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Wu, Jiun-Yu; Yang, Christopher C. Y.; Liao, Chen-Hsuan; Nian, Mei-Wen – Educational Technology & Society, 2021
This methodological-theoretical synergy provides an integrative framework of learning analytics through the development of the human-and-machine symbiotic reinforcement learning. The framework intends to address the challenges of the current learning analytics model, including a lack of internal validity, generalizability, immediacy,…
Descriptors: Learning Analytics, Electronic Learning, Man Machine Systems, Artificial Intelligence
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Changpetch, Pannapa; Reid, Moya – Journal of Education for Business, 2021
Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…
Descriptors: Data Analysis, Models, Statistical Analysis, Undergraduate Students
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Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence
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Xie, Heping; Zhao, Tingting; Deng, Sue; Peng, Ji; Wang, Fuxing; Zhou, Zongkui – Journal of Computer Assisted Learning, 2021
Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…
Descriptors: Eye Movements, Attention, Cognitive Ability, Learning Processes
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Lelis, Catarina – Design and Technology Education, 2021
University students often struggle with choosing a topic for their final projects due to the lack of a supporting and defining framework for said selection. Should the student be oriented toward reflecting on how each of the possible topics to choose from can become an impactful project in the short, mid and long run, maybe that selection becomes…
Descriptors: Student Projects, Design, Selection Tools, Visualization
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Veith, Sonja Isabel; Friege, Gunnar – Physics Education, 2021
Sound is an interesting topic for physics lessons at all ages. However, it is difficult to illustrate this ubiquitous phenomenon and many models do not adequately represent the properties of sound and thus promote unwanted conceptions. The experiment presented here avoids this by visualising sound itself with the help of the schlieren technique.…
Descriptors: Acoustics, Visualization, Physics, Water
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Oss, Stefano – Physics Education, 2021
An apparatus of the 70s for measuring thermal conductivity in different materials is used to visualize, through an infrared thermal imaging approach, temperature fields and the heat diffusion process. The observed temperature profiles also suggest solid grounds for a fair mathematical modelling of this phenomenon.
Descriptors: Science Equipment, Measurement Equipment, Heat, Visualization
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Ouyang, Fan; Li, Xu; Jiao, Pengcheng; Peng, Xian; Chen, Wenzhi – International Journal of Distance Education Technologies, 2021
The design of social learning analytics (SLA) tools has become a practical means to make available learning information with a goal to improve students' regulation, reflection, and engagement in online learning. This design-based research uses the multi-method analytics to iteratively design, implement, and modify the SLA tool that makes available…
Descriptors: Learning Analytics, Socialization, Electronic Learning, Computer Mediated Communication
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Dogucu, Mine; Çetinkaya-Rundel, Mine – Journal of Statistics and Data Science Education, 2021
Best practices in statistics and data science courses include the use of real and relevant data as well as teaching the entire data science cycle starting with importing data. A rich source of real and current data is the web, where data are often presented and stored in a structure that needs some wrangling and transforming before they can be…
Descriptors: Statistics Education, Data Use, Best Practices, Data Analysis
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Pham, Lam; Tytler, Russell – Research in Science Education, 2022
Many researchers have reported that bridging analogies can productively support students' scientific meaning-making. How this can be understood semiotically is, however, not well understood. This research followed an ethnographic case study approach to investigate Year 11 students meaning-making through a process of transduction (Kress, 2000;…
Descriptors: Semiotics, Chemistry, Science Process Skills, Ethnography
Manoharan, Manju; Kaur, Berinderjeet – Mathematics Education Research Group of Australasia, 2022
Diagrams are succinct, visual representations of real-world or mathematical objects that serve to communicate properties of the objects and facilitate problem solving. This study explored perceptions of mathematics teachers in Singapore, who are heads of mathematics departments in their respective schools, related to diagrams and their use in the…
Descriptors: Visual Aids, Mathematics Instruction, Mathematics Teachers, Teacher Attitudes
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Asli Koçulu; Girgin, Sefika; Topsakal, Unsal Umdu – International Journal of Progressive Education, 2022
STEM education (based on the integration of the science, technology, engineering and mathematics disciplines) has recently been an integral part of education system and curriculum in many countries aiming to be more technologically competitive in this age of innovation. While the importance of STEM education has gradually increasing in education…
Descriptors: Preservice Teachers, STEM Education, Cognitive Mapping, Science Education
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O'Sullivan, Íde; Hart, D. Alexis; Holmes, Ashley J.; Knutson, Anna V.; Sinha, Yogesh; Yancey, Kathleen Blake – Composition Forum, 2022
This article draws on examples of student interviews incorporating multiple modalities to explore the writing lives of students as part of a larger project focusing on participants' experiences of writing within and beyond the university. We explain this innovative, iterative research method combining multiple texts and maps, characterizing it as…
Descriptors: Writing Research, Writing (Composition), Writing Processes, Interviews
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Corovic, Ellen – Australian Primary Mathematics Classroom, 2022
This article aims to outline the important role of the summary phase within a mathematics instructional model and provide six strategies to support teachers to move beyond "share time." By drawing upon good teaching strategies during the summary phase, teachers can enhance the learning experience for themselves and for their students.…
Descriptors: Mathematics Instruction, Teaching Methods, Visualization, Learning Experience
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Besken, Miri; Mulligan, Neil W. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Ancient as well as modern writers have promoted the idea that bizarre images enhance memory. Research has documented bizarreness effects, with one standard technique finding that sentences describing unusual, implausible, or bizarre scenarios are better remembered than sentences describing plausible, every day, or common scenarios. Not…
Descriptors: Memory, Visual Stimuli, Visualization, Cognitive Processes
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