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Brown, Neil C. C.; Weill-Tessier, Pierre; Sekula, Maksymilian; Costache, Alexandra-Lucia; Kölling, Michael – ACM Transactions on Computing Education, 2023
Objectives: Java is a popular programming language for use in computing education, but it is difficult to get a wide picture of the issues that it presents for novices; most studies look only at the types or frequency of errors. In this observational study, we aim to learn how novices use different features of the Java language. Participants:…
Descriptors: Novices, Programming, Programming Languages, Data
Omer, Uzma; Tehseen, Rabia; Farooq, Muhammad Shoaib; Abid, Adnan – Education and Information Technologies, 2023
Learning analytics (LA) is a significant field of study to examine and identify difficulties the novice programmers face while learning how to program. Despite producing notable research by the community in the specified area, rare work is observed to synthesize these research efforts and discover the dimensions that guide the future research of…
Descriptors: Programming, Learning Analytics, Educational Research, Data
Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor; Pedro Isaías, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
This edited volume presents the latest research focussing on current challenges on the deployment of smart technologies and pedagogies for supporting teaching and learning in the post-covid19 era. This is at the core of studying the evolution of the learning process, the role of technology-supported pedagogical approaches, and the progress of…
Descriptors: Teaching Methods, Influence of Technology, Educational Technology, Professional Development
Liu, Min; Kang, Jina; Zou, Wenting; Lee, Hyeyeon; Pan, Zilong; Corliss, Stephanie – Technology, Knowledge and Learning, 2017
There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior…
Descriptors: College Freshmen, Pharmaceutical Education, Individualized Instruction, Data
Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2012
Our learning-by-teaching environment, Betty's Brain, captures a wealth of data on students' learning interactions as they teach a virtual agent. This paper extends an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs sequence mining techniques to…
Descriptors: Teaching Methods, Mathematics, Behavior Patterns, Academic Achievement
Foxall, Gordon R.; Wells, Victoria K.; Chang, Shing Wan; Oliveira-Castro, Jorge M. – Journal of Organizational Behavior Management, 2010
This article presents a comprehensive examination of panel data for 1,847 consumers and 2,209 brands of "biscuits" (a total of 76,682 records) in which matching analysis is employed to define brand substitutability and potential product clusters within the overall category. The results indicate that, while brands performed as expected as perfect…
Descriptors: Academic Achievement, Advertising, Reading Research, Data

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