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Yang Shi; Robin Schmucker; Keith Tran; John Bacher; Kenneth Koedinger; Thomas Price; Min Chi; Tiffany Barnes – Journal of Educational Data Mining, 2024
Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and,…
Descriptors: Programming Languages, Undergraduate Students, Learning Processes, Teaching Models
Kimberly S. DeGlopper; Ryan L. Stowe – Chemistry Education Research and Practice, 2024
Thinking about knowledge and knowing ("i.e.", epistemic cognition) is an important part of student learning and has implications for how they apply their knowledge in future courses, careers, and other aspects of their lives. Three classes of models have emerged from research on epistemic cognition: developmental models, dimensional…
Descriptors: Undergraduate Students, Chemistry, Epistemology, Cognitive Processes
Venn, Edward; Park, Jaeuk; Andersen, Line Palle; Hejmadi, Momna – Teaching in Higher Education, 2023
A common theme in the literature on learning technologies is the way in which they can facilitate engagement both within and outside of the classroom. However, a lack of a scholarly consensus on what constitutes engagement renders problematic the issue of how one makes meaningful sense of the data presented in studies. This paper presents an…
Descriptors: Undergraduate Students, Educational Technology, Emotional Response, Psychological Patterns
Chavan, Pankaj; Mitra, Ritayan – Journal of Learning Analytics, 2022
The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…
Descriptors: Learning Analytics, Video Technology, Lecture Method, Online Courses
Irizarry-Pérez, Carlos D.; Lugo-Neris, Mirza J.; Bedore, Lisa M.; Peña, Elizabeth D. – Teaching and Learning in Communication Sciences & Disorders, 2021
This study sought to scaffold administration performance of a standardized bilingual screener to sufficient levels of accuracy for data collection using principles of Cognitive Load Theory by managing task complexity when training pre-service clinicians. Before training administration skills, two students were given copies of the manual for the…
Descriptors: Bilingualism, Screening Tests, Accuracy, Data Collection
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michalis – Journal of Learning Analytics, 2020
Programming is a complex learning activity that involves coordination of cognitive processes and affective states. These aspects are often considered individually in computing education research, demonstrating limited understanding of how and when students learn best. This issue confines researchers to contextualize evidence-driven outcomes when…
Descriptors: Learning Analytics, Data Collection, Instructional Design, Learning Modalities
Lammi, Matthew D.; Denson, Cameron D. – Advances in Engineering Education, 2017
In this paper we examine a case study of a pedagogical strategy that focuses on the teaching of modeling as a habit of mind and practice for novice designers engaged in engineering design challenges. In an engineering design course, pre-service teachers created modeling artifacts in the form of conceptual models, graphical models, mathematical…
Descriptors: Preservice Teachers, Engineering Education, Case Studies, Educational Strategies
Bocala, Candice; Boudett, Kathryn Parker – Teachers College Record, 2015
Background: Institutions of higher education, specifically schools of education, should play a pivotal role in supporting educators' development of data literacy for teaching. While novice teachers are often prepared to use test-based assessment data, they learn these experiences in isolated courses that do not connect to instruction or school…
Descriptors: Teacher Educators, Colleges, Teacher Education Programs, Evaluation Methods
Stott, Angela; Hattingh, Annemarie – Educational Technology & Society, 2015
The paper presents a case study of the use of conceptual tutoring software to promote deep learning of the scientific concept of density among 50 final year pre-service student teachers in a natural sciences course in a South African university. Individually-paced electronic tutoring is potentially an effective way of meeting the students' varied…
Descriptors: Intelligent Tutoring Systems, Computer Software, Case Studies, Scientific Concepts
Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
Leijten, Marielle; Van Waes, Luuk – Written Communication, 2013
Keystroke logging has become instrumental in identifying writing strategies and understanding cognitive processes. Recent technological advances have refined logging efficiency and analytical outputs. While keystroke logging allows for ecological data collection, it is often difficult to connect the fine grain of logging data to the underlying…
Descriptors: Writing Processes, Cognitive Processes, Writing Strategies, Data Collection
Lamanauskas, Vincentas, Ed. – International Baltic Symposium on Science and Technology Education, 2019
These proceedings contain papers of the 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019) held in Šiauliai, Lithuania, June 17-19, 2019. This symposium was organized by the Scientific Methodical Center "Scientia Educologica" in cooperation with the Institute of Education, Šiauliai University. The…
Descriptors: Science Education, Technology Education, Formative Evaluation, Chemistry
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…
Descriptors: Electronic Learning, Educational Technology, Online Courses, Educational Environment
Quong, Jennifer – ProQuest LLC, 2012
The educational landscape of higher education is shifting to include more online education courses. This shift has produced successes and struggles for instructors and undergraduates. The purpose of this study was to explore child development instructors' and undergraduates' perspectives and experiences in online education through the…
Descriptors: Child Development Specialists, Child Development, Online Courses, Electronic Learning
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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