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Yichun Miriam Liu; Eunice Kim; Greg M. Allenby – Marketing Education Review, 2025
We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…
Descriptors: Business Schools, Computer Software, Marketing, Programming
Sequeira Cesar de Oliveira, Juliana – ProQuest LLC, 2023
The present study sought to evaluate trial designs and training designs that are commonly used in popular commercially available computer-assisted language-learning (CALL) programs. The first two experiments (Experiment 1a and 1b) compared the effects of passive viewing and active student response methods in vocabulary learning. Contingencies on…
Descriptors: Computer Assisted Instruction, Teaching Methods, Computer Software, Vocabulary Development
Sonia Lorente; Mónica Arnal-Palacián; Maximiliano Paredes-Velasco – European Journal of Psychology of Education, 2024
The European Higher Education Area (EHEA) proposes to enhance active learning and student protagonism in order to improve academic performance. In this sense, different methodologies are emerging to create scenarios for self-regulation of their learning. In this study the cooperative, collaborative and interdisciplinary learning methodologies were…
Descriptors: Cooperative Learning, Interdisciplinary Approach, Computer Software, Universities
Wong Sing Yun; Sarimah Surianshah – International Journal of Technology in Education, 2024
The emergence of innovative artificial intelligence (AI) technologies, such as ChatGPT, which was just released in November 2022, has the potential to significantly transform the current state of education. Put another way, learning is changing as a result of chatbots' personalized assistance, group discussions and collaborations, evaluations of…
Descriptors: Bibliometrics, Computer Software, Artificial Intelligence, Technology Uses in Education
Dimitrije Curcic – International Journal of Technology in Education and Science, 2024
Within digital drawing courses, students are immersed in the utilization of software tools and technological advancements to craft a diverse array of artwork, illustrations, graphics, and animations, adhering to both industry standards and artistic principles. However, tailoring the complexity of digital drawing assignments to accommodate students…
Descriptors: Freehand Drawing, Computer Uses in Education, Assignments, Higher Education
Li Chen; Dirk Ifenthaler; Jane Yin-Kim Yau; Wenting Sun – Education & Training, 2024
Purpose: The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain. Design/methodology/approach: A scoping review was conducted using six…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Entrepreneurship
Rishwinder Singh Baidwan; Radhika; Rakesh Kumar – Journal of Educational Technology, 2024
Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Models
Bretscher, Nicola – Digital Experiences in Mathematics Education, 2023
This article investigates the knowledge arising in mathematics teachers' planning of how to manage transitions within and beyond dynamic geometry environments in the topic of circle theorems. The notion of situated abstraction is used to elaborate the central TPACK construct within mathematics education and address previous criticisms of the…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Education, Teaching Methods
Byran J. Smucker; Nathaniel T. Stevens; Jacqueline Asscher; Peter Goos – Journal of Statistics and Data Science Education, 2023
The design and analysis of experiments (DOE) has historically been an important part of an education in statistics, and with the increasing complexity of modern production processes and the advent of large-scale online experiments, it continues to be highly relevant. In this article, we provide an extensive review of the literature on DOE…
Descriptors: Statistics Education, Data Science, Experiments, Teaching Methods
Diana Kirk; Andrew Luxton-Reilly; Ewan Tempero – ACM Transactions on Computing Education, 2025
Objectives: Code style is an important aspect of text-based programming because programs written with good style are considered easier to understand and change and so improve the maintainability of the delivered software product. However teaching code style is complicated by the existence of many style guides and standards that contain…
Descriptors: Computer Science Education, Programming, Computer Software, Teaching Methods
Yong Zhao – ECNU Review of Education, 2025
Purpose: The purpose is to stimulate imagination of artificial intelligence (AI) and education beyond current schooling. Design/Approach/Methods: The approach this article took is a broad review of literature on learning, teaching, schooling, and technological development and evidence-based reasoning about the possible future of education in the…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Problem Based Learning
Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
Madhu Prabakaran – Higher Education for the Future, 2025
This article explores the diverse epistemic perspectives on intelligence, tracing its conceptual evolution across early Indian philosophy, Western philosophical thought and contemporary computational theories. Intelligence is examined as a dynamic, multifaceted phenomenon that transcends mere cognition, extending into embodied, ecological and…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Philosophy
Melissa Fortner; Iva Katzarska-Miller – Teaching of Psychology, 2025
Introduction: Recent advancements in generative AI (GAI) platforms appear to mark an abrupt shift in higher education. Statement of the Problem: Instructors have a responsibility to teach students to use GAI, which is a promising tool for promoting personalized, student-centered, process-focused learning environments. Literature Review: Drawing on…
Descriptors: Artificial Intelligence, Majors (Students), Computer Software, Student Centered Learning
Carolyn Fitzpatrick – Journal of Faculty Development, 2025
In the rapidly evolving landscape of higher education, the clarity, measurability, and alignment of course objectives are more critical than ever. Effective course design hinges on well-defined learning objectives that guide both instruction and assessment. However, creating these objectives can be a daunting task for faculty, especially when…
Descriptors: Educational Change, Educational Objectives, Higher Education, Alignment (Education)

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