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Martin Abt; Katharina Loibl; Timo Leuders; Wim Van Dooren; Frank Reinhold – Educational Studies in Mathematics, 2025
In the boxplot, the box always represents -- regardless of its area -- the middle half of the data and thus a measure of variability (interquartile range). However, when students first learn about boxplots, they are usual already familiar with other forms of statistical representations (e.g., bar or circle graphs) in which a larger area represents…
Descriptors: College Students, Data Analysis, Graphs, Error Patterns
Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection
Pei Wang – International Journal of Information and Communication Technology Education, 2024
In today's university era, reforming the English teaching model has become a major research topic for researchers. Based on this, this paper adopts a hierarchical and progressive model construction method to further explore the reform model of university English teaching in the context of educational ecology. First, this paper discusses the…
Descriptors: English (Second Language), Second Language Instruction, Educational Change, Change Strategies
Diana Adela Martin; Gunter Bombaerts – European Journal of Engineering Education, 2025
Challenge Based Learning (CBL) is an educational approach that has gained popularity in response to the need for authentic learning environments. While the CBL literature is predominantly focused on cases of pedagogical implementations, the actual processes by which students develop CBL projects remain under-investigated. This shortitudinal study…
Descriptors: Student Projects, Active Learning, Difficulty Level, Student Behavior
Punyapa Boontam; Supakorn Phoocharoensil – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
In recent years, there has been growing interest in the use of data-driven learning (DDL) in L2 writing instruction. This paper examined whether and to what extent DDL activities could enhance the writing complexity, accuracy, and fluency (CAF) of 30 Thai EFL learners. The presentation of DDL in this study was hands-on concordancing with the…
Descriptors: Foreign Countries, English (Second Language), Data Use, Difficulty Level
Geoffroy P. J. C. Noel; Isabella Xiao; Maher Chaouachi; Alexandru Ilie; Jeremy O'Brien; Sean C. McWatt – Anatomical Sciences Education, 2025
Mixed reality (MR) offers a way to visualize and manipulate complex digital objects in three dimensions, which is particularly beneficial for human anatomy. However, implementing MR effectively requires a deep understanding of its effects on cognitive processes. The purpose of this study was to evaluate cognitive markers of students' engagement…
Descriptors: Cognitive Processes, Difficulty Level, Medical Students, Trainees
Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests
Wu, Pengfei; Ma, Fengjuan; Yu, Shengquan – Interactive Learning Environments, 2023
A linked data approach provides new opportunities for annotating, interlinking, sharing and enriching massive open online educational resources. However, it can be difficult for non-expert users to build and utilize the educational linked data in educational settings. Thus, flexible and user-friendly ways to represent, interlink, visualize and…
Descriptors: Art Education, Design, Undergraduate Students, Student Motivation
Kjelvik, Melissa K.; Schultheis, Elizabeth H. – CBE - Life Sciences Education, 2019
Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…
Descriptors: Data Use, Scientific Research, Information Literacy, STEM Education
Yuchen Liu; Stanislav Pozdniakov; Roberto Martinez-Maldonado – Australasian Journal of Educational Technology, 2024
Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA…
Descriptors: Visualization, Story Telling, Data Use, Cognitive Processes
Lodge, Jason M.; Alhadad, Sakinah S. J.; Lewis, Melinda J.; Gaševic, Dragan – Technology, Knowledge and Learning, 2017
The use of big data in higher education has evolved rapidly with a focus on the practical application of new tools and methods for supporting learning. In this paper, we depart from the core emphasis on application and delve into a mostly neglected aspect of the big data conversation in higher education. Drawing on developments in cognate…
Descriptors: Statistical Inference, Data Interpretation, Interdisciplinary Approach, Higher Education
Reza Kachouie; Stephen Williams; Harsh Suri – Journal of Information Systems Education, 2024
In today's data-centric world, knowledge and skills in business analytics (BA) have become critical for business professionals to the extent that Foundation BA courses are increasingly being recognised globally as the core component of business programs. However, these courses are characterised by large cohorts of students from diverse backgrounds…
Descriptors: Business Education, Data Analysis, Business Administration, Courses
Weathers, Danny; Aragón, Oriana – Marketing Education Review, 2019
As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…
Descriptors: Marketing, Curriculum Development, Teaching Methods, Data Analysis
Chavan, Pankaj; Mitra, Ritayan; Srree Murallidharan, Janani – European Journal of Engineering Education, 2022
Student and teacher perceptions of course content are critical components of the teaching and learning process. Studies that have investigated such perceptions offer conflicting evidence of both convergence and divergence between the perceptions of students and teacher. These studies used data modalities such as interviews and surveys, which have…
Descriptors: Student Attitudes, Teacher Attitudes, Difficulty Level, Engineering Education
Isolda Margarita Castillo-Martínez; Davis Velarde-Camaqui; María Soledad Ramírez-Montoya; Jorge Sanabria-Z – Journal of Social Studies Education Research, 2024
Reasoning for complexity is a fundamental competency in these complex times for solutions to social problems and decision-making. The purpose of this paper is to demonstrate the validity and reliability of the eComplexity instrument by presenting its psychometric properties. The instrument consists of a Likert-type scale questionnaire designed to…
Descriptors: Psychometrics, Test Validity, Test Reliability, Difficulty Level

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