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Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education
Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
Danielle Aming; Elizabeth Cummins; Angela Atwell – Journal of Faculty Development, 2022
This article discusses the importance of developing a system of communication with a large adjunct faculty population. An active faculty roster was developed in order to maintain an accurate and convenient process to remain in constant communication with the adjunct faculty population. By developing a consistent and adaptive process, communicating…
Descriptors: Computer Mediated Communication, Adjunct Faculty, Communication Strategies, Web Sites
Jenness, Sarah; Acheampong, Zoe – Jobs for the Future, 2022
This resource provides helpful information for high school teachers and counselors to better understand computer science, an industry that has many high-wage jobs open across the country. The resource supports effective advising by including an overview of computer science, cybersecurity, and networking; defines in-demand computer science skills…
Descriptors: High School Teachers, Counselors, Computer Science, Academic Advising
Arnò, Simone; Galassi, Alessandra; Tommasi, Marco; Saggino, Aristide; Vittorini, Pierpaolo – International Journal of Distance Education Technologies, 2021
Online proctoring generally refers to the practice of proctors monitoring an exam over the internet, usually through a webcam. This technology has gained relevance during the current COVID-19 pandemic, given that the social distance owing to health reasons has consequently led to the switching of all learning and assessment activities to online…
Descriptors: Supervision, Computer Assisted Testing, Electronic Learning, Educational Technology
Sanna, Andrea; Manuri, Federico; De Pace, Francesco; Valpreda, Fabrizio; Fornaro, Claudio – IEEE Transactions on Learning Technologies, 2022
Design and computer graphics curricula for tertiary education include 3-D modeling skills. Students must learn to represent (complex) 3-D objects by means of parametric surfaces or polygonal meshes. Three-dimensional modeling may be a complex task, and students must be able to accrue a certain deal of experience in the field before passing the…
Descriptors: Design, Computer Graphics, Higher Education, Geometric Concepts
Colorado Department of Higher Education, 2024
Senate Bill 22-192, titled Opportunities for Credential Attainment called on the Colorado Department of Higher Education (CDHE) to work collaboratively with other state agencies, institutions of higher education (IHEs), employers and other stakeholders to build 10 stackable credential pathways across five high-value, high-demand industries between…
Descriptors: Career Pathways, Education Work Relationship, Health Services, Computer Software
Audrey Ellis; Tracie Yorke; Charles Ansell – Complete College America, 2025
As artificial intelligence reshapes many aspects of society and workforce, many colleges and universities have focused on developing technical AI programs within computer science departments. But preparing students and faculty for an AI-enabled future requires more than technical training--it demands a broader approach to AI literacy and…
Descriptors: Artificial Intelligence, Higher Education, Computer Software, Technology Integration
Marc Watkins; Stephen Monroe – Thresholds in Education, 2025
We begin our introduction by acknowledging the valid anxieties of faculty who face rapid technological change brought on by Generative AI (GenAI) tools without adequate institutional support or training. While some scholars advocate for GenAI resistance and others for wholesale adoption, the voices included within this volume argue for a balanced,…
Descriptors: Higher Education, Technology Uses in Education, Artificial Intelligence, Accountability
Danielle Kearns-Sixsmith – Mentoring & Tutoring: Partnership in Learning, 2024
Tutoring promotes student achievement, academic independence, and the reduction of anxiety. While ample studies support tutoring for enhancing student success, few address how to evaluate tutoring. This quandary led to research in building and testing a meta-model that identified the hallmarks of one-on-one high-quality online tutoring.…
Descriptors: Electronic Learning, Tutoring, Higher Education, Educational Quality
Lakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
Kotrikadze, Elena Vazhaevna; Zharkova, Ludmila Ivanovna – Journal of Educational Psychology - Propositos y Representaciones, 2021
Distance learning has always been of interest to researchers and scientists since its inception. In the current environment of the modern world, this type of training is becoming increasingly popular despite the large number of its opponents. Of course, it can not be called absolutely perfect, because it requires the availability of impeccable…
Descriptors: Distance Education, Higher Education, Access to Computers, Internet
Ana E. Redstone; Tian Luo – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article focuses on the practical implementation of Universal Design for Learning (UDL) in an online computer science course, articulating the collaborative efforts between the instructional designer (the first author) and the faculty member to redesign the course using UDL principles. Specific instances of redesigned learning modules and…
Descriptors: Electronic Learning, Computer Science, Student Empowerment, Higher Education
Evaluative Feedback Isn't Enough: Harnessing the Power of Consequential Feedback in Higher Education
Kathleen M. Quinlan; Edd Pitt – Assessment & Evaluation in Higher Education, 2025
Most research on feedback in higher education focuses on evaluative feedback and its recipience, uptake, and enactment. Evaluative feedback information includes judgments, critiques and suggestions for improvement provided by a teacher, peer, self, pre-programmed automatic feedback, or artificial intelligence tutoring systems. In contrast, we…
Descriptors: Feedback (Response), Concept Formation, Higher Education, Health Education

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