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Showing all 11 results Save | Export
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Ring, Joshua – Journal of Chemical Education, 2017
Specifications Grading is a system of course-long student assessment based on the division of learning objectives into clearly defined skill tests or assignments. Each skill is evaluated at a mastery level, with opportunities for students to learn from their mistakes and then be re-evaluated for skill tests, or resubmit assignments. Specifications…
Descriptors: Science Instruction, Organic Chemistry, Grading, Evaluation Methods
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Sales, Adam C.; Botelho, Anthony; Patikorn, Thanaporn; Heffernan, Neil T. – International Educational Data Mining Society, 2018
Randomized A/B tests in educational software are not run in a vacuum: often, reams of historical data are available alongside the data from a randomized trial. This paper proposes a method to use this historical data--often highdimensional and longitudinal--to improve causal estimates from A/B tests. The method proceeds in two steps: first, fit a…
Descriptors: Courseware, Data Analysis, Causal Models, Prediction
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Gautam, Satyen; Nagarajan, Karthiga; Loh, Kai Chee; Zhou, Kang; Yung, Lanry Lin Y.; Tong, Yen Wah; Li, Zhi – Chemical Engineering Education, 2020
The paper explores the effectiveness of hands-on learning (HOL) as a student-centered model to train first year chemical engineering undergraduates. The pedagogical design of the course uses laboratory sessions, lectures, reflection sessions, projects, and assessments to achieve the course learning outcomes. The adopted assessment methodology…
Descriptors: Experiential Learning, Chemical Engineering, Engineering Education, Undergraduate Students
Falakmasir, Mohammad; Yudelson, Michael; Ritter, Steve; Koedinger, Ken – International Educational Data Mining Society, 2015
Bayesian Knowledge Tracing (BKT) has been in wide use for modeling student skill acquisition in Intelligent Tutoring Systems (ITS). BKT tracks and updates student's latent mastery of a skill as a probability distribution of a binary variable. BKT does so by accounting for observed student successes in applying the skill correctly, where success is…
Descriptors: Bayesian Statistics, Models, Skill Development, Intelligent Tutoring Systems
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Sundaresan, Nirup; Dashoush, Nermeen; Shangraw, Rebecca – Journal of Physical Education, Recreation & Dance, 2017
With the authorization of the Every Student Succeeds Act (ESSA) in December 2015, the role of physical education in public schools has the potential to change significantly. It is imperative that physical education be supported by assessment-driven evidence in order to reach and speak to legislators, national boards, school administrators,…
Descriptors: Educational Quality, Physical Education, Educational Assessment, Evidence Based Practice
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Clark, Gavin C.; Parker, David C. – School Psychology Forum, 2016
Within brief experimental analysis, assessment data are used to target interventions for struggling students. This use of assessment data aligns with prevention and early intervention frameworks, but popular measures are limited for this purpose because of issues with measuring improvement in short periods. Our study was a pilot comparison of two…
Descriptors: Evaluation Methods, At Risk Students, Comparative Analysis, Curriculum Based Assessment
Bienkowski, Marie; Gerard, Sarah Nixon; Rubin, Shawn; Sanford, Cathy; Borrelli-Murray, Dana; Driscoll, Tom; Arora, Jessie; Hruska, Mike; Beck, Katie; Murray, Thomas; Hoekstra, Jason; Gannes, Stuart; Metz, Edward; Midgley, Steve; Castilla, Stephanie; Tomassini, Jason; Madda, Mary Jo; Chase, Zac; Martin, Erik; Noel, Marcus; Styles, Kathleen – Office of Educational Technology, US Department of Education, 2015
Opportunities abound for software designers and developers to create impactful tools for teachers, school leaders, students, and their families. This guide for developers, startups, and entrepreneurs addresses key questions about the education ecosystem and highlights critical needs and opportunities to develop digital tools and apps for learning.…
Descriptors: Computer Software, Design, Technology Uses in Education, Educational Technology
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Hartz, Sarah; Roussos, Louis – ETS Research Report Series, 2008
This paper presents the development of the fusion model skills diagnosis system (fusion model system), which can help integrate standardized testing into the learning process with both skills-level examinee parameters for modeling examinee skill mastery and skills-level item parameters, giving information about the diagnostic power of the test.…
Descriptors: Skill Development, Educational Diagnosis, Theory Practice Relationship, Standardized Tests
Reshetova, Z. A. – Programmed Learning and Educational Technology, 1982
The process of forming practical abilities and skills in training situations through the control of the assimilation process is described, and an experimental application of this process for the instruction of machine operators is reported. Six references are included. (CHC)
Descriptors: Ability, Concept Formation, Evaluation Methods, Foreign Countries
O'Connor, Ann R. – 1986
A description is provided of a project that was conducted to design, implement, and evaluate traditional and guided-practice instructional modules for independent learning of word processing skills. After an overview of the project, the report outlines the following steps in module development: identifying an instructional goal, conducting an…
Descriptors: Community Colleges, Evaluation Methods, Individualized Instruction, Learning Activities
Pearson, P. David; Dunning, David – Illinois Reading Council Journal, 1985
Schemes for assessing reading achievement with specific tests have been in use since early in this century. The two driving forces behind the testing movement--scientific objectivity and compulsory education--blossomed in the 1920s and 1930s and continued substantially unchanged through most of the 1960s. In the early 1970s, the idea of mastery…
Descriptors: Class Activities, Curriculum Problems, Elementary Secondary Education, Evaluation Methods