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Rosenberg, Joshua M.; Krist, Christina – Journal of Science Education and Technology, 2021
Assessing students' participation in science practices presents several challenges, especially when aiming to differentiate meaningful (vs. rote) forms of participation. In this study, we sought to use machine learning (ML) for a novel purpose in science assessment: developing a construct map for students' "consideration of generality,"…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Models
Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
Ho, Chun-Heng; Zhang, Hang-qin; Li, Juan; Zhang, Min-quan – International Journal of Distance Education Technologies, 2023
Digital education has recently become a mainstream education model. Despite digital education's increasing popularity, there remain issues when it comes to teacher-student interactions in digital space, which have made it impossible for this model to achieve the same teaching quality as traditional in-person education. Compared with other academic…
Descriptors: Technology Uses in Education, Electronic Learning, Teacher Student Relationship, Interaction
Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
Matsumoto, Paul S.; Cao, Jiankang – Journal of Chemical Education, 2017
Computational thinking is a component of the Science and Engineering Practices in the Next Generation Science Standards, which were adopted by some states. We describe the activities in a high school chemistry course that may develop students' computational thinking skills by primarily using Excel, a widely available spreadsheet software. These…
Descriptors: Secondary School Science, High School Students, Computation, Thinking Skills
Sayavaranont, Purita; Piriyasurawong, Pallop; Jeerungsuwan, Namon – International Journal of Learning Technology, 2018
This paper is a report on the findings of research and development into the instructional model 'enhancing Thai Generation Z' creative thinking with Scratch through the spiral mode. The purposes of this study are: 1) to develop; 2) to evaluate and gain experts' opinion on the proposed model, adapted from a creative thinking spiral first used in…
Descriptors: Foreign Countries, Generational Differences, Creative Thinking, Educational Technology
Önal, Gökçe Ketizmen – Design and Technology Education, 2017
This study is mainly about developing an approach for fostering creativity in design education through analyzing the interactions among creative dimensions resembling spatial and organizational pattern of folding as a technique and also by the help of cognitive action of designers: workshop participants. In order to make an assessment, a case…
Descriptors: Creativity, Design, Interaction, Spatial Ability
Kelly, Daniel; Denson, Cameron – Journal of STEM Education: Innovations and Research, 2017
The flipped classroom instructional model continues to grow in adoption and use in K-12 classrooms. Although there are an increasing number of studies into the implementation of the flipped classroom, there is limited empirical research into its effectiveness and even fewer into the educational, psychological, and theoretical constructs underlying…
Descriptors: STEM Education, Teacher Effectiveness, Educational Technology, Technology Uses in Education
Paquette, Luc; Rowe, Jonathan; Baker, Ryan; Mott, Bradford; Lester, James; DeFalco, Jeanine; Brawner, Keith; Sottilare, Robert; Georgoulas, Vasiliki – International Educational Data Mining Society, 2016
Computational models that automatically detect learners' affective states are powerful tools for investigating the interplay of affect and learning. Over the past decade, affect detectors--which recognize learners' affective states at run-time using behavior logs and sensor data--have advanced substantially across a range of K-12 and postsecondary…
Descriptors: Models, Affective Behavior, Intelligent Tutoring Systems, Games
Kovanovic, Vitomir; Gaševic, Dragan; Hatala, Marek – Journal of Learning Analytics, 2014
This paper describes doctoral research that focuses on the development of a learning analytics framework for inquiry-based digital learning. Building on the Community of Inquiry model (CoI)--a foundation commonly used in the research and practice of digital learning and teaching--this research builds on the existing body of knowledge in two…
Descriptors: Communities of Practice, Doctoral Dissertations, Electronic Learning, Active Learning
Rich, Peter – Qualitative Report, 2012
Qualitative research methods have long set an example of rich description, in which data and researchers' hermeneutics work together to inform readers of findings in specific contexts. Among published works, insight into the analytical process is most often represented in the form of methodological propositions or research results. This paper…
Descriptors: Grounded Theory, Qualitative Research, Researchers, Interviews
Pardos, Zachary A.; Baker, Ryan S. J. D.; San Pedro, Maria O. C. Z.; Gowda, Sujith M.; Gowda, Supreeth M. – Journal of Learning Analytics, 2014
In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate…
Descriptors: Affective Behavior, Student Behavior, Learner Engagement, Web Based Instruction
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education