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Zhang, Mengxue; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2023
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…
Descriptors: Scoring, Computer Assisted Testing, Mathematics Instruction, Mathematics Tests
Yasuyuki Nakamura – International Association for Development of the Information Society, 2023
STACK is an online testing system that can automatically assess mathematical formulae. When working with STACK on a smartphone, inputting mathematical formulae is time-consuming; therefore, to solve this problem a mathematical formula input interface for smartphones has been developed based on the flick operation. However, since the time of…
Descriptors: Usability, Mathematics Instruction, Mathematical Formulas, Telecommunications
Doewes, Afrizal; Saxena, Akrati; Pei, Yulong; Pechenizkiy, Mykola – International Educational Data Mining Society, 2022
In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…
Descriptors: Scoring, Essays, Writing Evaluation, Comparative Analysis
Rogers, Angela – Mathematics Education Research Group of Australasia, 2021
Test developers are continually exploring the possibilities Computer Based Assessment (CBA) offers the Mathematics domain. This paper describes the trial of the Place Value Assessment Tool (PVAT) and its online equivalent, the PVAT-O. Both tests were administered using a counterbalanced research design to 253 Year 3-6 students across nine classes…
Descriptors: Mathematics Tests, Computer Assisted Testing, Number Concepts, Elementary School Students
Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
Galeoto, Giovanni; D'Elpidio, Giuliana; Alvaro, Rosaria; Zicari, Anna Maria; Valente, Donatella; Riccio, Marianna – International Association for Development of the Information Society, 2021
The Italian Disciplinary section of Test of Competences (TECO-D) project is an important longitudinal study used to analyze learning outcomes of ungraded students and to measure quality of the educational process. The aim of the present study was to evaluate the psychometric properties of the TECO-D in students enrolled in the Bachelor's Degree in…
Descriptors: Case Studies, Nursing Education, Psychometrics, Longitudinal Studies
Haus, Goffredo; Pasquinelli, Yuri Benvenuto; Scaccia, Daniela; Scarabottolo, Nello – International Association for Development of the Information Society, 2020
The paper deals with the problem of carrying on online written exams in the University of Milan, suddenly closed due to the Covid-19 emergency. Main goal of the paper is to present and compare the different scenarios envisioned, depending on the number of students to be monitored in parallel to avoid cheating. For limited numbers, direct…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Cheating
Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2018
We compared students' performance on a paper-based test (PBT) and three computer-based tests (CBTs). The three computer-based tests used different test navigation and answer selection features, allowing us to examine how these features affect student performance. The study sample consisted of 9,698 fourth through twelfth grade students from across…
Descriptors: Evaluation Methods, Tests, Computer Assisted Testing, Scores
El Rassi, Mary Ann Barbour – International Association for Development of the Information Society, 2019
It has long been debated whether the Open-Book-Open-Web exam was useful and efficient as the traditional closed book exams. Some scholars and practitioners have doubted the efficiency and the possibility of cheating in the OBOW as it is not directly monitored. This paper tends to investigate the effectiveness of OBOW exams by comparing them with…
Descriptors: Developing Nations, Test Format, Tests, Cheating
Feifei Han; Zehua Wang – OTESSA Conference Proceedings, 2021
This study compared the effects of teacher feedback (TF) and online automated feedback (AF) on the quality of revision of English writing. It also examined the strengths and weaknesses of the two types of feedback perceived by English language learners (ELLs) as a foreign language (FL). Sixty-eight Chinese students from two English classes…
Descriptors: Comparative Analysis, Feedback (Response), English (Second Language), Second Language Instruction
Rusudan Makhachashvili; Ivan Semenist – International Association for Development of the Information Society, 2022
The global quarantine measures and restrictions have posed a challenge to the structure and procedure of university summative assessment process. Foreign Languages Acquisition and Linguistic Education assessment are interdisciplinary processes, informed by the nature of linguistic content and types of communicative and professional activities…
Descriptors: Vignettes, Second Language Learning, Second Language Instruction, Foreign Countries
Homand, Danielle M.; Moughamian, Ani C. – AERA Online Paper Repository, 2017
This study focused on the use of a standardized reading assessment to examine reading comprehension among English language learners (ELLs) and English fluent middle school students, focusing on two text genres: informational and narrative. The Common Core State Standards require students to develop skills in both genres. However, ELLs may not…
Descriptors: Reading Comprehension, Literary Genres, English Language Learners, Scores
Hardcastle, Joseph; Herrmann-Abell, Cari F.; DeBoer, George E. – Grantee Submission, 2017
Can student performance on computer-based tests (CBT) and paper-and-pencil tests (PPT) be considered equivalent measures of student knowledge? States and school districts are grappling with this question, and although studies addressing this question are growing, additional research is needed. We report on the performance of students who took…
Descriptors: Academic Achievement, Computer Assisted Testing, Comparative Analysis, Student Evaluation
He, Wei; Diao, Qi; Hauser, Carl – Online Submission, 2013
This study compares the four existing procedures handling the item selection in severely constrained computerized adaptive tests (CAT). These procedures include weighted deviation model (WDM), weighted penalty model (WPM), maximum priority index (MPI), and shadow test approach (STA). Severely constrained CAT refer to those adaptive tests seeking…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
Adjei, Seth A.; Botelho, Anthony F.; Heffernan, Neil T. – Grantee Submission, 2016
Prerequisite skill structures have been closely studied in past years leading to many data-intensive methods aimed at refining such structures. While many of these proposed methods have yielded success, defining and refining hierarchies of skill relationships are often difficult tasks. The relationship between skills in a graph could either be…
Descriptors: Prediction, Learning Analytics, Attribution Theory, Prerequisites