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Nico Willert; Jonathan Thiemann – Technology, Knowledge and Learning, 2024
Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…
Descriptors: Tests, Examiners, Foreign Countries, Multiple Choice Tests
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Valentina Albano; Donatella Firmani; Luigi Laura; Jerin George Mathew; Anna Lucia Paoletti; Irene Torrente – Journal of Learning Analytics, 2023
Multiple-choice questions (MCQs) are widely used in educational assessments and professional certification exams. Managing large repositories of MCQs, however, poses several challenges due to the high volume of questions and the need to maintain their quality and relevance over time. One of these challenges is the presence of questions that…
Descriptors: Natural Language Processing, Multiple Choice Tests, Test Items, Item Analysis
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Kunal Sareen – Innovations in Education and Teaching International, 2024
This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…
Descriptors: Ethics, Decision Making, Artificial Intelligence, Computer Software
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Brahim Ait Hammou; Abderrazak Zaafour; Bendaoud Nadif; Mohammed Zemrani – Language Teaching Research Quarterly, 2025
Research on the relationship between vocabulary knowledge and reading has largely focused on literal comprehension of informational texts. The present study, however, investigates the vocabulary-reading relationship by specifically examining critical reading skills in an argumentative text.76 EFL university students majoring in Education and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
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Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence
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Abdullah Al Fraidan – International Journal of Distance Education Technologies, 2025
This study explores vocabulary assessment practices in Saudi Arabia's hybrid EFL ecosystem, leveraging platforms like Blackboard and Google Forms. The focus is on identifying prevalent test formats and evaluating their alignment with modern pedagogical goals. To classify vocabulary assessment formats in hybridized EFL contexts and recommend the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
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Page, Angela – Online Learning, 2022
It is widely recognised that the development of higher order thinking skills is a fundamental goal of higher education. There are a variety of online tools that assist the development of student higher order thinking. In this paper, a process of scaffolding for the writing of higher-order questions enabled through peer learning activities is…
Descriptors: Thinking Skills, Higher Education, Cooperative Learning, Skill Development
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Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
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Moro, Sérgio; Martins, António; Ramos, Pedro; Esmerado, Joaquim; Costa, Joana Martinho; Almeida, Daniela – Computers in the Schools, 2020
Many university programs include Microsoft Excel courses given their value as a scientific and technical tool. However, evaluating what is effectively learned by students is a challenging task. Considering multiple-choice written exams are a standard evaluation format, this study aimed to uncover the features influencing students' success in…
Descriptors: Multiple Choice Tests, Test Items, Spreadsheets, Computer Software
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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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Vista, Alvin – European Journal of Educational Research, 2019
Cheating detection is an important issue in standardized testing, especially in large-scale settings. Statistical approaches are often computationally intensive and require specialised software to conduct. We present a two-stage approach that quickly filters suspected groups using statistical testing on an IRT-based answer-copying index. We also…
Descriptors: Cheating, Identification, Computer Software, Standardized Tests
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Maryuningsih, Yuyun; Hidayat, Topik; Riand, R.; Rustaman, Nuryani Y. – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2022
Genetics is a subject that is quite difficult according to students. Various strategies and methods are used to understand genetics in learning to have genetic literacy. One way of increasing genetic literacy in students is to apply genetic problems based on an online discussion in genetics lectures. The research was conducted to determine the…
Descriptors: Genetics, Scientific Literacy, Problem Based Learning, Teaching Methods
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Zhang, Ruofei; Zou, Di; Xie, Haoran – Computer Assisted Language Learning, 2022
Spaced repetition has been widely implemented and examined in mobile-assisted word learning as an important learning strategy. However, the nature of spaced repetition by commercial word-learning apps and the factors leading to the favoured mobile-assisted spaced repetition have yet to be investigated in authentic contexts. In this study, we coded…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Mehri Kamrood, Ali; Davoudi, Mohammad; Ghaniabadi, Saeed; Amirian, Seyyed Mohammad Reza – Computer Assisted Language Learning, 2021
Dynamic Assessment (DA) is proposed as a workable diagnostic tool in second or foreign language context. Compared to traditional non-dynamic testing, DA presents a more comprehensive account of human beings' abilities through addressing both the fully internalized abilities and the abilities that are in the process of being internalized. However,…
Descriptors: Language Tests, Computer Assisted Testing, Second Language Learning, Second Language Instruction
Cin Seker, Zeynep – Online Submission, 2020
In this study, it was aimed to determine the effect of Plickers, which is one of the Web 2.0 education tools, on success in affix-root teaching to 5th grade students. In the study, random design with pretest-posttest control group, which is one of the real trial models, was used. The study group of the study was determined by homogeneous sampling…
Descriptors: Pretests Posttests, Morphemes, Teaching Methods, Comparative Analysis
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