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Mohammad M. Khajah – Journal of Educational Data Mining, 2024
Bayesian Knowledge Tracing (BKT) is a popular interpretable computational model in the educational mining community that can infer a student's knowledge state and predict future performance based on practice history, enabling tutoring systems to adaptively select exercises to match the student's competency level. Existing BKT implementations do…
Descriptors: Students, Bayesian Statistics, Intelligent Tutoring Systems, Cognitive Development
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Park, Jaesuk – International Educational Data Mining Society, 2021
We propose an adaptation of the Glicko-2 rating system in a K-12 math learning software setting, where variable time intervals between solution attempts and the stratification of student-item pairings by grade levels necessitate modification of the original model. The discrete-time stochastic process underlying the original system has been…
Descriptors: Academic Ability, Difficulty Level, Evaluation Methods, Elementary Secondary Education
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Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
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Mengyuan Chen; Lan Wu; Baoping Li; Yang Liu – Educational Technology & Society, 2024
Students in the 21st century are expected to possess the ability to solve ill-defined complex problems (ICPs). One challenge to understanding students' ability to solve ICPs is the lack of methods for measuring noncognitive and metacognitive behaviors and relating those behaviors to cognitive behaviors with the goal of investigating differences in…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, 21st Century Skills
Laurel Anne Nelissen – ProQuest LLC, 2024
Purpose: The purpose of this qualitative phenomenological study was to explore the lived experiences of Oneida women who completed doctoral degrees and are enrolled members of the Oneida Nation of Wisconsin tribe of Indians. Theoretical Framework: The framework for this study is based on Weiner's 1985 attribution theory of motivation. Weiner…
Descriptors: Academic Achievement, Educational Attainment, Females, American Indian Students
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Arikan, Serkan; Aybek, Eren Can – Educational Measurement: Issues and Practice, 2022
Many scholars compared various item discrimination indices in real or simulated data. Item discrimination indices, such as item-total correlation, item-rest correlation, and IRT item discrimination parameter, provide information about individual differences among all participants. However, there are tests that aim to select a very limited number…
Descriptors: Monte Carlo Methods, Item Analysis, Correlation, Individual Differences
William A. Putnam – ProQuest LLC, 2024
Separating students in a variety of ways from one another in school systems based on either their perceived abilities or the part they may play in the future world is a codified component of systemic public educational systems. Much pontificating and research has been devoted to reflecting on these stratifying and segregating practices, especially…
Descriptors: School Segregation, Student Attitudes, Civics, Democratic Values
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Educational and Psychological Measurement, 2022
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Artificial Intelligence, Item Response Theory, Item Analysis
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Graben, Katharina; Doering, Bettina K.; Barke, Antonia – Education and Information Technologies, 2022
In this study, we investigated whether the use of smartphone games while reading a text reduces learning performance or reading speed. We also examined whether this is affected by push notifications. Ninety-three students were randomly assigned to three learning conditions. In the gaming group (G), participants played a game app for 20 s at 2-min…
Descriptors: Telecommunications, Handheld Devices, Computer Games, Reading Processes
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Mahroof, Ameema; Saeed, Muhammad – Bulletin of Education and Research, 2021
This small scale study aims to analyze the question papers of Board of Intermediate and Secondary Education in the subject of computer science with reference to item analysis and Bloom's taxonomy. Data were collected from 100 students of Grade 9th and 10th from the schools of Lahore city using convenient sampling technique. Data collected on the…
Descriptors: Foreign Countries, Secondary Education, Computer Science Education, Item Analysis
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Damerau, Karsten; Atzert, Ramona; Peter, Anna; Preisfeld, Angelika – Cogent Education, 2021
Students' causal attributions play an important role in recent studies due to their effects on academic self-concept and performances. Most common causal attributions are students' ability, effort, task difficulty, and chance. The present study aims at identifying students' preferred causal attributions of failure and success while experimenting.…
Descriptors: Attribution Theory, Academic Ability, Self Concept, Preferences
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PaaBen, Benjamin; Bertsch, Andreas; Langer-Fischer, Katharina; Rüdian, Sylvio; Wang, Xia; Sinha, Rupali; Kuzilek, Jakub; Britsch, Stefan; Pinkwart, Niels – International Educational Data Mining Society, 2021
Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…
Descriptors: Anatomy, Science Instruction, Computer Simulation, Computer Software
Eileen M. Steffan – ProQuest LLC, 2021
Recent research based on the Dweck's mindset theory has shown that persons with a growth mindset who believe traits such as intelligence are malleable may put forth more effort and have greater academic success than those with a fixed mindset. However, little research has been conducted on mindsets of college students, many of whom enter…
Descriptors: Remedial Instruction, Two Year College Students, College Preparation, Comparative Analysis
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Kramer, Amy; Dringenberg, Emily; Morris, Carter; McCarthy, Darcy – Journal of Pre-College Engineering Education Research, 2023
The marginalization of women in engineering is a persistent problem. The overall goal of our collaborative project was to promote interest and participation in science, technology, engineering, and mathematics (STEM), particularly for high school girls. We took an action research approach with a local high school science teacher to develop,…
Descriptors: High School Students, STEM Education, Self Efficacy, World Views
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Loucif, Samia; Gassoumi, Laila; Negreiros, Joao – Education Sciences, 2020
Academic advising is time-consuming work. At the same time, it needs to be efficient and productive in assisting the students to choose appropriate academic courses towards the completion of their selected programs in a beneficial manner. In addition, both private and public educational institutions are, currently, operating in an extremely…
Descriptors: Academic Advising, Academic Achievement, Progress Monitoring, Course Selection (Students)
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