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Sarah F. Small – Journal of Economic Education, 2024
The author of this article describes an exercise for introductory economics courses in which students are exposed to the breadth of economic study using JEL codes. JEL codes have historically been used to classify economic subject matter and ultimately document the ever-evolving scope of economics. This discussion assignment provides an…
Descriptors: Economics Education, Introductory Courses, Learning Activities, Assignments
Bayan Masarwa; Hagit Hel-Or; Sharona T. Levy – Journal of Research in Childhood Education, 2024
Computational thinking (CT) activities are increasingly being integrated into early childhood schools. We focus on studying children's learning using an "unplugged" (non-computational) learning unit that considers a teacher's knowledge and classroom space and affords seamless adaptation into the classroom given the objects used in the…
Descriptors: Kindergarten, Computation, Thinking Skills, Educational Games
Carina Büscher – International Journal of Science and Mathematics Education, 2025
Computational thinking (CT) is becoming increasingly important as a learning content. Subject-integrated approaches aim to develop CT within other subjects like mathematics. The question is how exactly CT can be integrated and learned in mathematics classrooms. In a case study involving 12 sixth-grade learners, CT activities were explored that…
Descriptors: Mathematics Instruction, Thinking Skills, Teaching Methods, Computer Science Education
Funda Örnek; Shaima Alaam – Science & Education, 2025
This study analyzed Bahraini primary school science textbooks and workbooks from grades 1 to 6 in terms of their coverage of the five essential features of scientific inquiry. These features include the following: feature 1, engaging learners in scientifically oriented questions; feature 2, making learners give priority to evidence in responding…
Descriptors: Foreign Countries, Science Instruction, Textbooks, Content Analysis
Thomas K. F. Chiu – Educational Technology Research and Development, 2024
Generative AI such as ChatGPT provides an instant and individualized learning environment, and may have the potential to motivate student self-regulated learning (SRL), more effectively than other non-AI technologies. However, the impact of ChatGPT on student motivation, SRL, and needs satisfaction is unclear. Motivation and the SRL process can be…
Descriptors: Artificial Intelligence, Independent Study, Self Management, Self Determination
Arriaza Hult, Maria – Journal of Adult and Continuing Education, 2023
This article interprets how five left-leaning parties in Sweden and Spain intend to politically socialise their members through the use of educational activities. By applying a framing perspective on interviews with leading party representatives from the five parties, the analysis theoretically illuminates how educational activities can be a tool…
Descriptors: Cross Cultural Studies, Political Attitudes, Socialization, Learning Activities
Hemmler, Yvonne M.; Rasch, Julian; Ifenthaler, Dirk – TechTrends: Linking Research and Practice to Improve Learning, 2023
Educational recommender systems offer benefits for workplace learning by tailoring the selection of learning activities to the individual's learning goals. However, existing systems focus on the learner as the primary stakeholder of learning processes and do not consider the organization's perspective. We conducted a systematic review to develop a…
Descriptors: Workplace Learning, Educational Objectives, Educational Technology, Artificial Intelligence
Jonathan K. Foster; Peter Youngs; Rachel van Aswegen; Samarth Singh; Ginger S. Watson; Scott T. Acton – Journal of Learning Analytics, 2024
Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos…
Descriptors: Learning Analytics, Automation, Classification, Artificial Intelligence
Kalender Arikan – Journal of Baltic Science Education, 2025
Learning style (LS), either visual or verbal, has become debatable in the f ield of education vis-à-vis its relation to student success. However, it remains a valuable research theme for improving learning activities in the teaching of highly visual science fields, including biology, physics, and chemistry. Previous studies have primarily focused…
Descriptors: Cognitive Style, Biology, Retention (Psychology), Science Education
Ajao, Adeola; Fitzallen, Noleine; Chick, Helen; Oates, Greg – Mathematics Education Research Group of Australasia, 2023
In this paper, the SOLO taxonomy is used to identify different levels of student understanding of the statistical concepts associated with sampling distribution. This study was part of a research project investigating students' conceptual understanding of concepts of hypothesis testing taught with the support of simulation learning activities. The…
Descriptors: Taxonomy, Statistics Education, Learning Activities, Simulation
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Gitinabard, Niki; Gao, Zhikai; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – Journal of Educational Data Mining, 2023
Few studies have analyzed students' teamwork (pairwork) habits in programming projects due to the challenges and high cost of analyzing complex, long-term collaborative processes. In this work, we analyze student teamwork data collected from the GitHub platform with the goal of identifying specific pair teamwork styles. This analysis builds on an…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Student Projects
Hayama, Tessai; Odate, Hidetaka; Ishida, Naoto – International Journal on E-Learning, 2020
The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…
Descriptors: Student Behavior, Data Collection, Measurement Equipment, College Students
E. Taranto; G. Colajanni; A. Gobbi; M. Picchi; A. Raffaele – International Journal of Mathematical Education in Science and Technology, 2024
Operations Research (OR) is a branch of applied mathematics that deals with optimization problems arising from different real contexts. The solving process of its problems is based on the construction and resolution of mathematical models, showing the possible connections between mathematics and the real world. Nevertheless, OR is not typically…
Descriptors: Problem Solving, Cooperative Learning, Information Technology, Mathematics Instruction
Flowers, Sharleen; Holder, Kal H.; Gardnera, Stephanie M. – Journal of Microbiology & Biology Education, 2023
Understanding molecular processes and coordinating the various activities across levels of organization in biological systems is a complicated task, yet many curricular guidelines indicate that undergraduate students should master it. Employing mechanistic reasoning can facilitate describing and investigating biological phenomena. Biofilms are an…
Descriptors: Microbiology, Science Education, Undergraduate Students, Molecular Biology