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Tawil, Muh.; Said, Muhammad Amin; Suryansari, Kemala – International Journal of Education and Practice, 2023
This study aimed to examine authentic models of science assessment in assessing the competence of senior high school students who met the criteria of validity, practicality, and effectiveness. The methodology applied was an evaluation and developmental research. Research was conducted in senior high school in accordance with the needs of the…
Descriptors: Foreign Countries, Performance Based Assessment, Student Evaluation, Science Achievement
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Pooja Rana; Mithilesh Kumar Dubey; Lovi Raj Gupta; Amit Kumar Thakur – Interactive Learning Environments, 2024
In recent years, the system of student learning and academic emotions has been taken seriously to re-engineer the teaching-learning process at all levels of education. This research paper considers both aspects of assessing the translation of knowledge i.e. qualitative and quantitative. In the current scenario, quantitative and qualitative…
Descriptors: Educational Assessment, Outcomes of Education, Models, Evaluation Methods
Gianopulos, Garron – NWEA, 2019
The purpose of this literature review is to study the advantages and limitations of various through-course summative assessment (TCSA) models with the goal of informing the design of the new and innovative adaptive through-year assessment system at NWEA. This system solution will measure each student's command of grade-level standards and academic…
Descriptors: Summative Evaluation, Academic Standards, Academic Achievement, Scores
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Khosravi, Hassan; Cooper, Kendra M. L. – Journal of Learning Analytics, 2018
Educational environments continue to evolve rapidly to address the needs of diverse, growing student populations while embracing advances in pedagogy and technology. In this changing landscape, ensuring consistency among the assessments for different offerings of a course (within or across terms), providing meaningful feedback about student…
Descriptors: Graphs, Academic Achievement, Student Evaluation, Models
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Kaser, Tanja; Klingler, Severin; Schwing, Alexander G.; Gross, Markus – IEEE Transactions on Learning Technologies, 2017
Intelligent tutoring systems adapt the curriculum to the needs of the individual student. Therefore, an accurate representation and prediction of student knowledge is essential. Bayesian Knowledge Tracing (BKT) is a popular approach for student modeling. The structure of BKT models, however, makes it impossible to represent the hierarchy and…
Descriptors: Bayesian Statistics, Models, Intelligent Tutoring Systems, Networks
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Pullen, Reyne; Thickett, Stuart C.; Bissember, Alex C. – Chemistry Education Research and Practice, 2018
In chemistry curricula, both the role of the laboratory program and the method of assessment used are subject to scrutiny and debate. The ability to identify clearly defined competencies for the chemistry laboratory program is crucial, given the numerous other disciplines that rely on foundation-level chemistry knowledge and practical skills. In…
Descriptors: Undergraduate Study, College Science, Chemistry, Science Laboratories
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List, Marit K.; Robitzsch, Alexander; Lüdtke, Oliver; Köller, Olaf; Nagy, Gabriel – Large-scale Assessments in Education, 2017
Background: In low-stakes educational assessments, test takers might show a performance decline (PD) on end-of-test items. PD is a concern in educational assessments, especially when groups of students are to be compared on the proficiency variable because item responses gathered in the groups could be differently affected by PD. In order to…
Descriptors: Evaluation Methods, Student Evaluation, Item Response Theory, Mathematics Tests
Ostrow, Korinn; Donnelly, Christopher; Adjei, Seth; Heffernan, Neil – Grantee Submission, 2015
Student modeling within intelligent tutoring systems is a task largely driven by binary models that predict student knowledge or next problem correctness (i.e., Knowledge Tracing (KT)). However, using a binary construct for student assessment often causes researchers to overlook the feedback innate to these platforms. The present study considers a…
Descriptors: Intelligent Tutoring Systems, Models, Difficulty Level, Scores
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Ashraf, Hamid; Zolfaghari, Samaneh – International Journal of Instruction, 2018
Understanding and employing useful classroom assessments are crucial to increase student achievement (Marzano, 2000). Teachers' assessment literacy is viewed as a key link in the connection between assessment quality and student achievement. Reflective teaching is a movement in teacher education and crucial kind of thought that enables teachers to…
Descriptors: Reflective Teaching, Teacher Competencies, Questionnaires, Correlation
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Murphy, Margueritte S.; Flowers, Kathleen S. – Journal of Higher Education Outreach and Engagement, 2017
This article describes the development of the Community-Based Learning (CBL) Scorecard by a grant-funded consortium of liberal arts institutions. The aim of the scorecard was to promote assessment that improves student learning with an instrument that employs a quantitative scale, allowing for benchmarking across institutions. Extensive interviews…
Descriptors: Consortia, Community Education, Statistical Analysis, Benchmarking
Allen, Laura K.; McNamara, Danielle S. – International Educational Data Mining Society, 2015
The current study investigates the degree to which the lexical properties of students' essays can inform stealth assessments of their vocabulary knowledge. In particular, we used indices calculated with the natural language processing tool, TAALES, to predict students' performance on a measure of vocabulary knowledge. To this end, two corpora were…
Descriptors: Vocabulary, Knowledge Level, Models, Natural Language Processing
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Dorozhkin, Evgenij M.; Chelyshkova, Marina B.; Malygin, Alexey A.; Toymentseva, Irina A.; Anopchenko, Tatiana Y. – International Journal of Environmental and Science Education, 2016
The relevance of the investigated problem is determined by the need to improving the evaluation procedures in education and the student assessment in the age of the context of education widening, new modes of study developing (such as blending learning, e-learning, massive open online courses), immediate feedback necessity, reliable and valid…
Descriptors: Student Evaluation, Evaluation Methods, Item Response Theory, Mathematical Models
Wawiye, Joyce R. – ProQuest LLC, 2016
The Spellings Commission (U.S. Secretary of Education Commission on the Future of Higher Education) notes that there are far too many college graduates entering the workforce without the initial employment skills and predispositions needed in a current global economy. Specify measurements of relevant learning within community colleges is therefore…
Descriptors: College Faculty, Community Colleges, Statistical Analysis, Student Evaluation
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Widiana, I. Wayan; Jampel, I. Nyoman – International Journal of Evaluation and Research in Education, 2016
This study aimed to find out the effect of learning model and form of assessment toward inferential statistical achievement after controlling numeric thinking skills. This study was quasi experimental study with 130 students as the sample. The data analysis used ANCOVA. After controlling numeric thinking skills, the result of this study show that:…
Descriptors: Thinking Skills, Numbers, Mathematics Achievement, Statistics
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Lin, Yulan I.; Son, Ji Y.; Rudd, James A., II – International Journal of Science Education, 2016
Experts are more proficient in manipulating and translating between multiple representations (MRs) of a given concept than novices. Studies have shown that instruction using MR can increase student understanding of MR, and one model for MR instruction in chemistry is the chemistry triplet proposed by Johnstone. Concreteness fading theory suggests…
Descriptors: Chemistry, Science Instruction, Scientific Concepts, Teaching Methods
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