job level relationships to attitudes about computers were found. Perceptions of one's ability in math did predict positive attitudes. (JHZ)

Research proposals funded by the National Academic Advising Association are summarized. Topics include adult student retention factors, high-risk students' learning processes, undergraduate engineering performance predictors, traditional and computerized advising in research universities, re-entry women, advisor training through case studies,…