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Kang, Hyeon-Ah; Han, Suhwa; Kim, Doyoung; Kao, Shu-Chuan – Educational and Psychological Measurement, 2022
The development of technology-enhanced innovative items calls for practical models that can describe polytomous testlet items. In this study, we evaluate four measurement models that can characterize polytomous items administered in testlets: (a) generalized partial credit model (GPCM), (b) testlet-as-a-polytomous-item model (TPIM), (c)…
Descriptors: Goodness of Fit, Item Response Theory, Test Items, Scoring
Hofman, Abe D.; Brinkhuis, Matthieu J. S.; Bolsinova, Maria; Klaiber, Jonathan; Maris, Gunter; van der Maas, Han L. J. – Journal of Intelligence, 2020
One of the highest ambitions in educational technology is the move towards personalized learning. To this end, computerized adaptive learning (CAL) systems are developed. A popular method to track the development of student ability and item difficulty, in CAL systems, is the Elo Rating System (ERS). The ERS allows for dynamic model parameters by…
Descriptors: Teaching Methods, Computer Assisted Instruction, Difficulty Level, Individualized Instruction
Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
Bergner, Yoav; Choi, Ikkyu; Castellano, Katherine E. – Journal of Educational Measurement, 2019
Allowance for multiple chances to answer constructed response questions is a prevalent feature in computer-based homework and exams. We consider the use of item response theory in the estimation of item characteristics and student ability when multiple attempts are allowed but no explicit penalty is deducted for extra tries. This is common…
Descriptors: Models, Item Response Theory, Homework, Computer Assisted Instruction
Hicks, Juanita C. – ProQuest LLC, 2019
Researchers are increasingly interested in the cognitive behaviors students display during tests. This interest has led researchers to look for innovative ways to collect this type of data. Due to the proliferation of computer-based assessments, process data has become popular for its ability to help show what students know, what students don't…
Descriptors: Reading Strategies, Computer Assisted Instruction, Gender Differences, Race
González-Castro, Nuria; Muñoz-Merino, Pedro J.; Alario-Hoyos, Carlos; Delgado Kloos, Carlos – Australasian Journal of Educational Technology, 2021
Massive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that…
Descriptors: Online Courses, Learning Modules, Computer Science Education, Programming
Liu, Sha; Kunnan, Antony John – CALICO Journal, 2016
This study investigated the application of "WriteToLearn" on Chinese undergraduate English majors' essays in terms of its scoring ability and the accuracy of its error feedback. Participants were 163 second-year English majors from a university located in Sichuan province who wrote 326 essays from two writing prompts. Each paper was…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Back to the Basics: Bayesian Extensions of IRT Outperform Neural Networks for Proficiency Estimation
Wilson, Kevin H.; Karklin, Yan; Han, Bojian; Ekanadham, Chaitanya – International Educational Data Mining Society, 2016
Estimating student proficiency is an important task for computer based learning systems. We compare a family of IRT-based proficiency estimation methods to Deep Knowledge Tracing (DKT), a recently proposed recurrent neural network model with promising initial results. We evaluate how well each model predicts a student's future response given…
Descriptors: Item Response Theory, Bayesian Statistics, Computation, Artificial Intelligence
Ferreira, P. Costa; Simão, A. M. Veiga; da Silva, A. Lopes – European Journal of Psychology of Education, 2017
This study aimed to understand how children reflect about learning, report their regulation of learning activity, and develop their performance in contemporary English as a Foreign Language instructional settings. A quasi-experimental design was used with one experimental group working in a self-regulated learning computer-supported instructional…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Learning Strategies
Rachmatullah, Arif – ProQuest LLC, 2021
This dissertation conducted a science classroom intervention using two instructional approaches, computational modeling and paper-based pictorial modeling, in the context of food webs. A series of research papers were written on the impact of the intervention on students' attitudes and learning, and on teachers via professional development and…
Descriptors: Teaching Methods, Science Instruction, Food, Intervention
de Bree, Elise; van der Ven, Sanne; van der Maas, Han – Language Learning and Development, 2017
According to the Integration of Multiple Patterns hypothesis (IMP; Treiman & Kessler, 2014), the spelling difficulty of a word is affected by the number of cues converging on the correct answer. We tested this hypothesis in children's regular past tense formation in Dutch. Past tenses are formed by adding either-"de"…
Descriptors: Indo European Languages, Cues, Error Patterns, Regression (Statistics)
Ababneh, Mohammad – ProQuest LLC, 2014
A dialog system or a conversational agent provides a means for a human to interact with a computer system. Dialog systems use text, voice and other means to carry out conversations with humans in order to achieve some objective. Most dialog systems are created with specific objectives in mind and consist of preprogrammed conversations. The primary…
Descriptors: Item Response Theory, Web 2.0 Technologies, Computer System Design, Intelligent Tutoring Systems
Liu, I-Fang; Ko, Hwa-Wei – International Association for Development of the Information Society, 2016
Perspectives from reading and information fields have identified similar skills belong to two different kind of literacy being online reading abilities and ICT skills. It causes a conflict between two research fields and increase difficult of integrating study results. The purpose of this study was to determine which views are suitable for…
Descriptors: Information Technology, Information Literacy, Computer Literacy, Reading Skills
Behmke, Derek A.; Atwood, Charles H. – Chemistry Education Research and Practice, 2013
To a first approximation, human memory is divided into two parts, short-term and long-term. Cognitive Load Theory (CLT) attempts to minimize the short-term memory load while maximizing the memory available for transferring knowledge from short-term to long-term memory. According to CLT there are three types of load, intrinsic, extraneous, and…
Descriptors: Homework, Cognitive Ability, Computer Assisted Testing, Item Response Theory
Stefansson, Gunnar; Sigurdardottir, Asta Jenny – Journal of Instructional Psychology, 2011
Exams have traditionally been given to evaluate students but in recent years, with the appearance of freely accessible on-line tutoring, quizzes can also be used as a learning tool. In systems where students can request quiz items until a satisfactory grade is obtained, new probabilistic approaches are required for dealing items to students and…
Descriptors: Student Evaluation, Rote Learning, Tests, Learning Experience
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