Page 5 of 41 Results
529 Results
Star CBM Math Technical Manual

This technical manual is a compendium of all relevant information about design, test security, content specification, equating and scale development, reliability and measure precision, validity, norming, and score definitions for Star CBM Math.Email research@renaissance.com to request a copy of the technical manual from the Renaissance Research Department.

Accelerated Reader Awarded Digital Promise's Research-Based Design for Instructional Learning Products Certification

Accelerated Reader has recently received Digital Promise's for Instructional Learning Products certification. This certification is intended to serve as a reliable signal for consumers, including school administrators, educators, and families, looking for evidence of educational technology (edtech) products that are based in research about learning. Renaissance submitted evidence confirming a link between research on how students learn and Accelerated Reader's design.The certification is available online: <https://productcertifications.digitalpromise.org/research-based-certified-products/>.

Converting Measures of Academic Progress (MAP) Reading, Language Usage, and Math RIT Scores to Star Reading and Star Math Scores

The purpose of this project is to statistically link the Northwest Evaluation Association (NWEA) Measures of Academic Progress (MAP) and Star Assessments scales in order to facilitate the conversion of MAP RIT scores to Star scaled scores. Linkages were completed between MAP Reading to Star Reading, MAP Language Usage to Star Reading, and MAP Math to Star Math. The resulting conversion table makes it possible for present or future Star users to translate their MAP RIT scores to Star scores.The full report is available online: <https://docs.renaissance.com/R57878>.

Star CBM Reading Technical Manual

This technical manual is a compendium of all relevant information about design, test security, content specification, equating and scale development, reliability and measure precision, validity, norming, and score definitions for Star CBM Reading.Email research@renaissance.com to request a copy of the technical manual from the Renaissance Research Department.

Impact and Implementation Evaluation of Lalilo: Phase 1 Brief

"In 2021, WestEd partnered with Renaissance Learning to examine the impact of Lalilo on literacy achievement and reading attitudes among first grade students, and to develop an understanding of the link between Lalilo implementation, contextual factors, and program impact. Nineteen first grade teachers and reading specialists, and their students, were recruited to use Lalilo during the 2022-23 school year. This brief provides findings from the evaluation that relate to educators’ impressions of the Lalilo student program and educator dashboard, educators’ reported implementation of Lalilo, and educators’ perceptions of the impact of Lalilo on literacy achievement and student motivation and attitudes towards reading."Citation: Soo Ping Chow, A., Nilsen, K., Boxerman, J., Cruz, J., & Ciancio, D. (2023). Impact and implementation evaluation of Lalilo: Phase 1 brief. WestEd. The study is available online: <https://docs.renaissance.com/R67209>.

Research Brief: A Longitudinal Analysis of Reading Proficiency

Of all aspects of education, none receives as much attention, justifiably so, as early grades reading. The primacy of literacy skills and the necessity of a good start in this area cannot be overstated. This research brief takes a longitudinal look at reading profieciency.The study is available online: <https://docs.renaissance.com/R66912>.

Comparing phoneme recognition systems on the detection and diagnosis of reading mistakes for young children's oral reading evaluation (Lalilo)

From the abstract; "In the scope of our oral reading exercise for 5-8-year-old children, models need to be able to precisely detect and diagnose reading mistakes, which remains a considerable challenge even for state-of-the-art ASR systems. In this paper, we compare hybrid and end-to-end acoustic models trained for phoneme recognition on young learners' speech. We evaluate them not only with phoneme error rates but through detailed phoneme-level misread detection and diagnostic metrics. We show that a traditional TDNNF-HMM model, despite a high PER, is the best at detecting reading mistakes (F1-score 72.6%), but at the cost of a low specificity (74.7%), which is pedagogically critical. A recent Transformer+CTC model, to which we applied our synthetic reading mistakes augmentation method, obtains the highest precision (81.8%) and specificity (86.3%), as well as the highest correct diagnosis rate (70.7%), showing it is the best fit for our application."Citation: Gelin, L., Daniel, M., Pellegrini, T., & Pinquier, J. (2023). Comparing phoneme recognition systems on the detection and diagnosis of reading mistakes for young children's oral reading evaluation. SLaTE 2023-INTERSPEECH 2023 Satellite workshop on Speech and Language Technology in Education, Trinity College Dublin, Ireland-August 18-20, 2023.

Exploring student perceptions and experiences of Nearpod: A qualitative study

From the abstract: "This qualitative study delves into student perceptions and experiences with Nearpod, a web-based educational platform, with a specific focus on understanding its impact on modern education. Thematic analysis of data collected from twenty students provides valuable insights into the platform's effectiveness. The findings reveal that Nearpod plays a crucial role in enhancing student engagement and attentiveness. The interactive nature of Nearpod, including features such as interactive presentations, quizzes, and real-time collaboration tools, significantly contributes to increased student participation. This thematic analysis underscores the platform's potential to create a more engaging and participatory learning environment. Additionally, the study highlights the positive impact of Nearpod's visual aids, simulations, and virtual reality components on student comprehension, making complex concepts more accessible. However, the research also identifies technical glitches and platform stability issues that need attention to ensure a seamless and uninterrupted learning experience. Furthermore, the thematic analysis suggests that greater customization options and a wider array of diverse interactive activities could cater to individual learning preferences, thereby further enhancing student engagement. Despite the study's limitations, such as a small sample size and a focus solely on student perspectives, the thematic analysis underscores Nearpod's potential as a valuable educational tool. It emphasizes the need for ongoing refinement to maximize its effectiveness in the ever-evolving educational landscape. In conclusion, this research highlights the significance of Nearpod in the digitized era of learning and its potential to transform modern education."Citation: Paramita, P. E. (2023). Exploring student perceptions and experiences of Nearpod: A qualitative study. Journal on Education, 5(4), 17560-17570. The study is available online: <https://doi.org/10.31004/joe.v5i4.4249>.

Star Math Technical Manual

This technical manual is a compendium of all relevant information about content and item development, item and scale calibration, reliability and measure precision, validity, norming, classification accuracy, and score definitions for Star Math.Email research@renaissance.com to request a copy of the technical manual from the Renaissance Research Department.

Star Reading Spanish Technical Manual

This technical manual is a compendium of all relevant information about content and item development, item and scale calibration, reliability and measure precision, validity, norming, and score definitions for Star Reading Spanish.Email research@renaissance.com to request a copy of the technical manual from the Renaissance Research Department.

Star Reading Technical Manual

This technical manual is a compendium of all relevant information about content and item development, item and scale calibration, reliability and measure precision, validity, norming, classification accuracy, and score definitions for Star Reading.Email research@renaissance.com to request a copy of the technical manual from the Renaissance Research Department.

Star Early Literacy Technical Manual

This technical manual is a compendium of all relevant information about content and item development, item and scale calibration, reliability and measure precision, validity, norming, classification accuracy, and score definitions for Star Early Literacy.Email research@renaissance.com to request a copy of the technical manual from the Renaissance Research Department.

Star Early Literacy Spanish Technical Manual

This technical manual is a compendium of all relevant information about content and item development, item and scale calibration, reliability and measure precision, validity, norming, and score definitions for Star Early Literacy Spanish.Email research@renaissance.com to request a copy of the technical manual from the Renaissance Research Department.