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Jakub A. Konkol; George Tsilomelekis – Journal of Chemical Education, 2023
Preprocessing is a critical step in the analysis pipeline of spectroscopic data. However, students are rarely introduced to preprocessing when learning spectral techniques in laboratory courses which in turn may affect and delay their progress in the field. Despite its undoubtable importance, students will be mainly performing spectroscopic…
Descriptors: Laboratory Experiments, Science Instruction, Spectroscopy, Interaction
Alderson, David L. – INFORMS Transactions on Education, 2022
This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…
Descriptors: Curriculum Design, Introductory Courses, Computation, Data Science
Mbouzao, Boniface; Desmarais, Michel C.; Shrier, Ian – International Educational Data Mining Society, 2020
Massive online Open Courses (MOOCs) make extensive use of videos. Students interact with them by pausing, seeking forward or backward, replaying segments, etc. We can reasonably assume that students have different patterns of video interactions, but it remains hard to compare student video interactions. Some methods were developed, such as Markov…
Descriptors: Comparative Analysis, Video Technology, Interaction, Measurement Techniques
Moore, Emilee; Llompart, Júlia – Research-publishing.net, 2017
Interactional data is often central to research in plurilingual learning environments. However, getting a grip on the processes of collecting, organizing, transcribing, analyzing and presenting audio and/or visual data is possibly the most exciting, but also one of the most challenging things about learning to do qualitative research. Although the…
Descriptors: Multilingualism, Ethics, Qualitative Research, Guides
Popescu, Paul Stefan – International Educational Data Mining Society, 2015
In this digital era, learning from data gathered from different software systems may have a great impact on the quality of the interaction experience. There are two main directions that come to enhance this emerging research domain, Intelligent Data Analysis (IDA) and Human Computer Interaction (HCI). HCI specific research methodologies can be…
Descriptors: Data Analysis, Electronic Learning, Interaction, Design
Hoppe, H. Ulrich – Journal of Learning Analytics, 2015
This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…
Descriptors: Eye Movements, Interaction, Cooperative Learning, Semantics
Lo, Mun Ling; Chik, Pakey Pui Man – Scandinavian Journal of Educational Research, 2016
In this paper, we aim to differentiate the internal and external horizons of "fusion." "Fusion" in the internal horizon relates to the structure and meaning of the object of learning as experienced by the learner. It clarifies the interrelationships among an object's critical features and aspects. It also illuminates the…
Descriptors: Schematic Studies, Correlation, Aptitude Treatment Interaction, Inquiry
Gaševic, Dragan; Kovanovic, Vitomir; Joksimovic, Srecko – Learning: Research and Practice, 2017
The field of learning analytics was founded with the goal to harness vast amounts of data about learning collected by the extensive use of technology. After the early formation, the field has now entered the next phase of maturation with a growing community who has an evident impact on research, practice, policy, and decision-making. Although…
Descriptors: Educational Research, Data Analysis, Research and Development, Theory Practice Relationship
Kuosa, Kirsi; Distante, Damiano; Tervakari, Anne; Cerulo, Luigi; Fernández, Alejandro; Koro, Juho; Kailanto, Meri – International Journal of Distance Education Technologies, 2016
This paper presents two interactive visualization tools for learning management systems (LMS) in order to improve learning and teaching in online courses. The first tool was developed at the Intelligent Information Systems Laboratory (IISLab) at the Tampere University of Technology (TUT). The tool is used to analyse students' activity from…
Descriptors: Interaction, Visualization, Online Courses, Electronic Learning
Asamoah, Daniel A.; Sharda, Ramesh; Kalgotra, Pankush; Ott, Mark – Journal of Information Systems Education, 2016
Within the context of the telecom industry, this teaching case is an active learning analytics exercise to help students build hands-on expertise on how to utilize Big Data to solve a business problem. Particularly, the case utilizes an analytics method to help develop a customer retention strategy to mitigate against an increasing customer churn…
Descriptors: Case Method (Teaching Technique), Data Collection, Data Analysis, Educational Research
CyGaMEs Selene Player Log Dataset: Gameplay Assessment, Flow Dimensions and Non-Gameplay Assessments
Reese, Debbie Denise – British Journal of Educational Technology, 2015
The "Selene: A Lunar Construction GaME" instructional video game is a robust research environment (institutional review board approved) for investigating learning, affect, and the CyGaMEs Metaphorics approach to instructional video game design, embedded assessment, and informatics analysis and reporting. CyGaMEs applies analogical…
Descriptors: Video Games, Educational Technology, Research, Design
Eagle, Michael; Johnson, Matthew; Barnes, Tiffany – International Educational Data Mining Society, 2012
We introduce a novel data structure, the Interaction Network, for representing interaction-data from open problem solving environment tutors. We show how using network community detecting techniques are used to identify sub-goals in problems in a logic tutor. We then use those community structures to generate high level hints between sub-goals.…
Descriptors: Data Analysis, Interaction, Network Analysis, Problem Solving
Laurence, Christian; Graton, Jerome; Gal, Jean-Francois – Journal of Chemical Education, 2011
The impossibility of establishing a universal scale of Lewis basicity does not prevent the determination of the quantitative behavior of Lewis bases, thanks to scales constructed against particular Lewis acids: BF[subscript 3], 4-FC[subscript 6]H[subscript 4]OH, I[subscript 2], Li[superscript +], Na[superscript +], K[superscript +], Al[superscript…
Descriptors: Chemistry, Undergraduate Students, Science Education, Interaction
Slattery, Timothy J.; Staub, Adrian; Rayner, Keith – Journal of Experimental Psychology: Human Perception and Performance, 2012
An important question in research on eye movements in reading is whether word frequency and word predictability have additive or interactive effects on fixation durations. A fair number of studies have reported only additive effects of the frequency and predictability of a target word on reading times on that word, failing to show significant…
Descriptors: Eye Movements, Word Recognition, Word Frequency, Reading
Glazier, Samantha; Marano, Nadia; Eisen, Laura – Journal of Chemical Education, 2010
We describe how we use boiling-point trends of group IV-VII hydrides to introduce intermolecular forces in our first-year general chemistry classes. Starting with the idea that molecules in the liquid state are held together by some kind of force that must be overcome for boiling to take place, students use data analysis and critical reasoning to…
Descriptors: Thermodynamics, Chemistry, Interaction, Data Analysis

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