Identifying Effective Classroom Practices Using Student Achievement Data

2011 ◽  
Vol 46 (3) ◽  
pp. 587-613 ◽  
Author(s):  
Thomas J. Kane ◽  
Eric S. Taylor ◽  
John H. Tyler ◽  
Amy L. Wooten
Keyword(s):  
Student Achievement ◽  
Classroom Practices ◽  
Achievement Data

scholarly journals Linking Instruction and Student Achievement. A research design for a new generation of classroom studies

2017 ◽  
Vol 11 (3) ◽  
pp. 10 ◽  
Author(s):  
Kirsti Klette ◽  
Marte Blikstad-Balas ◽  
Astrid Roe
Keyword(s):  
Student Achievement ◽  
Large Scale ◽  
Classroom Practices ◽  
Instructional Quality ◽  
Theoretical Background ◽  
Video Data ◽  
Data Sources ◽  
Future Research ◽  
Ongoing Research ◽  
Achievement Data

AbstractEducational research into instructional quality would benefit from macro- and meso-level instructional data – such as achievement data or large-scale student surveys – in relation to data from the micro level – such as detailed analyses of classroom practices. Several scholars have specifically asked for studies that correlate achievement data with records of learning processes and teaching strategies, and ongoing projects attempting to do so have shown promising results. Linking different data sources on instructional quality is quite demanding because it requires a concerted effort by researchers from different fields of expertise and different traditions. A main ambition of our ongoing research project is precisely to advance such integration. As the title of the project reveals, we are dedicated to Linking Instruction and Student Achievement (LISA). In this article, we start by providing a theoretical background and status of knowledge related to instructional quality. We go on to argue that video data has shown particular promise in studies aiming to obtain systematic data from a range of classrooms in order to compare classroom practices. We then present the three components of the LISA project’s design – student perception surveys, systematic classroom observation, and achievement gains in national tests – and the value of combining these three data sources. Finally, we will outline some of our findings thus far and point to future research possibilities.Key words: instructional quality; classroom practices; video studies; mathematics; language arts Å koble undervisning med elevprestasjoner - Forskningsdesign for en ny generasjon klasseromsstudierSammendragFor å studere undervisningskvalitet vil det være en fordel å kombinere data fra et makro og meso- nivå  med detaljerte studier av hva som skjer i klasserommet. Flere har etterlyst studier som ser på sammenhenger mellom målbar faglig fremgang og lærerens undervisning. Å få til slike studier er krevende, da det forutsetter et tett samarbeid mellom forskere fra ulike felt med ulik ekspertise innenfor nokså ulike forskningstradisjoner. En hovedambisjon i vårt pågående forskningsprosjekt er nettopp å få til en slik integrasjon. Som tittelen avslører, er vi dedikert til «Linking Instruction and Student Achievement (LISA)». I denne artikkelen presenterer vi det teoretiske og empiriske grunnlaget knyttet til undervisningskvalitet. Videre argumenterer vi for verdien av videodata i studier som sammenligner undervisningspraksiser fra ulike klasserom på en systematisk måte. Deretter presenterer vi de tre datakildene i LISA-prosjektets forskningsdesign – spørreskjemaer til elever om deres oppfatninger om lærerens undervisning, systematiske klasseromsobservasjoner, og målt fremgang på nasjonale prøver i lesing og regning. Verdien av å kombinere nettopp disse tre datakildene vil også bli diskutert. Avslutningsvis deler vi noen av våre tidlige forskningsfunn.Nøkkelord: undervisningskvalitet; klasseromspraksis; video studier; matematikk; norskfaget

scholarly journals Identifying Effective Classroom Practices Using Student Achievement Data

2010 ◽  
Author(s):  
Thomas Kane ◽  
Eric Taylor ◽  
John Tyler ◽  
Amy Wooten
Keyword(s):  
Student Achievement ◽  
Classroom Practices ◽  
Achievement Data

Identifying Effective Classroom Practices Using Student Achievement Data

2011 ◽  
Vol 46 (3) ◽  
pp. 587-613 ◽  
Author(s):  
Thomas J. Kane ◽  
Eric S. Taylor ◽  
John H. Tyler ◽  
Amy L. Wooten
Keyword(s):  
Student Achievement ◽  
Classroom Practices ◽  
Achievement Data

scholarly journals APPLICATION OF HOMEROOM GUIDANCE METHODS IN IMPROVING STUDENT'S LEARNING ACHIEVEMENT

2020 ◽  
Vol 1 (2) ◽  
pp. 33-43
Author(s):  
Rusman C Rumegang
Keyword(s):  
Student Achievement ◽  
Data Analysis ◽  
Junior High School ◽  
Analysis Data ◽  
Research Subjects ◽  
Learning Achievement ◽  
Achievement Data ◽  
Improve Student Achievement ◽  
Class Viii ◽  
Improving Student Achievement

The research objective was to monitored the implementation of home guidance in improving student achievement in class VIII at State Junior High School 3 Tondano. This research was a counseling action research with four stages: planning, implementing, observing, and reflecting. The research subjects were seven people who had low learning achievement. Data were collected by using two methods of observation and interviews. Data analysis used qualitative data analysis, data reduction, data display, and data collection. The results showed that the homeroom method could improve student achievement with two cycles of application time.

scholarly journals OPTIMIZATION OF GUIDED DISCOVERY LEARNING MODELS TO INCREASE STUDENTS' INTEREST IN MATHEMATICS

2020 ◽  
Vol 9 (1) ◽  
pp. 69
Author(s):  
Nurhayani Nurhayani ◽  
Raden Rosnawati ◽  
Tuslikhatun Amimah
Keyword(s):  
Student Achievement ◽  
Learning Outcomes ◽  
Mathematics Learning ◽  
Discovery Learning ◽  
Student Interest ◽  
Learning Achievement ◽  
Guided Discovery ◽  
Achievement Data ◽  
Average Student ◽  
Learning Mathematics

Student interest in learning is a very important factor in determining student success in learning mathematics. Various attempts were made by educators and educational researchers to increase student interest in learning. This research is a classroom action research model by Kemmis and Mc Taggart that aims to describe the application of Guided Discovery learning in optimizing students' interest in learning mathematics. The increase in students' interest in learning mathematics is also supported by the results of student achievement. The research data consisted of students' interest in learning mathematics, learning achievement data, and observations of learning outcomes. Data on learning interest in mathematics is obtained through a questionnaire, data on learning achievement is obtained through tests and data on the results of observations of learning achievement are obtained through observation sheets during learning. In general, the results of the study showed that the average student interest in learning mathematics at 83.93 reached the good category. The completeness of student achievement test results reached 83.87% of students achieving the minimum completeness criteria with an average student score of 85.61. The percentage of teacher and student learning outcomes respectively at 83.80% and 76.91% reached the good category. Therefore it can be concluded that the Guided Discovery learning model can be applied to optimize students' interest in mathematics learning especially by paying attention to the results of reflections from this study.

Finance equity, student achievement, and justice

2014 ◽  
Vol 52 (6) ◽  
pp. 812-832 ◽  
Author(s):  
Robert C. Knoeppel ◽  
Patricia F. First ◽  
Matthew R. Della Sala ◽  
Chinasa A. Ordu
Keyword(s):  
Student Achievement ◽  
Distribution Systems ◽  
Distribution Model ◽  
Judicial Interpretation ◽  
Distribution Models ◽  
Content Type ◽  
Achievement Data ◽  
State Education ◽  
Accountability Policy ◽  
Equity Ratio

Purpose – The purpose of this paper is to explore the connections between state education finance distribution models and student achievement. To date, lawsuits challenging the constitutionality of state finance systems have been heard in 45 states; the judicial interpretation of the requirement to provide equality of educational opportunity has led to changes in finance distribution models as well as the implementation of accountability policy. Design/methodology/approach – The study included district level finance and achievement data from five states. Researchers reviewed the relevant judicial interpretation of the finance system, the accountability policy, and the finance distribution system. Next, researchers calculated the equity of both the finance distribution model and measures of student achievement. Finally, an equity ratio was developed and calculated to discern the degree to which state distribution models resulted in equitable measures of student achievement. Findings – Findings reveal that no state has both an equitable system of finance and equitable measures of student achievement. The way that states define proficiency significantly impacts the percentage of students that reach proficiency. This impacts the provision of equality of opportunity. Originality/value – Traditionally, the measurement of equity has only been applied to finance distribution systems. The authors of this paper have applied these concepts to measures of student achievement and aligned the two concepts with the equity ratio. Since states are charged with providing sufficient resources to enable students to reach proficiency, an understanding of the interaction between resources and achievement is a critical tool in analyzing the provision of equal opportunity.

scholarly journals The Impact of Administrative Decisions on Implementation Fidelity of Direct Instruction and Student Achievement

2019 ◽  
Vol 43 (1) ◽  
pp. 18-28 ◽  
Author(s):  
Jean Stockard
Keyword(s):  
Student Achievement ◽  
Teacher Preparation ◽  
Teacher Training ◽  
Direct Instruction ◽  
Implementation Fidelity ◽  
Effect Sizes ◽  
Achievement Data ◽  
Training Teacher ◽  
Teacher Fidelity ◽  
The Impact

This article examined the extent to which administrative decisions that affected the implementation fidelity of Direct Instruction programs were related to student achievement. Data from three studies showed that administrative decisions that disregarded recommended protocols regarding teacher training, teacher preparation, and student schedules were related to lower levels of teacher fidelity, student progress at mastery, and student achievement. Most results were statistically significant and had large associated effect sizes. Implications for practice and policy are discussed.

Sign in / Sign up

Export Citation Format

Share Document