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Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Irons, Jeanette; Hartnett, Maggie – Journal of Open, Flexible and Distance Learning, 2020
From 2020, the New Zealand technology curriculum includes computational thinking. The new curriculum content is being introduced to students from 5 years' old. In preparation for its introduction, online resources have been developed for teachers (including junior teachers who teach new entrants, up to Year 3), that contain progress outcomes,…
Descriptors: Computation, Thinking Skills, Foreign Countries, Faculty Development
Lockwood, Elise; De Chenne, Adaline – International Journal of Research in Undergraduate Mathematics Education, 2020
When solving counting problems, students often struggle with determining what they are trying to count (and thus what problem type they are trying to solve and, ultimately, what formula appropriately applies). There is a need to explore potential interventions to deepen students' understanding of key distinctions between problem types and to…
Descriptors: Thinking Skills, Programming Languages, Computer Science Education, Introductory Courses
Zhou, Sherry; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2020
The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the…
Descriptors: Models, Statistical Analysis, Response Style (Tests), Test Items
Burton, Erin Peters; Rich, Peter; Cleary, Timothy; Burton, Stephen; Kitsantas, Anastasia; Egan, Garrett; Ellsworth, Jordan – Science Teacher, 2020
Students often need to obtain, organize, clean, and analyze data in order to draw conclusions about a particular phenomenon (e.g., why tidal heights change). When conducting a science investigation in biology, chemistry, physics, or Earth science, data can be collected by the student or can be provided to them via secondary data sets. This article…
Descriptors: Computation, Thinking Skills, Data Collection, Data Analysis
Fox, Michael F. J.; Zwickl, Benjamin M.; Lewandowski, H. J. – Physical Review Physics Education Research, 2020
Quantum sensing, quantum networking and communication, and quantum computing have attracted significant attention recently, as these quantum technologies could offer significant advantages over existing technologies. In order to accelerate the commercialization of these quantum technologies, the workforce must be equipped with the necessary…
Descriptors: Quantum Mechanics, Computers, Computation, Networks
Chen, Chen; Sonnert, Gerhard; Sadler, Philip M.; Malan, David J. – Journal of Computer Assisted Learning, 2020
Massive open online course (MOOC) studies have shown that precourse skills (such as precomputational thinking) and course engagement measures (such as making multiple submission attempts with assignments when the initial submission is incorrect) predict students' grade performance, yet little is known about whether these factors predict students'…
Descriptors: Computation, Thinking Skills, Assignments, Predictor Variables
Ivanova, Malinka – Informatics in Education, 2020
eLearning is fast progressing scientific field proposing novel and specific approaches in a range of domains. It is well established practice in universities, schools and organizations for delivering interactive, adaptive and flexible training, taking advantage of contemporary and emerging technologies. Informatics is a continuously evolving…
Descriptors: Electronic Learning, Learning Analytics, Automation, Information Systems
Hemer, David – Australian Mathematics Education Journal, 2020
This paper describes an investigation looking at the underlying mathematics of poker machines. The aim of the investigation is for students to get an appreciation of how poker machines are designed to ensure that in the long-term players will inevitably lose when playing. The first part of this paper describes how students can model a simple poker…
Descriptors: Equipment, Probability, Games, Mathematics Instruction
Paliwal, Veena; Baroody, Arthur J. – ZDM: The International Journal on Mathematics Education, 2020
The "cardinality principle" (CP) is a conceptual basis of counting collections meaningfully and provides a foundation for understanding other key aspects of numeracy, such as the successor principle or counting-on to determine sums. Unfortunately, little research has focused on how best to teach the CP. One suggestion is that modeling…
Descriptors: Mathematics Instruction, Mathematical Concepts, Numeracy, Computation
Sirakaya, Didem Alsancak – Participatory Educational Research, 2020
This study aimed to determine how secondary school students' computational thinking skills changed according to gender, technology use i.e. mobile device ownership, technology competence, daily technology use periods, attitude towards science and attitude towards math. In addition, the relationships between these variables was determined in this…
Descriptors: Computation, Thinking Skills, Predictor Variables, Gender Differences
Gillott, Lauren; Joyce-Gibbons, Andrew; Hidson, Elizabeth – International Journal of Computer Science Education in Schools, 2020
This study compares computational thinking skills evidenced by two groups of students in two different secondary schools: one group per school was studying a qualification in Computer Science. The aim was to establish which elements of computational thinking were more prevalent in students studying Computer Science to a higher level. This in turn…
Descriptors: Computation, Thinking Skills, Computer Science Education, Exit Examinations
Mazzocco, Michèle M. M.; Chan, Jenny Yun-Chen; Bye, Jeffrey K.; Padrutt, Emily R.; Praus-Singh, Taylor; Lukowski, Sarah; Brown, Ethan; Olson, Rachel E. – Mathematical Thinking and Learning: An International Journal, 2020
Children's spontaneous focus on numerosity (SFON) is described as an unprompted tendency that is stable across contexts. The attention to number task (AtN), an experimental forced-choice picture-matching task designed to evaluate select aspects of children's focus on numerosity, may reveal whether task materials can implicitly prompt children to…
Descriptors: Numeracy, Mathematics Skills, Adults, Attention
Montgomery, Jason M.; Mazziotti, David A. – Journal of Chemical Education, 2020
An introduction to the Quantum Chemistry Package (QCP), implemented in the computer algebra system Maple, is presented. The QCP combines sophisticated electronic structure methods and Maple's easy-to-use graphical interface to enable computation and visualization of the electronic energies and properties of molecules. Here we describe how the QCP…
Descriptors: Chemistry, Physics, Computation, Computer Uses in Education
Malone, Stephanie A.; Burgoyne, Kelly; Hulme, Charles – Journal of Educational Psychology, 2020
We assessed a range of theoretically critical predictors (numerosity discrimination, number knowledge, counting, language, executive function and finger gnosis) of early arithmetic development in a large unselected sample of 569 children at school entry. Assessments were repeated 12 months later. Although all predictors (except finger gnosis) were…
Descriptors: Numbers, Number Systems, Arithmetic, Predictor Variables

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