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Boden, Carrie J.; Cherrstrom, Catherine A.; Sherron, Todd – American Association for Adult and Continuing Education, 2021
Earning a college degree offers many benefits but requires time and money. Prior learning assessment (PLA) saves time and money by translating prior learning into college credit. This systematic literature review examined peer reviewed journal articles about PLA from the last decade. The research design used systematic literature review procedures…
Descriptors: Prior Learning, Evaluation Methods, Literature Reviews, College Credits
Hongnan Wan – International Association for Development of the Information Society, 2022
The teaching quality evaluation of college teachers is an important indicator of school evaluation, performance assessment and teacher promotion. However, the existing evaluation methods are only limited to the formal evaluation of teaching behavior, and have not achieved objective, reasonable and scientific evaluation results. The purpose of this…
Descriptors: Teacher Behavior, Teacher Effectiveness, Teacher Evaluation, College Faculty
Drimalla, James; Tyburski, Brady A.; Byerley, Cameron; Boyce, Steven; Grabhorn, Jeffrey; Roman, Christopher Orlando; Moore, Kevin C. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
We reflect on the limitations of our research group's prior methods for assessing covariational reasoning which primarily used graphical tasks found in extant literature. Graphical tasks dominate the literature on covariational reasoning, and through our use of these tasks we came to question the heavy reliance on them. Our concerns led us to ask…
Descriptors: Mathematical Logic, Graphs, Evaluation Methods, Calculus
Julien Corven – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
To base teaching on student thinking requires analyzing and interpreting students' thinking, key components of the construct of professional noticing (e.g., Jacobs et al., 2010). Although substantial research has been conducted using this construct, less attention has been paid to teachers' evaluations of student work based on these analyses and…
Descriptors: Student Evaluation, Evaluation Methods, Thinking Skills, Teaching Methods
Kolarec, Biserka; Nincevic, Marina – International Society for Technology, Education, and Science, 2022
The object of research is a statistics exam that contains problem tasks. One examiner performed two exam evaluation methods to repeatedly evaluate the exam. The goal was to compare the methods for objectivity. One of the two exam evaluation methods we call a serial evaluation method. The serial evaluation method assumes evaluation of all exam…
Descriptors: Statistics Education, Mathematics Tests, Evaluation Methods, Test Construction
Karen Leary Duseau – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Assessment is a topic of concern to all stakeholders in our educational system. Pattern Based Questions are an assessment tool which is an alternative to the standardized assessment tool, and they are based on generative learning pedagogy, which shows promise in engaging all learners and usefulness in teaching and learning but validity has not yet…
Descriptors: Undergraduate Students, College Mathematics, Mathematics Skills, Thinking Skills
Amsal Alhayat – International Society for Technology, Education, and Science, 2023
Learning needs to be well planned so that it can take place in accordance with the objectives to be achieved. This planning can be poured into the learning implementation plan (RPP) prepared by the teacher. Therefore, this study aims to describe the competence of prospective chemistry teacher students to prepare lesson plans using a scientific…
Descriptors: Preservice Teachers, Science Teachers, Teacher Education Programs, Chemistry
Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
Yau'Mee Hayati Mohamed Yusof; Nurmuslimah Kamilah Abdullah; Hamidah Jantan – International Society for Technology, Education, and Science, 2023
Technology in education is purposely designed to help both educators and students in knowledge transfer and knowledge gain simultaneously. In many aspects, technology in education is supposed to prove that education can be delivered effectively and efficiently. However, there are cases in which technology in education can be frustrating and…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Teaching Methods, Information Technology
Kerrigan, Sarah; Norton, Anderson; Ulrich, Catherine – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
We report on and validate a system for ranking the cognitive demand of mathematical tasks. In our framework, task rankings are determined by the sequences of units and unit transformations students might use to solve each task. Using this framework, we ranked a set of 10 fractions tasks. We then interviewed 12 pre-service teachers to assess the…
Descriptors: Cognitive Processes, Difficulty Level, Fractions, Evaluation Methods
Neelakshi Rajeev Tewari; Caitlin Albrechtsen; Jeremy Acree; Courtney Stone; Tyler Clark; Onyinyechukwu Onu Onwuka; Jaime R. Moller; Ayesha Boyce; Tiffany Lee Smith Tovey – AERA Online Paper Repository, 2024
Since the George Floyd murder in 2020 and Black Lives Matter campaign, there has been increased interest among evaluators and PIs in Diversity, Equity and Inclusion (DEI) in their projects and evaluations. Our previous research showed a lack of clarity in understanding the distinction between the terms in practice and desire to engage with these…
Descriptors: Diversity Equity and Inclusion, Knowledge Level, Evaluators, Career and Technical Education
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
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
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