Teaching Educators How to Use Student Assessment Data to Improve Instruction

2005 ◽  
Vol 86 (9) ◽  
pp. 700-706 ◽  
Author(s):  
Kathryn Parker Boudett ◽  
Richard J. Murnane ◽  
Elizabeth City ◽  
Liane Moody
Keyword(s):  
Student Assessment ◽  
Assessment Data ◽  
Improve Instruction

scholarly journals Designing and developing an app to perform Hofstee cut-off calculations

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 450
Author(s):  
Ken Masters ◽  
Nadia Al-Wardy
Keyword(s):  
Medical Education ◽  
Student Assessment ◽  
Education Student ◽  
Assessment Data ◽  
Traditional Methods ◽  
Android App

Determining a Hofstee cut-off point in medical education student assessment is problematic: traditional methods can be time-consuming, inaccurate, and inflexible.  To counter this, we developed a simple Android app that receives raw, unsorted student assessment data in .csv format, allows for multiple judges’ inputs, mean or median inputs, calculates the Hofstee cut-off mathematically, and outputs the results with other guiding information. The app contains a detailed description of its functionality.

scholarly journals Insights into student assessment outcomes in rural clinical campuses

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Boaz Shulruf ◽  
Gary Velan ◽  
Lesley Forster ◽  
Anthony O’Sullivan ◽  
Peter Harris ◽  
...  
Keyword(s):  
Univariate Analysis ◽  
Student Assessment ◽  
Wagga Wagga ◽  
Learning Resources ◽  
Linear Regression Models ◽  
Assessment Data ◽  
E Learning ◽  
Assessment Outcomes ◽  
The Impact

Abstract Background There is an ongoing debate about the impact of studying medicine in rural vs. metropolitan campuses on student assessment outcomes. The UNSW Medicine Rural Clinical School has five main campuses; Albury-Wodonga, Coffs Harbour, Griffith, Port Macquarie and Wagga Wagga. Historical data of student assessment outcomes at these campuses raised concerns regarding potential biases in assessment undertaken, as well as the availability and quality of learning resources. The current study aims to identify the extent to which the location of examination (rural versus metropolitan) has an impact on student marks in OSCEs. Methods Assessment data was employed for this study from 275 medical students who sat their final examinations in Years 3 and 6 of the undergraduate Medicine program at UNSW in 2018. The data consists of matched student assessment results from the Year 3 (Y3) MCQ examination and OSCE, and from the Year 6 (Y6) MCQ, OSCE and management viva examinations. The analysis used Univariate Analysis of Variance and linear regression models to identify the impact of site of learning and site of examination on assessment outcomes. Results The results demonstrate that neither site of learning nor site of examination had any significant impact on OSCE or Management Viva assessment outcomes while potential confounders are controlled. Conclusion It is suggested that some of the supposed disadvantages inherent at rural campuses are effectively mitigated by perceived advantages; more intensive interaction with patients, the general and medical communities at those sites, as well as effective e-learning resources and moderation of assessment grades.

Data use in New Zealand secondary schools: Tracking, traffic lights, and triage

2020 ◽  
Vol 14 ◽  
pp. 89-111
Author(s):  
Lisa Dyson ◽  
Keyword(s):  
New Zealand ◽  
Secondary Schools ◽  
Structural Changes ◽  
Student Assessment ◽  
Data Use ◽  
Unintended Consequences ◽  
Assessment Data ◽  
Traffic Light ◽  
Traffic Lights ◽  
Self Evaluation

Secondary schools in New Zealand use assessment data for school selfevaluation, but little research has explored exactly how schools are using these data. This case study of selected high schools explored the perspectives of teachers and school leaders whose schools had recently implemented a student assessment tracking and monitoring “traffic light” tool. Informed by a realist approach, the study involved a series of three focus groups followed by individual interviews with 13 educators at four secondary schools that had been identified as effective at school self-evaluation. The results highlight that data use processes led to changes in practice in teachers’ work and contributed to structural changes in these schools. This study shows that data use can be a powerful force, with the potential for good, but it also raises some concerns about the unintended consequences of the use of assessment data.

scholarly journals Visual Analytics Design for Students Assessment Representation based on Supervised Learning Algorithms

2021 ◽  
Vol 11 (2) ◽  
pp. 43-49
Author(s):  
Adlina Abdul Samad ◽  
Marina Md Arshad ◽  
Maheyzah Md Siraj ◽  
Nur Aishah Shamsudin
Keyword(s):  
Decision Tree ◽  
Visual Analytics ◽  
Student Assessment ◽  
Analytical Models ◽  
Support Vector ◽  
Assessment Data ◽  
Tree Model ◽  
Supervised Learning Algorithms ◽  
Tree Models ◽  
Intended Learning Outcomes

Visual Analytics is very effective in many applications especially in education field and improved the decision making on enhancing the student assessment. Student assessment has become very important and is identified as a systematic process that measures and collects data such as marks and scores in a manner that enables the educator to analyze the achievement of the intended learning outcomes. The objective of this study is to investigate the suitable visual analytics design to represent the student assessment data with the suitable interaction techniques of the visual analytics approach. sheet. There are six types of analytical models, such as the Generalized Linear Model, Deep Learning, Decision Tree Model, Random Forest Model, Gradient Boosted Model, and Support Vector Machine were used to conduct this research. Our experimental results show that the Decision Tree Models were the fastest way to optimize the result. The Gradient Boosted Model was the best performance to optimize the result.

scholarly journals Implementation of the PIECES Method in the Student Assessment System of SMPN 201 Jakarta

2021 ◽  
Vol 1 (9) ◽  
pp. 988-998
Author(s):  
Sara Yemima Br Ambarita ◽  
Sugeng Sugeng
Keyword(s):  
Data Processing ◽  
Web Application ◽  
Human Life ◽  
Student Assessment ◽  
Processing System ◽  
Assessment System ◽  
Life Assessment ◽  
Assessment Data ◽  
Human Needs ◽  
The Many

The development of technology has developed very rapidly along with the many human needs. Web technology systems are one of the most frequently used applications in everyday human life. Assessment in the learning process is important, so that good value data processing will produce report cards as a good evaluation result, besides that the results of value data processing will be used as one of the benchmarks for the success of students taking education in school. This study aims to implement the PIECES method at the stage of developing a student assessment system at SMPN 201 Jakarta in the form of a web application. PIECES analysis consists of Performance, Information, Economy, Control, Efficiency and Service. The conclusion of the research is that the application of a multi-user student assessment data system application at SMPN 201 Jakarta can improve work services and time efficiency in terms of processing student grade data. The student assessment data processing system using analysis using the PIECES method in a multi-user manner aims to make a computerized system in schools able to integrate all recording activities that are carried out manually and require office stationery (ATK) to be minimized.

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