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Walter M. Stroup; Anthony Petrosino; Corey Brady; Karen Duseau – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Tests of statistical significance often play a decisive role in establishing the empirical warrant of evidence-based research in education. The results from pattern-based assessment items, as introduced in this paper, are categorical and multimodal and do not immediately support the use of measures of central tendency as typically related to…
Descriptors: Statistical Significance, Comparative Analysis, Research Methodology, Evaluation Methods
Stack, Kamie K.; Baldinger, Erin E. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
The process of assessing students is a fundamental part of teaching and learning mathematics. The assessment practices a teacher chooses are shaped by their values while also being shaped by the context of the school, district, state, and country where the teaching takes place. This can result in gaps between teachers' values and practices. In…
Descriptors: Evaluation Methods, Student Evaluation, Teacher Attitudes, Mathematics Teachers
Nicholas Diana; John Stamper; Kenneth Koedinger – Grantee Submission, 2020
As the media landscape is increasingly populated by less than reputable sources of information, educators have turned to argument evaluation training as a potential solution. Unfortunately, the bias literature suggests that our ability to objectively evaluate an argument is, to a large extent, determined by the relationship between our own beliefs…
Descriptors: Evaluation Methods, Persuasive Discourse, Values, Teaching Methods
Dayal, Hem – Mathematics Education Research Group of Australasia, 2021
Teachers' conceptions play an important role in their instructional practices. In this study, the researcher explored a small sample of Fijian secondary school mathematics teachers' conceptions of assessment. Thirteen mathematics teachers from two case study schools took part in this study that utilised one-to-one interviews to gain insights into…
Descriptors: Mathematics Instruction, Teaching Methods, Foreign Countries, Case Studies
Brunn, Stanley D.; Sahin, Çigdem – Pakistan Journal of Distance and Online Learning, 2022
This study focused on teacher responses during COVID-19 in the 2020-2021 academic year about homework assignments, their preparedness, internet use, resources used, measurement and evaluation methods. The study is qualitative using content analysis and the N-Vivo program. Ten teachers in different types of high schools in different socio-economic…
Descriptors: Foreign Countries, Homework, Teacher Attitudes, Internet
Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
van der Hijden, Peter – Council for Higher Education Accreditation, 2019
Human beings are compulsive learners. Strong demographic and economic factors coincide with this natural desire to learn. This current paper focuses on quality aspects of shorter-term educational experiences. What features determine quality? What type of quality reviews would be most suitable? Are accreditation and quality assurance as they have…
Descriptors: Credentials, Computer Uses in Education, Educational Quality, Quality Assurance
Arthurs, Noah; Alvero, A. J. – International Educational Data Mining Society, 2020
Word vectors are widely used as input features in natural language processing (NLP) tasks. Researchers have found that word vectors often encode the biases of society, and steps have been taken towards debiasing the vectors themselves. However, little has been said about the fairness of the methods used to evaluate the quality of vectors.…
Descriptors: College Admission, Essays, Evaluation Methods, Natural Language Processing
Ill-Defined but Well-Measured? Validating Measures of Noncognitive Skills in Large-Scale Assessments
Borgonovi, Francesca; Ferrara, Alessandro; Piacentini, Mario – AERA Online Paper Repository, 2020
Non-cognitive skills are routinely measured using self-reports in the context of large-scale international assessments. However questions remain on the adequacy of self-reports to conduct comparisons. Measures that exploit test-taker's behaviour during the completion of questionnaires or of the cognitive tests have been proposed in the literature…
Descriptors: Evaluation Methods, Measures (Individuals), Student Evaluation, Validity
MacGregor, Stephen W.; Cooper, Amanda – AERA Online Paper Repository, 2022
We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…
Descriptors: Mixed Methods Research, Evaluation Methods, Barriers, Educational Change
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Noor Maizura Mohamad Noor; Mohamad Jazli Shafizan Jaafar; Rosmayati Mohemad; Noor Azliza Che Mat – International Society for Technology, Education, and Science, 2023
Universities around the globe have begun implementing outcome-based learning (OBE). The curriculum will be revised, evaluated, and the outcomes of the assessments will be reported as part of this OBE implementation. Due to the importance of the evaluation method, several lecturers are searching for innovative approaches for assessing the…
Descriptors: Teaching Methods, Learning Processes, Decision Making, Learning Management Systems
Gyll, Sean P. – AERA Online Paper Repository, 2020
Simulated testing has become more prevalent in higher education, especially as competency-based institutions begin to incorporate micro-credentials and skills certificates into their curriculum. Competency-based assessment falls outside traditional norm-based testing practices used in K-12 education, and is largely focused on criterion referenced…
Descriptors: Competency Based Education, Evaluation Methods, Knowledge Level, Measurement
Polyzou, Agoritsa; Nikolakopoulos, Athanasios N.; Karypis, George – International Educational Data Mining Society, 2019
Course selection is a crucial and challenging problem that students have to face while navigating through an undergraduate degree program. The decisions they make shape their future in ways that they cannot conceive in advance. Available departmental sample degree plans are not personalized for each student, and personal discussion time with an…
Descriptors: Markov Processes, Course Selection (Students), Undergraduate Students, Decision Making