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Kyeng Gea Lee; Mark J. Lee; Soo Jung Lee – International Journal of Technology in Education and Science, 2024
Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…
Descriptors: Artificial Intelligence, Computer Software, Biology, Science Instruction
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Kosh, Audra E. – Journal of Applied Testing Technology, 2021
In recent years, Automatic Item Generation (AIG) has increasingly shifted from theoretical research to operational implementation, a shift raising some unforeseen practical challenges. Specifically, generating high-quality answer choices presents several challenges such as ensuring that answer choices blend in nicely together for all possible item…
Descriptors: Test Items, Multiple Choice Tests, Decision Making, Test Construction
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Thomas Bickerton, Robert; Sangwin, Chris J. – International Journal of Mathematical Education in Science and Technology, 2022
We discuss a practical method for assessing mathematical proof online. We examine the use of faded worked examples and reading comprehension questions to understand proof. By breaking down a given proof, we formulate a checklist that can be used to generate comprehension questions which can be assessed automatically online. We then provide some…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Evaluation Methods
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Fisher, Jonathan – set: Research Information for Teachers, 2021
The Assessment Resource Banks (ARBs) offer an innovative space to explore how responsive assessment for learning can work off- and online with Aotearoa New Zealand teaching and learning situations. They are a freely available online repository of formative assessment tasks that link to "The New Zealand Curriculum" (Ministry of Education,…
Descriptors: Foreign Countries, Formative Evaluation, Computer Assisted Testing, Multiple Choice Tests
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Tan, Kim Chwee Daniel; Lim, Xin Ying; Talbot, Christopher David – School Science Review, 2021
Online multiple-choice instruments to diagnose students' understanding of science concepts are easily developed and administered to students using Google Forms. This article describes a web-based three-tier multiple-choice test for the formative assessment of students' understanding of chemical bonding. The results obtained can lead to follow-up…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Science Tests, Scientific Concepts
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Patra, Rakesh; Saha, Sujan Kumar – Education and Information Technologies, 2019
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are…
Descriptors: Multiple Choice Tests, High Stakes Tests, Semantics, Evaluation Methods
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van de Heyde, Valentino; Siebrits, Andre – Physics Teacher, 2019
In any science field, including physics, it is important to remain abreast of new assessment methods to cater to the 21st-century student. The rationale of this paper is to argue for a move away from the use of lower-order thinking skills (LOTS) in e-assessment in favor of higher-order thinking skills (HOTS), in line with Bloom's Revised Taxonomy.…
Descriptors: Thinking Skills, Physics, Science Instruction, Computer Assisted Testing
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Teneqexhi, Romeo; Kuneshka, Loreta; Naço, Adrian – International Association for Development of the Information Society, 2018
Organizing exams or competitions with multiple choice questions and assessment by technology today is something that happens in many educational institutions around the world. These kinds of exams or tests as a rule are done by answering questions in a so-called answer sheet form. In this form, each student or participant in the exam is obliged to…
Descriptors: Foreign Countries, Competition, Multiple Choice Tests, Computer Assisted Testing
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Balasubramanian, Bhavani; DeSantis, Chris; Gulotta, Miriam – Journal of Chemical Education, 2020
The COVID pandemic forced many higher education institutions to pivot and switch to an online learning environment with minimal preparation. This transition was put in place during the middle of the spring semester, in March. During this transition, instructors had to quickly learn the tools of online teaching, navigate platforms like Webex and…
Descriptors: COVID-19, Pandemics, Online Courses, Electronic Learning
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Papasalouros, Andreas; Chatzigiannakou, Maria – International Association for Development of the Information Society, 2018
Automating the production of questions for assessment and self-assessment has become recently an active field of study. The use of Semantic Web technologies has certain advantages over other methods for question generation and thus is one of the most important lines of research for this problem. The aim of this paper is to provide an overview of…
Descriptors: Computer Assisted Testing, Web 2.0 Technologies, Test Format, Multiple Choice Tests
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Teneqexhi, Romeo; Qirko, Margarita; Sharko, Genci; Vrapi, Fatmir; Kuneshka, Loreta – International Association for Development of the Information Society, 2017
Exams assessment is one of the most tedious work for university teachers all over the world. Multiple choice theses make exams assessment a little bit easier, but the teacher cannot prepare more than 3-4 variants; in this case, the possibility of students for cheating from one another becomes a risk for "objective assessment outcome." On…
Descriptors: Testing, Computer Assisted Testing, Test Items, Test Construction
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Albacete, Patricia; Silliman, Scott; Jordan, Pamela – Grantee Submission, 2017
Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Multiple Choice Tests, Computer Assisted Testing
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Yusof, Safiah Md; Lim, Tick Meng; Png, Leo; Khatab, Zainuriyah Abd; Singh, Harvinder Kaur Dharam – Journal of Learning for Development, 2017
Open University Malaysia (OUM) is progressively moving towards implementing assessment on demand and online assessment. This move is deemed necessary for OUM to continue to be the leading provider of flexible learning. OUM serves a very large number of students each semester and these students are vastly distributed throughout the country. As the…
Descriptors: Foreign Countries, Computer Assisted Testing, Computer Managed Instruction, Management Systems
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Gusev, Marjan; Ristov, Sasko; Armenski, Goce – International Journal of Distance Education Technologies, 2016
Recent technology trends evolved the student assessment from traditional ones ("pen-and-paper" and "face-to-face") to modern e-Assessment system. These modern approaches allow the teachers to conduct and evaluate an exam with huge number of students in a short period of time. Even more important, both the teacher and the…
Descriptors: Educational Technology, Technology Uses in Education, Computer Assisted Testing, Evaluation Methods
Westhuizen, Duan vd – Commonwealth of Learning, 2016
This work starts with a brief overview of education in developing countries, to contextualise the use of the guidelines. Although this document is intended to be a practical tool, it is necessary to include some theoretical analysis of the concept of online assessment. This is given in Sections 3 and 4, together with the identification and…
Descriptors: Guidelines, Student Evaluation, Computer Assisted Testing, Evaluation Methods
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