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Recent Submissions

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Predicting Language Performance from Narrative Language Samples
(American Speech-Language-Hearing Association, 2022-01-06) Springle, Alisha P.; Murphy, Kimberly A.; Sultani, Mollee J.
Purpose: Analysis of narrative language samples is a recommended clinical practice in the assessment of children’s language skills, but we know little about how results from such analyses relate to overall oral language ability across the early school years. We examined the relations between language sample metrics from a short narrative retell, collected in kindergarten, and an oral language factor in grades kindergarten through 3. Our specific questions were to determine the extent to which metrics from narrative language sample analysis are concurrently related to language in kindergarten and predict language through grade 3. Method: Participants were an unselected sample of 284 children who were administered a narrative retell task in kindergarten and a battery of vocabulary and grammar measures in kindergarten through grade 3. Language samples were analyzed for number of different words (NDW), mean length of utterance (MLU), and a relatively new metric, percent grammatical utterances (PGU). Structural equation models were used to estimate the concurrent and longitudinal relationships. Results: The narrative language sample metrics were consistently correlated with the individual vocabulary and grammar measures as well as the language factor in each grade, and also consistently and uniquely predicted the language factor in each grade. Standardized path estimates in the structural equation models ranged from .20 to .39. Conclusion: This study found narrative language sample metrics to be predictive, concurrently and longitudinally, of a latent factor of language from kindergarten through grade 3. These results further validate the importance of collecting and analyzing narrative language samples, to include PGU along with more traditional metrics, and point to directions for future research. Keywords: narrative, language, language sample analysis, assessment
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Integrating Immersive Experiences to Instruction through Breakout EDU: Lessons Learned
(2022-07-18) Kwong, Vincci; Falzon, Judith; Feighery, Julie
This study employed an escape room motif to engage students to use information literacy course material to solve puzzles. Students practiced research techniques in a classroom environment that bypassed their expectations of traditional course instruction. Instructor objectives were to increase student engagement with the course material, and to foster teamwork among students in a cooperative learning environment. Authors initially obtained 9 kits from Breakout EDU, a company specializing in immersive games. Games were devised for three of the course units, with each unit identifying 4-5 information literacy skills or concepts. The puzzles were focused on reinforcement of the key concepts. After each escape room class session, students completed a short survey. At the end of the semester students completed another survey about their experiences. Over 80% of students indicated the games helped them understand course concepts. Comparisons of final grades in the gamified courses with previous, non-gamified courses revealed that students achieved more A’s and fewer D’s and F’s in the gamified courses. Future directions for study include flipping game design to student groups, and further analysis of correlations between concepts learned through traditional teaching techniques and those learned in Breakout EDU classes.
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The Coevolution of Mobile OS User Market and Mobile Application Developer Community
(Compusoft, 2013) Liguo, Yu
Mobile computing is becoming increasingly popular. Accordingly, mobile OS (operating systems) are becoming standard platforms for regular computer and phone users. This paper studies the evolution and the current status of mobile OS user market and mobile application developer community. In particular, we study how smartphone mobile OS user market coevolves with its application developer community. Through this study, we highlight the symbiosis relations between mobile OS user market and mobile apps developer community.
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Habitat for Humanity: Understanding Community Readiness Project Group 3
(Indiana University Center for Rural Engagement, 2019-05) Burdine, Samantha; Quigley, Annie; Barraza, Alexia; Renfro, Bailee; McCune, Carsen; Saecker, Nikki; Pickett, Gwen; Hanley, Lain; Gilliland, Madison
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Habitat for Humanity: Understanding Community Readiness Project Group 2
(Indiana University Center for Rural Engagement, 2019-04-22) Hardy, Meredith; Gordon, Kelsey; Comella, Elise; Verbeke, Hayley; Woolf, Matthew; Henderson, Stephanie; Rabinowitz, Perri; Millsaps, Sophie