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Chin, Sze Looi; Choy, Ban Heng; Leong, Yew Hoong – Mathematics Education Research Group of Australasia, 2022
In this paper, we present a case study of a secondary mathematics teacher, Isaac (pseudonym), and his considerations for teaching with multiple methods for solving missing-value problems. While his students preferred methods that drew more closely on their intuitive understanding of proportionality, Isaac emphasised the algorithmic…
Descriptors: Teaching Methods, Secondary School Mathematics, Mathematics Instruction, Mathematics Teachers
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the impacts of AI-powered personalized education on student achievement and future perspectives. Personalized education refers to teaching methods tailored to the individual needs and learning paces of students, made more effective by the opportunities offered by AI. AI technologies transform educational processes such as…
Descriptors: Artificial Intelligence, Computer Software, Individualized Instruction, Privacy
Doyer, Ilse; Bean, Wilna L.; du Plessis, André – Bulgarian Comparative Education Society, 2023
This paper presents the use of the time-on-task analysis (TOTA) diagnostic model as an instrument to improve the efficient management of allocated academic time in schools and focuses on the descriptive analytics produced by the TOTA model. The model aims to analyse how time is spent during the school day to enable school leaders, managers, and…
Descriptors: Time on Task, Teaching Methods, Learning Processes, Time Management
Tosun, Hasan – Online Submission, 2020
One of the most important functions of universities is to produce knowledge by making scientific projects and to ensure the transfer of the knowledge produced to different sectors. Universities in developed countries have a very high level of social contribution in this area. Within the scope of this study, the project numbers and budgets of the…
Descriptors: Higher Education, State Universities, Transfer of Training, Budgets
Khetam Shraideh – International Society for Technology, Education, and Science, 2023
Youth make up over half of Jordan's population, and almost half of them are unemployed. Young people experience apathy and frustration due to a lack of employment opportunities and an education system that does not prepare them for the workforce. In Jordanian Higher Education Institutions, student success is our focus. However, we still follow a…
Descriptors: Translation, Professional Education, Language Processing, Second Languages
Yelena Minayeva; Larissa Sugralina; Lyazat Salkeeva; Aiman Omasheva; Veronika Erzyamkina; Svetlana Puchaikina – International Society for Technology, Education, and Science, 2023
Earlier at the ICRES 2022 we discussed readiness of teachers of the Chemistry Faculty of the Karaganda Buketov University for the student-centered learning approach lately implemented at the Kazakhstani universities. In particular, we studied the progress made by academic staff in mastering interactive lecturing, case-study, problem-based learning…
Descriptors: Student Projects, Active Learning, Teaching Methods, Chemistry
Bohorquez, Carlos; Marquet, Pascal – International Association for Development of the Information Society, 2019
This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…
Descriptors: Instructional Design, Programming, Conflict, Teaching Methods
Chan, Jenny Yun-Chen; Sawrey, Katharine; Hulse, Taylyn; Ottmar, Erin – Grantee Submission, 2020
This study examined if and how thinking time, defined as the time from the start of the problem to the students' first action to solve, influences their problem-solving efficiency, defined as the number of steps taken to solve the problem, using Graspable Math, a web-based mathematical tool. We found that: (1) students who took longer to think…
Descriptors: Mathematics Instruction, Mathematics Anxiety, Algebra, Problem Solving
Manzo, Daniel Vito; Ottmar, Erin R.; Landy, David; Weitnauer, Erik; Achgill, Christian – AERA Online Paper Repository, 2017
Computational fluency is composed of three components: efficiency, mathematical flexibility, and conceptual understanding. Although research highlights the importance of all three of these components in mathematical understanding, a majority of assessments primarily focus on efficiency. In this paper, we propose a novel way of measuring and…
Descriptors: Mathematics Skills, Technology Uses in Education, Puzzles, Problem Solving
Christopher R. Cox; Matthew J. Cooper Borkenhagen; Mark S. Seidenberg – Grantee Submission, 2019
Learning to read English requires learning the complex statistical dependencies between orthography and phonology. Previous research has focused on how these statistics are learned in neural network models provided with as much training as needed. Children, however, are expected to acquire this knowledge in a few years of school with only limited…
Descriptors: Second Language Learning, English (Second Language), Reading Instruction, Orthographic Symbols
Leblay, Joffrey; Rabah, Mourad; Champagnat, Ronan; Nowakowski, Samuel – International Association for Development of the Information Society, 2018
How can we learn to use properly business software, digital environments, games or intelligent tutoring systems (ITS)? Mainly, we assume that the new user will learn by doing. But what about the efficiency of such a method? Our approach proposes an answer by introducing on-line coaching. In learning process, learners may need guidance to help them…
Descriptors: Intelligent Tutoring Systems, Coaching (Performance), Efficiency, Learning Processes
Želvys, Rimantas; Stumbriene, Dovile; Jakaitiene, Audrone – Bulgarian Comparative Education Society, 2018
Transformation of post-socialist educational systems is perhaps one of the most interesting and at the same time underestimated in its importance, developments in the history of comparative education. After the three decades of post-socialist development one can note significant differences between the countries which once had identical or very…
Descriptors: Social Change, Social Systems, Efficiency, Neoliberalism
Luo, Xin; Reckase, Mark D.; He, Wei – AERA Online Paper Repository, 2016
While dichotomous item dominates the application of computerized adaptive testing (CAT), polytomous item and set-based item hold promises for being incorporated in CAT. However, how to assemble a CAT containing mixed item formats is challenging. This study investigated: (1) how the mixed CAT works compared with the dichotomous-item-based CAT; (2)…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Adaptive Testing