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Bahari, Akbar; Zhang, Xue; Ardasheva, Yuliya – Interactive Learning Environments, 2023
The lack of comprehensive language proficiency assessment models recognizing the nonlinearity and dynamicity of individual differences, as well as the fundamental differences between paper- and computer-assisted language assessments (CALA) served as the rationale to conduct the present study. Drawing on dynamic systems theory, a Nonlinear Dynamic…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Stephanie Michelle McMillan-Dorman – ProQuest LLC, 2023
McMillan-Dorman, Stephanie Michelle. Examining the Relationship Between Middle School Students' Participation on i-Ready Computer Adaptive Tests and Math Achievement Scores (Under the direction of Theodore Kaniuka, Ed.D.) Despite over 50 years of effort, educators have witnessed a multiplicity of educational reforms make little to no effect on…
Descriptors: Middle School Students, Student Participation, Tests, Computer Assisted Testing
Philip Slobodsky; Mariana Durcheva – International Journal for Technology in Mathematics Education, 2023
The mode of assessment is one of the most important factors influencing learning. E-assessment usually includes only checking the final answer, thus limiting teacher's ability to check the complete solution, and it does not allow inclusion of math proofs problems that constitute an important part of math content. The e-assessment module of Halomda…
Descriptors: Mathematics Instruction, Learning Processes, Algebra, Validity
Barnard, John J. – Practical Assessment, Research & Evaluation, 2018
Measurement specialists strive to shorten assessment time without compromising precision of scores. Computerized Adaptive Testing (CAT) has rapidly gained ground over the past decades to fulfill this goal. However, parameters for implementation of CATs need to be explored in simulations before implementation so that it can be determined whether…
Descriptors: Computer Assisted Testing, Adaptive Testing, Simulation, Multiple Choice Tests
Raley, Sheida K.; Shogren, Karrie A.; Rifenbark, Graham G.; Anderson, Mark H.; Shaw, Leslie A. – Journal of Special Education Technology, 2020
The Self-Determination Inventory: Student Report (SDI: SR) was developed to measure the self-determination of adolescents and was recently validated for students aged 13-22 with and without disabilities across diverse racial/ethnic backgrounds. The SDI: SR is aligned Causal Agency Theory and its theoretical conceptualizations of self-determined…
Descriptors: Testing, Self Determination, Scores, Students with Disabilities
Alhadi, Moosa A. A.; Zhang, Dake; Wang, Ting; Maher, Carolyn A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student mathematics performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies that categorized existing DICs according to the tools that provided language assistance to students and tools that…
Descriptors: Computer Assisted Testing, Mathematics Tests, English Language Learners, Geometry
Chala, Lemma; Agago, Menna – International Journal of Instruction, 2022
Exam malpractice can be found in every nation in the globe. The practice of providing quality examinations in Ethiopian schools has ran into difficulties. The various forms of national examination malpractices, as well as preventative methods, were investigated in this study.A5-point rating scale labelled 'Forms of Examination Malpractices…
Descriptors: Cheating, Prevention, Rating Scales, Administrator Attitudes
National Academies Press, 2022
The National Assessment of Educational Progress (NAEP) -- often called "The Nation's Report Card" -- is the largest nationally representative and continuing assessment of what students in public and private schools in the United States know and can do in various subjects and has provided policy makers and the public with invaluable…
Descriptors: Costs, Futures (of Society), National Competency Tests, Educational Trends
Tugba Uygun; Pinar Guner; Irfan Simsek – International Journal of Mathematical Education in Science and Technology, 2024
This study was conducted to reveal potential sources of students' difficulty and misconceptions about geometrical concepts with the help of eye tracking. In this study, the students' geometrical misconceptions were explored by answering the questions on the geometry test prepared based on the literature and test-taking processes and represented…
Descriptors: Eye Movements, Geometric Concepts, Mathematics Instruction, Misconceptions
Ali Rezaei – Journal of Interactive Learning Research, 2024
Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…
Descriptors: College Students, Interactive Video, Student Attitudes, College Faculty
Erica J. Lewis; Michelle Hesse; Catherine Copeland – Journal on Excellence in College Teaching, 2024
Innovation courses are needed in higher education to meet workforce demands and prepare students for societal challenges. Assessment of outcomes can be challenging in innovation courses, particularly those that leverage diversity to drive innovation. The authors report on assessment methods in one such course at a public university using the…
Descriptors: College Students, Instructional Innovation, Diversity, Performance Based Assessment
Umar Bin Qushem; Solomon Sunday Oyelere; Gökhan Akçapinar; Rogers Kaliisa; Mikko-Jussi Laakso – Technology, Knowledge and Learning, 2024
Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…
Descriptors: Predictor Variables, Learning Analytics, At Risk Students, Computer Science
Sarika Tomar; Arundhathi Arundhathi; Shikha Gupta; Mansi Sharma – Journal of Education and Learning (EduLearn), 2024
As universities shifted to online education with the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, both pedagogy and assessment patterns across disciplines underwent a change, with a shift towards collaborative digital assessments. In this context, using qualitative and quantitative methods for data collection from an assessment…
Descriptors: Student Evaluation, Cooperative Learning, Video Technology, Web Sites
Venie Gupitasari; Heri Retnawati – Journal of Education and Learning (EduLearn), 2024
Assessment is an important component of learning which aims to determine student achievement in learning. However, the pandemic has changed how assessment is carried out, prompting teachers to look for new strategies in carrying out mathematics learning assessments under any conditions, whether in normal conditions or during a pandemic. This study…
Descriptors: Foreign Countries, High School Teachers, Mathematics Teachers, Student Evaluation
Gabriel Cipriano; Susana Da Cruz Martins – Education Policy Analysis Archives, 2024
In recent decades, the potential benefits of introducing technologies into large-scale tests have been much discussed. Yet the path to effective technology use on large-scale testing has fallen short of expectations, especially when these tests have medium or high stakes for students. After a temporary cancelation of external assessment of…
Descriptors: Foreign Countries, Computer Assisted Testing, High Stakes Tests, Technology Uses in Education

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